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http://dx.doi.org/10.4491/eer.2016.060

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

Sun, Wei (Department of Economics and Management, North China Electric Power University)
Ye, Minquan (Department of Economics and Management, North China Electric Power University)
Xu, Yanfeng (Department of Economics and Management, North China Electric Power University)
Publication Information
Environmental Engineering Research / v.21, no.4, 2016 , pp. 409-419 More about this Journal
Abstract
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.
Keywords
China; Economic growth; Energy structure optimization; Genetic algorithm; Hebei Province; Low carbon constraint;
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