Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern U.S
Creators
- 1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang (China)
- 2. Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, IL (United States)
- 3. Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, Urbana, IL (United States)
- 4. Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University, Utrecht (Netherlands)
- 5. Faculty of Agricultural and Food Science, Zhejiang A&F University, Hangzhou, Zhejiang (China)
Description
Highlights: • A four-stage supply chain optimization model has been developed. • Three RJF pathways (ATJ, FT, and HTL) are evaluated under optimal supply chain configurations. • A Pareto-optimal curve shows the trade-off between production cost and greenhouse gas emissions. • FT is suggested as the promising sustainable RJF pathway. -- Abstract: Sustainable development of biomass-based renewable jet fuel (RJF) production mitigates the environmental stress and improves rural economics. We develop a mixed-integer linear programming model to incorporate spatial, agricultural, techno-economical, and environmental data for multi-objective optimization of RJF supply chain systems. The model is applied to the Midwestern U.S. to evaluate the sustainability performance of three pathways including alcohol-to-jet (ATJ), Fischer-Tropsch (FT) and Hydrothermal liquefaction (HTL). The results show that HTL is the most cost-effective with a cost of $4.64/gal while FT is most environmental-friendly with the greenhouse gas (GHG) emissions of 0.10 kg CO2/gal. The cost-optimal analysis suggests a centralized supply chain configuration with large facilities, while the environmental optimization analysis prefers a distributed system with small biorefinery facilities. For FT approach, cost optimization analysis suggests developing a supply chain with one large biorefinery, whereas environmental optimization prefers a system with 11 small biorefineries. Considering the economic and environmental factors simultaneously, the Pareto curve demonstrates that total production costs of three pathways all increase with the more stringent constraints of GHG emissions. This indicates that RJF production costs are sensitive to the regulation of GHG emissions. Considering the carbon price at $0.22 per kg of CO2 reduction, FT yields the lowest cost of $2.83/gal among three pathways, but it is still 47% higher than that of fossil jet fuel. FT is not cost competitive with fossil jet fuel until the carbon price increases to $0.30 per kg of CO2 reduction. FT is suggested a promising sustainable RJF production pathway due to its relatively low capital investment and production costs, centralized supply chain configuration, and low GHG emissions.
Additional details
Identifiers
- DOI
- 10.1016/j.rser.2019.109403;
- PII
- S1364032119306112;
Publishing Information
- Journal Title
- Renewable and Sustainable Energy Reviews
- Journal Volume
- 115
- Journal Page Range
- vp.
- ISSN
- 1364-0321
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55020577
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- AGRICULTURAL WASTES; ALCOHOLS; BIOMASS; CARBON; CARBON DIOXIDE; ECONOMIC ANALYSIS; EMISSION; GREENHOUSE GASES; LIQUEFACTION; MAIZE; OPTIMIZATION; PERFORMANCE; SUSTAINABLE DEVELOPMENT
- Descriptors DEC
- CARBON COMPOUNDS; CARBON OXIDES; CEREALS; CHALCOGENIDES; ECONOMICS; ELEMENTS; ENERGY SOURCES; GRAMINEAE; HYDROXY COMPOUNDS; LILIOPSIDA; MAGNOLIOPHYTA; NONMETALS; ORGANIC COMPOUNDS; ORGANIC WASTES; OXIDES; OXYGEN COMPOUNDS; PLANTS; RENEWABLE ENERGY SOURCES; RESOURCE DEVELOPMENT; THERMOCHEMICAL PROCESSES; WASTES
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Ltd. All rights reserved.