Life cycle assessment of greenhouse gas emissions and water-energy optimization for shale gas supply chain planning based on multi-level approach: Case study in Barnett, Marcellus, Fayetteville, and Haynesville shales

•Detailed model developed for the shale gas supply chain system in the US.•Dynamic integration of multi-level programming and life cycle assessment.•Analysis of the objectives with environmental, economic and energy concerns.•Identification of GHG emissions and water-energy consumption at life cycle...

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Vydáno v:Energy conversion and management Ročník 134; s. 382 - 398
Hlavní autoři: Chen, Yizhong, He, Li, Guan, Yanlong, Lu, Hongwei, Li, Jing
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 15.02.2017
Elsevier Science Ltd
Témata:
algorithms
business enterprises
Case studies
Computer applications
Computing time
Drilling
electricity
Emissions
Energy
Energy conservation
freshwater
Greenhouse effect
Greenhouse gas
greenhouse gas emissions
Greenhouse gases
Hydraulic fracturing
Interactive systems
issues and policy
Life cycle
Life cycle analysis
Life cycle assessment
Life cycle engineering
Life cycles
Multi-level programming
Optimization
planning
profits and margins
Shale
Shale gas
Shales
Structural hierarchy
supply chain
Supply chains
Surface water
United States
Wastewater
Water consumption
Water reuse
Water supply
wells
United States
Multi-level programming
Life cycle
Energy
Greenhouse gas
Water supply
Shale gas
ISSN:0196-8904, 1879-2227
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Shrnutí:•Detailed model developed for the shale gas supply chain system in the US.•Dynamic integration of multi-level programming and life cycle assessment.•Analysis of the objectives with environmental, economic and energy concerns.•Identification of GHG emissions and water-energy consumption at life cycle stages.•Comparison of management performances obtained from the MLP, MOP, and BLP methods. This study develops a multi-level programming model from a life cycle perspective for performing shale-gas supply chain system. A set of leader-follower-interactive objectives with emphases of environmental, economic and energy concerns are incorporated into the synergistic optimization process, named MGU-MEM-MWL model. The upper-level model quantitatively investigates the life-cycle greenhouse gas (GHG) emissions as controlled by the environmental sector. The middle-level one focuses exclusively on system benefits as determined by the energy sector. The lower-level one aims to recycle water to minimize the life-cycle water supply as required by the enterprises. The capabilities and effectiveness of the developed model are illustrated through real-world case studies of the Barnett, Marcellus, Fayetteville, and Haynesville Shales in the US. An improved multi-level interactive solution algorithm based on satisfactory degree is then presented to improve computational efficiency. Results indicate that: (a) the end-use phase (i.e., gas utilization for electricity generation) would not only dominate the life-cycle GHG emissions, but also account for 76.1% of the life-cycle system profits; (b) operations associated with well hydraulic fracturing would be the largest contributor to the life-cycle freshwater consumption when gas use is not considered, and a majority of freshwater withdrawal would be supplied by surface water; (c) nearly 95% of flowback water would be recycled for hydraulic fracturing activities and only about 5% of flowback water would be treated via CWT facilities in the Marcellus, while most of the wastewater generated from the drilling, fracturing and production operations would be treated via underground injection control wells in the other shale plays. Moreover, the performance of the MGU-MEM-MWL model is enhanced by comparing with the three bi-level programs and the multi-objective approach. Results demonstrate that the MGU-MEM-MWL decisions would provide much comprehensive and systematic policies when considering the hierarchical structure within the shale-gas system.
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2016.12.019