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. 2021 Sep 10;24(10):103114. doi: 10.1016/j.isci.2021.103114

Table 5.

Summary of tools and techniques that can be implemented for solvent recovery

Methodology/Tool Advantages Deficiencies Reference
Tools

GREET Able to capture the emissions associated with the transportation system used by industry. Able to compare detailed alternate renewable sources of energy Only geared toward LCIs for vehicular and fuel combinations (Argonne GREET Model, 2021)
GREENSCOPE Able to evaluate process sustainability in four main areas namely: material efficiency, energy, economics, and environment. Can be applied at both unit and system level Over 139 indicators. Need expert interpretation of results for potential applications (Ruiz-Mercado et al., 2012a, 2012b, 2013)
SimaPro Used to estimate the life cycle inventories and impact assessment of processes. Helps in comparative assessment of alternate processes. Captures detailed health, climate, and resource impacts Lack of detailed ecological analysis of the process (Goedkoop et al., 2016)
REMADE Simple and easy to use. Able to evaluate the impact change of the recycling process Designed for energy and CO2-equivalent evaluation in plastics recycling (REMADE Institute, 2020)

Methodology

Life Cycle Assessment (LCA) Estimates the emissions associated with processes Data gathering is tedious. Focuses only on emissions (ISO 14040, 1997; ISO 14044, 2006)
Sustainable Process Index (SPI) Estimates the ecological burden of processes. Detailed environmental cost of the process. Social impacts of processes are inherent during the estimation process Not able to capture detailed energy demand of the process (Krotscheck and Narodoslawsky, 1996; Narodoslawsky and Krotscheck, 1995)
Emergy Presents an approach to estimating the available energy needed for the process. Helps in the determination of the economic pressure associated with imported resources for a process Lack of detailed models for transformity estimation. Data collection and handling are laborious (Odum, 1988; Odum and Odum, 2000; Ulgiati et al., 1994)
Techno-Ecological Synergy (TES) Presents an approach to estimate the ecological overshoot of the process and the interdependencies of human activities and nature. Considers spatial distribution of ecosystem resources Unable to encapsulate the dynamics of the ecological system (Bakshi et al., 2015)