Electricity demand load curves of all-electric houses and measures for effective use of solar power generation
Year: 2024
Type: article
Abstract: To realize a carbon-neutral society, the utilization of renewable energy is as important as saving energy, and the prevention of solar power curtailment is an important issue. Previous studies have not sufficiently examined the potential for adjustment that considers the actual power consumption and characteristics of housing. This study addressed the possibility of increasing the self-consumption of solar power generation by shifting the timing of the electricity demand of all-electric houses from night to day. To accomplish this, Home Energy Management System data were used to generate electricity demand curves. The average self-consumption rate was 36%, and all the target houses had the potential to reduce the surplus electricity sold. Because demand curves depend on the lifestyle of the occupants and lifestyle influences the possibility of improvement, the difference in demand between houses was accounted for via cluster analysis. The cluster analysis clarified the proportion of houses for which the measures implemented to increase self-consumption were effective. In most houses, electricity and hot water were stored during the nighttime; however, operating a storage battery and a heat pump water heater generated daytime demands of approximately 1100 and 1200 kWh/year, respectively. Additionally, the capacities of the storage batteries of the target houses were 5.6-6.5 kWh; however, to prepare for outages, the daily amount charged relative to the capacity was small. The capacity can be increased to reduce power purchased and sold. These results can contribute to the development of effective decarbonization strategies and mitigation of climate change via avoiding output curtailment.
Source: Energy and Buildings
Authors: Mao Serikawa, Seiichi Kashihara
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,180
OpenAlex ID: W4405942284