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The green behavioral effect of clean coal technology on China's power generation industry

机译:清洗煤技术对中国发电产业的绿色行为效应

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Clean coal technology is a green technology and it can improve the efficiency of thermal coal usage and helps to speed up the green development of the power generation industry. To better understand the actual effect of clean coal generating technology on CO2 emission reduction, we take the ultra-supercritical power generation technology as an example to illustrate the positive impact on the environment. Since support vector machine has widely been used in the field of time series prediction due to its advantages compared with other prediction models, in this paper we will use support vector machine to build a prediction model and estimate the electricity demand from 2020 to 2040 in China. Then, based on the future electricity demand with ultra-supercritical power generation technology, we calculate the amount of carbon emission reduction which uses the carbon emission calculation method of UNFCCC. Our results show that: 1. The coal-fired electricity demand will reach 5070.1 billion kWh in 2020. 2. The amount of carbon emissions reduction due to the application of ultra-supercritical power generation technology in coal-fired electricity will be 0.233 billion tons. 3. Carbon emissions will only reduce by 2.1%-3.0%, which means that traditional clean coal generation technology can only decrease CO2 emissions to a certain extent, and the achievement of larger reductions may have to rely on carbon capture and storage and renewable energy. (C) 2019 Elsevier B.V. All rights reserved.
机译:清洁煤技术是一种绿色技术,可以提高热煤的效率,有助于加快发电行业的绿色发展。为了更好地了解清洁煤炭发电技术对二氧化碳排放减少的实际效果,我们采用超超临界发电技术作为示例,以说明对环境的积极影响。由于支持向量机广泛用于时间序列预测领域,因为它的优点与其他预测模型相比,我们将使用支持向量机建立预测模型并估计2020年到2040年的电力需求。然后,基于未来的超超临界发电技术的电力需求,我们计算了使用UNFCCC碳排放计算方法的碳排放量。我们的结果表明:1。燃煤电量在2020年将达到50701亿千瓦时.2。由于在燃煤电力中应用超超临界发电技术导致的碳排放量将为0.233亿吨。 3.碳排放只会减少2.1%-3.0%,这意味着传统的清洁煤炭发电技术只能在一定程度上降低二氧化碳排放量,减少减少的成就可能不得不依赖碳捕获和储存和可再生能源。 (c)2019 Elsevier B.v.保留所有权利。

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