Selecting China’s strategic petroleum reserve sites by multi-objective programming model

Abstract An important decision for policy makers is selecting strategic petroleum reserve sites. However, policy makers may not choose the most suitable and efficient locations for strategic petroleum reserve (SPR) due to the complexity in the choice of sites. This paper proposes a multi-objective p...

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Autores principales:	Hui Li, Ren-Jin Sun, Kang-Yin Dong, Xiu-Cheng Dong, Zhong-Bin Zhou, Xia Leng
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2017
Materias:	Strategic petroleum reserve Storage site selection Multi-objective modeling China Science Q Petrology QE420-499
Acceso en línea:	https://doaj.org/article/8cbce91261b74b8197ad5f216fb3420c
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spelling	oai:doaj.org-article:8cbce91261b74b8197ad5f216fb3420c2021-12-02T05:20:31ZSelecting China’s strategic petroleum reserve sites by multi-objective programming model10.1007/s12182-017-0175-01672-51071995-8226https://doaj.org/article/8cbce91261b74b8197ad5f216fb3420c2017-07-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-017-0175-0https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract An important decision for policy makers is selecting strategic petroleum reserve sites. However, policy makers may not choose the most suitable and efficient locations for strategic petroleum reserve (SPR) due to the complexity in the choice of sites. This paper proposes a multi-objective programming model to determine the optimal locations for China’s SPR storage sites. This model considers not only the minimum response time but also the minimum transportation cost based on a series of reasonable assumptions and constraint conditions. The factors influencing SPR sites are identified to determine potential demand points and candidate storage sites. Estimation and suggestions are made for the selection of China’s future SPR storage sites based on the results of this model. When the number of petroleum storage sites is less than or equals 25 and the maximum capacity of storage sites is restricted to 10 million tonnes, the model’s result best fit for the current layout scheme selected thirteen storage sites in four scenarios. Considering the current status of SPR in China, Tianjin, Qingdao, Dalian, Daqing and Zhanjiang, Chengdu, Xi’an, and Yueyang are suggested to be the candidate locations for the third phase of the construction plan. The locations of petroleum storage sites suggested in this work could be used as a reference for decision makers.Hui LiRen-Jin SunKang-Yin DongXiu-Cheng DongZhong-Bin ZhouXia LengKeAi Communications Co., Ltd.articleStrategic petroleum reserveStorage site selectionMulti-objective modelingChinaScienceQPetrologyQE420-499ENPetroleum Science, Vol 14, Iss 3, Pp 622-635 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Strategic petroleum reserve Storage site selection Multi-objective modeling China Science Q Petrology QE420-499
spellingShingle	Strategic petroleum reserve Storage site selection Multi-objective modeling China Science Q Petrology QE420-499 Hui Li Ren-Jin Sun Kang-Yin Dong Xiu-Cheng Dong Zhong-Bin Zhou Xia Leng Selecting China’s strategic petroleum reserve sites by multi-objective programming model
description	Abstract An important decision for policy makers is selecting strategic petroleum reserve sites. However, policy makers may not choose the most suitable and efficient locations for strategic petroleum reserve (SPR) due to the complexity in the choice of sites. This paper proposes a multi-objective programming model to determine the optimal locations for China’s SPR storage sites. This model considers not only the minimum response time but also the minimum transportation cost based on a series of reasonable assumptions and constraint conditions. The factors influencing SPR sites are identified to determine potential demand points and candidate storage sites. Estimation and suggestions are made for the selection of China’s future SPR storage sites based on the results of this model. When the number of petroleum storage sites is less than or equals 25 and the maximum capacity of storage sites is restricted to 10 million tonnes, the model’s result best fit for the current layout scheme selected thirteen storage sites in four scenarios. Considering the current status of SPR in China, Tianjin, Qingdao, Dalian, Daqing and Zhanjiang, Chengdu, Xi’an, and Yueyang are suggested to be the candidate locations for the third phase of the construction plan. The locations of petroleum storage sites suggested in this work could be used as a reference for decision makers.
format	article
author	Hui Li Ren-Jin Sun Kang-Yin Dong Xiu-Cheng Dong Zhong-Bin Zhou Xia Leng
author_facet	Hui Li Ren-Jin Sun Kang-Yin Dong Xiu-Cheng Dong Zhong-Bin Zhou Xia Leng
author_sort	Hui Li
title	Selecting China’s strategic petroleum reserve sites by multi-objective programming model
title_short	Selecting China’s strategic petroleum reserve sites by multi-objective programming model
title_full	Selecting China’s strategic petroleum reserve sites by multi-objective programming model
title_fullStr	Selecting China’s strategic petroleum reserve sites by multi-objective programming model
title_full_unstemmed	Selecting China’s strategic petroleum reserve sites by multi-objective programming model
title_sort	selecting china’s strategic petroleum reserve sites by multi-objective programming model
publisher	KeAi Communications Co., Ltd.
publishDate	2017
url	https://doaj.org/article/8cbce91261b74b8197ad5f216fb3420c
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_version_	1718400426671341568

Selecting China’s strategic petroleum reserve sites by multi-objective programming model

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