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基于用电大数据的光电建筑最佳光伏装机容量的估算研究

RESEARCH ON ESTIMATION OF OPTIMAL PV INSTALLED CAPACITY OF PHOTOELECTRIC BUILDING BASED ON ELECTRICITY CONSUMPTION BIG DATA
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摘要 为实现碳达峰、碳中和目标,国家大力优化产业结构和能源结构。在建筑能源应用方面,可再生能源电力将是与未来建筑能源需求匹配度最高的一种能源利用形式,光电建筑将成为未来建筑的发展趋势。通过采集企业用电大数据,拟合设备负荷,并结合光伏发电系统输出功率曲线,计算得到光伏电力自用电率最高时的光伏装机容量,使项目的投资收益最大化,大幅促进与建筑相结合的分布式光伏发电的应用。 In order to achieve the goal of emission peak and carbon neutrality,the country has made great efforts to optimize the industrial structure and energy structure.In terms of building energy application,renewable energy power will be a new form of energy utilization that matches the energy demand of future buildings with the highest degree,and photoelectric buildings will become the development trend of future buildings.In this paper,the enterprise electricity consumption big data is collected,the equipment load is fitted,and the output power curve of PV power generation system is combined to calculate the PV installed capacity when the selfconsumption rate of PV power is the highest,so as to maximize the investment income of project and greatly promote the application of distributed PV power generation combined with buildings.
作者 戴仁德 桂中心 张威振 Dai Rende;Gui Zhongxin;Zhang Weizhen(Hunan Zhongda Design Institute Co.,Ltd.,Changsha 410075,China)
出处 《太阳能》 2022年第3期77-81,共5页 Solar Energy
关键词 光电建筑 分布式光伏 自用电率 装机容量 自发自用 photoelectric buildings distributed PV self-consumption rate installed capacity self-generate and self-consumption
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