TY - JOUR
T1 - BioSTEAM
T2 - A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty
AU - Cortes-Peña, Yoel
AU - Kumar, Deepak
AU - Singh, Vijay
AU - Guest, Jeremy S.
N1 - Funding Information:
We would like to thank Lisa Pardini and Bugrah Mirsat Sahin for their help on coding design and cost algorithms for heat exchangers and pumps. We would also like to thank Dr. Rui Shi, Dr. Yalin Li, Jennifer DeBellis, and Dr. Dongwon Ki for testing BioSTEAM and reporting in detail any issues with the software. Y.C.-P. was partially supported by the Support for Under-Represented Groups in Engineering (SURGE) program at the University of Illinois at Urbana-Champaign (UIUC). This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE—1746047. This work was funded by the DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Number DE-SC0018420). Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the U.S. Department of Energy.
Publisher Copyright:
Copyright © 2020 American Chemical Society.
PY - 2020/3/2
Y1 - 2020/3/2
N2 - BioSTEAM, the Biorefinery Simulation and Techno-Economic Analysis Modules, is an open-source steady-state process simulator in Python that enables biorefinery design, simulation, and techno-economic analysis (TEA) under uncertainty through its fast and flexible framework. By incorporating uncertainty as a key feature, BioSTEAM aims to evaluate the landscape of design decisions and scenarios for conceptual and emerging technologies. The applicability of BioSTEAM is demonstrated here in the context of (i) the co-production of biodiesel and ethanol from lipid-cane and (ii) the production of second-generation ethanol from corn stover. Economic metrics evaluated in BioSTEAM closely match benchmark designs modeled in proprietary software (SuperPro Designer, Aspen Plus). Through the automation of unit operation sizing and characterization of utility requirements, process waste streams, and make-up water usage, BioSTEAM also generates data needed for environmental sustainability analyses (e.g., via life cycle assessment). Ultimately, BioSTEAM enables rapid and robust process design, mass and energy balances, and TEA to compare established and early-stage technologies and prioritize research, development, and deployment.
AB - BioSTEAM, the Biorefinery Simulation and Techno-Economic Analysis Modules, is an open-source steady-state process simulator in Python that enables biorefinery design, simulation, and techno-economic analysis (TEA) under uncertainty through its fast and flexible framework. By incorporating uncertainty as a key feature, BioSTEAM aims to evaluate the landscape of design decisions and scenarios for conceptual and emerging technologies. The applicability of BioSTEAM is demonstrated here in the context of (i) the co-production of biodiesel and ethanol from lipid-cane and (ii) the production of second-generation ethanol from corn stover. Economic metrics evaluated in BioSTEAM closely match benchmark designs modeled in proprietary software (SuperPro Designer, Aspen Plus). Through the automation of unit operation sizing and characterization of utility requirements, process waste streams, and make-up water usage, BioSTEAM also generates data needed for environmental sustainability analyses (e.g., via life cycle assessment). Ultimately, BioSTEAM enables rapid and robust process design, mass and energy balances, and TEA to compare established and early-stage technologies and prioritize research, development, and deployment.
KW - Monte Carlo
KW - biochemical process
KW - thermodynamics
KW - uncertainty
KW - unit operations
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U2 - 10.1021/acssuschemeng.9b07040
DO - 10.1021/acssuschemeng.9b07040
M3 - Article
AN - SCOPUS:85080959147
SN - 2168-0485
VL - 8
SP - 3302
EP - 3310
JO - ACS Sustainable Chemistry and Engineering
JF - ACS Sustainable Chemistry and Engineering
IS - 8
ER -