(662b) Applying Emission Estimations, Pollution Controls, and Sustainability Evaluations for Generating Chemical Life Cycle Inventories
AIChE Annual Meeting
2017
2017 Annual Meeting
Environmental Division
Going to a Decision Point in Sustainability Analysis
Thursday, November 2, 2017 - 8:25am to 8:50am
Moreover, the GREENSCOPE (Gauging Reaction Effectiveness for the Environmental Sustainability of Chemistries with a multi-Objective Process Evaluator) tool is implemented for executing a sustainability assessment when designing and evaluating a chemical manufacturing stage. The GREENSCOPE sustainability evaluation employs environmental, economics, energy, and efficiency indicators. In addition, as one of the main features of GREENSCOPE, a LCI for the chemical synthesis route is obtained. This LCI is an important step in developing life cycle assessments, which determine environmental, economic, and social effects throughout a productâs life cycle stages.
The developed methodologies are then applied to a case study of a bio-based chemical production and energy recovery process. The results show improvements in the sustainability evaluation and LCI quantification when compared to commonly used process simulator results. Therefore, the inclusion of inputs, controlled, and uncontrolled emission models enhance the quantitative sustainability evaluation and LCI results, and the subsequent LCAs of chemicals during their manufacturing life cycle stages.
The views expressed in this presentation are those of the authors and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
[1] Cashman et al. (2016). âMining Available Data from the United States Environmental Protection Agency to Support Rapid Life Cycle Inventory Modeling of Chemical Manufacturing,â Environ. Sci. Technol., 50, 9013-9025.
[2] Smith et al. (2017). âCoupling Computer-Aided Process Simulation and Estimations of Emissions and Land Use for Rapid Life Cycle Inventory Modeling,â ACS Sustainable Chem. Eng. (Accepted).
[3] Li et al. (2017). âProcess and pollution control for sustainability and LCI: application to a bio-based gasification system,â Clean Technol. Envir. (to be submitted).