Local energy monitoring to support smart energy management and decarbonized town development

Introduction With the increase in variable renewable energy and liberalization of the electricity retail market, the integrated energy management of demand and supply has become crucial, complementing traditional energy-saving efforts. Therefore, high-resolution energy demand-side information, accounting for household attributes and owned equipment, is essential. However, previous studies have identified energy consumption based on surveys of utility bill payments; this approach does not provide detailed, hourly data on electricity demand, which changes over time owing to lifestyle patterns and weather conditions. Therefore, we aimed to investigate the actual electricity consumption in residential buildings in Shinchi Town using the developed electricity monitoring system.Material and Method In support of regional disaster recovery initiatives, we developed a regional information and communication technology (ICT) system as a network interface for residents. As part of a social experiment, network terminals of the local ICT system were distributed to approximately 100 households in the town. Power monitoring data were collected via equipment installed in home distribution boards and centrally managed by a cloud server.Results and Conclusion We analyzed electric power consumption patterns, focusing on household attributes, seasonal variations in hot-water-supply device usage, and differences between weekdays and holidays. The results indicated that the use of electric power to heat water notably contributed to overall consumption. We analyzed seasonal variation and temperature sensitivity of electricity consumption based on electricity monitoring data from houses and clarified characteristics based on household attributes and equipment. This result is important because it indicates a strong potential for balancing supply and demand in local power management.

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Publication Details

Journal
Sustainable communities.
Published
2025-04-17
DOI
https://doi.org/10.1080/29931282.2025.2490525
Citations
2
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
1.46

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article

Local energy monitoring to support smart energy management and decarbonized town development

Takuya Togawa, Shuichi Ashina, Tsuyoshi Fujita, Kei Gomi et al.
2 citations
Sustainable communities.
Smart Grid Energy Management
1.46
article

Local energy monitoring to support smart energy management and decarbonized town development

Takuya Togawa, Shuichi Ashina, Tsuyoshi Fujita, Kei Gomi, Ayami Otsuka, Shogo Nakamura, Yujiro Hirano
article en
2 citations

Abstract

Introduction With the increase in variable renewable energy and liberalization of the electricity retail market, the integrated energy management of demand and supply has become crucial, complementing traditional energy-saving efforts. Therefore, high-resolution energy demand-side information, accounting for household attributes and owned equipment, is essential. However, previous studies have identified energy consumption based on surveys of utility bill payments; this approach does not provide detailed, hourly data on electricity demand, which changes over time owing to lifestyle patterns and weather conditions. Therefore, we aimed to investigate the actual electricity consumption in residential buildings in Shinchi Town using the developed electricity monitoring system.Material and Method In support of regional disaster recovery initiatives, we developed a regional information and communication technology (ICT) system as a network interface for residents. As part of a social experiment, network terminals of the local ICT system were distributed to approximately 100 households in the town. Power monitoring data were collected via equipment installed in home distribution boards and centrally managed by a cloud server.Results and Conclusion We analyzed electric power consumption patterns, focusing on household attributes, seasonal variations in hot-water-supply device usage, and differences between weekdays and holidays. The results indicated that the use of electric power to heat water notably contributed to overall consumption. We analyzed seasonal variation and temperature sensitivity of electricity consumption based on electricity monitoring data from houses and clarified characteristics based on household attributes and equipment. This result is important because it indicates a strong potential for balancing supply and demand in local power management.

Sustainable communities.Vol. 2(1)
National Institute for Environmental Studies (JP), Institute for Future Engineering (JP), The University of Tokyo (JP)
Swine Innovation Porc, Ministry of Education, Culture, Sports, Science and Technology, Council for Science, Technology and Innovation
Sustainable cities and communities
Openalex Percentile: Top 18%
Smart Grid Energy Management
1.46
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