中国
火力发电站
自回归积分移动平均
环境科学
粒子群优化
环境经济学
煤
发射强度
发电
功率(物理)
气象学
经济
数学
工程类
统计
地理
废物管理
数学优化
热力学
电气工程
物理
时间序列
考古
激发
作者
Liwei Liu,Haijing Zong,En-Guang Zhao,Chuxiang Chen,Jianzhou Wang
出处
期刊:Applied Energy
[Elsevier]
日期:2014-07-01
卷期号:124: 199-212
被引量:134
标识
DOI:10.1016/j.apenergy.2014.03.001
摘要
This paper answers the question of whether China can realize its target to reduce the intensity of carbon dioxide (CO2) emissions per unit of GDP that was announced at the Copenhagen Conference by forecasting CO2 emission intensity in 2020 from the perspective of China’s coal-fired thermal power development. We construct a combined forecasting model with a grey model (GM(1, 1)), an autoregressive integrated moving average model (ARIMA) and a second order polynomial regression model (SOPR) and improve forecast accuracy by optimizing three coefficients of the individual aforementioned models with Particle Swarm Optimization (PSO). The results show that by 2020 thermal power generation will reach 7258.83 billion kW h, CO2 emissions will reach 17379.90 million tons, and CO2 emission intensity will be 0.21 kilogram per Yuan, which is almost twice as 40–45% of the 2005 level. It is warned that situation of meeting targets over the timescale by Chinese government is extremely serious if China’s coal-fired thermal power continues expanding at its current rate. The thermal power generation of 2020 that satisfies the emission reduction target should be controlled in an interval between 3801.45 and 4492.62 billion kW h. The regional forecasting results of coal-fired thermal power generation based on administrative region and economic belt demonstrate power output from coal-fired thermal power of East China and Eastern Economic Belt respectively account for 30.3% and 45.65% that of China by the end of 2020. Shanghai, Jiangsu, Zhejiang, Shandong and Fujian are thermal power generation concentrated areas with arduous task of carbon emission reduction by 2020.
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