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Forecasting of China's natural gas production and its policy implications 被引量:3
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作者 Shi-Qun Li Bao-Sheng Zhang Xu Tang 《Petroleum Science》 SCIE CAS CSCD 2016年第3期592-603,共12页
With the vigorous promotion of energy conservation and implementation of clean energy strategies,China's natural gas industry has entered a rapid development phase,and natural gas is playing an increasingly important... With the vigorous promotion of energy conservation and implementation of clean energy strategies,China's natural gas industry has entered a rapid development phase,and natural gas is playing an increasingly important role in China's energy structure.This paper uses a Generalized Weng model to forecast Chinese regional natural gas production,where accuracy and reasonableness compared with other predictions are enhanced by taking remaining estimated recoverable resources as a criterion.The forecast shows that China's natural gas production will maintain a rapid growth with peak gas of 323 billion cubic meters a year coming in 2036;in 2020,natural gas production will surpass that of oil to become a more important source of energy.Natural gas will play an important role in optimizing China's energy consumption structure and will be a strategic replacement of oil.This will require that exploration and development of conventional natural gas is highly valued and its industrial development to be reasonably planned.As well,full use should be made of domestic and international markets.Initiative should also be taken in the exploration and development of unconventional and deepwater gas,which shall form a complement to the development of China's conventional natural gas industry. 展开更多
关键词 natural gas Production forecast Generalized Weng model Energy structure Policy implication
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Quantitative Analysis and Prediction of China's Natural Gas Consumption in Different Sectors Based on Bayesian Network
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作者 Jian CHAI Yabo WANG +3 位作者 Zhaohao WEI Huiting SHI Xiaokong ZHANG Xuejun ZHANG 《Journal of Systems Science and Information》 CSCD 2022年第4期338-353,共16页
In view of the heterogeneity of natural gas consumption in different sectors in China,this paper utilizes Bayesian network(BN)to study the driving factors of natural gas consumption in power generation,chemical and in... In view of the heterogeneity of natural gas consumption in different sectors in China,this paper utilizes Bayesian network(BN)to study the driving factors of natural gas consumption in power generation,chemical and industrial fuel sectors.Combined with Bayesian model averaging(BMA)and scenario analysis,the gas consumption of the three sectors is predicted.The results show that the expansion of urbanization will promote the gas consumption of power generation.The optimization of industrial structure and the increase of industrial gas consumption will enhance the gas consumption of chemical sector.The decrease of energy intensity and the increase of gas consumption for power generation will promote the gas consumption of industrial fuel.Moreover,the direct influencing factors of gas price are urbanization,energy structure and energy intensity.The direct influencing factors of environmental governance intensity are gas price,urbanization,industrial structure,energy intensity and energy structure.In 2025,under the high development scenario,China’s gas consumption for power generation,chemical and industrial fuel sectors will be 66.034,36.552 and 109.414 billion cubic meters respectively.From 2021 to 2025,the average annual growth rates of gas consumption of the three sectors will be 4.82%,2.18%and 4.43%respectively. 展开更多
关键词 Bayesian network influence factors Bayesian model average forecast natural gas consumption in different sectors
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