Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input-output analysis

This article addresses the optimal design and planning of cellulosic ethanol supply chains under economic, environmental, and social objectives. The economic objective is measured by the total annualized cost, the environmental objective is measured by the life cycle greenhouse gas emissions, and th...

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Vydané v:	AIChE journal Ročník 58; číslo 4; s. 1157 - 1180
Hlavní autori:	You, Fengqi, Tao, Ling, Graziano, Diane J., Snyder, Seth W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.04.2012 Wiley American Institute of Chemical Engineers
Predmet:	09 BIOMASS FUELS Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences Biodiesel fuels biofuel supply chain Biofuels Biomass Biorefineries Chemical engineering Design optimization Economics Emission measurements Environmental objective Ethanol Exact sciences and technology Greenhouse gases input-output analysis Life cycle analysis Life cycles multiobjective optimization Pareto optimum planning Seasonal variations Supply chain sustainability Supply chains sustainability Sustainable design USA, Illinois input― output analysis life cycle analysis Life cycle (environment) Linear programming Mixed integer programming Biomass Density Sustainable development Modeling sustainability Optimization Optimal design multiobjective optimization planning Production planning Seasonal variation biofuel supply chain Greenhouse gas Inventory control Compatibility Mathematical programming Logistics
ISSN:	0001-1541, 1547-5905
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Shrnutí:	This article addresses the optimal design and planning of cellulosic ethanol supply chains under economic, environmental, and social objectives. The economic objective is measured by the total annualized cost, the environmental objective is measured by the life cycle greenhouse gas emissions, and the social objective is measured by the number of accrued local jobs. A multiobjective mixed‐integer linear programming (mo‐MILP) model is developed that accounts for major characteristics of cellulosic ethanol supply chains, including supply seasonality and geographical diversity, biomass degradation, feedstock density, diverse conversion pathways and byproducts, infrastructure compatibility, demand distribution, regional economy, and government incentives. Aspen Plus models for biorefineries with different feedstocks and conversion pathways are built to provide detailed techno‐economic and emission analysis results for the mo‐MILP model, which simultaneously predicts the optimal network design, facility location, technology selection, capital investment, production planning, inventory control, and logistics management decisions. The mo‐MILP problem is solved with an ε‐constraint method; and the resulting Pareto‐optimal curves reveal the tradeoff between the economic, environmental, and social dimensions of the sustainable biofuel supply chains. The proposed approach is illustrated through two case studies for the state of Illinois. © 2011 American Institute of Chemical Engineers AIChE J, 2012
Bibliografia:	U.S. Department of Energy - No. DE-AC02-06CH11357 ArticleID:AIC12637 ark:/67375/WNG-04DLG4FZ-C istex:CA0A37816A7C4995E01258359988A5165F093733 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 AC36-08GO28308 NREL/JA-5100-72007 USDOE Office of Energy Efficiency and Renewable Energy (EERE)
ISSN:	0001-1541 1547-5905
DOI:	10.1002/aic.12637