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Policy research and energy structure optimization under the constraint of low carbon emissions of Hebei Province in China

机译:低碳排放约束下的政策研究与能源结构优化

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摘要

As a major energy consumption province, the issue about the carbon emissions in Hebei Province, China has been concerned by the government. The carbon emissions can be effectively reduced due to a more rational energy consumption structure. Thus, in this paper the constraint of low carbon emissions is considered as a foundation and four energies-coal, petroleum, natural gas and electricity including wind power, nuclear power and hydro-power etc are selected as the main analysis objects of the adjustment of energy structure. This paper takes energy cost minimum and carbon trading cost minimum as the objective functions based on the economic growth, energy saving and emission reduction targets and constructs an optimization model of energy consumption structure. And empirical research about energy consumption structure optimization in 2015 and 2020 is carried out based on the energy consumption data in Hebei Province, China during the period 1995-2013, which indicates that the energy consumption in Hebei dominated by coal cannot be replaced in the next seven years, from 2014 to 2020, when the coal consumption proportion is still up to 85.93%. Finally, the corresponding policy suggestions are put forward, according to the results of the energy structure optimization in Hebei Province.
机译:作为一个重要的能源消耗大省,中国河北省的碳排放问题一直受到政府的关注。通过更合理的能源消耗结构,可以有效减少碳排放。因此,本文将低碳排放的约束作为基础,并选择了包括风能,核能和水能等在内的四种能源,包括煤炭,石油,天然气和电力,作为调整的主要分析对象。能量结构。本文基于经济增长,节能减排目标,以最低能源成本和最低碳交易成本为目标函数,构建了能源消费结构优化模型。基于1995-2013年河北省的能源消费数据,对2015年和2020年的能源消费结构优化进行了实证研究,表明下一次煤炭替代的河北能源消费无法替代。从2014年到2020年的7年间,煤炭消费比重仍高达85.93%。最后根据河北省能源结构优化的结果,提出了相应的政策建议。

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