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Study on substitutable value of electric heating instead of coal heating in northern China under carbon constraints

机译:碳限制下,中国北方电力加热代替电加热的可替代价值研究

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Northern China has long been puzzled by smog in winter. Electric heating, as a kind of clean heating method, has been promoted to replace coal-fired heating. However, owing to the power structure dominated by coal power in China, electric heating may cause more carbon emissions than that of coal-fired heating if the scale of the former exceeds relative limit. It is essential to study the electric heating area development limit to ensure carbon reduction compared with that of coal-fired heating. In this paper, based on the analysis of carbon emissions from coal-fired heating and electric heating, a calculation model for the substitutable value of electric heating instead of coal heating is established under carbon constraints. The model reveals that the substitutable value is related to the total heating area and the power structure. The Long Short-Term Memory Neural Network forecasting model is constructed to forecast total central heating area in urban areas of northern China from 2020 to 2035. The baseline scenario (BS), low carbon scenario (LCS) and enhanced low carbon scenario (ELCS) are set to forecast the power structure in northern China. The results show that under the BS, the substitutable value of electric heating instead of coal heating can reach 15.058 billion square meters by 2035. Under the LCS and ELCS, the substitutable value will be even greater by 2035, 18.726 and 25.080 billion square meters, respectively. In addition, when the proportion of thermal power generation is less than 49.10%, electric heating per square meter can make less carbon emissions than coal-fired heating per square meter. The findings provide a reference for medium and long-term planning of large-scale electric heating in northern China. (C) 2020 Elsevier Ltd. All rights reserved.
机译:中国北方在冬天的烟雾中令人困惑。作为一种清洁的加热方法,电加热已被促进促进替代燃煤加热。然而,由于中国煤炭电力主导的电力结构,如果前者的规模超过相对极限,电加热可能会导致燃煤加热的碳排放量更多。必须研究电热区域开发限制,以确保碳减少与燃煤加热相比。本文基于燃煤加热和电加热的碳排放的分析,在碳约束下建立了电加热代替煤加热的可替代值的计算模型。该模型揭示了可替代值与总加热区域和功率结构有关。长期内存神经网络预测模型的建设是为了预测2020年至2035年中国北方城市地区的中央供热区。基线情景(BS),低碳情景(LCS)和增强的低碳情景(ELC)设定预测中国北方的电力结构。结果表明,在BS下,电加热代替煤加热的可替代价值可达2035年的150.58亿平方米。在LCS和ELC下,可替代价值将更大,甚至更大到2035,18.726和25080亿平方米,分别。此外,当热发电比例小于49.10%时,每平方米的电加热可以使碳排放量较少,而不是每平方米的燃煤加热。调查结果为中国北方大型电加热的中型和长期规划提供了参考。 (c)2020 elestvier有限公司保留所有权利。

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