Abstract
New COVID-19 ventilation guidelines have resulted in higher energy consumption to maintain indoor air quality (IAQ), and energy efficiency has become a secondary concern. Despite the significance of the studies conducted on COVID-19 ventilation requirements, a comprehensive investigation of the associated energy challenges has not been discussed. This study aims to present a critical systematic review of the Coronavirus viral spreading risk mitigation through ventilation systems (VS) and its relation to energy use. COVID-19 heating, ventilation and air conditioning (HVAC)-related countermeasures proposed by industry professionals have been reviewed and their influence on operating VS and energy consumption have also been discussed. A critical review analysis was then conducted on publications from 2020 to 2022. Four research questions (RQs) have been selected for this review concerning i) maturity of the existing literature, ii) building types and occupancy profile, iii) ventilation types and effective control strategies and iv) challenges and related causes. The results reveal that employing HVAC auxiliary equipment is mostly effective and increased fresh air supply is the most significant challenge associated with increased energy consumption due to maintaining IAQ. Future studies should focus on novel approaches toward solving the apparently conflicting objectives of minimizing energy consumption and maximizing IAQ. Also, effective ventilation control strategies should be assessed in various buildings with different occupancy densities. The implications of this study can be useful for future development of this topic not only to enhance the energy efficiency of the VS but also to enable more resiliency and health in buildings.
Keywords: COVID-19, Energy, HVAC systems, Indoor air quality, SARS-CoV-2, Systematic review, Ventilation
Graphical abstract
Abbreviations
- AHU
Air handling unit
- AI
Artificial intelligence
- AiCARR - Italy
Associazione Italiana condizionamento dell'aria, riscaldamento refrigerazione
- AICVF - France
Association des ingénieurs et techniciens en climatique, ventilation et froid
- AIHA
The American industrial hygiene association
- ASC
Architectural society of China
- ASHRAE
American society of heating, refrigerating and air-conditioning engineers
- ATECYR - Spain
Asociación técnica Espańola de climatizacióny refrigeración
- CCO2
Carbon dioxide concentration
- CAR
Chinese association of refrigeration
- CCIAQ
Canadian committee on indoor air quality
- CDC
The centre for disease control and prevention
- CG
Canadian government
- CIBSE
The chartered institution of building services engineers
- DCV
Demand-controlled ventilation
- ECDC
European centre for disease prevention and control
- EU-OSHA
European agency for safety and health at work
- HEPA
High-efficiency particulate air
- HV
Hybrid ventilation
- HVAC
Heating, ventilation and air conditioning
- IAQ
Indoor air quality
- ICT
Information and communication technologies
- IEQ
Indoor environmental quality
- IoT
Internet of things
- ISHRAE
Indian society of heating, refrigerating and air conditioning engineers
- ISO - Germany
International standard organization
- MV
Mechanical ventilation
- NAAD UK
National association of air duct specialists, The United Kingdom
- NHC
National health commission of the people's republic of China
- NV
Natural ventilation
- OSHA
The occupational safety and health administration
- PAHO
Pan American health organization
- RH
Relative humidity
- PHO
Public health Ontario
- REHVA
Federation of European heating, ventilation and air conditioning associations
- RQs
Research questions
- SARS-CoV-2
Severe acute respiratory syndrome Coronavirus-2
- SCC
The state council of China
- SHASE
Society of heating, air-conditioning and sanitary engineers in Japan
- T
Temperature
- UVGI
Ultraviolet germicidal irradiation
- VS
Ventilation systems
- WHO
World health organization
1. Introduction
Since late 2019, the world has dealt with the consequences of the universal spread of the serve acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) [1]. The virus is recognized to be extremely infectious and primarily spreads by droplet, contact, and airborne modes [2]. Droplets exceeding 8 to 4 μm in diameter vanish after 20–90 min, respectively. Smaller droplets (probably ≤3 μm and not ≤5 μm) stay airborne within greater amount of time [3]. Studies in both indoor and outdoor settings have emphasized the significance of airborne spread through droplets and, especially, aerosols [4]. Aerosols have a longer lifespan and greater airborne mobility than droplets [5] and can be transmitted through inhalation of virally contaminated air [6]. Therefore, indoor air quality (IAQ) has become a priority in building design [7]. It has brought global attention to the utilization of efficient engineering methods to preserve environmental quality [8], and human health and to prevent shutdowns in busy interior areas [9].
Ventilation is usually regarded as an effective engineering control strategy to prevent airborne transmission since it increases the availability of clean outside air [6], via a simple application [10]. There is an undeniable relationship between ventilation and the spread of viral diseases [11] through removing contaminants [12]. Ventilation is also accomplished by lowering the concentration of the airborne particles produced during expiration [6,13]. However, the risk of infection increases if the ventilation is not efficient [14] due to blocked airflow passage [15], low ventilation rate shared with a high number of occupants [13] in compact zones [16], lack of proper filters [17] or improper operation management [14].
Addressing the COVID-19 outbreak, ventilation countermeasures proposed through several organizations, institutions, and industry professionals, seem to be developed without energy efficiency concerns [18]. These guidelines have resulted in higher energy consumption to achieve comfort levels. In essence, during the Coronavirus outbreak, health has taken precedence [19], pushing other issues like energy use or weather crisis, as a secondary concern [1]. In light of the current health and environmental concerns, if we want to create healthy and energy-efficient indoor settings, correct ventilation systems (VS) design should not be limited to the evaluations of comfort and IAQ but is also required to consider energy, economy, and carbon emissions [18]. Fig. 1 illustrates a link among IAQ control, energy use and the VS operation. According to this figure, the airborne transmission of the virus caused by human respiration can happen indoors. The top diagram represents the details of the viability and mobility of the virus and the variations in recommended physical distance ranges from 1 to 2 m. All of these distances provide a reduction in the risk of infection transmission. Factors such as time, droplet velocity, wind movement, the role of masks, and ventilation impact this gradient of risk. Ventilation can dilute the viral load by increasing the amount of fresh air either naturally or by force [20]. However, there is a conflict between the desire to improve IAQ by reducing the pollutant and aerosol concentration and the desire to minimize the ventilation rate, as shown in the bottom right diagram of Fig. 1 [21]. This will also increase energy consumption to purify and heat the excessive fresh outdoor air [22]. Therefore, an optimal ventilation control strategy is required to maintain a balance between the two conflicting objectives of minimizing energy use and maximizing IAQ [21].
Fig. 1.
Energy efficient ventilation and IAQ in the context of COVID-19 (The bottom right diagram has been redrawn from Ref. [21]- The ventilation figures have been taken from Ref. [20]).
Several studies investigated the impact of COVID-19's new ventilation guidelines on IAQ and energy consumption in different settings. Through a bibliometric analysis, Moghadam et al. [23] highlighted the need for comprehensive scientific studies on the energy challenges of COVID-19 ventilation. Zheng et al. [22] investigated the effect of the Coronavirus outbreak on VS energy use through identifying the indoor transmission modes of the virus, comparing the VS operational guidelines and their quantitative impact on energy use. Franco et al. [21] proposed an optimized operation of Heating, ventilation, and air conditioning (HVAC) equipment operation to balance IAQ standards and energy use. Settimo and Avino [24] represented their concern regarding the significance of increased energy use related to new COVID-19 HAVC operational control strategies in public and private settings to maintain IAQ. Cortiços and Duarte [1] compared the energy use and costs and the CO2 emissions of US office buildings due to applying new COVID-19 guidelines before and after the pandemic. Sha et al. [25] measured a VS operation of a high-rise building during the outbreak. The research proposed an optimal operation of these systems to reduce the transmission risk and energy use through dilution ventilation and ventilative cooling. Qin et al. [26] explored the application of impinging jet ventilation system to reduce virus airborne transmission and energy use in high occupancy density indoor environments. Through a systematic review study, Zaniboni and Albatici [27] suggested the application of both natural and mechanical ventilation to maintain a balance between energy and IAQ, considering the increased energy use after the COVID-19 pandemic regulations. Using machine learning models, Jiang et al. [28] suggested an occupancy-based predictive method to operate VS, reducing energy use and airborne transmission risk.
Despite the significance of the studies conducted on ventilation requirements and COVID-19 prevention, there has yet to be any extensive study on the scientific literature relating to ventilation, IAQ, COVID-19, and energy efficiency published as a result of COVID-19 HVAC-related industry guidelines [23]. Although the reviewed studies examined the application of the new Coronavirus HAVC settings for energy consumption and transmission risk reduction, a comprehensive investigation of the VS energy challenges in response to the COVID-19 outbreak has not been discussed in the previous literature. To bridge this gap, this review analyses the literature on excessive energy consumption due to the new building ventilation paradigm to ensure IAQ during and after the pandemic. This has been done through a review analysis of existing literature and led to determining the major research gaps. To the best of the authors’ knowledge, this is the first systematic review of its kind, which reviews the state-of-the-art energy penalties of VS operation from the start of the COVID-19 pandemic to the present. To complete this systematic review, this research has examined published papers on building ventilation, IAQ, and energy consumption considering the Coronavirus outbreak from January 2020 to July 2022. The study is structured as shown in Fig. 2 . According to this figure, section 1 of the paper reviews the state-of-the-art. Section 2 mainly compares HVAC-related guidelines provided by different associations based on some key operational factors. Section 3 of the paper provides the details of the methodology and the RQs. The review results and a detailed discussion of the outcomes of the RQs are presented in section 4. Finally, the conclusions and the future work orientations are given in section 5.
Fig. 2.
Research structure.
This review expands the existing knowledge through analysing recent information on the energy constraints of operating VS and IAQ provision during and after the pandemic and demonstrating the existing knowledge gaps and future directions. The practical implications of the review offer tested energy-efficient strategies to increase the sustainability of current and future buildings, improve IAQ, lower fossil fuels, and the energy costs anticipated to persist even after the COVID-19 pandemic. In essence, the increased amount of fossil fuels used by the building sector has increased CO2 emissions and, ultimately, significant weather changes [29]. Also, today's businesses avidly explore creative innovations compatible with environmentally friendly manufacturing due to the fast rise in environmental preservation requirements [30] and building operational conditions. This targets industry and policymakers regarding regulations and standards considering cost and emission reductions of the correct design and operation of the VS to achieve sustainability. The proper operation of the VS will also bring cost and energy efficiency benefits for occupants and governments.
The results of this critical review analysis contribute to the development of the building industry and services. From an industrial perspective, the energy-efficiency consideration of VS contributes to developing intelligent technologies for future predictions and monitoring in the building service sector [22] and reliable and quick load forecast frameworks for energy supply and demand management [31]. HVAC system accounts for almost 10% of global energy consumption [32]. Also, nearly 50% of the world's greenhouse gas emissions are caused by power generation, heating and other sectors [33], and changes in fuel cost and energy prices in different operating conditions [34]. Thus, the industrial benefits of energy-efficient VS operation fit well with adequate cost savings, compliance with regulations, and enhanced productivity of these systems [35] during severe pandemic periods.
2. Review of the COVID-19 guidelines
2.1. COVID-19 HAVC guidelines proposed by industry professionals and institutions
Since the start of the COVID-19 outbreak, several worldwide organizations and institutions have published ventilation guidelines, as shown in the timeline of Fig. 3 . Since the pandemic's start, the number of published guidelines by different associations has decreased monthly, given that the topic was developed through publications, experiments, and medical advancements [36]. Also, among all the organizations, ASHRAE continuously released more guidelines with broader topics, from infectious aerosols management [37] to operation and maintenance in different settings [38]. The guideline topics released by each of the organizations are provided in Fig. 3.
Fig. 3.
Timeline of the COVID-19 HAVC guidelines proposed by industry professionals and institutions.
After institutions published the COVID-19 ventilation countermeasures, the scientific publication trend increased through different investigations on the proposed interventions [23]. In essence, the scientific literature validated the application of the new HAVC settings in buildings to examine the transmission risk reduction of the Coronavirus. Studies published within this scope can be categorized as follows.
-
-
Monitoring-based or simulation-assisted studies based on employing the new HVAC operation guidelines regarding ventilation setpoints, airflow exchange rate and pattern, filtration efficiency, occupancy control, natural ventilation modification, and application of demand-controlled ventilation (DCV). These investigations have been done in different building types.
-
-
Comparison of the building performance energy and cost due to self-isolation and telework before, during, and after the pandemic.
-
-
Maintenance and management solutions of HVAC systems.
-
-
Occupant behaviour modelling for building performance simulation for COVID-19 infection control interventions.
-
-
Lessons learned from reviewing the already-in-hand publications.
However, before reviewing the scientific literature on IAQ, ventilation, energy efficiency, and COVID-19 published following the COVID-19 industry countermeasures, it is essential to review these recommendations based on several key factors. These recommendations are developed without energy efficiency concerns, particularly with a substantial increase of fresh outside air [6] at its nominal speed [39], either naturally or mechanically [40]. As shown in Fig. 1, the recommended increased ventilation rates to mitigate the transmission probability can lead to higher energy use to achieve comfort levels [6], particularly from a long-term environmental perspective [41]. Additionally, most mechanical ventilation (MV) systems now in use, which were created to operate efficiently under normal circumstances, cannot handle the additional fresh air supply [6]. During an outbreak, this extra usage could be acceptable; nevertheless, balancing the exchange between energy and transmission reduction is essential for sustainability and ongoing public health [41]. Moreover, no single recommendation may be used in every situation since, in reality, indoor air conditions differ in terms of climate, building type, and use [41].
Table 1 compares and contrasts the COVID-19 HVAC-related countermeasures proposed by industry professionals based on six key factors. Overall, these guidelines mainly include outdoor air and airflow pattern, indoor air and pressure differentials, operating HVAC systems and auxiliary equipment, filtration and air purification and the temperature (T) and relative humidity (RH) setpoints. The institutions commonly agree on these critical factors as the leading ventilation solutions to significantly reduce the danger of the virus spread [42]. Although most of these recommendations seem to be consistent, several conflicting details arise from the uncertainties of the virus characteristics and transmission mechanism in buildings [42].
Table 1.
COVID-19 HVAC-related countermeasures proposed by industry professionals. Summary of [1,22,25,39,42,43].
| Key factors of HVAC operation | USA |
Europe |
Japan |
Canada |
China |
India |
WHO |
|
|---|---|---|---|---|---|---|---|---|
| ASHRAE | CDC | REHVA, ECDC | SHASE | CCIAQ, PHO | ASC, NHC | ISHRAE | WHO | |
| Fresh air supply and airflow pattern |
|
|
|
|
|
|
|
|
| Indoor air and pressure differentials |
|
|
|
|
– |
|
|
|
| Operation of HVAC systems |
|
|
|
|
|
|
|
|
| Inside comfort (T and RH setpoints) |
|
– |
|
|
|
|
|
– |
| Filtration and air cleaning |
|
|
|
|
|
|
|
|
| Application of auxiliary equipment |
|
– |
|
|
|
|
|
– |
The comparisons in Table 1 demonstrate that providing excessive outdoor air supply and creating efficient circulation patterns is a crucial tactic to lower the danger of virus airborne spread. Also, the following common countermeasure is the increased running time of HVAC systems, 2 h before and after occupancies. It is also essential to keep regular filter maintenance and possibly disable the air recirculation for air conditioning devices and maintain negative pressure to avoid airflow routes running from polluted areas to clean area. However, these measures vary at some points, such as T and RH setpoints and the operation of heat recovery equipment, given that more research is yet required to investigate whether and in what condition setpoints changes impact virus transmission [42].
2.2. Pre and post-COVID-19 HVAC operation settings
Fig. 4 classifies HVAC operation settings, comparing ASHRAE 62.1 standard and the ASHRAE COVID-19 mitigation guidelines. These parameters show variations in ventilation outdoor air volume, in which there is a substantial increase of fresh and outdoor air provision, as well as cancelation of the 20% re-entrainment air for energy efficiency. The additional fresh outdoor air supply is due to decreasing the virus transmission by removing and diluting indoor air contaminants [40]. The cancelation of 20% re-entrainment air also corresponds to maintaining standard IAQ by reducing the exhaust air and improving more fresh air supply to reduce the risk of transmission through the dilution of airborne contaminants. If air recirculation is needed, VS requires to include an exhaust air filtration and increase the proportion of fresh outside air by more than 40% [42]. Due to the inefficiency of the pre-pandemic settings, the exhaust air transfer rate changed from less than 10% to less than 3% with the same principle. Air distribution based on the use of MV or MV and natural ventilation (NV) also varies under favorable climate assessment. Filters are upgraded from MERV 8 to MERV 13, and additional HEPA filters and ultraviolet germicidal irradiation (UVGI) devices were introduced for hyalinization of air. While the T setpoints remained the same as previous ones, the RH has changed to a broader range, reducing 20% and 10% on the minimum and maximum margins, respectively [1].
Fig. 4.
Pre and post-COVID-19 HVAC operation settings. Summary of [1].
2.3. Comparison on VS energy use prior to and during the coronavirus outbreak
Concerning the rise in fresh airflow rate as well as the load, Zheng et al. [22] compared VS energy use prior to and during the Coronavirus outbreak. The comparison process based on the energy equations is presented in Table 2 . As seen in this table, the increased energy use has been calculated based on the additional fresh air supply recommended by the guidelines as the influencing factor of increased energy consumption. The extra consumption is also correlated to the mass flow and enthalpy of the external airflow as well as the enthalpy of air for pre-heating or moistening [22]. Based on the analysis conducted in Tsinghua University Building Energy Research Centre, it has been proved that in comparison to pre-pandemic time, VS energy use increased by 128% during the COVID-19 outbreak, that calls attention to energy conservation [22].
Table 2.
Calculation of VS energy use prior to and during the Coronavirus outbreak. Summary of [22].
| VS energy use before the COVID-19 outbreak |
VS energy use during the COVID-19 outbreak |
|---|---|
|
= hourly VS load by the equipment = normal period |
= hourly VS load by the equipment = pandemic period |
| VS load before the COVID-19 outbreak |
→ Adding 100% fresh air supply → VS load during the COVID-19 outbreak |
|
= VS load of external airflow = mass flow of external airflow before the COVID-19 outbreak = enthalpy of external airflow = enthalpy of supply air = VS load of return air = mass flow of return air = enthalpy of indoor air = enthalpy of supply air |
= VS load of external airflow = mass flow of external airflow during the COVID-19 outbreak = enthalpy of external airflow = enthalpy of supply air |
|
= VS load before and during the COVID-19 outbreak | |
|
VS energy use during the COVID-19 outbreak = VS energy use during the COVID-19 outbreak = VS energy use before the COVID-19 outbreak | |
Having the guidelines reviewed and the energy impact of the HVAC operation compared before and after the pandemic period, the study represents the methodology of a review analysis of the scientific literature published as a result of the guidelines.
3. Review methodology
According to PRISMA (preferred reporting items for systematic review and meta-analysis) criteria, a systematic review was presented [44]. The aim was to create a representative compilation of current literature concerning the published COVID-19 HVAC-related industry guidelines, clarify gaps, and guide future directions. The comprehensive review framework includes three steps of planning, conducting, and reporting [45], in which each step's output becomes the following step's input [46].
The first step of the review process was to clearly define RQs, each of which targets a different aspect of the topic for the comprehensive evaluation of the subject. Based on the main research problem and determination of the research scope, which is analysing recent information on the energy constraints of operating VS and IAQ provision during and after the pandemic and highlighting the gaps and future directions, four main RQs have been identified in this review. The motivations behind defining each of the questions are presented in Table 3 .
Table 3.
List of the RQs.
| RQ1: What is the publication landscape relating to IAQ, ventilation, energy efficiency, and COVID-19? | |
|---|---|
| Investigated items | Motivation |
|
|
|
RQ2: What building types and occupancy profile have been studied in the context of IAQ, ventilation, energy efficiency, and COVID-19? | |
|
Investigated items |
Motivation |
|
|
|
RQ3: What ventilation types and effective control strategies have been discussed in the context of IAQ, ventilation, energy efficiency, and COVID-19? | |
|
Investigated items |
Motivation |
|
|
|
RQ4: What are the challenges associated with increased energy consumption as a results of maintaining IAQ during and after COVID-19? | |
|
Investigated items |
Motivation |
|
|
A comprehensive repository of metadata of the relevant literature from reliable databases was initially created to secure a representative compilation of current literature related to COVID-19 energy challenges of operating VS and IAQ provision for the review [47]. Other reliable methods, such as (semi)automation of data extraction, can also be employed to decrease the workload for data information aggregation [48]. However, to reduce any risks of ambiguity, incomplete or unseen data aggregation, it was decided to create the paper repository for this review study manually. Out of the top search engines to obtain academic literature's richest metadata, four peer-reviewed databases including, IEEE Xplore, Science Direct, Scopus, and Google Scholar, were chosen as the sources of data extraction in the initial search [47]. Other databases, such as Dimensions and Web of Science, were also used; however, due to overlapping in publications between Elsevier and several unavailabilities of full access, these databases were finally removed from the list of databases. The study looked for the keywords within all fields of materials, including article titles, abstracts, keywords, and source titles. A timeframe from January 2020 to July 2022 has been taken into consideration while creating the repository to ensure the most recent relevant data. The initial search result showed 1681 articles numbered down using a chosen eligibility criteria. The selected papers were then inserted to the Mendeley reference manager. Table 4 lists each database's search terms, area, and results.
Table 4.
Search terms in databases.
| Database | Type | Search Area | Search Terms | Search results | URL |
|---|---|---|---|---|---|
| IEEE Explore | Digital library | All Fields | “COVID-19″ AND “ventilation” AND “energy” OR “indoor air quality" | 604 | http://ieeexplore.ieee.org/Xplore/home.jsp |
| Science Direct - Elsevier | Digital library | All Fields | “indoor air quality” AND “COVID-19″ AND “energy” AND “ventilation" | 356 | http://www.sciencedirect.com/ |
| Scopus | Search engine | All Fields | “indoor air quality” AND “COVID-19″ AND “energy” AND “ventilation" | 601 | http://www.scopus.com/ |
| Google Scholar | Search engine | All Fields | “energy” AND “COVID-19 ventilation" | 120 | https://scholar.google.com/ |
The eligibility criteria for selecting relevant literature include several inclusion and exclusion factors to refine search results and reduce the papers to the most relevant ones aligned with the scope of this research [46]. Table 5 lists the eligibility criteria used in this systematic review.
Table 5.
Summary of the eligibility criteria.
| Inclusion criteria | Exclusion criteria | ||
|---|---|---|---|
| 1 | Publications that provide insights into the HVAC systems' energy efficiency considering the COVID-19 pandemic. | 1 | Duplicate publications. |
| 2 | Publications that consider “indoor” air quality data and virus transmission. | 2 | Publications that are focused on “outdoor” air quality data. |
| 3 | Publications that shed light on the ventilation control strategies in the prevention of infection risks and virus transmission. | 3 | Non-English language publications. |
The initial search results excluded duplicate papers based on PRISMA guidelines, numbering 658 articles. Following the eligibility criteria, 560 papers were excluded, and the remaining 98 papers were considered for full-text review. Based on clear association with the scope of the review and exclusion of any non-qualified publications based on eligibility criteria, 61 publications have been found eligible for further analysis in this study. The details of each RQs were investigated in all 61 publications. Using Microsoft Excel, the final selected publications were compiled into spreadsheets to efficiently manage the data related to the answer of each RQs. Fig. 5 illustrates the PRISMA diagram of this review analysis.
Fig. 5.
The PRISMA diagram for the systematic review analysis.
4. Results and discussion
By comprehensively reviewing the current literature on IAQ, ventilation, energy efficiency, and COVID-19, it was possible to evaluate the level of research interest in this area and outline essential research sources. Most of the publications on the COVID-19 epidemic were written quickly due to the high demand for more information to advance research and help humanity, speedy online publishing following approval and expedited review, and the journals' special supplements [49]. Thus, it was crucial to investigate the research area's nature and its main driving elements. This section details the results and provides a discussion over the review analysis and provides answers to the RQs discussed recently based on the findings of this process.
4.1. RQ1: what is the publication landscape relating to IAQ, ventilation, energy efficiency, and COVID-19?
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•
Industrial guidelines and scientific publication trends
The Coronavirus disease was deemed a Public Health Emergency of International Concern on January 30, 2020, and a pandemic on 11 March 2020 by the World Health Organization (WHO) [50]. The escalating outbreak has prompted a flurry of research activity on the coronavirus. Therefore, through examining the publication date of both scientific and industrial publications, it was possible to determine how the subject has changed over time.
Fig. 6 illustrates the month-on-month number of publications by guidelines and scientific papers in this area, from the first guideline document appearing in January 2020 to the single recorded paper published when this review was conducted in June 2022. Overall, while the number of guidelines is decreasing, the overall global interest in this topic is growing every year, considering the rise in 8 papers published in 2020 compared to 36 documents in 2021. After institutions published the COVID-19 ventilation countermeasures, particularly in April and August 2020, the scientific publication trend started to increase from September 2020 by validating the application of the new HAVC settings in buildings. Given that only papers published until June 2022 have been selected for this review, the 2022 figure still needs to be completed and shows only 17 scientific papers published this year. The main spike in the figure indicates an increase to 8 scientific papers in June 2021, suggesting that this area began to gain interest.
Fig. 6.
-
•Top-performing countries and institutions
Fig. 7 illustrates the top-performing institutions in the top 8 countries regarding the number of publications on this topic. Based on this figure, the widespread distribution of publications represents an interest in this area globally, corresponding to the hypothesis that it is a significant evolving area. However, Italy appears as a top-publishing country on this topic, with 11 papers making up 18.0% of all publications. In essence, Italy was the first European nation that experienced the COVID-19 outbreak, and the repercussions on the populace were profound [51]. According to Ref. [24], in Italy, there was a slow implementation of the appropriate precautionary measures, health and IAQ enhancement of traditional structures [24]. Thus, Italy has increased its research contribution to the Covid-19 pandemic due to its initial engagement in this area [51]. After Italy, USA and China have significant contributions in publications with 8 papers. It should be noted that countries and institutions with less than 2 published papers have yet to be illustrated in this figure.
Fig. 7.
Top-performing countries and institutions.
Out of 6 published papers from the most contributing institution in Italy, 3 have mainly focused on optimizing HVAC operations for balancing energy use and IAQ improvements. Franco et al. [21] have examined the optimal HVAC system control aiming to obtain improved level of health and energy efficiency. Up to 30% energy-saving and 25% increased comfort level were obtained through the proposed multi-objective optimization. In another research, Franco et al. [52] suggested a method for broadening the energy perspective to IAQ using occupant-centric control strategies and HVAC supervisory control strategies. Using experimental analysis and real-time knowledge of occupation for maintaining IAQ levels and energy efficiency, Franco and Leccese [53] analysed the link between CCO2 and the status of occupancy in different classrooms of the University of Pisa. The rest of the 3 papers have mainly concentrated on applying information and communication technologies (ICT) and internet of things (IoT) technologies to increase the efficiency of the HVAC systems and IAQ in the COVID-19 context. For instance, Anastasi et al. [54] investigated IAQ and energy use of smart buildings considering the occupancy profile and building management system. With the aim of addressing the conflicting objectives of optimizing energy use and IAQ, Franco [55] investigated application of ICT for HVAC system operation. Testi et al. [9] proposed a novel building simulation methodology using dynamic modelling, aggregating consumption metrics, pre-management of energy system operation, reducing non-renewables, and a post-management of avoiding predicting mistakes through VS flowrate modifications.
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•
Type of results
Comparison of papers presenting qualitative or quantitative results is another interesting metric for the systematic review of energy efficient ventilation and IAQ in COVID-19. Fig. 8 illustrates the number of publications by type of results. Based on this figure, there is an apparent sway toward quantitative outputs using first-hand data, by 67.2% of papers.
Fig. 8.
Number of publications by type of results.
Less focus has been placed on meanings and experiences related to Coronavirus transmission mitigation for various groups of people [56]. Since quality standards of qualitative papers are highly correlated with how the research questions, proposed methodology, and primary objectives have been defined, conducting high-quality qualitative research has been more challenging [57], especially with the swift evolution of the Coronavirus. While quantitative research is well suited to compile numerical data to test causal relationships among different variables and to develop a statistical picture of energy-related issues of ventilation and IAQ, in-depth lessons of qualitative studies inform the local, experiential knowledge as complementary to the existing information [58]. The reason behind less qualitative research in the COVID-19 context is due to two main constraints of “time” and “physical distancing,” according to Tremblay et al. [59]. Also, the quality of qualitative research is influenced by the research framework, research plan, and the topic of interest, which can significantly affect the proportion of this research type [59]. Qualitative research's role in exploring the policies and practices changes during the pandemic, their adaptation, and implementation in new circumstances is also inevitable during and after the pandemic [60]. Table 6 illustrates the breakdown of the number of papers by results type per building type. It is essential to mention that more than one-third of the quantitative papers have mainly focused on educational buildings as a case study. This is due to the extended stay of students and teachers, a rethought for a new “in-presence” living [14], and the high demand for quick response to the COVID-19 pandemic in such a high crowding setting [9]. This is also further discussed in section 4.2, where building types and occupancy profiles of different case studies are investigated.
Table 6.
-
•Classification of document type by research type
| Building types | Quantitative | Qualitative | Both | |
| Laboratory condition | [61] | ![]() |
||
| High-rise buildings | [25] | |||
| Hospitals | [62,63] | |||
| Residential buildings | [[64], [65], [66], [67], [68], [69], [70]] | [39,71] | ||
| Offices and commercial buildings | [[72], [73], [74], [75], [76], [77]] | |||
| Educational buildings | [6,8,9,13,14,21,[52], [53], [54],[78], [79], [80], [81], [82], [83]] | [84] | [85,86] | |
| Various building types | [41,[87], [88], [89]] | [43], | [90], | |
| Public buildings | [[91], [92], [93]] | [94] | ||
| Not specified | [95,96] | [18,23,24,[97], [98], [99], [100], [101], [102]], |
According to Wieringa et al. [103], engineering papers can be classified by type of research based on the categorizations and evaluation criteria presented in Fig. 9 . This classification is an indicator of the maturity of the research.
Fig. 9.
Classification of type of research.
Fig. 10 shows a comparison of the document type by research type. Looking at the results in more depth, there is a mixture of document types among the publications. However, almost three-quarters of publications are sourced from journal articles constituting the most common document type. This implies that research development has been mainly made on in-depth journal articles rather than short research papers for conferences. In essence, to quickly publish studies connected to the pandemic [104], funding organizations created additional grant sources, and journals sped up the review procedures [105]. Also, numerous face-to-face activities, such as seminars and conferences, were postponed, held online, or put on hold during the outbreak [106]. Thus, more contributions from other document types are needed in IAQ, COVID-19 ventilation, and energy efficiency. This classification includes evaluation, solution, and philosophical papers; however, most papers in this category are evaluation-type research, implementing a technique already in practice to address management of IAQ and VS energy use under the COVID-19 context. This proportion is supported by recording both causal properties studied empirically by case studies, field studies, field experiments, and survey publications and logical properties studied by conceptual means, such as mathematics or logic. Review and conference publications represent the same research type variation, including the evaluation and philosophical research. Also, articles contribute more evaluation research with 33 publications, and solution research type as the second most common type of research with 9 published papers. Philosophical research is the third most common type of research supported by the lower number of qualitative-type publications compared to quantitative ones. The number of published philosophical research in review papers is 5, whereas there are 3 philosophical journal articles. There is only 1 evaluation type research published within the review category. Conferences contribute with 3 evaluation and 2 philosophical research type papers. Solution was the only type of research that originated from the theses. Editorial and Note contribute 2 and 1 opinion type research, respectively. Books concerning IAQ, COVID-19 ventilation, and energy efficiency have yet to be published. This shortage implies that this area of research has not been evolved by books, authors' opinions, or any lessons learned by authors’ personal experiences.
Fig. 10.
-
•Comparison of contribution type by research classification
This section's primary focus is to compare each publication's main contribution in response to the barriers of reducing energy consumption and improving IAQ during pandemic periods. This analysis represents the maturity of the topic through classification of the publication outputs and outlining the influential existing themes and interest [46].
As a qualitative approach, “keywording” was used to cluster the contribution types [107]. According to this method, the main keywords representing the research contribution were chosen from the abstracts, introduction, and conclusions. Through aggregation of the keywords, the results were simplified to create better visibility of trends and promote a comprehensive understanding of the research of this particular topic area [50]. Fig. 11 summarizes different research contributions.
Fig. 11.
Classification of type of contribution. Summary of [46].
Fig. 12 depicts the distribution of publications by type of research and type of contribution. Overall, the most common output in this area is the methodology, and with 32 publications, the role of evaluation-type research is inevitable in maturing and evolving research output in this contribution type. Several research examples also propose new solutions with their intended use, which have contributed to research Methodology outputs. The rest of the evaluation type research belongs to Model, Platform, and Architecture types of contributions with 2 and 1 publications, respectively. Solution is the following most common type of research that is significantly published in Methodology-based contributions with 9 papers and Model and Platform-based contributions with only one publication. Philosophical is the subsequent common research type with the overall 10 published papers, mainly resulting in 8 and 2 Framework and Architecture-based types of contribution, respectively. The Opinion type research papers contributed only Architecture and Framework with 2 and 1 published papers, respectively. It should be noted that due to the lack of publications with Experience and Validation research types, no contributions have been made within this research type. Therefore, the future research direction could be more validation and experience-based research being developed to implement the already-in-hand theories into Model, Platform, Tool, Process, and Theory-based research.
Fig. 12.
Distribution of publications by type of research and type of contribution.
4.2. RQ2: what building types and occupancy profile have been studied in the context of IAQ, ventilation, energy efficiency, and COVID-19?
The answer to this question contributes to gaining more accurate information regarding different building occupancy densities and profiles.
Fig. 13 lists the building types used as a case study in the publications. Within this general classification, educational buildings include classrooms in schools or university buildings. Residential buildings account for single houses, terraced houses, apartments, and public social dwellings. Public buildings include public transportation (train stations and airport terminal), temples (churches and mosques), gyms, and restaurants. Any typical commercial building, shopping mall, and office building fall into the office and commercial building categorization. There are also a few research which protects laboratory condition. It is also important to note that some papers presented comparison research between various types of buildings and have not merely focused on one specific environment, which has created the category of various building types.
Fig. 13.
Number of publications by building type.
Based on Fig. 13, the COVID-19 energy challenges of operating the VS have been significantly investigated in educational buildings by nearly one-third (29.5%) of the publications. Approximately one-fifth (21.3%) of the publications have not mentioned or used any specific building type in their research. Early in the emergency, practically all educational facilities were closed due to the pandemic danger brought on by the high population of asymptomatic young people. Schools sometimes have high crowding levels, given the extended stay of students and teachers. Due to increased hygienic-sanitary regulations, the outdoor fresh air supply will become more energy-intensive [9]. In order to prevent a long-term adverse effect on pupils, schools and educational settings should be quickly reopened. Additionally, additional work has to be done to fulfil the criteria for air quality while using less energy [9]. After the COVID-19 epidemic, educational facilities also needed rethought for a new “in-presence” living [14]. This problem necessitates innovative energy management to address serious health and weather hazards [9].
Office and commercial building types and residential buildings provide quite the same number of publications constituting 13.1% and 11.5% of all papers, respectively. By definition, office buildings run on centralized, enclosed temperature control and VS with high occupancy [1]. Airborne contamination has become a severe issue due to the increasing use of MV and the high occupancy patterns in offices [75]. Considering the introduction of technologies like WELL and Fitwel, targeting enhancing the inhabitants' well-being, airborne transmission has become more significant [108]. Scientists, environmentalists, and authorities have raised concerns regarding exceeding energy use due to the new pandemic HVAC operational countermeasures being restricted to office buildings/telework and third-party logistics [109].
The COVID-19 outbreak has also led to novel house occupancy patterns, the effects of which on IAQ and energy usage are not fully understood [65]. Actions typically carried out in schools [110], offices [111], or outdoors [112], were focused within the home during the lockdown since households were continually using common space [64]. This has resulted in the deterioration of IAQ due to working from home during imposed lockdowns. Changes in occupancy can also directly affect building energy use, making them a useful tool for predicting of energy consumption in the future [113]. Due to the mentioned issues, numerous articles have examined the effects of home-office lifestyles on the power consumption in residential structures. This becomes more significant considering the fact that even if the COVID-19 health crisis is resolved, energy expenditures for households related to changes in working habits will be predicted to continue rising [114].
There are only 2 papers that have focused on hospitals, constituting 3.3% of all papers. From the remaining building types, 9.8% and 8.2% of the papers conducted comparison research between various types of buildings and public buildings, respectively. Finally, at an equal percentage of 1.6%, high-rise buildings and laboratory conditions fall into the least frequent building type within the repository.
The energy used for building air conditioning may be significantly influenced by occupancy schedules and density. Accurate occupancy data is of major significance to measuring the active influence of building occupants over energy consumption. However, the challenge is to identify every sources of energy consumption and its corresponding component considering how ambiguous the behaviour of the occupants is. The interior environment is impacted by this uncertain behaviour, as a significant parameter within the wide fluctuations in energy use. Additionally, occupant behaviour is affected by interior circumstances, affecting the overall energy consumption. By providing the ASHRAE 62.1 defined airflow rate depending on correct occupancy, considerable consumption reductions related to VS may be possible. A similar approach, however, cannot be applicable at the moment due to that the bare minimum of airflow is not adequate to stop the Coronavirus transmission in enclosed places. Thus, to implement a demand-based operational strategy, it is crucial to connect the building HVAC consumption pattern to the occupants' consumption habits. However, if precise data on this interaction is poor or non-existent, this cannot be accomplished [101].
Fig. 14 classifies different building types studied by the papers based on their maximum number of occupants (#) or occupancy density (person/m2). According to this classification, high-rise, office and commercial, public, hospital, and educational buildings have been mainly categorized in very high-density (VHD) and high-density (HD) indoor environments where the maximum number of occupants are between 3500 to 500 and 500 to 50, respectively; mid-density (MD) where between 50 and 10, and low-density (LD) in residential buildings where the maximum number of occupants are between 10 and 0.
Fig. 14.
Classification of buildings by size and occupancy density. Very high-density (VHD)- High-density (HD)- Mid-density (MD)- Low-density (LD)- maximum number of occupants (#)- occupancy density (person/m2).
The dynamic relationship among occupants and building systems needs to be accurately reflected by an oversimplified understanding of occupancy. However, the majority of the occupancy-related variable air volume control has been restricted to energy-saving evaluation, and enough evidence does not exist to support its effects on indoor environmental quality (IEQ), particularly using air handling unit (AHU) for T and RH management. The related savings can be attributable to providing bare minimal airflow [101]. Therefore, accurate building occupancy density and schedule information is significant in building air conditioning energy usage.
4.3. RQ3: what ventilation types and effective control strategies have been discussed in the context of IAQ, ventilation, energy efficiency, and COVID-19?
Overall, three general ventilation modes of natural, mechanical, and hybrid (natural and mechanical) are utilized to ventilate a building [115]. The answer to this question allows a comparison of papers using NV or MV systems or hybrid ventilation (HV) in their research. Fig. 15 presents the number of publications by type of ventilation. Based on this figure, there is an apparent sway towards MV systems in research by the 65.6% of papers. The remaining 34.4% of publications offer HV and NV, with 19.7% and 14.8% of published papers, respectively.
Fig. 15.
-
•Comparison of type of building by type of ventilation
The results of this analysis allow comparison of papers using each of the three ventilation modes in their research. While NV is low-maintenance and energy-free, it increases outside pollutants concentration inside the building and results in occupants’ discomfort, especially during the winter time [116]. Occupants may also need to take into account noise pollution and low air quality outside the buildings along with the security considerations especially in cities and crowded areas [117]. Filters are frequently included in MV systems, which may remove or dilute particulates from external air [118]. Table 7 illustrates the comparison of the type of building by type of ventilation in the assessed papers within the repository.
Table 7.
Comparison of type of buildings by type of ventilation.
| Building types | Mechanical ventilation | Natural Ventilation | Hybrid ventilation | |
| Laboratory condition | [61] | ![]() |
||
| High-rise buildings | [25] | |||
| Hospitals | [62,63] | |||
| Not specified | [8,18,23,24,[95], [96], [97], [98], [99], [100], [101],119] | [102] | ||
| Public buildings | [55,[91], [92], [93]] | [94] | ||
| Various building types | [41,43,87,88] | [89,90] | ||
| Educational buildings | [6,9,13,14,21,52,[78], [79], [80],82,85] | [81,83,84,86] | [8,53,54] | |
| Offices and commercial buildings | [73,76,77] [71] |
[74,75] | [39,72] | |
| Residential buildings | [68] | [64,69,70] | [[65], [66], [67]] |
Overall, all three ventilation types have been studied in educational, office and commercial, and residential categories, and MV is dominantly studied by these three building types. There are 4 papers concentrating on hospitals, high-rise buildings, and laboratory conditions that have merely investigated MV. The utilization of such systems has also been more dominant in very high-occupancy indoor environments such as educational buildings, public buildings, and office and commercial buildings where the number of occupants is high, and occupants are often together for more extended periods, resulting in increased infection risk probability. According to Ref. [117], the educational building sector in developed countries necessitates installing MV, considering that the provision of IAQ and IEQ rely mainly on outdoor climatic conditions when using NV. This highlights the high prevalence of indoor pollutant sources when using NV and the fact that NV is not adequate to provide fresh air supply to meet COVID-19 ventilation criteria in high-occupancy indoor environments.
NV is not studied in public and various buildings and by the group of papers that have not specified any building types in their research. While there are 12 papers focusing on MV by the not specified group, only 1 published paper targets HV. This could be due to some challenges related to the operation and control of HV. According to Ledo Gomis et al. [120], HV systems are significantly associated with outdoor weather conditions and air quality to serve adequate airflow to the building. These systems also require effectively harmonizing NV with MV to maintain a standard level of IAQ and reduce energy consumption through correct window opening schedules and MV setpoint changes [120]. Within various and public building types, the splits between the studied VS are quite the same, except for various building types representing 2 publications focusing on HV. While MV is more commonly studied in educational, office, and commercial buildings with 11 and 4 published papers, respectively, NV and HV modes are more prevalent in residential buildings with an overall 6 published papers. The even number of papers investigating NV and HV proves the significance of considering both two potential ventilation modes in residential buildings [68]. Studies has shown that homes, in which individuals spend a significant period, are mostly exposed to aerosol contaminants [121]. Considering that householders sometimes lack the funds to equip buildings with MV systems, particularly in older properties, housing IAQ enhancements through MV systems are frequently given less consideration [122].
The COVID-19 pandemic mitigation measures encourage retrofitting existing structures and switching to innovative approaches that prioritize well-being above consumption. This can impose excessive consumptions due to higher ventilation rates and energy costs [1], particularly in large-scale environments such as high-rise buildings. Besides, due to the increased infection probability, the Coronavirus outbreak led to the abandonment of high-rise structures with high occupancy density [25]. To reduce HVAC-related energy use and infection risk, papers that have considered high-rise public and various building types have deeply investigated the operation of the MV systems.
Investigating the airflow pattern by controlling an MV system is one of the main factors in effectively reducing the airborne particles in hospitals and isolation rooms [123]. This investigation enables the development of novel ventilation strategies for use in real world applications through environmentally-intelligent controller. Also, investigating the early implementation of COVID-19 infection control interventions through MV systems in hospitals lead to financial savings by decreased clinical-related infections [62].
Fig. 16 demonstrates the classification of papers by their proposed ventilation control strategies, building type, ventilation type, occupancy density, and location and Table 8 shows the breakdown of these ventilation control strategies and their energy-saving potentials. According to this classification.
-
•
The most frequent ventilation control strategies mentioned by the papers relate to the application, improvement, and efficiency optimization of HVAC auxiliary equipment. According to Zheng et al. [18], HVAC auxiliary equipment are mostly efficient strategies once there is no possibility of boosting fresh air supply, and the indoor transmission risk is more probable. Therefore, the correct implementation of such measures is effective both from IAQ and energy-efficiency perspectives [18]. From this category, the utilization of HEPA filters, as well as the UVGI air purification technology have been suggested by several publications.
-
•
Source control occupant-focused design of the VS based on occupant density, intermittent occupancy schedule, and behaviour-based, infection risk-energy consumption modelling is the second most prominent ventilation solution mentioned by the papers.
-
•
Improved NV strategies and the application of novel ventilation operation strategies using ICT, IoT, and artificial intelligence (AI) technologies for monitoring IAQ and IEQ conditions have also been highlighted by the papers with the same significance level.
-
•
Application of mobile air purifiers and personalized ventilation, DCV an example of occupant-cantered control techniques and data fusion, synthesizing high-resolution IEQ and occupant tracking data have been commonly mentioned by several publications.
Fig. 16.
Classification of papers by their proposed ventilation control strategies, building type, ventilation type, occupancy density and location.
Table 8.
Classification of papers by their proposed ventilation control strategies and their energy saving potentials.
| Category | Ventilation control strategy | Energy saving potentials | Reference |
|---|---|---|---|
| HVAC auxiliary equipment | Application of a pre-fabricated system “window machine” linked to soffit-integrated decentralized regenerative VSs | Up to 77% reduction of heating energy | [66] |
| Coupling thermal recovery through a heat exchanger plus thermodynamic recovery using a heat pump | 60% and 72% reduction of energy use | [124] | |
| Application of an autonomous high-efficiency AHU | 31% and 46% energy savings using high-efficiency AHU and a heat recuperator, respectively | [13] | |
| Coupling novel membrane-assisted radiant cooling systems with NV | 10–45% reduction of energy use | [72] | |
| Application of mechanical ventilation with heat recovery systems and NV strategies with one-sided openings | 40% reduction of heating demand | [65] | |
| Application of an automatic environmental-controlled fan | 31.4% energy saving | [67] | |
| Application of a column attached ventilation | 21.6% energy saving | [73] | |
| Application of AHU equipped with flat plate heat exchangers sensible heat recovery | NDa | [14] | |
| Application of mobilized air purifier techniques, xenon pulsed ultraviolet (XP-UV) devices, with negative pressure | ND | [62] | |
| Additional introduction of MV with high-efficiency filters | ND | [83] | |
| Application of a wall-integrated decentralized VS with heat recovery | ND | [61] | |
| Application of liquid desiccant which is known as a purifier | ND | [43] | |
| Combining existing ventilation supplemented with air cleaning + mobile professional high-quality air-conditioning units | ND | [92] | |
| Application of HEPA filters as well as other air purifiers, such as ultraviolet purifiers or photocatalytic oxidation + application of personalized ventilation, desk and ceiling fans, air ionization, and upper room UVGI | ND | [90] | |
| Source control occupant focused design | Using a numeric method based on occupants' behaviour and transmission risk-energy use | 13.7% and 45.1% reduction of energy use on weekdays and weekends, respectively | [88] |
| Optimum occupant distribution patterns | 32% reduction of energy use | [78] | |
| Smart ventilation mode linked to the occupancy and infection risk calculation | 11.7% energy saving | [91] | |
| Source control of intermittent occupancy | ND | [6] | |
| Simultaneous interaction analysis focusing on occupants behaviour, energy use and comfort components | ND | [84] | |
| Occupant-based design + application of photovoltaics installations to power ventilation rates | ND | [85] | |
| Leaving windows open and minimizing number of occupants based on CCO2 monitoring | ND | [93] | |
| Improved natural ventilation strategies | Application of passive cooling design strategies, including NV, appropriate shading devices, and fenestration designs | 53% reduction of cooling energy use | [69] |
| Combining dilution ventilation and ventilative cooling | Around 40% reduction of energy use | [25] | |
| Proper natural aeration strategy based on different air change rates, T and window opening modes + installation of properly controlled MV with heat recovery | Up to 18% energy saving | [64] | |
| Application of outdoor airflow system in winter and automated NV operation in summer | ND | [70] | |
| Application of NV without any space conditioning | ND | [75] | |
| ICT, IoT and AI technologies | Application of a new VS operation through AI based on dynamic IEQ management | 63.65% reduction of energy use | [63] |
| Transitions to a mixed (home and office) working habits and activity-based office settings as well as smart indoor services operations | Up to 50% reduction of energy use | [71] | |
| Engaging occupants through ICT + application of DCV flowrate linked to the occupancy density | 15–30% reduction of energy use | [55] | |
| Application of advanced ICT and IoT technologies for monitoring environmental conditions indoors | ND | [54] | |
| DCV | Application of a new DCV inspired by the concept of intermittent ventilation | Up to 88% energy efficiency | [80] |
| Application of a DCV based on occupancy, and provision of improvements for heat pumps, chiller supply water T, and heat recovery control | 44% energy saving (33% of which is by the application of DCV) | [52] | |
| Application of DCV with absolute air filtration + Application of more window airing and, consequently, NV solutions | 10–40% energy saving | [79] | |
| Application of a DCV based on coupling real-time CCO2 and occupancy data | ND | [53] | |
| Data fusion | Application of dynamic setpoints, combining IEQ and IAQ, as well as application of irregular occupancy control | Up to 30% energy saving | [21] |
| Indoor dynamic modelling, aggregating consumption metrics, pre-management of energy system operation, reducing non-renewables, and a post-management of avoidingpredictingmistakes through VS flowrate modifications | ND | [9] | |
| Application of data fusion combined with providing high-resolution data for occupancy and IEQ | ND | [74] | |
| Application of a set of dynamical models connected with weather predictions and HVAC operation setpoints as well as physics-based material balances with ventilation phenomenological airflow controls | ND | [87] | |
| Pollutant concentration monitoring | CCO2 monitoring based on NV | ND | [82] |
| CCO2 monitoring | ND | [94] | |
| Stay time modification | Modifying teachings periods from winter to summer seasons using the Monte Carlo approach and the Weibull method for identifying energy usage | ND | [81] |
| Covering face with a mask and reducing the staying duration to half | ND | [89] |
ND= No data.
The rest of the papers have focused on pollutant concentration monitoring, indoor stay time modification, and other strategies, as shown in Table 8.
4.4. RQ4: what are the challenges associated with increased energy consumption as a results of maintaining IAQ during and after COVID-19?
The answer to this question identifies the primary negative aspects of IAQ, ventilation, energy efficiency, and COVID-19, highlighting existing solutions' limitations. Fig. 17 depicts the distribution of challenges associated with this subject area. Analysing this figure, it is clear that “Increased fresh air supply” is the most significant obstacle found by 20 papers within the repository. Given that it is necessary to purify, warm up or chill, dry, or moisten the fresh outside air before flushing it into the space, the HVAC heating and cooling load is significantly raised. Also, the increased electricity consumption to run ventilation fans for more fresh air supply substantially affects the final energy use [18].
Fig. 17.
Number of publications by frequency of challenges.
The following most common difficulties, in 14 publications, is the “Low IAQ & IEQ.” “Infectious diseases transmission & increased occupants' health risk” and “Occupancy density & schedule limitation” are the subsequent prominent limitations with almost the same occurrences of 9 and 7 in publications, respectively. With the same split, 5 publications outlined the challenges of “HVAC design, modelling, installation, operation & maintenance issues, and cost” and “Limited ventilation capacity.” Similarly, “Seasonal efficiency variation,” “Increased carbon emissions,” and “Occupants’ behaviour” were discussed by 4 publications within the repository. Other significant challenges that can increase the conflicts between reducing the energy consumption of VS and improving IAQ during the COVID-19 pandemic are “Regulation, design & standard changes,” “Low advanced HVAC auxiliary equipment,” “Unknown efficient methodologies & Uncontrollable characteristics of the aerosols.” Each has occurred 3 times by 9 publications. “Geometrical, physical, urban & building characteristics” and “Energy performance gap between operational & initial costs” are the least frequent obstacles mentioned only by one paper.
The causes of each challenge can be classified into 8 main categories, as shown in Fig. 18 . However, some of the reasons overlap the others in terms of their group categories. According to this classification, most of the limitations arise from “Insufficient ventilation relating to low IAQ and IEQ levels.” A shift from NV to MV for additional ventilation rate and the wrong mode of ventilation are the most significant causes mentioned by this category. “New occupancy patterns” is the second most common group of causes associated with frequent limitations. From this group, changes in home occupancy and remote work during the COVID-19 outbreak have been discussed by several papers within the repository. Relevant examples of some frequent causes in this category are the performance shift between predicted energy performance and the real system operation and the lack of supervisory control on HVAC systems operation. Reasons relating to “Indoor airborne viral transmission” play essential roles in creating energy efficiency limitations of the VS. From this category, lack of effective strategies to assess the airborne virus concentration and distribution is one of the prominent causes mentioned by different publications. Other reasons, such as air leakages relating to the wrong “Building design,” have also been discussed in papers. “Weather condition,” “New regulations and guidelines,” and “Financial issues” have also been elaborated per each of the limitations.
Fig. 18.
Classification of challenges and the related causes mentioned by the papers.
This study investigated the publication landscape on the energy challenges of providing standard limits of IAQ via ventilation during the Coronavirus outbreak. A critical systematic review of the publications concentrating on ventilation paradigm as well as excessive energy consumption to ensure IAQ during and after the pandemic has been conducted to define the key results, gaps, barriers, and future direction of this topic. According to these gaps, future research should consider not only increased energy usage due to recommended higher airflow rate supply but also different ventilation operation methods related to source control measures as well as occupancy density in other building types. The maturity of the research should also be developed by different research types with various contributions, as shown in Fig. 19 .
Fig. 19.
Gaps and future directions.
To sum up, the excessive energy use by VS during the pandemic sounds the alarm on energy conservation. This trend assumes to be continued after the pandemic period, as proved by previous studies, including Cortiços and Duarte [1], who calculated a 21.72% rise in HVAC energy consumption of US high-rise office buildings in mixed-humid locations, and Cortiços and Duarte [39] who estimated increased HVAC energy use and CO2 emissions as a result of implementing the COVID-19 guidelines in Europe's top five economies. Therefore, Innovative design and operation methods for building VS that improve energy efficiency and enable greater resiliency, health, and safety for occupants, particularly during pandemic occurrences, need to be addressed. This calls for considering more resilient solutions that can make it more sustainable and profitable.
It is also important to note that, within this systematic review, the provision of relevant data has been limited to a period from January 2020 to July 2022, and the papers beyond this period have yet to be considered. This timeframe was also limited due to the allocation of time to conduct the review analysis. Thus, the limitations are related to the period, the research trend, and the eligibility criteria for selecting relevant data that ultimately determined the categories and quantities of the literature.
Additionally, due to the topical nature of COVID-19 studies, this might affect the comprehensiveness and recency of the review and how the research on the energy efficiency of the VS has been developed recently. However, this review analysis's outcomes reveal opportunities for future studies on the same topic that have addressed the limited timeframe and publications. This includes research studies that consider more selection criteria and the inclusion of grey literature sources, industrial reports, and white papers to complement the findings of this study.
5. Conclusion
This study critically reviewed the challenges related to COVID-19 transmission risk mitigation through VS and its associated energy use. A systematic review analysis of the existing literature was conducted to define this subject area's research gaps and future direction. The method provides a comprehensive standardized framework ensuring a reliable and organized review process with minimized bias.
The findings of this review are of great significance in identifying the energy constraints of operating VS and IAQ provisions through critiques and comparisons during and after the pandemic. The review results also contribute to disseminating issues and innovative VS advancements that will aid in the sustainability and resiliency of the buildings and greenhouse gas reductions through energy-efficient strategies during unprecedented periods. With today's energy crisis, if the increased share of fossil fuel used by building services and technologies and the associated CO2 emissions are not considered, there will be significant negative impacts on the environment, public health, and the economy. These impacts will become more severe during unforeseen situations such as pandemic periods. Therefore, learning from the past will help adopt tested energy-efficient approaches in buildings and the provision of resiliency for the design and operation of the VS during and after the pandemic. This targets industry and policymakers regarding regulation, standards, and applications considering cost, energy, and emission reductions of the correct design and operation of the VS to achieve sustainable development goals. In essence, building industries are encouraged to invest in developing intelligent technologies for future predictions and monitoring, considering the energy efficiency of the VS.
With the Covid-19 ventilation countermeasures published by industry professionals, the review findings highlight that further research is necessary to validate the proposed approaches, particularly in highly-crowded interior settings.
Additionally, new home occupancy patterns have increased the importance of residential structures' energy usage to estimate future potential energy efficiencies. Since correct information on occupancy and occupant behaviour may result in significant energy savings for air-conditioning, occupancy schedules, density, and the proactive impact of inhabitants on energy consumption should be prioritized.
Also, addressing low IAQ and IEQ due to insufficient ventilation increases energy use to maintain IAQ. Thus, application and efficiency optimization of HVAC auxiliary equipment, such as HEPA filters and UVGI technologies, have been commonly recommended to meet COVID-19 ventilation criteria in high-occupancy indoor environments effectively.
According to the findings of this review, future research should be conducted based on different types of research and contributions with novel methodologies and approaches toward addressing the mentioned challenges even after the resolution of the Coronavirus outbreak. This will enable building managers, industry professionals, and academics to learn from the past and prepare for any future disasters to guarantee the resiliency of the buildings through tested and informed decisions. Also, effective ventilation control strategies should be assessed in various indoor settings with different occupancy profiles. A paradigm shift from space-based design to the occupant-based design of the HVAC systems is required to balance between the conflicting goals of minimizing energy use and maximizing IAQ standards through the effective operation of the VS. Lastly, due to some limitations related to the publication timeline and the eligibility criteria, the outcome of this review provides opportunities for more comprehensive, up-to-date future studies on the energy efficiency of the VS and IAQ provision during the extreme conditions.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This research was part-funded by Science Foundation Ireland (SFI) through MaREI, the SFI Research Centre for Energy, Climate, and Marine and specially the Centre for Doctoral Training in Energy Resilience and the Built Environment (ERBE) (grant no: 12/RC/2302_P2), with supporting funding obtained from UK Engineering and Physical Sciences Research Council (EPSRC) (grant EP/S021671/1). The authors would also like to thank the journals and companies that permitted the use of Fig. 1, Fig. 4, Fig. 11 and Table 2.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.rser.2023.113356.
Appendix A. Supplementary data
The following are the Supplementary data to this article.
Data availability
No data was used for the research described in the article.
References
- 1.Cortiços N.D., Duarte C.C. COVID-19: the impact in US high-rise office buildings energy efficiency. Energy Build. 2021;249 doi: 10.1016/j.enbuild.2021.111180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Luo H., Zhong L. Ultraviolet germicidal irradiation (UVGI) for in-duct airborne bioaerosol disinfection: review and analysis of design factors. Build Environ. 2021;197 doi: 10.1016/j.buildenv.2021.107852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Glasgow U. vol. 106. Glasgow Caledonian University; 2020. pp. 637–638. (Airborne or droplet - is it possible to say? J Hosp Infect). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Morawska L., Cao J. Airborne transmission of SARS-CoV-2: the world should face the reality. Environ Int. 2020;139 doi: 10.1016/j.envint.2020.105730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lewis D. Is the coronavirus airborne? experts can't agree. Nature. 2020;580:175. doi: 10.1038/d41586-020-00974-w. 175. [DOI] [PubMed] [Google Scholar]
- 6.Melikov A.K., Ai Z.T., Markov D.G. Intermittent occupancy combined with ventilation: an efficient strategy for the reduction of airborne transmission indoors. Sci Total Environ. 2020:744. doi: 10.1016/j.scitotenv.2020.140908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Poirier B., Guyot G., Woloszyn M., Geoffroy H., Ondarts M., Gonze E. Development of an assessment methodology for IAQ ventilation performance in residential buildings: an investigation of relevant performance indicators. J Build Eng. 2021;43 doi: 10.1016/j.jobe.2021.103140. [DOI] [Google Scholar]
- 8.Luo H., Zhong L. Ultraviolet germicidal irradiation (UVGI) for in-duct airborne bioaerosol disinfection: review and analysis of design factors. Build Environ. 2021 doi: 10.1016/j.buildenv.2021.107852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Testi D., Franco A., Conti P., Bartoli C. vol. 197. 75th Natl. ATI Congr. – #7 Clean Energy all (ATI 2020); Rome, Italy: 2020. (Clustering of educational building load data for defining healthy and energy-efficient management solutions of integrated HVAC systems). [DOI] [Google Scholar]
- 10.Smieszek T., Lazzari G., Salathé M. Assessing the dynamics and control of droplet- and aerosol-transmitted Influenza using an indoor positioning system. Sci Rep. 2019;9:1–10. doi: 10.1038/s41598-019-38825-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Li Y., Leung G.M., Tang J.W., Yang X., Chao C.Y.H., Lin J.Z., et al. Role of ventilation in airborne transmission of infectious agents in the built environment - a multidisciplinary systematic review. Indoor Air. 2007;17:2–18. doi: 10.1111/j.1600-0668.2006.00445.x. [DOI] [PubMed] [Google Scholar]
- 12.Knibbs L.D., Morawska L., Bell S.C., Grzybowski P. Room ventilation and the risk of airborne infection transmission in 3 health care settings within a large teaching hospital. Am J Infect Control. 2011;39:866–872. doi: 10.1016/j.ajic.2011.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Schibuola L., Tambani C. Performance comparison of heat recovery systems to reduce viral contagion in indoor environments. Appl Therm Eng. 2021;190 doi: 10.1016/j.applthermaleng.2021.116843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ascione F., De Masi R.F., Mastellone M., Vanoli G.P. The design of safe classrooms of educational buildings for facing contagions and transmission of diseases: a novel approach combining audits, calibrated energy models, building performance (BPS) and computational fluid dynamic (CFD) simulations. Energy Build. 2021;230 doi: 10.1016/j.enbuild.2020.110533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Gilkeson C.A., Camargo-Valero M.A., Pickin L.E., Noakes C.J. Measurement of ventilation and airborne infection risk in large naturally ventilated hospital wards. Build Environ. 2013;65:35–48. doi: 10.1016/j.buildenv.2013.03.006. [DOI] [Google Scholar]
- 16.Jo S., Hong J.K., Lee S.E., Ki M., Choi B.Y., Sung M. Airflow analysis of Pyeongtaek St Mary's Hospital during hospitalization of the first Middle East respiratory syndrome patient in Korea. R Soc Open Sci. 2019;6:1–14. doi: 10.1098/rsos.181164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Correia G., Rodrigues L., Gameiro da Silva M., Gonçalves T. Airborne route and bad use of ventilation systems as non-negligible factors in SARS-CoV-2 transmission. Med Hypotheses. 2020:141. doi: 10.1016/j.mehy.2020.109781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zheng W., Hu J., Wang Z., Li J., Fu Z., Li H., et al. COVID-19 impact on operation and energy consumption of heating, ventilation and air-conditioning (HVAC) systems. Adv Appl Energy. 2021;3 doi: 10.1016/j.adapen.2021.100040. [DOI] [Google Scholar]
- 19.Cutler D.M., Summers L.H. The COVID-19 pandemic and the $16 trillion virus. J Am Med Assoc. 2020;324:1495–1496. doi: 10.1257/pol.20170046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lewis P., Nordenson G., Lewis D.J., Tsurumaki M. Manual of physical distancing; space, time and cities in the era of covid-19. Issuu. 2020:36. https://issuu.com/djlewis72/docs/200622_manualphysicaldistancing_draft 8. [Google Scholar]
- 21.Franco A., Bartoli C., Conti P., Miserocchi L., Testi D. Multi-objective optimization of hvac operation for balancing energy use and occupant comfort in educational buildings. Energies. 2021;14:2847. doi: 10.3390/en14102847. [DOI] [Google Scholar]
- 22.Zheng W., Hu J., Wang Z., Li J., Fu Z., Li H., et al. COVID-19 impact on operation and energy consumption of heating, ventilation and air-conditioning (HVAC) systems. Adv Appl Energy. 2021;3 doi: 10.1016/j.adapen.2021.100040. [DOI] [Google Scholar]
- 23.Moghadam T., Ochoa C.E., Lopez M., Bruton K. CLIMA 2022 14th REHVA HVAC World Congr; Rotterdam: 2022. The indoor air quality , ventilation and energy nexus in the COVID-19 context; pp. 1–8. [DOI] [Google Scholar]
- 24.Settimo G., Avino P. The dichotomy between indoor air quality and energy efficiency in light of the onset of the COVID-19 pandemic. Atmosphere. 2021;12:791. doi: 10.3390/atmos12060791. [DOI] [Google Scholar]
- 25.Sha H., Zhang X., Qi D. Optimal control of high-rise building mechanical ventilation system for achieving low risk of COVID-19 transmission and ventilative cooling. Sustain Cities Soc. 2021;74 doi: 10.1016/j.scs.2021.103256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Qin C., Zhang S., Li Z., Wen C., Lu W. Transmission mitigation of COVID-19: exhaled contaminants removal and energy saving in densely occupied space by impinging jet ventilation. Build Environ J. 2023;232 doi: 10.1016/j.buildenv.2023.110066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zaniboni L., Albatici R. Natural and mechanical ventilation concepts for indoor comfort and well-being with a sustainable design perspective: a systematic review. Buildings. 2022;12 doi: 10.3390/buildings12111983. [DOI] [Google Scholar]
- 28.Jiang Z., Deng Z., Wang X., Dong B. PANDEMIC: occupancy driven predictive ventilation control to minimize energy consumption and infection risk. Appl Energy. 2023;334 doi: 10.1016/j.apenergy.2023.120676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Qureshi Y., Ali U., Sher F. Part load operation of natural gas fired power plant with CO2 capture system for selective exhaust gas recirculation. Appl Therm Eng. 2021;190 doi: 10.1016/j.applthermaleng.2021.116808. [DOI] [Google Scholar]
- 30.Yin C., Qiu S., Zhang S., Sher F., Zhang H., Xu J., et al. Strength degradation mechanism of iron coke prepared by mixed coal and Fe2O3. J Anal Appl Pyrolysis. 2020;150 doi: 10.1016/j.jaap.2020.104897. [DOI] [Google Scholar]
- 31.Chen Y., Ye Y., Liu J., Zhang L., Li W., Mohtaram S. Machine learning approach to predict building thermal load considering feature variable Dimensions: an office building case study. Buildings. 2023;13 doi: 10.3390/buildings13020312. [DOI] [Google Scholar]
- 32.The Future of Cooling Opportunities for energy- efficient air conditioning. International Energy Agency (IEA); 2018. p. 92. [Google Scholar]
- 33.Chen L., Zhang L., Wang Y., Xie M., Yang H., Ye K., et al. Design and performance evaluation of a novel system integrating Water-based carbon capture with adiabatic compressed air energy storage. Energy Convers Manag. 2023;276 doi: 10.1016/j.enconman.2022.116583. [DOI] [Google Scholar]
- 34.Mohtaram S., Sun Y., Sun H., Abrishami A., Omidi M., Lin J. A comprehensive design, optimization and development methodology of a wasted heat recovery boiler using serrated fins and extensive surface in a bulky CCPP. Case Stud Therm Eng. 2021;23 doi: 10.1016/j.csite.2020.100808. [DOI] [Google Scholar]
- 35.(NREL) NREL . United States Dep Energy; 2003. Improving Fan System performance: a sourcebook for industry; p. 92. [Google Scholar]
- 36.Darmody M., Smyth E., Russell H. The implications of the COVID-19 pandemic for policy in relation to children and young people. 2020; 94:1-100 [Google Scholar]
- 37.ASHRAE ASHRAE position document on infectious aerosols. Ashrae. 2020:1–24. [Google Scholar]
- 38.ASHRAE . ASHRAE; 2020. Guidance for covid-19 risk reduction in residential buildings; p. 1. [Google Scholar]
- 39.Cortiços N.D., Duarte C.C. Energy efficiency in large office buildings post-COVID-19 in Europe's top five economies. Energy Sustain Dev. 2022;68:410–424. doi: 10.1016/j.esd.2022.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Francisco P.W., Delaquila D., Emmerich S.J., Hedrick R., Hodgson M.D., Mph M. ASHRAE position document on unvented combustion devices. ASHRAE. 2020:20. [Google Scholar]
- 41.Risbeck M.J., Bazant M.Z., Jiang Z., Lee Y.M., Drees K.H., Douglas J.D. Quantifying the tradeoff between energy consumption and the risk of airborne disease transmission for building HVAC systems. Sci Technol Built Environ. 2022;28 doi: 10.1101/2021.06.21.21259287. [DOI] [Google Scholar]
- 42.Guo M., Xu P., Xiao T., He R., Dai M., Miller S.L. Review and comparison of HVAC operation guidelines in different countries during the COVID-19 pandemic. Build Environ J. 2021;187 doi: 10.1016/j.buildenv.2020.107368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Giampieri A., Ma Z., Roskilly A.P., Smallbone A.J. An overview of solutions for airborne viral transmission reduction related to HVAC systems including liquid desiccant air-scrubbing. Energy. 2022;244:1–37. doi: 10.1016/j.energy.2021.122709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Dominski F.H., Lorenzetti Branco J.H., Buonanno G., Stabile L., Gameiro da Silva M., Andrade A. Effects of air pollution on health: a mapping review of systematic reviews and meta-analyses. Environ Res. 2021;201 doi: 10.1016/j.envres.2021.111487. Contents. [DOI] [PubMed] [Google Scholar]
- 45.Zavala E., Franch X., Marco J. Adaptive monitoring: a systematic mapping. Inf Software Technol. 2019;105:161–189. doi: 10.1016/j.infsof.2018.08.013. [DOI] [Google Scholar]
- 46.O'Donovan P., Leahy K., Bruton K., O'Sullivan D.T.J. Big data in manufacturing: a systematic mapping study. J Big Data. 2015;2:1–22. doi: 10.1186/s40537-015-0028-x. [DOI] [Google Scholar]
- 47.Brem A., Adrita M.M., O'Sullivan D.T.J., Bruton K. Industrial smart and micro grid systems – a systematic mapping study. J Clean Prod. 2020;244 doi: 10.1016/j.jclepro.2019.118828. [DOI] [Google Scholar]
- 48.Schmidt L., Olorisade B.K., McGuinness L.A., Thomas J., Higgins J.P.T. Data extraction methods for systematic review (semi)automation: a living systematic review. F1000Research. 2021;10:1–35. doi: 10.12688/f1000research.51117.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Memon A.R., Rathore F.A. Publishing research during pandemics: are you vulnerable to the COVID-19 or predatory publishers? J Pakistan Med Assoc. 2020;70:166–168. doi: 10.5455/JPMA.39. [DOI] [PubMed] [Google Scholar]
- 50.Xiang Y.T., Li W., Zhang Q., Jin Y., Rao W.W., Zeng L.N., et al. Timely research papers about COVID-19 in China. Lancet. 2020;395:684–685. doi: 10.1016/S0140-6736(20)30375-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Turatto F., Mazzalai E., Pagano F., Migliara G., Villari P., De Vito C. A systematic review and bibliometric analysis of the scientific literature on the early phase of COVID-19 in Italy. Front Public Health. 2021;9:1–10. doi: 10.3389/fpubh.2021.666669. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Franco A., Miserocchi L., Testi D. A method for optimal operation of HVAC with heat pumps for reducing the energy demand of large-scale non residential buildings. J Build Eng. 2021;43 doi: 10.1016/j.jobe.2021.103175. [DOI] [Google Scholar]
- 53.Franco A., Leccese F. Measurement of CO2 concentration for occupancy estimation in educational buildings with energy efficiency purposes. J Build Eng. 2020;32 doi: 10.1016/j.jobe.2020.101714. [DOI] [Google Scholar]
- 54.Anastasi G., Bartoli C., Conti P., Crisostomi E., Franco A., Saponara S., et al. Optimized energy and air quality management of shared smart buildings in the covid-19 scenario. Energies. 2021;14:1–17. doi: 10.3390/en14082124. [DOI] [Google Scholar]
- 55.Franco A. Balancing user comfort and energy efficiency in public buildings through social interaction by ICT systems. Systems. 2020;8:1–16. doi: 10.3390/systems8030029. [DOI] [Google Scholar]
- 56.Tremblay S., Castiglione S., Audet L.A., Desmarais M., Horace M., Peláez S. Conducting qualitative research to respond to COVID-19 challenges: reflections for the present and beyond. Int J Qual Methods. 2021;20:1–8. doi: 10.1177/16094069211009679. [DOI] [Google Scholar]
- 57.Sparkes A.C., Smith B. Judging the quality of qualitative inquiry: criteriology and relativism in action. Psychol Sport Exerc. 2009;10:491–497. doi: 10.1016/j.psychsport.2009.02.006. [DOI] [Google Scholar]
- 58.Andersson N. Participatory research—a modernizing science for primary health care. J Gen Fam Med. 2018;19:154–159. doi: 10.1002/jgf2.187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Tremblay S., Castiglione S., Audet L.A., Desmarais M., Horace M., Peláez S. Conducting qualitative research to respond to COVID-19 challenges: reflections for the present and beyond. Int J Qual Methods. 2021;20:1–8. doi: 10.1177/16094069211009679. [DOI] [Google Scholar]
- 60.Chafe R. The value of qualitative description in health services and policy research. Healthc Policy. 2017;12:12–18. doi: 10.12927/hcpol.2017.25030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Pekdogan T., Tokuç A., Ezan M.A., Başaran T. Experimental investigation of a decentralized heat recovery ventilation system. J Build Eng. 2021;35 doi: 10.1016/j.jobe.2020.102009. [DOI] [Google Scholar]
- 62.Squire M.M., Munsamy M., Lin G., Telukdarie A., Igusa T. Modeling hospital energy and economic costs for COVID-19 infection control interventions. Energy Build. 2021;242 doi: 10.1016/j.enbuild.2021.110948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Kim N.K., Kang D.H., Lee W., Kang H.W. Airflow pattern control using artificial intelligence for effective removal of indoor airborne hazardous materials. Build Environ. 2021;204 doi: 10.1016/j.buildenv.2021.108148. [DOI] [Google Scholar]
- 64.Kalmár T., Kalmár F. Investigation of natural aeration in home offices during the heating season – case study. J Build Eng. 2021;35 doi: 10.1016/j.jobe.2020.102052. [DOI] [Google Scholar]
- 65.Tahmasebi F., Wang Y., Cooper E., Godoy Shimizu D., Stamp S., Mumovic D. Window operation behaviour and indoor air quality during lockdown: a monitoring-based simulation-assisted study in London. Build Serv Eng Res Technol. 2021;43:1–17. doi: 10.1177/01436244211017786. [DOI] [Google Scholar]
- 66.Pungercar V., Zhan Q., Xiao Y., Musso F., Dinkel A., Pflug T. A new retrofitting strategy for the improvement of indoor environment quality and energy efficiency in residential buildings in temperate climate using prefabricated elements. Energy Build. 2021;241 doi: 10.1016/j.enbuild.2021.110951. [DOI] [Google Scholar]
- 67.Al-Hilfi L.M.A., Wong J., Lim Y.S., Chua K.H. IEEE; Sarawak, Malaysia: 2021. Evaluating energy saving potential and IAQ improvement of an environmental-controlled fan system for residence during the COVID-19 era. 9th int. Conf. Smart grid clean energy technol. (ICSGCE 2021) pp. 116–122. [DOI] [Google Scholar]
- 68.Jezierski W., Zukowski M., Sadowska B. Analysis of the impact of self-isolation of residents during a pandemic on energy demand and indoor air quality in a single-family building. Energies. 2020;13:1–24. doi: 10.3390/en13236470. [DOI] [Google Scholar]
- 69.Ozarisoy B. Energy effectiveness of passive cooling design strategies to reduce the impact of long-term heatwaves on occupants' thermal comfort in Europe: climate change and mitigation. J Clean Prod. 2022;330 doi: 10.1016/j.jclepro.2021.129675. [DOI] [Google Scholar]
- 70.Xu F., Gao Z. Study on indoor air quality and fresh air energy consumption under different ventilation modes in 24-hour occupied bedrooms in Nanjing, using Modelica-based simulation. Energy Build. 2022;257 doi: 10.1016/j.enbuild.2021.111805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Mantesi E., Chmutina K., Goodier C. The office of the future: operational energy consumption in the post-pandemic era. Energy Res Soc Sci. 2022;87 doi: 10.1016/j.erss.2021.102472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Aviv D., Wee Chen K., Teitelbaum E., Sheppard D., Pantelic J., Rysanek A., et al. A Fresh (Air) Look at Ventilation for COVID-19: estimating the global energy savings potential of coupling natural ventilation with novel radiant cooling strategies. Appl Energy. 2021 doi: 10.1016/j.apenergy.2021.116848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Yin H., Huo Y., Wang Y., Ji D., Wang J., Ma Z., et al. Numerical investigation on mechanisms and performance of column attachment ventilation for winter heating. Build Environ. 2021;202 doi: 10.1016/j.buildenv.2021.108025. [DOI] [Google Scholar]
- 74.Pollard B., Held F., Engelen L., Powell L., de Dear R. Data fusion in buildings: synthesis of high-resolution IEQ and occupant tracking data. Sci Total Environ. 2021;776 doi: 10.1016/j.scitotenv.2021.146047. [DOI] [Google Scholar]
- 75.Abbas G.M., Gursel Dino I. The impact of natural ventilation on airborne biocontaminants: a study on COVID-19 dispersion in an open office. Eng Construct Architect Manag. 2021 doi: 10.1108/ECAM-12-2020-1047. [DOI] [Google Scholar]
- 76.Su Y., Cheng H., Wang Z., Wang L. Impacts of the COVID-19 lockdown on building energy consumption and indoor environment: a case study in Dalian, China. Energy Build. 2022;263 doi: 10.1016/j.enbuild.2022.112055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Faulkner C.A., Castellini J.E., Zuo W., Lorenzetti D.M., Sohn M.D. Investigation of HVAC operation strategies for office buildings during COVID-19 pandemic. Build Environ. 2022;207 doi: 10.1016/j.buildenv.2021.108519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Mokhtari R., Jahangir M.H. The effect of occupant distribution on energy consumption and COVID-19 infection in buildings: a case study of university building. Build Environ. 2021;190 doi: 10.1016/j.buildenv.2020.107561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Balocco C., Leoncini L. Energy cost for effective ventilation and air quality for healthy buildings: plant proposals for a historic building school reopening in the covid-19 era. Sustain Times. 2020;12:1–16. doi: 10.3390/su12208737. [DOI] [Google Scholar]
- 80.Zhang S., Ai Z., Lin Z. Novel demand-controlled optimization of constant-air-volume mechanical ventilation for indoor air quality, durability and energy saving. Appl Energy. 2021;293 doi: 10.1016/j.apenergy.2021.116954. [DOI] [Google Scholar]
- 81.Orosa J.A., Nematchoua M.K., Reiter S. Air changes for healthy indoor ambiences under pandemic conditions and its energetic implications: a Galician case study. Appl Sci. 2020;10:1–13. doi: 10.3390/app10207169. [DOI] [Google Scholar]
- 82.Cossa A. Vienna University of Technology; 2021. Additional refurbishment to a standard thermal retrofit of an educational building. [DOI] [Google Scholar]
- 83.Melgar S.G., Cordero A.S., Rodríguez M.V., Márquez J.M.A. vol. 293. (GCEECE 2021); Guangzhou, China: 2021. Influence on indoor comfort due to the application of Covid-19 natural ventilation protocols for schools at subtropical climate during winter season. (3rd glob. Conf. Ecol. Environ. Civ. Eng). [DOI] [Google Scholar]
- 84.Franceschini P.B., Neves L.O. A critical review on occupant behaviour modelling for building performance simulation of naturally ventilated school buildings and potential changes due to the COVID-19 pandemic. Energy Build. 2022;258 doi: 10.1016/j.enbuild.2022.111831. [DOI] [Google Scholar]
- 85.Mohammed A. Universidad del Pais Vasco; 2021. A multifaceted analysis of COVID-19 propagation in confined spaces: a techno-economic assessment of ventilation, heating, and renewables integration. [Google Scholar]
- 86.Mori T., Akamatsu T., Kuwabara K., Hayashi M. Comparison of indoor environment and energy consumption before and after spread of COVID-19 in schools in Japanese cold-climate region. Energies. 2022;15 doi: 10.3390/en15051781. [DOI] [Google Scholar]
- 87.Risbeck M.J., Bazant M.Z., Jiang Z., Lee Y.M., Drees K.H., Douglas J.D. Modeling and multiobjective optimization of indoor airborne disease transmission risk and associated energy consumption for building HVAC systems. Energy Build. 2021;253 doi: 10.1016/j.enbuild.2021.111497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Guo Y., Zhang N., Hu T., Wang Z., Zhang Y. Optimization of energy efficiency and COVID-19 pandemic control in different indoor environments. Energy Build. 2022;261 doi: 10.1016/j.enbuild.2022.111954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Katal A., Leon, Wang L., Albettar M. A real-time web tool for monitoring and mitigating indoor airborne COVID-19 transmission risks at city scale. Sustain Cities Soc. 2022;80 doi: 10.1016/j.scs.2022.103810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Burridge H.C., et al. The ventilation of buildings and other mitigating measures for COVID-19: a focus on winter 2020. Proc R Soc A Math Phys Eng Sci. 2020;477:1–31. doi: 10.1098/rspa.2020.0855. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Wang J., Huang J., Feng Z., Cao S.J., Haghighat F. Occupant-density-detection based energy efficient ventilation system: prevention of infection transmission. Energy Build. 2021;240 doi: 10.1016/j.enbuild.2021.110883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Blocken B., van Druenen T., Ricci A., Kang L., van Hooff T., Qin P., et al. Ventilation and air cleaning to limit aerosol particle concentrations in a gym during the COVID-19 pandemic. Build Environ. 2021;193 doi: 10.1016/j.buildenv.2021.107659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Yüksel A., Arıcı M., Krajčík M., Civan M., Karabay H. Energy consumption, thermal comfort, and indoor air quality in mosques: impact of Covid-19 measures. J Clean Prod. 2022;354 doi: 10.1016/j.jclepro.2022.131726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Eykelbosh A. Indoor CO2 sensors for COVID-19 risk mitigation: currentguidance and limitations. Natl Collab Cent Enviromental Heal. 2021:1–13. [Google Scholar]
- 95.Feng Z., Cao S.J., Haghighat F. Removal of SARS-CoV-2 using UV+Filter in built environment. Sustain Cities Soc. 2021;74 doi: 10.1016/j.scs.2021.103226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Kahn K., Mariita R.M. Quantifying the impact of ultraviolet subtype C in reducing airborne pathogen transmission and improving energy efficiency in healthy buildings: a kahn–mariita equivalent ventilation model. Front Built Environ. 2021;7:1–10. doi: 10.3389/fbuil.2021.725624. [DOI] [Google Scholar]
- 97.Engineer A., Gualano R.J., Crocker R.L., Smith J.L., Maizes V., Weil A., et al. An integrative health framework for wellbeing in the built environment. Build Environ. 2021;205 doi: 10.1016/j.buildenv.2021.108253. [DOI] [Google Scholar]
- 98.Ibn-Mohammed T., Mustapha K.B., Godsell J., Adamu Z., Babatunde K.A., Akintade D.D., et al. A critical review of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies. Resour Conserv Recycl. 2021;164 doi: 10.1016/j.resconrec.2020.105169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.De Castro D., Kim A. Adaptive or absent: a critical review of building system resilience in the leed rating system. Sustain Times. 2021;13:6697. doi: 10.3390/su13126697. [DOI] [Google Scholar]
- 100.Ghaddar N., Ghali K. Ten questions concerning the paradox of minimizing airborne transmission of infectious aerosols in densely occupied spaces via sustainable ventilation and other strategies in hot and humid climates. Build Environ. 2022;214 doi: 10.1016/j.buildenv.2022.108901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Anand P., Cheong D., Sekhar C. A review of occupancy-based building energy and IEQ controls and its future post-COVID. Sci Total Environ. 2022;804 doi: 10.1016/j.scitotenv.2021.150249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Melikov A.K. COVID-19: reduction of airborne transmission needs paradigm shift in ventilation. Build Environ J. 2020;186 doi: 10.1016/j.buildenv.2020.107336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Wieringa R., Maiden N., Mead N., Rolland C. Requirements engineering paper classification and evaluation criteria: a proposal and a discussion. Requir Eng. 2006;11:102–107. doi: 10.1007/s00766-005-0021-6. [DOI] [Google Scholar]
- 104.Nane G.F., Robinson-Garcia N., van Schalkwyk F., Torres-Salinas D. COVID-19 and the scientific publishing system: growth, open access and scientific fields. Scientometrics. 2023;128:345–362. doi: 10.1007/s11192-022-04536-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Horbach S.P.J.M. No time for that now! Qualitative changes in manuscript peer review during the Covid-19 pandemic. Res Eval. 2021;30:231–239. doi: 10.1093/reseval/rvaa037. [DOI] [Google Scholar]
- 106.Ehteshami M., Edgar C.L., Delgado Ayala L.Y., Hagan M., Martin G.S., Lam W., et al. Lessons learned from in-person conferences in the times of COVID-19. Int J Environ Res Publ Health. 2023;20 doi: 10.3390/ijerph20010510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Petersen K., Feldt R., Mujtaba S., Mattsson M. Systematic mapping studies in software engineering. 12th Int. Conf. Eval. Assess. Softw. Eng. EASE. 2008;2008:1–10. doi: 10.14236/ewic/ease2008.8. [DOI] [Google Scholar]
- 108.Kenarkoohi A., Noorimotlagh Z., Falahi S., Amarloei A., Abbas S. Hospital indoor air quality monitoring for the detection of SARS-CoV-2 (COVID-19) virus. Sci Total Environ J. 2020;748 doi: 10.1016/j.scitotenv.2020.141324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Tenailleau Q.M., Tannier C., Vuidel G., Tissandier P., Bernard N. Assessing the impact of telework enhancing policies for reducing car emissions: exploring calculation methods for data-missing urban areas – example of a medium-sized European city (Besançon, France) Urban Clim. 2021;38 doi: 10.1016/j.uclim.2021.100876. [DOI] [Google Scholar]
- 110.Romero E., López-Romero L., Domínguez-álvarez B., Villar P., Gómez-Fraguela J.A. Testing the effects of covid-19 confinement in Spanish children: the role of parents' distress, emotional problems and specific parenting. Int J Environ Res Publ Health. 2020;17:1–23. doi: 10.3390/ijerph17196975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Analytics G.W. Work from home experience survey results. 2021. https://globalworkplaceanalytics.com/global- work-from-home-experience-survey
- 112.Sarah K., Oceane S., Emily F., Carole F. Learning from lockdown - assessing the positive and negative experiences, and coping strategies of researchers during the COVID-19 pandemic. Appl Anim Behav Sci. 2021;236 doi: 10.1016/j.applanim.2021.105269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Rouleau J., Gosselin L. Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building. Appl Energy. 2021;287 doi: 10.1016/j.apenergy.2021.116565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Krarti M., Aldubyan M. Review analysis of COVID-19 impact on electricity demand for residential buildings. Renew Sustain Energy Rev. 2021;143 doi: 10.1016/j.rser.2021.110888. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Atkinson J., Chartier Y., Carmen Lúcia, Pessoa-Silva, Jensen Paul, Li Y., Seto W.-H. WHO Publ; 2009. Natural ventilation for infection control in health-care settings; pp. 77–81. [PubMed] [Google Scholar]
- 116.Zhao Y., Sun H., Tu D. Effect of mechanical ventilation and natural ventilation on indoor climates in Urumqi residential buildings. Build Environ. 2018;144:108–118. doi: 10.1016/j.buildenv.2018.08.021. [DOI] [Google Scholar]
- 117.Shrestha M., Rijal H.B., Kayo G., Shukuya M. An investigation on CO2 concentration based on field survey and simulation in naturally ventilated Nepalese school buildings during summer. Build Environ. 2022;207 doi: 10.1016/j.buildenv.2021.108405. [DOI] [Google Scholar]
- 118.Kang I., McCreery A., Azimi P., Gramigna A., Baca G., Abromitis K., et al. Indoor air quality impacts of residential mechanical ventilation system retrofits in existing homes in Chicago, IL. Sci Total Environ. 2022;804 doi: 10.1016/j.scitotenv.2021.150129. [DOI] [PubMed] [Google Scholar]
- 119.Sleiti A.K., Ahmed S.F., Ghani S.A. Spreading of SARS-CoV-2 via heating, ventilation, and air conditioning systems-an overview of energy perspective and potential solutions. J Energy Resour Technol. 2021;143 doi: 10.1115/1.4048943. [DOI] [Google Scholar]
- 120.Ledo Gomis L., Fiorentini M., Daly D. Potential and practical management of hybrid ventilation in buildings. Energy Build. 2021;231 doi: 10.1016/j.enbuild.2020.110597. [DOI] [Google Scholar]
- 121.Klepeis N.E., Nelson W.C., Ott W.R., Robinson J.P., Tsang A.M., Switzer P., et al. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J Expo Anal Environ Epidemiol. 2001;11:231–252. doi: 10.1038/sj.jea.7500165. [DOI] [PubMed] [Google Scholar]
- 122.Krieger J., Higgins D.L. Housing and health: time again for public health action. Am J Publ Health. 2002;92:758–768. doi: 10.2105/AJPH.92.5.758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Kim J., de Dear R. Is mixed-mode ventilation a comfortable low-energy solution? A literature review. Build Environ. 2021;205 doi: 10.1016/j.buildenv.2021.108215. [DOI] [Google Scholar]
- 124.Schibuola L., Tambani C. High energy efficiency ventilation to limit COVID-19 contagion in school environments. Energy Build. 2021;240 doi: 10.1016/j.enbuild.2021.110882. [DOI] [PMC free article] [PubMed] [Google Scholar]
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