Modeling and scenario prediction of a natural gas demand system based on a system dynamics method

Abstract Based on the study of the relationship between structure and feedback of China’s natural gas demand system, this paper establishes a system dynamics model. In order to simulate the total demand and consumption structure of natural gas in China, we set up seven scenarios by changing some of...

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Autores principales: Xian-Zhong Mu, Guo-Hao Li, Guang-Wen Hu
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Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2018
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Acceso en línea:https://doaj.org/article/3a0af054a1424c4ca65cba11af25fa63
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spelling oai:doaj.org-article:3a0af054a1424c4ca65cba11af25fa632021-12-02T11:35:15ZModeling and scenario prediction of a natural gas demand system based on a system dynamics method10.1007/s12182-018-0269-31672-51071995-8226https://doaj.org/article/3a0af054a1424c4ca65cba11af25fa632018-10-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-018-0269-3https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract Based on the study of the relationship between structure and feedback of China’s natural gas demand system, this paper establishes a system dynamics model. In order to simulate the total demand and consumption structure of natural gas in China, we set up seven scenarios by changing some of the parameters of the model. The results showed that the total demand of natural gas would increase steadily year by year and reach in the range from 3600 to 4500 billion cubic meters in 2035. Furthermore, in terms of consumption structure, urban gas consumption would still be the largest term, followed by the gas consumption as industrial fuel, gas power generation and natural gas chemical industry. In addition, compared with the population growth, economic development still plays a dominant role in the natural gas demand growth, the impact of urbanization on urban gas consumption is significant, and the promotion of natural gas utilization technology can effectively reduce the total consumption of natural gas.Xian-Zhong MuGuo-Hao LiGuang-Wen HuKeAi Communications Co., Ltd.articleNatural gas demand systemSystem dynamicsScenario predictionConsumption structureScienceQPetrologyQE420-499ENPetroleum Science, Vol 15, Iss 4, Pp 912-924 (2018)
institution DOAJ
collection DOAJ
language EN
topic Natural gas demand system
System dynamics
Scenario prediction
Consumption structure
Science
Q
Petrology
QE420-499
spellingShingle Natural gas demand system
System dynamics
Scenario prediction
Consumption structure
Science
Q
Petrology
QE420-499
Xian-Zhong Mu
Guo-Hao Li
Guang-Wen Hu
Modeling and scenario prediction of a natural gas demand system based on a system dynamics method
description Abstract Based on the study of the relationship between structure and feedback of China’s natural gas demand system, this paper establishes a system dynamics model. In order to simulate the total demand and consumption structure of natural gas in China, we set up seven scenarios by changing some of the parameters of the model. The results showed that the total demand of natural gas would increase steadily year by year and reach in the range from 3600 to 4500 billion cubic meters in 2035. Furthermore, in terms of consumption structure, urban gas consumption would still be the largest term, followed by the gas consumption as industrial fuel, gas power generation and natural gas chemical industry. In addition, compared with the population growth, economic development still plays a dominant role in the natural gas demand growth, the impact of urbanization on urban gas consumption is significant, and the promotion of natural gas utilization technology can effectively reduce the total consumption of natural gas.
format article
author Xian-Zhong Mu
Guo-Hao Li
Guang-Wen Hu
author_facet Xian-Zhong Mu
Guo-Hao Li
Guang-Wen Hu
author_sort Xian-Zhong Mu
title Modeling and scenario prediction of a natural gas demand system based on a system dynamics method
title_short Modeling and scenario prediction of a natural gas demand system based on a system dynamics method
title_full Modeling and scenario prediction of a natural gas demand system based on a system dynamics method
title_fullStr Modeling and scenario prediction of a natural gas demand system based on a system dynamics method
title_full_unstemmed Modeling and scenario prediction of a natural gas demand system based on a system dynamics method
title_sort modeling and scenario prediction of a natural gas demand system based on a system dynamics method
publisher KeAi Communications Co., Ltd.
publishDate 2018
url https://doaj.org/article/3a0af054a1424c4ca65cba11af25fa63
work_keys_str_mv AT xianzhongmu modelingandscenariopredictionofanaturalgasdemandsystembasedonasystemdynamicsmethod
AT guohaoli modelingandscenariopredictionofanaturalgasdemandsystembasedonasystemdynamicsmethod
AT guangwenhu modelingandscenariopredictionofanaturalgasdemandsystembasedonasystemdynamicsmethod
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