Shale Gas Supply Chain Design and Operations toward Better Economic and Life Cycle Environmental Performance: MINLP Model and Global Optimization Algorithm

Jiyao Gao, Fengqi You*

*Corresponding author for this work

Research output: Contribution to journalArticle

123 Scopus citations

Abstract

In this work, the life cycle economic and environmental optimization of shale gas supply chain network design and operations is addressed. The proposed model covers the well-to-wire life cycle of electricity generated from shale gas, consisting of a number of stages including freshwater acquisition, shale well drilling, hydraulic fracturing and completion, shale gas production, wastewater management, shale gas processing, electricity generation as well as transportation and storage. A functional-unit based life cycle optimization problem for a cooperative shale gas supply chain is formulated as a multiobjective nonconvex mixed-integer nonlinear programming (MINLP) problem. The resulting Pareto-optimal frontier reveals the trade-off between the economic and environmental objectives. A case study based on Marcellus shale play shows that the greenhouse gas emission of electricity generated from shale gas ranges from 433 to 499 kg CO2e/MWh, and the levelized cost of electricity ranges from $69 to $91/MWh. A global optimization algorithm is also presented to improve computational efficiency. (Figure Presented).

Original languageEnglish (US)
Pages (from-to)1282-1291
Number of pages10
JournalACS Sustainable Chemistry and Engineering
Volume3
Issue number7
DOIs
StatePublished - Jul 6 2015

Keywords

  • Global optimization
  • Life cycle optimization
  • MINLP
  • Shale gas
  • Sustainable supply chain

ASJC Scopus subject areas

  • Chemistry(all)
  • Environmental Chemistry
  • Chemical Engineering(all)
  • Renewable Energy, Sustainability and the Environment

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