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Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development

机译:从火电发展的角度看,中国能否实现2020年的碳减排目标

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摘要

This paper answers the question of whether China can realize its target to reduce the intensity of carbon dioxide (CO_2) emissions per unit of GDP that was announced at the Copenhagen Conference by forecasting CO_2 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, CO_2 emissions will reach 17379.90 million tons, and CO_2 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 bv 2020.
机译:本文通过从中国燃煤热能的角度预测2020年的CO_2排放强度,回答了哥本哈根会议上宣布的中国是否能够实现降低单位GDP二氧化碳(CO_2)排放强度的目标的问题。力量发展。我们使用灰色模型(GM(1,1)),自回归综合移动平均模型(ARIMA)和二阶多项式回归模型(SOPR)构建组合的预测模型,并通过优化上述个体的三个系数来提高预测准确性粒子群优化(PSO)的模型。结果表明,到2020年,火力发电量将达到72528.3亿千瓦时,CO_2排放量将达到17379.90百万吨,CO_2排放强度将为0.21千克/元,几乎是2005年水平的40-45%的两倍。需要警告的是,如果中国的燃煤火力发电继续以目前的速度发展,中国政府在一定时间内将无法达到目标。满足减排目标的2020年火力发电应控制在3801.45和4492.62亿千瓦时之间。基于行政区域和经济带的燃煤火力发电区域预测结果表明,到2020年底,华东和东部经济带的燃煤火电发电量分别占中国的30.3%和45.65%上海,江苏,浙江,山东和福建是火力发电的集中地区,在2020年之前,其碳减排任务艰巨。

著录项

  • 来源
    《Applied Energy》 |2014年第1期|199-212|共14页
  • 作者单位

    School of Economics & Management, North China Electric Power University, Beijing 102206, China;

    School of Economics & Management, North China Electric Power University, Beijing 102206, China;

    School of Economics & Management, North China Electric Power University, Beijing 102206, China;

    School of Economics & Management, North China Electric Power University, Beijing 102206, China;

    School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CO_2 emission reduction; Thermal power; Combination forecast; China;

    机译:减少CO_2排放;火电;组合预测;中国;

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