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Has China's coal consumption already peaked? A demand-side analysis based on hybrid prediction models

机译:中国的煤炭消费量已经达到峰值吗?基于混合预测模型的需求侧分析

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摘要

To deal simultaneously with the environmental problems caused by the current high-intensity exploitation and extensive use of coal resources, it is necessary to perform a scientific prediction of the trend and, especially, the peak of China's coal demand. Based on the historical data on coal consumption and four primary factors (economic growth, energy structure, investment, and industrial structure) during the period of 1981-2015, this study established a hybrid model for coal demand prediction, using particle swarm optimization and cointegration methods. According to the prediction results combined with the actual statistics, in the business-as-usual scenario, China's coal demand had peaked in 2014, then a downward trend started with an average annual decline rate of 5.85% for 2016 to 2020. However, future coal demand will keep increasing in the pessimism scenario. And in the optimism scenario, coal demand will decline much faster than the business-as-usual scenario. Sensitive analysis on four influential factors shows that coal demand is more sensitive to changes in investment and industrial structure, and more emphasis should be put on the supply and the demand side of coal industry. (C) 2018 Elsevier Ltd. All rights reserved.
机译:为了同时应对当前煤炭资源的高强度开采和广泛使用所引起的环境问题,有必要对趋势,尤其是中国煤炭需求的高峰进行科学的预测。基于1981年至2015年期间煤炭消费的历史数据和四个主要因素(经济增长,能源结构,投资和产业结构),本研究使用粒子群优化和协整方法建立了一个煤炭需求预测的混合模型。方法。根据预测结果和实际统计数据,在照常运行的情况下,中国的煤炭需求在2014年达到峰值,然后开始下降趋势,2016年至2020年的年均下降速度为5.85%。在悲观情景下,煤炭需求将继续增长。而且在乐观的情况下,煤炭需求的下降速度将比照常运作的情况快得多。对四个影响因素的敏感性分析表明,煤炭需求对投资和产业结构的变化更为敏感,应更加重视煤炭工业的供求两面。 (C)2018 Elsevier Ltd.保留所有权利。

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