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A comprehensive study on low-carbon impact of distributed generations on regional power grids: A case of Jiangxi provincial power grid in China

机译:分布式发电对区域电网的低碳影响的综合研究:以中国江西省电网为例

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摘要

Electric power industry is a key to achieve the low-carbon social and economic development. Distributed generation (DG) has great potential in the development of low-carbon power grid because of its non-polluting property and large reserves. Therefore, it is of great importance to have a comprehensive investigation on low-carbon impact of DG on power grids. In this paper, regional power grids are focused as they are crucial supporters of regional economic and social activities and the primary undertakers of low-carbon development. Specifically, first, the carbon dioxide emission coefficient and energy consumption of DG are evaluated from the aspect of its life cycle. Then, the wind farm and photovoltaic power station are compared in terms of carbon dioxide emissions and energy consumption, indicated that wind power is superior in reducing the carbon dioxide emissions. Finally, the carbon intensity of provincial power grid is evaluated by grey prediction model with historical data such as electricity consumption, gross domestic product (GDP), carbon dioxide emission coefficient. Taking Jiangxi provincial power grid as the example, the results demonstrate that the proposed prediction method is of high accuracy and the integration of DGs can effectively reduce carbon dioxide emissions and carbon intensity, thus, DG should be widely integrated into provincial power grids. (C) 2015 Elsevier Ltd. All rights reserved.
机译:电力行业是实现低碳社会经济发展的关键。分布式发电(DG)具有无污染,储量大的特点,在低碳电网发展中具有巨大的潜力。因此,对DG对电网的低碳影响进行全面研究非常重要。本文关注区域电网,因为它们是区域经济和社会活动的重要支持者以及低碳发展的主要承担者。具体地,首先,从其生命周期的角度评估DG的二氧化碳排放系数和能量消耗。然后,比较了风电场和光伏电站的二氧化碳排放量和能耗,表明风能在减少二氧化碳排放方面具有优势。最后,通过灰色预测模型,结合用电量,国内生产总值,二氧化碳排放系数等历史数据,对省级电网的碳强度进行了评估。以江西省级电网为例,结果表明,所提出的预测方法具有较高的预测精度,而DG的集成可以有效地减少二氧化碳的排放和碳强度,因此,DG应广泛应用于省级电网。 (C)2015 Elsevier Ltd.保留所有权利。

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