Expansion co-planning for shale gas integration in a combined energy market

Jing QIU; Zhaoyang DONG; Junhua ZHAO; Ke MENG; Fengji LUO; Yingying CHEN

doi:10.1007/s40565-015-0107-1

Expansion co-planning for shale gas integration in a combined energy market

Jing QIU
, Zhaoyang DONG
, Junhua ZHAO^*
, Ke MENG
, Fengji LUO
, Yingying CHEN

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

20 Citations (Scopus)

28 Downloads (CityUHK Scholars)

Abstract

Shale gas resources have the potential to significantly contribute to worldwide energy portfolio. A great number shale gas reserves have been identified in many countries. Connections of newly found gas reserves to the existing energy infrastructures are challenging, as many stakeholders and market uncertainties are involved. The proposed co-planning approach is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall system. We propose a reliability assessment approach that is applicable for the coupled gas and electricity networks. In addition, the IEEE 24-bus RTS and a test gas system are applied to validate the performance of our approach. Based on the simulation results, the novel expansion co-planning approach is a robust and flexible decision tool, which provides network planners with comprehensive information regarding trade-offs between cost and system reliability. © 2015, The Author(s).

Original language	English
Pages (from-to)	302-311
Journal	Journal of Modern Power Systems and Clean Energy
Volume	3
Issue number	3
DOIs	https://doi.org/10.1007/s40565-015-0107-1
Publication status	Published - 1 Jan 2015
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Expansion planning
Gas network
Multi-objective optimization
Shale gas

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This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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abstract = "Shale gas resources have the potential to significantly contribute to worldwide energy portfolio. A great number shale gas reserves have been identified in many countries. Connections of newly found gas reserves to the existing energy infrastructures are challenging, as many stakeholders and market uncertainties are involved. The proposed co-planning approach is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall system. We propose a reliability assessment approach that is applicable for the coupled gas and electricity networks. In addition, the IEEE 24-bus RTS and a test gas system are applied to validate the performance of our approach. Based on the simulation results, the novel expansion co-planning approach is a robust and flexible decision tool, which provides network planners with comprehensive information regarding trade-offs between cost and system reliability. {\textcopyright} 2015, The Author(s).",

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T1 - Expansion co-planning for shale gas integration in a combined energy market

AU - QIU, Jing

AU - DONG, Zhaoyang

AU - ZHAO, Junhua

AU - MENG, Ke

AU - LUO, Fengji

AU - CHEN, Yingying

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2015/1/1

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N2 - Shale gas resources have the potential to significantly contribute to worldwide energy portfolio. A great number shale gas reserves have been identified in many countries. Connections of newly found gas reserves to the existing energy infrastructures are challenging, as many stakeholders and market uncertainties are involved. The proposed co-planning approach is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall system. We propose a reliability assessment approach that is applicable for the coupled gas and electricity networks. In addition, the IEEE 24-bus RTS and a test gas system are applied to validate the performance of our approach. Based on the simulation results, the novel expansion co-planning approach is a robust and flexible decision tool, which provides network planners with comprehensive information regarding trade-offs between cost and system reliability. © 2015, The Author(s).

AB - Shale gas resources have the potential to significantly contribute to worldwide energy portfolio. A great number shale gas reserves have been identified in many countries. Connections of newly found gas reserves to the existing energy infrastructures are challenging, as many stakeholders and market uncertainties are involved. The proposed co-planning approach is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall system. We propose a reliability assessment approach that is applicable for the coupled gas and electricity networks. In addition, the IEEE 24-bus RTS and a test gas system are applied to validate the performance of our approach. Based on the simulation results, the novel expansion co-planning approach is a robust and flexible decision tool, which provides network planners with comprehensive information regarding trade-offs between cost and system reliability. © 2015, The Author(s).

KW - Expansion planning

KW - Gas network

KW - Multi-objective optimization

KW - Shale gas

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U2 - 10.1007/s40565-015-0107-1

DO - 10.1007/s40565-015-0107-1

M3 - RGC 21 - Publication in refereed journal

SN - 2196-5625

VL - 3

SP - 302

EP - 311

JO - Journal of Modern Power Systems and Clean Energy

JF - Journal of Modern Power Systems and Clean Energy

IS - 3

ER -

Expansion co-planning for shale gas integration in a combined energy market

Abstract

Bibliographical note

UN SDGs

Research Keywords

Publisher's Copyright Statement

Access Output

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