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The Potential of Electrifying China's Energy Use: an Analysis Based on STIRPAT Model

机译:通电中国能源利用的潜力:基于烤盘模型的分析

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China's State Grid Corporation proposed the implementation of "electrifying energy use" strategy in 2013, and strives to promote the use of electricity instead of coal and other fossil fuels in energy consumption, and ultimately achieve a fundamental change in energy development. We use the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model to quantify the potential of electrifying energy service in China. The extended STIRPAT model is applied to analyze the relationship between electricity demand and the influential factors (e.g. population, economic activity, electricity intensity, and energy structure). In order to effectively avoid multicollinearity among variables, the regression coefficients are calculated by using the Partial Least Squares (PLS) technique. Moreover, we use a hybrid model to project the Business as usual (BAU) development of the above explanatory variables. We then develop three scenarios to project and analyze the future potentials of electrification in China. From the projection results, the potential for electrification shows a trend that the growth rate is slow at first but accelerates later. The governmental policy support has the greatest impact on the potential for electrification, and the effect is most pronounced. The influence of technological level on the potential of electrification is gradually weakening. When China's economic growth slows down, the potential for growth in electrification will slow down, but the level of technology will slow the trend of slowing growth in electrification potential. Finally, the sensitivity and contribution of each factor are analyzed, based on which some suggestions to promote the development of electrification are put forward.
机译:中国国家电网公司提出的“通电能源使用”战略的实施在2013年,并努力推广使用电力替代煤炭和能源消耗等化石能源,最终实现能源发展的一个根本性的变化。我们对人口,富裕程度和技术(STIRPAT)模型回归使用随机指标的影响量化中国通电能源服务的潜力。扩展STIRPAT模型应用于分析电力需求和其影响因素(例如人口,经济活动,电强度,和能源结构)之间的关系。为了有效地避免变量之间的多重共线性,回归系数,通过使用偏最小二乘(PLS)技术来计算。此外,我们使用混合模型来预测业务照常(BAU)的上述解释变量的发展。然后,我们制定三个方案项目和分析电气化的未来潜力在中国。从投影结果,对于电气化示出了趋势的增长速度是慢的,后来加速的可能性。在政府政策的支持对电气化的潜在影响最大,效果最显着。在电气化的潜在技术水平的影响正在逐渐减弱。当中国的经济增长放缓,在电气化增长潜力将有所放缓,但技术水平将减缓潜在的电气化增长放缓的趋势。最后,各因素的敏感性和贡献进行了分析,在此基础上,促进电气化的发展提出了一些建议。

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