Title: Multiobjective Modular Biorefinery Configuration under Uncertainty

Journal Article · · Industrial and Engineering Chemistry Research

With increasing interest in using biomass as a raw material for fuel, the development of biorefineries is an active area of research. However, increasing market competition, uncertainty, and environmental concerns are a few of the challenges that need to be addressed. In this work, mathematical optimization formulations are proposed to address these challenges simultaneously. A multiobjective deterministic optimization framework is proposed to address economic and environmental objectives. A two-stage stochastic optimization framework is proposed to account for uncertainties in material flow and product yields. To model the environmental objective, an environmental risk metric is proposed. Finally, as modularization is gaining popularity in the process industry due to its ability to save capital cost because of standardization and reduce time to market, a formulation for simultaneously achieving modular process design and biorefinery configuration is proposed. Furthermore, the results demonstrate the efficacy of the proposed approach.

Research Organization:
RAPID Manufacturing Institute, New York, NY (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
EE0007888
OSTI ID:
2007313
Journal Information:
Industrial and Engineering Chemistry Research, Journal Name: Industrial and Engineering Chemistry Research Journal Issue: 35 Vol. 60; ISSN 0888-5885
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

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