期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 35, 期 8, 页码 1399-1430出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2011.01.019
关键词
Energy supply chain; Hybrid energy system; Transportation fuel; Life cycle analysis; Mixed integer linear optimization
资金
- National Science Foundation [NSF EFRI-0937706]
- Directorate For Engineering
- Emerging Frontiers & Multidisciplinary Activities [0937706] Funding Source: National Science Foundation
A mixed-integer linear optimization formulation is developed to analyze the United States energy supply chain network for the hybrid coal, biomass, and natural gas to liquids (CBGTL) facilities. Each state is discretized into octants and each octant centroid serves as a potential location of one facility. The model selects the optimal locations of CBGTL facilities, the feedstock combination, and size of each facility that gives the minimum overall production cost. Two case studies are presented to investigate the effects of various technologies and hydrogen prices. The CBGTL network is capable to supply transportation fuel demands for the country at a cost between $15.68 and $22.06/GJ LHV ($76.55-$112.91/bbl crude oil) of produced liquid fuels for both case studies. Life cycle analysis on each facility in the supply chain network shows that the United States fuel demands can be fulfilled with an excess of 50% emissions reduction compared to petroleum based processes. (C) 2011 Elsevier Ltd. All rights reserved.
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