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Evaluation of household electricity consumption in multi-apartment buildings for optimization of rooftop PV systems
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-11-01 , DOI: 10.1016/j.enbuild.2024.114971 A. Borodiņecs, K. Lebedeva, T. Odineca
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-11-01 , DOI: 10.1016/j.enbuild.2024.114971 A. Borodiņecs, K. Lebedeva, T. Odineca
Empowering citizen energy communities (CECs) to produce, self-consume and share renewable energy can enhance household energy efficiency, support the adoption of renewable energy sources, reduce energy consumption and supply tariffs, and increase independence from fossil fuels. This study analyzes actual electricity consumption data from 31 dwellings in typical five-story multi-apartment buildings in Riga, Latvia, considering the potential for rooftop solar energy systems within CECs. The novelty of this study lies in the detailed analysis of household electricity consumption data and characteristics (e.g., household size, population, etc.) to predict household load which is essential for the optimal design of a multi-apartment building scale PV system. We evaluate the suitability of typical multi story buildings for rooftop photovoltaic (PV) systems, aiming to determine the potential PV performance relative to final electricity consumption. The study utilizes PolySun computer simulation software. Our findings indicate that a rooftop PV system on a typical 5 story multi-apartment building (60 apartments) can cover up to 77% of annual electricity consumption. This analysis is based on hourly real electricity consumption data. The research outcomes can inform optimization of on-site energy storage to mitigate the impact of PV systems on the grid. The proposed solution is applicable in many Eastern European countries and in some Western European countries that were influenced by the Soviet Union in the latter half of the 20th century.These regions have a similar stock of panel-constructed multi-apartment residential buildings and share comparable climatic conditions.
中文翻译:
评估多公寓建筑中的家庭用电量以优化屋顶光伏系统
赋予公民能源社区 (CEC) 生产、自用和共享可再生能源的能力可以提高家庭能源效率,支持可再生能源的采用,减少能源消耗和供应关税,并提高对化石燃料的独立性。本研究分析了拉脱维亚里加典型五层多公寓楼中 31 栋住宅的实际用电量数据,同时考虑了 CEC 内屋顶太阳能系统的潜力。本研究的新颖之处在于对家庭用电数据和特征(例如,家庭规模、人口等)进行详细分析,以预测家庭负荷,这对于多公寓建筑规模光伏系统的最佳设计至关重要。我们评估了典型的多层建筑对屋顶光伏 (PV) 系统的适用性,旨在确定相对于最终电力消耗的潜在光伏性能。该研究利用了 PolySun 计算机模拟软件。我们的研究结果表明,典型的 5 层多公寓楼(60 套公寓)上的屋顶光伏系统可以覆盖高达 77% 的年用电量。此分析基于每小时的实际用电量数据。研究结果可以为现场储能的优化提供信息,以减轻光伏系统对电网的影响。所提出的解决方案适用于许多东欧国家和一些在 20 世纪下半叶受苏联影响的西欧国家。这些地区拥有相似的面板建造的多公寓住宅楼存量,并且具有相似的气候条件。
更新日期:2024-11-01
中文翻译:
评估多公寓建筑中的家庭用电量以优化屋顶光伏系统
赋予公民能源社区 (CEC) 生产、自用和共享可再生能源的能力可以提高家庭能源效率,支持可再生能源的采用,减少能源消耗和供应关税,并提高对化石燃料的独立性。本研究分析了拉脱维亚里加典型五层多公寓楼中 31 栋住宅的实际用电量数据,同时考虑了 CEC 内屋顶太阳能系统的潜力。本研究的新颖之处在于对家庭用电数据和特征(例如,家庭规模、人口等)进行详细分析,以预测家庭负荷,这对于多公寓建筑规模光伏系统的最佳设计至关重要。我们评估了典型的多层建筑对屋顶光伏 (PV) 系统的适用性,旨在确定相对于最终电力消耗的潜在光伏性能。该研究利用了 PolySun 计算机模拟软件。我们的研究结果表明,典型的 5 层多公寓楼(60 套公寓)上的屋顶光伏系统可以覆盖高达 77% 的年用电量。此分析基于每小时的实际用电量数据。研究结果可以为现场储能的优化提供信息,以减轻光伏系统对电网的影响。所提出的解决方案适用于许多东欧国家和一些在 20 世纪下半叶受苏联影响的西欧国家。这些地区拥有相似的面板建造的多公寓住宅楼存量,并且具有相似的气候条件。