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. Author manuscript; available in PMC: 2022 Feb 18.
Published in final edited form as: Environ Sci Technol. 2021 Oct 29;55(22):15333–15342. doi: 10.1021/acs.est.1c03390

Cookstove emissions and performance evaluation using a new ISO protocol and comparison of results with previous test protocols

Wyatt M Champion 1,, Michael D Hays 2, Craig Williams 3, Larry Virtaranta 4, Mark Barnes 2, William Preston 3, James J Jetter 2,*
PMCID: PMC8855438  NIHMSID: NIHMS1762676  PMID: 34714622

Abstract

In 2018, the International Organization for Standardization (ISO) 19867–1 “Harmonized laboratory test protocols” were released for establishing improved quality and comparability for data on cookstove air pollutant emissions, efficiency, safety, and durability. This is the first study that compares emissions [carbon dioxide, carbon monoxide, total hydrocarbons, methane, nitrogen oxides, fine particulate matter (PM2.5), organic carbon, elemental carbon, and ultrafine particles] and efficiency data between the ISO protocol and the Water Boiling Test (WBT). The study examines six stove/fuel combinations [liquefied petroleum gas (LPG), pellet, wood fan, wood rocket, three stone fire, and charcoal] tested in the same US EPA laboratory. Evaluation of the ISO protocol shows improvements over previous test protocols and that results are relatively consistent with former WBT data in terms of tier ratings for emissions and efficiency, as defined by the ISO 19867–3 “Voluntary Performance Targets.” Most stove types remain similarly ranked using ISO and WBT protocols, except charcoal and LPG are in higher PM2.5 tiers with the ISO protocol. Additionally, emissions data including polycyclic aromatic hydrocarbons are utilized to compare between the ISO and Firepower Sweep Test (FST) protocols. Compared to the FST, the ISO protocol results in generally higher PM2.5 tier ratings.

Keywords: cookstoves, household energy, household air pollution, international standards, air pollutant emissions, fuel efficiency

Graphical Abstract

graphic file with name nihms-1762676-f0001.jpg

Introduction

Approximately 40% of the world’s population rely on solid-fuel cookstoves that emit pollutants affecting health and climate.1 Cooking with solid-fuels contributes to 12% of the global ambient fine particulate matter (PM2.5) burden,2 and to 25% of ambient black carbon,3 an important short-term climate forcer. Household air pollution (HAP) from solid-fuel use caused between 1.4 and 1.9 million premature deaths in 2017,4 while exposures to ambient PM2.5 from household solid-fuel use resulted in another 0.3–0.5 million annual premature deaths.2,5,6 Cookstoves emit a wide range of pollutants, including particle- and gas-phase polycyclic aromatic hydrocarbons (PAHs),710 many of which are known or probable human carcinogens.11 The health of those in low- and middle-income countries is disproportionately affected by HAP.1214 Implementation of clean cooking technologies not only improves indoor and outdoor air quality, but provides potential advances in at least ten of the seventeen Sustainable Development Goals.15,16

Laboratory testing of cookstoves provides high-quality, reproducible data useful for evaluating cookstove emissions and performance metrics. The Water Boiling Test (WBT) protocol,17 beginning in 1982,18 has been extensively employed for laboratory cookstove testing;1921 currently, the Clean Cooking Catalog22 provides >770 unique WBT results for stoves ranging from the traditional wood-fueled three stone fire (TSF) to clean-burning liquified petroleum gas (LPG). WBT data have been applied for technology development and used as guidance for stove evaluation prior to more expensive field trials.23 If laboratory data are confirmed by field data, then emissions test results can be confidently used for estimation of health benefits24 and in regional and global air pollution modeling.25,26

There are limitations associated with laboratory cookstove testing, and with the WBT in particular, including: (1) focus on boiling and simmering of water (i.e., lack of applicability to all cooking activities), (2) ambiguity in testing procedures (e.g., ignition practice, quality assurance/control guidelines, fuel characteristics, determination of boiling point and definition of end time) that may result in inconsistent results between laboratories/testers, (3) focus on emissions measurements from the entire test phase vs. specific portions that can produce outsized emissions contributions (e.g., ignition), and (4) different and idealized operation of the stove in a laboratory vs. field setting. These limitations explain, in part, the tendency for laboratory testing to underpredict emissions from non-ideal, real-world practices observed in the field.2729 Therefore, testing protocols that include, for example, varying stove firepower,30 varying pot sizes,31 or comparisons to field-based “burn cycles”32 were proposed. For example, the Firepower Sweep Test (FST)30 for continuous-feed wood stoves employs periods of start-up, sweep-down (i.e., decreasing firepower), sweep-up, and shutdown to explore the range of stove operation in terms of firepower. The FST results in both higher and more variable emissions compared to the WBT,30 and improved representation of field data. Best practices from the FST and other protocols were considered in the development of an ISO (International Organization for Standardization) test protocol.

In development for more than four years and released in 2018, the ISO 19867–1 protocol was intended to unify best practices from existing protocols, and to provide a “standard test sequence to establish international comparability in the measurement of cookstove emissions and efficiency.” The ISO protocol was intended to improve harmonization in lab testing at multiple power levels, while reducing testing complexity. The associated ISO 19867–3 technical report employs a tier system33 that provides a simplified way for non-experts (e.g., consumers, policy-makers) to rank stove performance. The ISO test protocol varies from the WBT and FST in some ways (as described below) and is intended to provide a practical and widely applicable laboratory test method. The ISO protocol is hypothesized to result in higher emissions of carbon monoxide (CO) and other pollutants compared to the WBT. To our knowledge, the present study is the first to examine this hypothesis by providing test results for the full ISO protocol and comparing it with WBT and FST protocols. More specifically, this study aims to: (1) compare gas- and particle-phase emissions and stove performance data for the ISO vs. WBT and FST protocols across a range of fuel and stove combinations, (2) highlight key differences between protocols that contribute to deviations in results, and (3) provide results in support of ongoing implementation and further development of cookstove standards in countries that may adopt or adapt the ISO protocol.

Methods

Cookstove/fuel combinations

Six stove/fuel combinations were tested as shown and described in Figure S1 and Section S1 of the Supporting Information (SI): (A) Mikachi stove burning LPG fuel, (B) Mimi Moto forced-draft semi-gasifier stove burning hardwood pellets, (C) Philips HD4012 forced-draft semi-gasifier stove burning cut red oak, (D) Envirofit G3300 natural-draft rocket stove burning cut red oak, (E) a “minimally tended” TSF burning cut red oak, and (F) Kenya Ceramic Jiko stove burning lump hardwood charcoal. These stoves are herein referred to respectively as: LPG, Pellet, Wood Fan, Wood Rocket, TSF, and Charcoal. The stoves were selected to: (1) span a range of current cookstove technologies, (2) test a representative model of each stove type, and (3) compare results of the same stove/fuel combinations previously tested using the WBT in the same facility,19 where applicable (as described below). Additionally, five of the six stove/fuel combinations (LPG, Pellet, Wood Rocket, TSF, and Charcoal) were compared against similar stove/fuel combinations previously tested using the FST.34 A difference in the study comparison was that Bilsback and colleagues used the Philips HD4012 for the Pellet stove, whereas we used the Mimi Moto (both studies used hardwood pellets); the four other stove and fuel combinations matched.

Each cookstove was operated according to manufacturer instructions. Fuels are described in SI Section S2. Fuel moisture content was measured by oven drying using ASTM Method D4442–16. Fuel heat of combustion was measured by bomb calorimetry using ASTM Method D5865–13; per WBT and ISO specifications, the lower heating value was used in emission factor and efficiency calculations. Fuel analysis results are reported in Table S1. The cooking pots employed for testing are described in SI Section S3.

Test protocols

The ISO 19867–1 test protocol was employed in this study to determine cookstove power, energy efficiency, fuel use, and pollutant metrics.35 This protocol employed test phases at three power levels (high, medium, and low), with each phase including a startup, an approximate 30-minute burning period, and a shutdown (Figure 1, upper panel). The three power levels were tested sequentially, and emissions sampled throughout the entirety of each phase included startup and shutdown.

Figure 1.

Figure 1.

Schematic overview of ISO, WBT, and FST protocols. Schematics for the FST are for continuous-feed wood and batch-feed wood and charcoal stoves.

The WBT also consisted of three phases: high-power cold start, high-power hot start, and low-power simmer. Figure 1 illustrates key differences between the ISO and WBT, including (1) incorporation of a shutdown period in each phase for ISO, (2) incorporation of a startup period in the low-power phase (as opposed to continuation from high-power, hot start in the WBT), and (3) definition of test period durations based on time for all test phases for ISO vs. boiling point for WBT high-power phases.

The FST does not consist of distinct phases (although portions of the test may be defined for integrated sampling; e.g., filter sampling), but rather “sweeps” the firepower range of a stove to assess emissions and performance at both transition and pseudo-steady state operation. Figure 1 (bottom panel) shows idealized operation for a continuous-feed wood stove (solid line), and representative operation of batch-feed wood and charcoal stoves (dashed and dotted lines, respectively). The ISO and FST protocols were similar in that each incorporated startup and shutdown phases, were defined by approximate time intervals (as opposed to boiling point or water temperature), and spanned numerous stove power levels. However, the FST is effectively one continuous “sweep”, whereas the ISO protocol has distinct phases of steady operation at different power levels.

Both ISO 19867–1 and WBT v4 protocols were employed in this study and test-phase-specific emissions data were reported. Fuel burning rates (and subsequently firepower) for ISO testing were selected to represent reasonable upper and lower operating limits of the stove, and to align with those of the respective WBT phase for comparison (e.g., ISO high-power vs. WBT high-power, cold start).19 Pollutant emissions were measured and reported for each of the three ISO phases. To augment the literature WBT dataset used for Wood Fan, Wood Rocket, TSF, and Charcoal stoves,19 WBTs were conducted for LPG and Pellet stoves. Results for each phase are reported as averages with sample standard deviations, with test replicates of at least five as specified by the ISO protocol and at least three as specified by the WBT (see Table S2 for experimental matrix). The FST was not employed in the present study, but literature data for the overall FST34 were used for comparison against ISO data generated here; discretized power level data for the FST were reported previously,30 but for differing stove/fuel combinations, and thus not used in comparisons here. Additional descriptions of the test protocols are provided in SI Section S4.

Cookstove Test Facility

Testing was conducted at the US EPA’s Household Energy Laboratory in Research Triangle Park, NC, USA. A schematic of the emissions testing system and description of the facility are provided in the SI of our laboratory’s previous work.19 Briefly, stove emissions were collected into a stainless-steel hood connected to a dilution tunnel (~4.2 m3 min−1) from which emissions were sampled. An induced-draft blower maintained negative pressure in the entire system and provided hood air and filtered dilution air flows; a second stage of dilution (9.9:1) was provided by a dilution sampling system, required for aerosol instrumentation.

Emissions characterization

CO, carbon dioxide (CO2), total hydrocarbons (THCs), and methane (CH4) were continuously monitored with nondispersive infrared (NDIR) and flame ionization detector (FID) analyzers (Models 600 NDIR/HFID, California Analytical, Orange, CA); nitrogen oxides (NOx) were monitored with a chemiluminescence analyzer (Model 200EH, Teledyne, San Diego, CA). Continuous measurements were averaged and recorded every 5 s. PM2.5 was sampled isokinetically and collected onto both polytetrafluoroethylene (PTFE) membrane and quartz fiber filters (QFF) positioned downstream of PM2.5 cyclones (URG; Chapel Hill, NC) at a flow rate of 16.7 lpm each. A second QFF downstream of the PTFE filter was used to compensate for the gas-phase artefact.36 PM2.5 mass was measured gravimetrically with a microbalance with a resolution of 1 μg (Model MC5, Sartorius, Göttingen, Germany or Model XP2U, Mettler Toledo, Columbus, OH). PTFE filters were equilibrated at 35% relative humidity and 23°C in an environmental chamber prior to weighing.

QFF were analyzed for organic and elemental carbon (OC and EC) content using an OC-EC analyzer (Sunset Laboratory, Tigard, OR) with a modified NIOSH protocol.37 Annular glass sorbent tubes (6 mm OD × 4 mm ID × 178 mm, Sigma-Aldrich, St. Louis, MO) filled with 40 mm of Carbotrap-F, 20 mm of Carbotrap-C, and upstream QFF punches, were used to sample emissions for triplicate ISO high- and low-power phases for all stove/fuel combinations tested. Sorbent tubes containing the QFF punches were analyzed using a thermal desorption gas chromatography mass spectrometer (TD/GC/MS) (Gerstel TDS2, MD, USA) that reports mass of gas- and particle-phase (i.e., total) PAHs sampled. The GC/MS analysis was conducted in single ion monitoring (SIM) mode, and results are reported for 26 compounds. This approach reduced the total number of samples requiring analysis and simplified data work-up for the semi-volatile organic compounds (SVOCs).

An engine exhaust particle sizer (EEPS; Model 3090; TSI; Shoreview, MN) measured particles of mobility diameter range 6.0–523 nm in real-time (1 Hz). A tapered element oscillating microbalance (TEOM; Model 1405; Thermo Fisher; Waltham, MA) quantified real-time PM2.5 mass emissions for the ISO tests. Emissions of all pollutants were quantified using the total-capture mass-flow method with continuous monitoring of the dilution tunnel air flow, temperature, pressure, and relative humidity over the test period. The carbon-balance method38 was utilized to compare carbon measured in fuel and emissions for internal quality assurance.

To explore real-time trends (and define which periods contributed to differences between protocols), instantaneous emission rates (IERP = QΔ[P]) were calculated and analyzed; IERP (μg s−1) is the instantaneous emission rate for pollutant P, Q is the duct flow rate (m3 s−1), and Δ[P] is the background-corrected mass concentration of pollutant P (μg m−3). IERs were normalized with respect to both test duration and mass of pollutant emitted for CO, THC, PM2.5, and UFP (ultrafine particle, number) using an approach similar to prior laboratory and field studies.39,40 In brief, IERs were normalized to total pollutant emitted ([IERnorm,P,t=IERP,t/t0tf(IERP,t)], where IERP is as defined above, P is the pollutant, t is a specific point during the test duration, t0 is test start, and tf is test finish) and then integrated to develop cumulative distribution functions (CDFs). These CDFs were not employed for the FST comparison, as these real-time data were not available.

Detection limits

Detection limits (DLs) were calculated using an approach described previously.41 Briefly, DLs were defined as three times the standard deviation of the noise in the background concentrations measured for at least 10 mins before and after tests for gaseous pollutants. For particle mass measurements, a similar method was employed using daily background filter sample masses. Results averaged from replicate tests were calculated as follows: (1) if a background-corrected emission metric was ≤zero, it was included in the average as a zero, (2) if a metric was greater than zero and ≤DL, it was averaged in conservatively as the DL itself, and (3) if a metric was above the DL, it was averaged in as its calculated value. This approach differs from that of Bilsback et al.,34 where the imputed value of DL/√2 was used for those values meeting the second criterion above. Imputation, or non-imputation, of non-detects is effectively arbitrary,42 and our approach allows reporting of statistics for stove/fuel combinations with some replicate values below the DL (e.g., LPG and Pellet, as shown in Tables S3 and S4) and provides a conservative estimate of emissions metrics for these cleaner-burning stoves. DLs are plotted along with metrics, as described in Section S5, in Figures S2S7.

Results and Discussion

Stove, fuel, and test protocol comparisons using the voluntary performance target system

As discussed, non-experts need a method to compare stove performance. Thus, Figure 2 introduces the ISO 19867–3 ‘Voluntary Performance Targets’.33 The lowest tier, Tier 0, represents ‘performance typical of open fires and the simplest types of solid-fuel cookstoves’, while the highest tier, Tier 5, represents best performance (i.e., higher tier = lower emissions). For example, Tier 5 for PM2.5 represents emissions modeled to result in ≥90% of homes (using the default assumptions in the ISO indoor air quality model) meeting the WHO annual mean air quality guideline (10 μg m−3), a level associated with minimal adverse health risk; Tiers 1–4 represent incremental improvements over the baseline case of Tier 0. Placement of emission factors (EFs) within the tier system is defined by the upper bounds of 90% mean confidence intervals; the FST Pellet CO EF is a single value however, as replicate data were unavailable. It is important to note that while the former ISO International Workshop Agreement (IWA) performance tiers specified that a stove must meet thresholds for both CO and PM2.5 to be classified (e.g., as a “Tier 4 stove for emissions”), the ISO 19867–3 tier system specifies separate tiers for each pollutant. Also, the ISO tier system is intended for use with averaged values obtained from testing at all power levels, as in Figure 2b, but values for high-power only are shown in Figure 2a for the purpose of comparing against WBT results. Lastly, the ISO tier system is intended for use with ISO test data (and not other protocols), though results obtained with other protocols are shown here for comparison.

Figure 2.

Figure 2.

CO and PM2.5 EFd values for (a) ISO (high-power) and WBT (mean of high-power CS and HS), and (b) ISO (overall) and FST (overall) rated with the ISO 19867–3 ‘Voluntary Tiers of Performance’. Confidence intervals (90%), as specified in ISO 19867–1, using pooled standard deviations are represented by the error bars.

Figure 2a plots CO and PM2.5 EFs based on useful energy delivered to the cooking pot (EFd) for the ISO high-power phase and the high-power WBT phases (mean of cold start (CS) and hot start (HS) phase test data, as defined by the IWA tier system for WBT data); these data are summarized in Tables S5 and S6. CO emissions produced using both protocols show the LPG, Pellet, and Wood Fan stoves in Tier 5, and the Wood Rocket, TSF, and Charcoal stoves in Tiers 3, 1, and 0, respectively. PM2.5 emissions using both protocols show Pellet in Tier 4, Wood Fan in Tier 3, Wood Rocket in Tier 1, and TSF in Tier 0; although, the ISO protocol (vs. WBT) did increase the tier rankings for the LPG (Tier 5 vs. 4) and Charcoal stoves (Tier 3 vs. 1). Therefore, tier levels vary by protocol for the most advanced stove type (LPG) and one of the traditional stove types (Charcoal): the LPG and Charcoal stoves show lower average PM2.5 emissions with the new ISO protocol. This observed difference is likely due to the typically higher start-up emissions averaged over a longer test phase duration with the ISO protocol.

Figure 2b tiers CO and PM2.5 EFd values for the overall (i.e., mean of all power levels) ISO and FST test data (Tables S5 and S6). For CO, the LPG and Pellet stoves are Tier 5 using both protocols, while TSF and Charcoal stoves are Tiers 1 and 0, respectively. Only the CO ranking for the Wood Rocket stove varies by test protocol; it is Tier 3 using ISO and Tier 0 using FST. Note that FST data are not available for the Wood Fan stove, which is Tier 4 using the ISO protocol. For PM2.5, only one stove (TSF) is the same tier using both protocols (Tier 0). Figure 2b shows that ISO protocol results are a single higher tier for PM2.5 emissions for the four other stove/fuel combinations tested with comparable ISO and FST data. Therefore, the ISO protocol results in generally lower PM2.5 emissions results compared to the FST. These observed differences between protocols are likely due to the operation of cookstoves at more nearly steady-state conditions per the ISO protocol compared to more transitional conditions per the FST. It is important to note however that FST sampling (for PM and PAHs) excluded start-up and shutdown periods, likely reducing overall emissions metrics for these pollutants.

Comparison of ISO and WBT results for stove/fuel combinations

While tiering is useful, it is limited (e.g., focus on target pollutants only, small number of tiers), and further investigation into differences in data produced using different protocols is warranted. Inclusion of shutdown periods for the ISO protocol was expected to increase CO emissions compared to the WBT, while the startup period in the ISO low-power phase was expected to increase gas- and particle-phase emissions. The relatively longer test phase durations, especially for higher power stoves where the WBT high-power phases would end sooner, were expected to result in high-emitting events being averaged over longer time periods, and hence lower average emissions. Our study was designed to test these assumptions.

We compare performance and emissions metrics between the ISO and WBT protocols using two-way Wilcoxon rank sum tests within stove and fuel combinations (Figures S8S20); this statistical test was chosen over the Student’s t-test due to the relatively limited number of test phase replicates per stove/fuel combination. Statistical significance is defined here as p ≤ 0.05; however, note that many significant but relatively small differences were observed. For ease of discussion across protocols, the first phases of both protocols are referred to as “high-power”, and the third phases as “low-power”; the second phases (ISO medium-power and WBT high-power, hot start) are not compared given their inherent firepower differences.

Figure S8 and Table SS1 (of the SI summary spreadsheet) show box-and-whisker plots and a summary of fuel burning rates for ISO and WBT testing. Fuel burning rate is a metric required by ISO 19867–1 to document test conditions. Only the Pellet stove showed statistically significant (but small) differences in average burning rates between ISO and WBT testing during high- and low-power phases. Pellet stove burning rate and firepower are largely controlled by stove fan speed and combustion chamber diameter as opposed to fuel loading given the nature of fixed-bed combustion.43,44 TSF and wood rocket stove fuel burning rates are largely controlled by fuel feeding by the operator. Average fuel burning rates for all stoves may be affected by differences between protocols in the duration of test phases.

Figure S9 and Table SS2 show modified combustion efficiencies (MCEs) [defined as net CO2/(CO+CO2) on a molar basis]. ISO 19867–1 requires measurement of CO and CO2 for emissions testing, and although MCE is not a required metric, it is recommended as a useful proxy indicator of actual combustion efficiency for evaluating stove performance. During the high-power phase, high CO emissions measured during shutdown with the ISO protocol decrease test-mean MCE. In the low-power phase, though char typically remains from the WBT high-power hot-start phase for natural-draft stoves, it is consumed through flaming combustion and it is again inclusion of the shutdown that likely contributes to lower observed MCEs using the ISO protocol. Median MCEs were lower for all stoves using ISO vs. WBT in both high- and low-power phases, and MCEs were significantly lower with the ISO protocol for all stoves except LPG.

Figures S10S11 and Tables SS3SS4 summarize thermal efficiencies of the stove/fuel combinations. Interestingly, the forced-draft (Pellet and Wood Fan) and Charcoal stoves had slightly higher thermal efficiencies (including energy credit for char) with statistically significant differences with the ISO protocol during the high-power phase compared to WBT, potentially due to additional heat capture by the cooking pot during shutdown. Thermal efficiency is not measured in the WBT simmer phase. Emissions and performance data are analyzed further below, and direct comparisons are made between high- and low-power phases of each protocol.

Figures 3 and 4 plot EFs based on dry fuel mass (EFm) for the ISO and WBT high- and low-power phases; note that the high energy density of LPG results in some EFm values in the same range as those of solid fuel stoves. Previous WBT test results19 utilized particle size distributions (from 14.6–661 nm) from a scanning mobility particle sizer (SMPS; Models 3080 and 3010; TSI; Shoreview, MN). Given the differences in aerosol size ranges and bin widths for the SMPS and the EEPS used in this study, UFP emissions (on a particle number basis) over the ranges of 14.6–100 nm and 14.3–100 nm (herein referred to as 14–100 nm) are reported for the SMPS and EEPS, respectively.

Figure 3.

Figure 3.

Summary of emissions factors for ISO and WBT protocols for pollutants measured in both the present study and by Jetter et al., 19 excluding CO (see Figure 4). Values of test phase replicates are plotted for each test protocol and power level.

Figure 4.

Figure 4.

Summary of CO emission factors for ISO and WBT protocols using data from both the present study and Jetter et al.19 Values of test phase replicates are plotted for each test protocol and power level.

Data generally align between protocols, with differences for each stove/fuel combination discussed in SI Section S8. The influence of protocol on emissions and performance data is expected to be highly dependent upon the type of combustion that occurs with different fuels and stove types (e.g., forced vs. natural draft, batch- vs. continuous-feed). Statistically significant differences between protocols in terms of individual emission metrics (e.g., CO EFm) are also discussed in SI Section S8 and tabulated in Table S7. Figures S12S20 and Tables SS5SS31 show emissions metrics [emission rate (ER), EFd, and EFm] for CO2, CO, THC, CH4, NOx, PM2.5, OC, EC, and UFPs. Note that comparisons for EFd are not available between low-power phases, because useful energy is not accurately measured during the WBT simmer phase.19 Emissions of OC, EC, and NOx were not previously measured for the Wood Fan, Wood Rocket, TSF, and Charcoal stoves.19

Emission mass ratios, CO:CO2 and PM2.5:CO2, versus firepower are plotted in Figure S27. Linear relationships are shown for stove/fuel combinations using both ISO and WBT data. CO:CO2 mass ratio vs. firepower relationships were significant (p ≤ 0.05) and positive for LPG and Charcoal stoves, and significant and negative for Pellet and Wood Fan stoves. PM2.5:CO2 mass ratio vs. firepower relationships were significant and positive for Pellet, Wood Rocket, Wood Traditional, and Charcoal stoves. It is interesting to note the different relationships for some stoves/fuels, such as CO:CO2 increases with firepower for LPG and decreases with firepower for Pellet. This phenomenon is likely due to variation in combustion efficiency over the power range of cookstoves.

Figure S28 plots trends in ERs for UFP vs. PM2.5; only the Wood Fan stove had a significant (and positive) relationship during high-power operation, while both traditional stove types (TSF and Charcoal) had significant (and positive) relationships during low-power operation. Figure S29 plots PM2.5 determined by the QFF (defined as EC plus estimated organic matter (OM) using OM:OC ratios of 1.2 for LPG and charcoal, and 1.5 for wood and pellet stoves)34 vs. PM2.5 as determined by PTFE filters; data between filter sampling methods are in relative agreement (m = 1.08 and 0.85, and R2 = 0.98 and 0.99 for high- and low-power phases, respectively).

Comparison of ISO and FST results

Figure 5 plots pollutant EFd values measured in the present study using the ISO protocol, and EFd values from Bilsback et al.34 using the FST protocol. The FST, like the ISO, probes stove performance and emissions at multiple power levels, aims to provide improved alignment of laboratory and field test data, and has been the focus of recent testing.30,34 Both datasets (ISO and FST) include results for total (i.e., gas- and particle-phase) PAHs. Exposures to ambient and household PAHs have been extensively linked to health effects,45 and PAHs in cookstove particle emissions have been correlated to mutagenicity potential.4648 In addition to the 11 PAHs analyzed in both studies, EFd data for 15 additional PAHs are reported in SI Section S11.

Figure 5.

Figure 5.

Summary of emissions factors for ISO and FST protocols for pollutants measured in both the present study (circle markers) and Bilsback et al.34 (square markers). Values of test phase replicates are plotted for each study. Note that zero values are not shown due to use of log scales.

The data generally indicate consistency between the two protocols, with the following notable observations: (1) pollutant emissions are generally lower for LPG stoves using the ISO protocol (aligning with observed difference in tier levels; Figure 2b), and (2) PAH emissions are generally lower for Pellet and Charcoal stoves using the ISO. Differences in PAH (and PM) data may be due to sampling and analysis method variables. To our knowledge, this study is the first to report PAH emissions using the filter-in-tube method. Bilsback et al.34 sampled gas- and particle-phase PAHs using polyurethane foam plugs and QFFs, respectively, and reported the sum as total PAHs. Additionally, integrated samples for the FST data were collected during the pseudo-steady state periods and excluded startup and shutdown periods, whereas samples in the present study were collected for entire ISO high- and low-power phases. Exclusion of these transitional periods in the FST data likely resulted in lower emissions estimates.

The Wood Rocket stove had the highest mean test phase-specific PAH EFs of the stove/fuel combinations tested (Figure S30; Tables S8S9) when reported on an energy delivered basis, while the TSF had the highest reported on a mass fuel consumed basis. The higher flame temperatures of the Wood Rocket stove compared to the TSF may explain the increased PAH emissions, as observed previously.34 A previous laboratory study of cookstoves10 found total PAH emissions to range between 24–114 mg kg−1 for biomass fuels (fuel wood and rice husk briquettes), effectively overlapping EFm values observed here for the Pellet, Wood Fan, and TSF stoves. A field study of rural wood and coal burning stoves7 determined the mean (± standard deviation) sum of total PAHs (22 compounds) to be 74.2 (± 50.1) mg kg−1, in close agreement with our results for the TSF (81.7 mg kg−1).

Napthalene was the predominant PAH measured for Wood Fan, Wood Rocket, TSF, and Charcoal stoves, while phenanthrene and fluoranthene were predominant for LPG, and phenanthrene and napthalene for the Pellet stove. The importance of measuring total gas- and particle-phase PAHs is apparent, as in our previous study8 measuring only particle phase PAHs, pyrene was found to be predominant for forced- and natural-draft stoves. Previous laboratory studies have determined gas-phase fractions of all PAHs measured to exceed 86%,10 and that for napthalene in particular to exceed ~95%;34 therefore, it is recommended that studies sample for both gas- and particle-phase PAHs. Additionally, gas-phase PAH emissions are important owing to their potential to form secondary organic aerosol (SOA).49

Lower volatility compounds dominate contributions to the PAH matrix for the LPG (ISO high- and low-power) and Pellet (ISO high-power only) stoves (Figure S31). Higher volatility compounds that likely exist in a gas-phase at ambient conditions (e.g., naphthalene) are more prevalent for the biomass stoves (including the Pellet stove at ISO low-power operation). Therefore, the cleaner-burning stoves (LPG at both power levels and Pellet at high-power) emit lower quantities of SOA precursors, in agreement with previous work.49,50 Regarding health effects, the 16 EPA priority PAHs (designated as such for their human toxicological effects) accounted for the majority of total PAH emissions from all stove/fuel combinations. Percent contributions of priority PAHs to total PAHs at high-power operation were highest for the Pellet stove (95%) and lowest for LPG (65%); at low-power operation, the forced-draft stoves (Pellet, Wood Fan) and Wood Rocket had the highest percent composition of priority PAHs (89%), while Charcoal had the lowest (72%). It is important to note however, that health effects will vary based on exposure route (e.g., gas- vs. particle-phase).

All stove/fuel combinations, apart from the Pellet stove, had lower total PAH EFd values during the low- vs. high-power phase (Figure S30; Tables S8S9); there were 3.8-, 1.1-, 3.5-, 3.0-, and 45-fold decreases during low- vs. high-power operation for the LPG, Wood Fan, Wood Rocket, TSF, and Charcoal stoves, respectively. Therefore, the Charcoal stove was most influenced by operation in terms of total PAH emissions. Notably, the Pellet stove had 6.1-fold higher PAH EFd values during low- vs. high-power operation, despite a corresponding 1.9-fold decrease in PM2.5 EFd values. Further research would be needed to better understand PAH formation mechanisms, but during low-power operation, the Pellet stove’s lower fan speed may result in less mixing of combustion gases and less burn-off of gas-phase PAHs in secondary combustion. Interestingly, naphthalene (expected to exist in the gas-phase at ambient and sampling conditions) accounted for 51% of all PAHs by mass for low-power vs. 12% for high-power. Compared with high-power operation, low-power operation of the Pellet stove resulted in both higher overall PAH emissions, as well as a higher proportion of likely SOA precursors.51 Nevertheless, Pellet PAH emissions at both power levels were much lower than Wood Rocket and TSF emissions, as shown in Figure S30.

Study limitations and future work

This study was intended to examine potential implications of the ISO protocol, rather than extensively characterize each stove/fuel combination. Therefore, a limitation of this work is that only one stove model per stove type/family was tested. Future work is needed to explore performance of a range of stove models using the ISO protocol to expand the limited ISO emissions database. An additional limitation of this study was the matching of fuel burning rates to previous WBT data, as arguments have been made for the need to test stoves at “high…even ‘overfueled’ conditions”.30 Given the relationship between emissions and firepower and the tendency for in-field stove users to operate stoves at higher-than-intended power levels, future work is needed to evaluate these stove types at additional power levels.

Study Implications

Although performance in terms of tier ratings was generally similar between ISO and WBT protocols (apart from the LPG and Charcoal stoves for PM2.5), there were statistically significant differences in emissions metrics for most of the stove/fuel combinations tested. In particular, the advanced wood and charcoal combinations were most influenced, due likely to inclusion of the shutdown phase in the ISO protocol; gasifier stoves are sensitive to operating practice and can emit markedly higher CO during shutdown.40,44,52 When compared with the FST, the ISO protocol generally produced lower PM2.5 emissions with tiers typically one level higher (towards better performance) for all stoves tested except for the TSF; tiers for CO are generally unaffected, apart from the Wood Rocket stove. FST PM2.5 emissions results are both higher and more variable than the ISO results, in agreement with previous observations of the FST vs. WBT.30 Implications from this finding are that the ISO protocol can provide more controlled testing conditions for repeatability and comparability of results, while the FST can provide less controlled conditions for better simulating field performance.

Wood Rocket stoves had the highest total PAH EFd values of the stove/fuel combinations tested at both ISO high- and low-power levels. Regarding future development and implementation of advanced biomass stoves, trade-offs among PM mass, UFP number, and total PAH emissions should be considered in terms of their potential health effects. Compared with larger sized particles, UFPs are considered highly reactive and promote increased cellular activity (e.g., inflammation, translocation).5355 Additionally, many PAH are carcinogenic.11

In addition to differences in cooking activity (i.e., boiling water vs. cooking food), key discrepancies in emissions results from controlled laboratory testing can be due to the burn cycle.56 Real-time emissions data show distinct combustion events producing outsized pollutant contributions, especially for advanced biomass stoves. For example, higher CO IERs were observed for pellet stoves for both startup and shutdown phases during field testing in Rwanda.40 Bilsback et al.30 also identified the importance of individual ‘transitional’ combustion events that occur during cooking (e.g., refueling, shutdown). Thus, combining the startup, steady-state operation, and shutdown phases for integrated filter sampling during each test phase is an ISO protocol limitation. However, the ISO protocol is intended for practical widespread use and testing is facilitated by this approach.

Finally, discrete power level emissions metrics may be employed to develop country- or even community-scale EFs based on power level weightings specific to cooking practices (e.g., tendencies to cook at lower vs. higher power). The phases of each protocol to some extent simulate the wide variety of cookstove uses (e.g., high-power represents boiling water or frying, low-power represents simmering). However, significant efforts would be needed to prepare an accurate “regional cooking practices database.” Findings from this study support ongoing implementation and further development of international standards for cookstoves in many countries.

Supplementary Material

SI 2
SI 1

Synopsis.

Results of this study inform further development and implementation of international standards for cookstoves to reduce air pollution and fuel use.

Acknowledgement

Funding of the study was provided by U.S. EPA. W.C. acknowledges support from an appointment to the internship/research participation program at U.S. EPA, administered by ORISE (Oak Ridge Institute for Science and Education) through an interagency agreement between the U.S. DOE (Department of Energy) and EPA. This document has been reviewed in accordance with U.S. EPA policy and approved for publication. The views expressed in this article are those of the authors and do not necessarily reflect the views or policies of the U.S. EPA, ORISE, or DOE. Any mention of trade names, products, or services does not constitute endorsement or recommendation for use. The authors declare no competing financial interest.

Footnotes

Supporting Information

Supporting information and data for cookstoves, fuels, cooking pots, test protocols, detection limits, Voluntary Performance Targets, stove performance metrics, comparisons by pollutant and stove, emission cumulative distribution functions, correlations for PM emissions data, and total PAH emissions. XLS file with emissions and performance data.

References

  • 1.Bonjour S; Adair-Rohani H; Wolf J; Bruce NG; Mehta S; Pruss-Ustun A; Lahiff M; Rehfuess EA; Mishra V; Smith KR, Solid fuel use for household cooking: country and regional estimates for 1980–2010. Environ Health Persp 2013, 121, (7), 784–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Chafe ZA; Brauer M; Klimont Z; Van Dingenen R; Mehta S; Rao S; Riahi K; Dentener F; Smith KR, Household cooking with solid fuels contributes to ambient PM2.5 air pollution and the burden of disease. Environ Health Perspect 2014, 122, (12), 1314–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Bond TC; Doherty SJ; Fahey DW; Forster PM; Berntsen T; DeAngelo BJ; Flanner MG; Ghan S; Kärcher B; Koch D; Kinne S; Kondo Y; Quinn PK; Sarofim MC; Schultz MG; Schulz M; Venkataraman C; Zhang H; Zhang S; Bellouin N; Guttikunda SK; Hopke PK; Jacobson MZ; Kaiser JW; Klimont Z; Lohmann U; Schwarz JP; Shindell D; Storelvmo T; Warren SG; Zender CS, Bounding the role of black carbon in the climate system: A scientific assessment. Journal of Geophysical Research: Atmospheres 2013, 118, (11), 5380–5552. [Google Scholar]
  • 4.Stanaway JD; Afshin A; Gakidou E; Lim SS; Abate D; Abate KH; Abbafati C; Abbasi N; Abbastabar H; Abd-Allah F; Abdela J; Abdelalim A; Abdollahpour I; Abdulkader RS; Abebe M; Abebe Z; Abera SF; Abil OZ; Abraha HN; Abrham AR; Abu-Raddad LJ; Abu-Rmeileh NME; Accrombessi MMK; Acharya D; Acharya P; Adamu AA; Adane AA; Adebayo OM; Adedoyin RA; Adekanmbi V; Ademi Z; Adetokunboh OO; Adib MG; Admasie A; Adsuar JC; Afanvi KA; Afarideh M; Agarwal G; Aggarwal A; Aghayan SA; Agrawal A; Agrawal S; Ahmadi A; Ahmadi M; Ahmadieh H; Ahmed MB; Aichour AN; Aichour I; Aichour MTE; Akbari ME; Akinyemiju T; Akseer N; Al-Aly Z; Al-Eyadhy A; Al-Mekhlafi HM; Alahdab F; Alam K; Alam S; Alam T; Alashi A; Alavian SM; Alene KA; Ali K; Ali SM; Alijanzadeh M; Alizadeh-Navaei R; Aljunid SM; Alkerwi A. a.; Alla F; Alsharif U; Altirkawi K; Alvis-Guzman N; Amare AT; Ammar W; Anber NH; Anderson JA; Andrei CL; Androudi S; Animut MD; Anjomshoa M; Ansha MG; Antó JM; Antonio CAT; Anwari P; Appiah LT; Appiah SCY; Arabloo J; Aremu O; Ärnlöv J; Artaman A; Aryal KK; Asayesh H; Ataro Z; Ausloos M; Avokpaho EFGA; Awasthi A; Ayala Quintanilla BP; Ayer R; Ayuk TB; Azzopardi PS; Babazadeh A; Badali H; Badawi A; Balakrishnan K; Bali AG; Ball K; Ballew SH; Banach M; Banoub JAM; Barac A; Barker-Collo SL; Bärnighausen TW; Barrero LH; Basu S; Baune BT; Bazargan-Hejazi S; Bedi N; Beghi E; Behzadifar M; Behzadifar M; Béjot Y; Bekele BB; Bekru ET; Belay E; Belay YA; Bell ML; Bello AK; Bennett DA; Bensenor IM; Bergeron G; Berhane A; Bernabe E; Bernstein RS; Beuran M; Beyranvand T; Bhala N; Bhalla A; Bhattarai S; Bhutta ZA; Biadgo B; Bijani A; Bikbov B; Bilano V; Bililign N; Bin Sayeed MS; Bisanzio D; Biswas T; Bjørge T; Blacker BF; Bleyer A; Borschmann R; Bou-Orm IR; Boufous S; Bourne R; Brady OJ; Brauer M; Brazinova A; Breitborde NJK; Brenner H; Briko AN; Britton G; Brugha T; Buchbinder R; Burnett RT; Busse R; Butt ZA; Cahill LE; Cahuana-Hurtado L; Campos-Nonato IR; Cárdenas R; Carreras G; Carrero JJ; Carvalho F; Castañeda-Orjuela CA; Castillo Rivas J; Castro F; Catalá-López F; Causey K; Cercy KM; Cerin E; Chaiah Y; Chang H-Y; Chang J-C; Chang K-L; Charlson FJ; Chattopadhyay A; Chattu VK; Chee ML; Cheng C-Y; Chew A; Chiang PP-C; Chimed-Ochir O; Chin KL; Chitheer A; Choi J-YJ; Chowdhury R; Christensen H; Christopher DJ; Chung S-C; Cicuttini FM; Cirillo M; Cohen AJ; Collado-Mateo D; Cooper C; Cooper OR; Coresh J; Cornaby L; Cortesi PA; Cortinovis M; Costa M; Cousin E; Criqui MH; Cromwell EA; Cundiff DK; Daba AK; Dachew BA; Dadi AF; Damasceno AAM; Dandona L; Dandona R; Darby SC; Dargan PI; Daryani A; Das Gupta R; Das Neves J; Dasa TT; Dash AP; Davitoiu DV; Davletov K; De la Cruz-Góngora V; De La Hoz FP; De Leo D; De Neve J-W; Degenhardt L; Deiparine S; Dellavalle RP; Demoz GT; Denova-Gutiérrez E; Deribe K; Dervenis N; Deshpande A; Des Jarlais DC; Dessie GA; Deveber GA; Dey S; Dharmaratne SD; Dhimal M; Dinberu MT; Ding EL; Diro HD; Djalalinia S; Do HP; Dokova K; Doku DT; Doyle KE; Driscoll TR; Dubey M; Dubljanin E; Duken EE; Duncan BB; Duraes AR; Ebert N; Ebrahimi H; Ebrahimpour S; Edvardsson D; Effiong A; Eggen AE; El Bcheraoui C; El-Khatib Z; Elyazar IR; Enayati A; Endries AY; Er B; Erskine HE; Eskandarieh S; Esteghamati A; Estep K; Fakhim H; Faramarzi M; Fareed M; Farid TA; Farinha C. S. E. s.; Farioli A; Faro A; Farvid MS; Farzaei MH; Fatima B; Fay KA; Fazaeli AA; Feigin VL; Feigl AB; Fereshtehnejad S-M; Fernandes E; Fernandes JC; Ferrara G; Ferrari AJ; Ferreira ML; Filip I; Finger JD; Fischer F; Foigt NA; Foreman KJ; Fukumoto T; Fullman N; Fürst T; Furtado JM; Futran ND; Gall S; Gallus S; Gamkrelidze A; Ganji M; Garcia-Basteiro AL; Gardner WM; Gebre AK; Gebremedhin AT; Gebremichael TG; Gelano TF; Geleijnse JM; Geramo YCD; Gething PW; Gezae KE; Ghadimi R; Ghadiri K; Ghasemi Falavarjani K; Ghasemi-Kasman M; Ghimire M; Ghosh R; Ghoshal AG; Giampaoli S; Gill PS; Gill TK; Gillum RF; Ginawi IA; Giussani G; Gnedovskaya EV; Godwin WW; Goli S; Gómez-Dantés H; Gona PN; Gopalani SV; Goulart AC; Grada A; Grams ME; Grosso G; Gugnani HC; Guo Y; Gupta R; Gupta R; Gupta T; Gutiérrez RA; Gutiérrez-Torres DS; Haagsma JA; Habtewold TD; Hachinski V; Hafezi-Nejad N; Hagos TB; Hailegiyorgis TT; Hailu GB; Haj-Mirzaian A; Haj-Mirzaian A; Hamadeh RR; Hamidi S; Handal AJ; Hankey GJ; Hao Y; Harb HL; Harikrishnan S; Haro JM; Hassankhani H; Hassen HY; Havmoeller R; Hawley CN; Hay SI; Hedayatizadeh-Omran A; Heibati B; Heidari B; Heidari M; Hendrie D; Henok A; Heredia-Pi I; Herteliu C; Heydarpour F; Heydarpour S; Hibstu DT; Higazi TB; Hilawe EH; Hoek HW; Hoffman HJ; Hole MK; Homaie Rad E; Hoogar P; Hosgood HD; Hosseini SM; Hosseinzadeh M; Hostiuc M; Hostiuc S; Hoy DG; Hsairi M; Hsiao T; Hu G; Hu H; Huang JJ; Hussen MA; Huynh CK; Iburg KM; Ikeda N; Ilesanmi OS; Iqbal U; Irvani SSN; Irvine CMS; Islam SMS; Islami F; Jackson MD; Jacobsen KH; Jahangiry L; Jahanmehr N; Jain SK; Jakovljevic M; James SL; Jassal SK; Jayatilleke AU; Jeemon P; Jha RP; Jha V; Ji JS; Jonas JB; Jonnagaddala J; Jorjoran Shushtari Z; Joshi A; Jozwiak JJ; Jürisson M; Kabir Z; Kahsay A; Kalani R; Kanchan T; Kant S; Kar C; Karami M; Karami Matin B; Karch A; Karema C; Karimi N; Karimi SM; Kasaeian A; Kassa DH; Kassa GM; Kassa TD; Kassebaum NJ; Katikireddi SV; Kaul A; Kawakami N; Kazemi Z; Karyani AK; Kefale AT; Keiyoro PN; Kemp GR; Kengne AP; Keren A; Kesavachandran CN; Khader YS; Khafaei B; Khafaie MA; Khajavi A; Khalid N; Khalil IA; Khan G; Khan MS; Khan MA; Khang Y-H; Khater MM; Khazaei M; Khazaie H; Khoja AT; Khosravi A; Khosravi MH; Kiadaliri AA; Kiirithio DN; Kim C-I; Kim D; Kim Y-E; Kim YJ; Kimokoti RW; Kinfu Y; Kisa A; Kissimova-Skarbek K; Kivimäki M; Knibbs LD; Knudsen AKS; Kochhar S; Kokubo Y; Kolola T; Kopec JA; Kosen S; Koul PA; Koyanagi A; Kravchenko MA; Krishan K; Krohn KJ; Kromhout H; Kuate Defo B; Kucuk Bicer B; Kumar GA; Kumar M; Kuzin I; Kyu HH; Lachat C; Lad DP; Lad SD; Lafranconi A; Lalloo R; Lallukka T; Lami FH; Lang JJ; Lansingh VC; Larson SL; Latifi A; Lazarus JV; Lee PH; Leigh J; Leili M; Leshargie CT; Leung J; Levi M; Lewycka S; Li S; Li Y; Liang J; Liang X; Liao Y; Liben ML; Lim L-L; Linn S; Liu S; Lodha R; Logroscino G; Lopez AD; Lorkowski S; Lotufo PA; Lozano R; Lucas TCD; Lunevicius R; Ma S; Macarayan ERK; Machado ÍE; Madotto F; Mai HT; Majdan M; Majdzadeh R; Majeed A; Malekzadeh R; Malta DC; Mamun AA; Manda A-L; Manguerra H; Mansournia MA; Mantovani LG; Maravilla JC; Marcenes W; Marks A; Martin RV; Martins SCO; Martins-Melo FR; März W; Marzan MB; Massenburg BB; Mathur MR; Mathur P; Matsushita K; Maulik PK; Mazidi M; McAlinden C; McGrath JJ; McKee M; Mehrotra R; Mehta KM; Mehta V; Meier T; Mekonnen FA; Melaku YA; Melese A; Melku M; Memiah PTN; Memish ZA; Mendoza W; Mengistu DT; Mensah GA; Mensink GBM; Mereta ST; Meretoja A; Meretoja TJ; Mestrovic T; Mezgebe HB; Miazgowski B; Miazgowski T; Millear AI; Miller TR; Miller-Petrie MK; Mini GK; Mirarefin M; Mirica A; Mirrakhimov EM; Misganaw AT; Mitiku H; Moazen B; Mohajer B; Mohammad KA; Mohammadi M; Mohammadifard N; Mohammadnia-Afrouzi M; Mohammed S; Mohebi F; Mokdad AH; Molokhia M; Momeniha F; Monasta L; Moodley Y; Moradi G; Moradi-Lakeh M; Moradinazar M; Moraga P; Morawska L; Morgado-Da-Costa J; Morrison SD; Moschos MM; Mouodi S; Mousavi SM; Mozaffarian D; Mruts KB; Muche AA; Muchie KF; Mueller UO; Muhammed OS; Mukhopadhyay S; Muller K; Musa KI; Mustafa G; Nabhan AF; Naghavi M; Naheed A; Nahvijou A; Naik G; Naik N; Najafi F; Nangia V; Nansseu JR; Nascimento BR; Neal B; Neamati N; Negoi I; Negoi RI; Neupane S; Newton CRJ; Ngunjiri JW; Nguyen AQ; Nguyen G; Nguyen HT; Nguyen HLT; Nguyen HT; Nguyen M; Nguyen NB; Nichols E; Nie J; Ningrum DNA; Nirayo YL; Nishi N; Nixon MR; Nojomi M; Nomura S; Norheim OF; Noroozi M; Norrving B; Noubiap JJ; Nouri HR; Nourollahpour Shiadeh M; Nowroozi MR; Nsoesie EO; Nyasulu PS; Obermeyer CM; Odell CM; Ofori-Asenso R; Ogbo FA; Oh I-H; Oladimeji O; Olagunju AT; Olagunju TO; Olivares PR; Olsen HE; Olusanya BO; Olusanya JO; Ong KL; Ong SK; Oren E; Orpana HM; Ortiz A; Ota E; Otstavnov SS; Øverland S; Owolabi MO; P A M; Pacella R; Pakhare AP; Pakpour AH; Pana A; Panda-Jonas S; Park E-K; Parry CDH; Parsian H; Patel S; Pati S; Patil ST; Patle A; Patton GC; Paudel D; Paulson KR; Paz Ballesteros WC; Pearce N; Pereira A; Pereira DM; Perico N; Pesudovs K; Petzold M; Pham HQ; Phillips MR; Pillay JD; Piradov MA; Pirsaheb M; Pischon T; Pishgar F; Plana-Ripoll O; Plass D; Polinder S; Polkinghorne KR; Postma MJ; Poulton R; Pourshams A; Poustchi H; Prabhakaran D; Prakash S; Prasad N; Purcell CA; Purwar MB; Qorbani M; Radfar A; Rafay A; Rafiei A; Rahim F; Rahimi Z; Rahimi-Movaghar A; Rahimi-Movaghar V; Rahman M; Rahman M. H. u.; Rahman MA; Rai RK; Rajati F; Rajsic S; Raju SB; Ram U; Ranabhat CL; Ranjan P; Rath GK; Rawaf DL; Rawaf S; Reddy KS; Rehm CD; Rehm J; Reiner RC; Reitsma MB; Remuzzi G; Renzaho AMN; Resnikoff S; Reynales-Shigematsu LM; Rezaei S; Ribeiro ALP; Rivera JA; Roba KT; Rodríguez-Ramírez S; Roever L; Román Y; Ronfani L; Roshandel G; Rostami A; Roth GA; Rothenbacher D; Roy A; Rubagotti E; Rushton L; Sabanayagam C; Sachdev PS; Saddik B; Sadeghi E; Saeedi Moghaddam S; Safari H; Safari Y; Safari-Faramani R; Safdarian M; Safi S; Safiri S; Sagar R; Sahebkar A; Sahraian MA; Sajadi HS; Salam N; Salamati P; Saleem Z; Salimi Y; Salimzadeh H; Salomon JA; Salvi DD; Salz I; Samy AM; Sanabria J; Sanchez-Niño MD; Sánchez-Pimienta TG; Sanders T; Sang Y; Santomauro DF; Santos IS; Santos JV; Santric Milicevic MM; Sao Jose BP; Sardana M; Sarker AR; Sarmiento-Suárez R; Sarrafzadegan N; Sartorius B; Sarvi S; Sathian B; Satpathy M; Sawant AR; Sawhney M; Saylan M; Sayyah M; Schaeffner E; Schmidt MI; Schneider IJC; Schöttker B; Schutte AE; Schwebel DC; Schwendicke F; Scott JG; Seedat S; Sekerija M; Sepanlou SG; Serre ML; Serván-Mori E; Seyedmousavi S; Shabaninejad H; Shaddick G; Shafieesabet A; Shahbazi M; Shaheen AA; Shaikh MA; Shamah Levy T; Shams-Beyranvand M; Shamsi M; Sharafi H; Sharafi K; Sharif M; Sharif-Alhoseini M; Sharifi H; Sharma J; Sharma M; Sharma R; She J; Sheikh A; Shi P; Shibuya K; Shiferaw MS; Shigematsu M; Shin M-J; Shiri R; Shirkoohi R; Shiue I; Shokraneh F; Shoman H; Shrime MG; Shupler MS; Si S; Siabani S; Sibai AM; Siddiqi TJ; Sigfusdottir ID; Sigurvinsdottir R; Silva DAS; Silva JP; Silveira DGA; Singh JA; Singh NP; Singh V; Sinha DN; Skiadaresi E; Skirbekk V; Smith DL; Smith M; Sobaih BH; Sobhani S; Somayaji R; Soofi M; Sorensen RJD; Soriano JB; Soyiri IN; Spinelli A; Sposato LA; Sreeramareddy CT; Srinivasan V; Starodubov VI; Steckling N; Stein DJ; Stein MB; Stevanovic G; Stockfelt L; Stokes MA; Sturua L; Subart ML; Sudaryanto A; Sufiyan M. a. B.; Sulo G; Sunguya BF; Sur PJ; Sykes BL; Szoeke CEI; Tabarés-Seisdedos R; Tabuchi T; Tadakamadla SK; Takahashi K; Tandon N; Tassew SG; Tavakkoli M; Taveira N; Tehrani-Banihashemi A; Tekalign TG; Tekelemedhin SW; Tekle MG; Temesgen H; Temsah M-H; Temsah O; Terkawi AS; Tessema B; Teweldemedhin M; Thankappan KR; Theis A; Thirunavukkarasu S; Thomas HJ; Thomas ML; Thomas N; Thurston GD; Tilahun B; Tillmann T; To QG; Tobollik M; Tonelli M; Topor-Madry R; Torre AE; Tortajada-Girbés M; Touvier M; Tovani-Palone MR; Towbin JA; Tran BX; Tran KB; Truelsen TC; Truong NT; Tsadik AG; Tudor Car L; Tuzcu EM; Tymeson HD; Tyrovolas S; Ukwaja KN; Ullah I; Updike RL; Usman MS; Uthman OA; Vaduganathan M; Vaezi A; Valdez PR; Van Donkelaar A; Varavikova E; Varughese S; Vasankari TJ; Venkateswaran V; Venketasubramanian N; Villafaina S; Violante FS; Vladimirov SK; Vlassov V; Vollset SE; Vos T; Vosoughi K; Vu GT; Vujcic IS; Wagnew FS; Waheed Y; Waller SG; Walson JL; Wang Y; Wang Y; Wang Y-P; Weiderpass E; Weintraub RG; Weldegebreal F; Werdecker A; Werkneh AA; West JJ; Westerman R; Whiteford HA; Widecka J; Wijeratne T; Winkler AS; Wiyeh AB; Wiysonge CS; Wolfe CDA; Wong TY; Wu S; Xavier D; Xu G; Yadgir S; Yadollahpour A; Yahyazadeh Jabbari SH; Yamada T; Yan LL; Yano Y; Yaseri M; Yasin YJ; Yeshaneh A; Yimer EM; Yip P; Yisma E; Yonemoto N; Yoon S-J; Yotebieng M; Younis MZ; Yousefifard M; Yu C; Zaidi Z; Zaman SB; Zamani M; Zavala-Arciniega L; Zhang AL; Zhang H; Zhang K; Zhou M; Zimsen SRM; Zodpey S; Murray CJL, Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet 2018, 392, (10159), 1923–1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lacey FG; Henze DK; Lee CJ; van Donkelaar A; Martin RV, Transient climate and ambient health impacts due to national solid fuel cookstove emissions. Proc Natl Acad Sci U S A 2017, 114, (6), 1269–1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Butt EW; Rap A; Schmidt A; Scott CE; Pringle KJ; Reddington CL; Richards NAD; Woodhouse MT; Ramirez-Villegas J; Yang H; Vakkari V; Stone EA; Rupakheti M; Praveen S, P.; van Zyl G, P.; P. Beukes J; Josipovic M; Mitchell EJS; Sallu SM; Forster PM; Spracklen DV, The impact of residential combustion emissions on atmospheric aerosol, human health, and climate. Atmospheric Chemistry and Physics 2016, 16, (2), 873–905. [Google Scholar]
  • 7.Shen GF; Chen YC; Xue CY; Lin N; Huang Y; Shen HZ; Wang YL; Li TC; Zhang YY; Su S; Huangfu YB; Zhang WH; Chen XF; Liu GQ; Liu WX; Wang XL; Wong MH; Tao S, Pollutant Emissions from Improved Coal- and Wood-Fuelled Cookstoves in Rural Households. Environmental Science & Technology 2015, 49, (11), 6590–6598. [DOI] [PubMed] [Google Scholar]
  • 8.Shen GF; Preston W; Ebersviller SM; Williams C; Faircloth JW; Jetter JJ; Hays MD, Polycyclic Aromatic Hydrocarbons in Fine Particulate Matter Emitted from Burning Kerosene, Liquid Petroleum Gas, and Wood Fuels in Household Cookstoves. Energy & Fuels 2017, 31, (3), 3081–3090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lai A; Shan M; Deng M; Carter E; Yang X; Baumgartner J; Schauer J, Differences in chemical composition of PM2.5 emissions from traditional versus advanced combustion (semi-gasifier) solid fuel stoves. Chemosphere 2019, 233, 852–861. [DOI] [PubMed] [Google Scholar]
  • 10.Oanh NTK; Albina DO; Ping L; Wang XK, Emission of particulate matter and polycyclic aromatic hydrocarbons from select cookstove-fuel systems in Asia. Biomass Bioenerg 2005, 28, (6), 579–590. [Google Scholar]
  • 11.World Health Organization International Agency for Research on Cancer IARC Monographs on the Evaluation of Carcinogenic Risks to Humans - Household Use of Solid Fuels and High-Temperature Frying; 2010. [PMC free article] [PubMed]
  • 12.Apte JS; Brauer M; Cohen AJ; Ezzati M; Pope CA, Ambient PM2.5 Reduces Global and Regional Life Expectancy. Environmental Science & Technology Letters 2018, 5, (9), 546–551. [Google Scholar]
  • 13.Landrigan PJ; Fuller R; Acosta NJR; Adeyi O; Arnold R; Basu N; Baldé AB; Bertollini R; Bose-O’Reilly S; Boufford JI; Breysse PN; Chiles T; Mahidol C; Coll-Seck AM; Cropper ML; Fobil J; Fuster V; Greenstone M; Haines A; Hanrahan D; Hunter D; Khare M; Krupnick A; Lanphear B; Lohani B; Martin K; Mathiasen KV; McTeer MA; Murray CJL; Ndahimananjara JD; Perera F; Potočnik J; Preker AS; Ramesh J; Rockström J; Salinas C; Samson LD; Sandilya K; Sly PD; Smith KR; Steiner A; Stewart RB; Suk WA; van Schayck OCP; Yadama GN; Yumkella K; Zhong M, The Lancet Commission on pollution and health. The Lancet 2018, 391, (10119), 462–512. [DOI] [PubMed] [Google Scholar]
  • 14.Kodros JK; Carter E; Brauer M; Volckens J; Bilsback KR; L’Orange C; Johnson M; Pierce JR, Quantifying the Contribution to Uncertainty in Mortality Attributed to Household, Ambient, and Joint Exposure to PM2.5 From Residential Solid Fuel Use. GeoHealth 2018, 2, (1), 25–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Rosenthal J; Quinn A; Grieshop AP; Pillarisetti A; Glass RI, Clean cooking and the SDGs: Integrated analytical approaches to guide energy interventions for health and environment goals(). Energy Sustain Dev 2018, 42, 152–159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Clean Cooking Alliance Delivering on the Sustainable Development Goals Through Clean Cooking. https://www.cleancookingalliance.org/feature/delivering-on-the-sustainable-development-goals-through-clean-cooking.html (Accessed Feb 28 2020).
  • 17.Bailis R; Berrueta V; Chengappa C; Dutta K; Edwards R; Masera O; Still D; Smith KR, Performance testing for monitoring improved biomass stove interventions: experiences of the Household Energy and Health Project. Energy for Sustainable Development 2007, XI, (2), 57–70. [Google Scholar]
  • 18.Arora P; Jain S, A review of chronological development in cookstove assessment methods: Challenges and way forward. Renew Sust Energ Rev 2016, 55, 203–220. [Google Scholar]
  • 19.Jetter J; Zhao YX; Smith KR; Khan B; Yelverton T; DeCarlo P; Hays MD, Pollutant Emissions and Energy Efficiency under Controlled Conditions for Household Biomass Cookstoves and Implications for Metrics Useful in Setting International Test Standards. Environmental Science & Technology 2012, 46, (19), 10827–10834. [DOI] [PubMed] [Google Scholar]
  • 20.Jetter JJ; Kariher P, Solid-fuel household cook stoves: Characterization of performance and emissions. Biomass and Bioenergy 2009, 33, (2), 294–305. [Google Scholar]
  • 21.MacCarty N; Still D; Ogle D, Fuel use and emissions performance of fifty cooking stoves in the laboratory and related benchmarks of performance. Energy for Sustainable Development 2010, 14, (3), 161–171. [Google Scholar]
  • 22.Clean Cooking Alliance The Clean Cooking Catalog: Product and Performance Data for the Clean Cooking Sector. http://catalog.cleancookstoves.org/ (Accessed Mar 15 2020).
  • 23.Mortimer KJ; Ndamala C; Naunje AW; Malava J; Katundu C; Weston W; Havens D; Pope D; Bruce N; Nyirenda M; Wang D; Crampin A; Grigg J; Balmes JR; Gordon S, A Cleaner Burning Biomass-Fueled Cookstove Intervention To Prevent Pneumonia In Children Under 5 Years Old In Rural Malawi (caps): A Cluster Randomised Controlled Trial. Am J Resp Crit Care 2017, 195, A5975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Grieshop AP; Marshall JD; Kandlikar M, Health and climate benefits of cookstove replacement options. Energy Policy 2011, 39, (12), 7530–7542. [Google Scholar]
  • 25.Lacey F; Henze D, Global climate impacts of country-level primary carbonaceous aerosol from solid-fuel cookstove emissions. Environmental Research Letters 2015, 10, (11), 114003. [Google Scholar]
  • 26.Anenberg SC; Henze DK; Lacey F; Irfan A; Kinney P; Kleiman G; Pillarisetti A, Air pollution-related health and climate benefits of clean cookstove programs in Mozambique. Environmental Research Letters 2017, 12, (2). [Google Scholar]
  • 27.Roden CA; Bond TC; Conway S; Osorto Pinel AB; MacCarty N; Still D, Laboratory and field investigations of particulate and carbon monoxide emissions from traditional and improved cookstoves. Atmospheric Environment 2009, 43, (6), 1170–1181. [Google Scholar]
  • 28.Wathore R; Mortimer K; Grieshop AP, In-Use Emissions and Estimated Impacts of Traditional, Natural- and Forced-Draft Cookstoves in Rural Malawi. Environmental Science & Technology 2017, 51, (3), 1929–1938. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Coffey ER; Muvandimwe D; Hagar Y; Wiedinmyer C; Kanyomse E; Piedrahita R; Dickinson KL; Oduro A; Hannigan MP, New Emission Factors and Efficiencies from in-Field Measurements of Traditional and Improved Cookstoves and Their Potential Implications. Environ Sci Technol 2017, 51, (21), 12508–12517. [DOI] [PubMed] [Google Scholar]
  • 30.Bilsback KR; Eilenberg SR; Good N; Heck L; Johnson M; Kodros JK; Lipsky EM; L’Orange C; Pierce JR; Robinson AL; Subramanian R; Tryner J; Wilson A; Volckens J, The Firepower Sweep Test: A novel approach to cookstove laboratory testing. Indoor Air 2018, 28, (6), 936–949. [DOI] [PubMed] [Google Scholar]
  • 31.Makonese T; Pemberton-Pigott C; Robinson J; Kimemia D; Annegarn H, Performance evaluation and emission characterisation of three kerosene stoves using a Heterogeneous Stove Testing Protocol (HTP). Energy for Sustainable Development 2012, 16, (3), 344–351. [Google Scholar]
  • 32.Johnson M; Edwards R; Berrueta V; Masera O, New Approaches to Performance Testing of Improved Cookstoves. Environmental Science & Technology 2010, 44, (1), 368–374. [DOI] [PubMed] [Google Scholar]
  • 33.International Organization for Standardization, Clean Cookstoves and Clean Cooking Solutions - Harmonized Laboratory Test Protocols - Part 3: Voluntary performance targets for cookstoves based on laboratory testing (TR 19867–3). 2018.
  • 34.Bilsback KR; Dahlke J; Fedak KM; Good N; Hecobian A; Herckes P; L’Orange C; Mehaffy J; Sullivan A; Tryner J; Van Zyl L; Walker ES; Zhou Y; Pierce JR; Wilson A; Peel JL; Volckens J, A Laboratory Assessment of 120 Air Pollutant Emissions from Biomass and Fossil Fuel Cookstoves. Environ Sci Technol 2019, 53, (12), 7114–7125. [DOI] [PubMed] [Google Scholar]
  • 35.International Organization for Standardization, Clean Cookstoves and Clean Cooking Solutions - Harmonized Laboratory Test Protocols - Part 1: Standard Test Sequence for Emissions and Performance, Safety and Durability. 2018; Vol. 19867–3. [Google Scholar]
  • 36.Subramanian R; Khlystov AY; Cabada JC; Robinson AL, Positive and Negative Artifacts in Particulate Organic Carbon Measurements with Denuded and Undenuded Sampler Configurations Special Issue ofAerosol Science and Technologyon Findings from the Fine Particulate Matter Supersites Program. Aerosol Science and Technology 2004, 38, 27–48. [Google Scholar]
  • 37.National Institute for Occupational Safety and Health, Method 5040 Diesel Particulate Matter (as Elemental Carbon). 2003, (3). [Google Scholar]
  • 38.Smith KR; Khalil MAK; Rasmussen RA; Thorneloe SA; Manegdeg F; Apte M, Greenhouse gases from biomass and fossil fuel stoves in developing countries: A Manila pilot study. Chemosphere 1993, 26, (1), 479–505. [Google Scholar]
  • 39.Preble CV; Hadley OL; Gadgil AJ; Kirchstetter TW, Emissions and climate-relevant optical properties of pollutants emitted from a three-stone fire and the Berkeley-Darfur stove tested under laboratory conditions. Environ Sci Technol 2014, 48, (11), 6484–91. [DOI] [PubMed] [Google Scholar]
  • 40.Champion WM; Grieshop AP, Pellet-Fed Gasifier Stoves Approach Gas-Stove Like Performance during in-Home Use in Rwanda. Environmental Science & Technology 2019, 53, (11), 6570–6579. [DOI] [PubMed] [Google Scholar]
  • 41.Shen GF; Hays MD; Smith KR; Williams C; Faircloth JW; Jetter JJ, Evaluating the Performance of Household Liquefied Petroleum Gas Cookstoves. Environmental Science & Technology 2018, 52, (2), 904–915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Helsel D, Much ado about next to nothing: incorporating nondetects in science. Ann Occup Hyg 2010, 54, (3), 257–62. [DOI] [PubMed] [Google Scholar]
  • 43.Tryner J; Volckens J; Marchese AJ, Effects of operational mode on particle size and number emissions from a biomass gasifier cookstove. Aerosol Science and Technology 2018, 52, (1), 87–97. [Google Scholar]
  • 44.Tryner J; Tillotson JW; Baumgardner ME; Mohr JT; DeFoort MW; Marchese AJ, The Effects of Air Flow Rates, Secondary Air Inlet Geometry, Fuel Type, and Operating Mode on the Performance of Gasifier Cookstoves. Environmental Science & Technology 2016, 50, (17), 9754–9763. [DOI] [PubMed] [Google Scholar]
  • 45.Kim KH; Jahan SA; Kabir E; Brown RJ, A review of airborne polycyclic aromatic hydrocarbons (PAHs) and their human health effects. Environ Int 2013, 60, 71–80. [DOI] [PubMed] [Google Scholar]
  • 46.Champion WM; Warren SH; Kooter IM; Preston W; Krantz QT; DeMarini DM; Jetter JJ, Mutagenicity- and pollutant-emission factors of pellet-fueled gasifier cookstoves: Comparison with other combustion sources. Sci Total Environ 2020, 739, 139488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Shen GF, Mutagenicity of particle emissions from solid fuel cookstoves: A literature review and research perspective. Environmental Research 2017, 156, 761–769. [DOI] [PubMed] [Google Scholar]
  • 48.Mutlu E; Warren SH; Ebersviller SM; Kooter IM; Schmid JE; Dye JA; Linak WP; Gilmour MI; Jetter JJ; Higuchi M; DeMarini DM, Mutagenicity and Pollutant Emission Factors of Solid-Fuel Cookstoves: Comparison with Other Combustion Sources. Environ Health Persp 2016, 124, (7), 974–982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Reece SM; Sinha A; Grieshop AP, Primary and Photochemically Aged Aerosol Emissions from Biomass Cookstoves: Chemical and Physical Characterization. Environ Sci Technol 2017, 51, (16), 9379–9390. [DOI] [PubMed] [Google Scholar]
  • 50.Sinha A; Islam MM; Grieshop A, Influence of Stove, Fuel, and Oxidation Flow Reactor Conditions on Aging of Laboratory-Generated Cookstove Emissions. ACS Earth and Space Chemistry 2021, 5, (6), 1575–1590. [Google Scholar]
  • 51.Bruns EA; El Haddad I; Slowik JG; Kilic D; Klein F; Baltensperger U; Prevot AS, Identification of significant precursor gases of secondary organic aerosols from residential wood combustion. Sci Rep 2016, 6, 27881. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kirch T; Birzer CH; Medwell PR; Holden L, The role of primary and secondary air on wood combustion in cookstoves. International Journal of Sustainable Energy 2018, 37, (3), 268–277. [Google Scholar]
  • 53.Oberdorster G; Oberdorster E; Oberdorster J, Nanotoxicology: an emerging discipline evolving from studies of ultrafine particles. Environ Health Perspect 2005, 113, (7), 823–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Oberdorster G; Sharp Z; Atudorei V; Elder A; Gelein R; Kreyling W; Cox C, Translocation of inhaled ultrafine particles to the brain. Inhal Toxicol 2004, 16, (6–7), 437–45. [DOI] [PubMed] [Google Scholar]
  • 55.Li N; Sioutas C; Cho A; Schmitz D; Misra C; Sempf J; Wang M; Oberley T; Froines J; Nel A, Ultrafine particulate pollutants induce oxidative stress and mitochondrial damage. Environ Health Perspect 2003, 111, (4), 455–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Prasad KK; Sangen E; Visser P, Woodburning Cookstoves. In Advances in Heat Transfer, Hartnett JP; Irvine TF, Eds. Elsevier: 1985; Vol. 17, pp 159–317. [Google Scholar]

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