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Energy Supply Chain Optimization of Hybrid Feedstock Processes: A Review

Energy Supply Chain Optimization of Hybrid Feedstock Processes: A Review The economic, environmental, and social performances of energy systems depend on their geographical locations and the surrounding market infrastructure for feedstocks and energy products. Strategic decisions to locate energy conversion facilities must take all upstream and downstream operations into account, prompting the development of supply chain modeling and optimization methods. This article reviews the contributions of energy supply chain studies that include heat, power, and liquid fuels production. Studies are categorized based on specific features of the mathematical model, highlighting those that address energy supply chain models with and without considerations of multiperiod decisions. Studies that incorporate uncertainties are discussed, and opportunities for future research developments are outlined. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Chemical and Biomolecular Engineering Annual Reviews

Energy Supply Chain Optimization of Hybrid Feedstock Processes: A Review

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References (165)

Publisher
Annual Reviews
Copyright
Copyright © 2014 by Annual Reviews. All rights reserved
ISSN
1947-5438
eISSN
1947-5446
DOI
10.1146/annurev-chembioeng-060713-040425
pmid
24635766
Publisher site
See Article on Publisher Site

Abstract

The economic, environmental, and social performances of energy systems depend on their geographical locations and the surrounding market infrastructure for feedstocks and energy products. Strategic decisions to locate energy conversion facilities must take all upstream and downstream operations into account, prompting the development of supply chain modeling and optimization methods. This article reviews the contributions of energy supply chain studies that include heat, power, and liquid fuels production. Studies are categorized based on specific features of the mathematical model, highlighting those that address energy supply chain models with and without considerations of multiperiod decisions. Studies that incorporate uncertainties are discussed, and opportunities for future research developments are outlined.

Journal

Annual Review of Chemical and Biomolecular EngineeringAnnual Reviews

Published: Jun 7, 2014

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