Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data
Japan’s energy consumption in 2018 was about 2.5 times that in 1975, with the increase in the household sector being the largest at 28%. Most of primary energy is still fossil fuel, and it is urgent to reduce energy consumption in the household sector. The purpose of this paper was to identify ways...
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MDPI AG
2021-02-01
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Online Access: | https://www.mdpi.com/1996-1073/14/4/975 |
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author | Masato Oota Yumiko Iwafune Ryozo Ooka |
author_facet | Masato Oota Yumiko Iwafune Ryozo Ooka |
author_sort | Masato Oota |
collection | DOAJ |
description | Japan’s energy consumption in 2018 was about 2.5 times that in 1975, with the increase in the household sector being the largest at 28%. Most of primary energy is still fossil fuel, and it is urgent to reduce energy consumption in the household sector. The purpose of this paper was to identify ways to reduce household energy consumption without compromising the quality of life in residence. However, the reduction methods vary by region, building specifications, household type, equipment specifications, season, and weather. The value of this paper is based on a systematic analysis of home energy management systems (HEMS) data from about 50,000 households under various conditions. We are analyzing ways to reduce energy consumption. Few studies have analyzed this much back-up data, which is likely to lead to a reduction in CO<sub>2</sub> emissions across the household sector. To explore ways to reduce energy consumption in this sector, the company has introduced and provided services for home energy management systems (HEMS) since 2011 and is currently collecting HEMS data for up to 50,000 households. In order to grasp the actual state of energy consumption in each household, HEMS data are systematically analyzed, necessary conditions for energy reduction and self-sufficiency rate (<i>SSR</i>) improvement are analyzed, and energy consumption under certain conditions is estimated using storage batteries (SB) and heat pump water heaters (HPWH). In addition, energy consumption was investigated by actual measurement and simulation for several hundred households. Since power generation and consumption vary greatly depending on the region, building specifications, household type, equipment specifications, season, weather, etc., it is necessary to analyze these factors systematically. As a conclusion, in order to improve <i>SSR</i>, it is necessary to (1) reduce surplus power consumption and energy consumption of heat pump water heaters (HPWHs), (2) increase solar power generation, and (3) increase the size of SB. This study contributes to the spread of advanced housing and the reduction of CO<sub>2</sub> emissions in the household sector. |
first_indexed | 2024-03-09T00:55:40Z |
format | Article |
id | doaj.art-86b9e157e2124789b62093a7f21b441d |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-09T00:55:40Z |
publishDate | 2021-02-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-86b9e157e2124789b62093a7f21b441d2023-12-11T16:54:00ZengMDPI AGEnergies1996-10732021-02-0114497510.3390/en14040975Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System DataMasato Oota0Yumiko Iwafune1Ryozo Ooka2Sekisui Chemical Co., Ltd., Tokyo 186-0007, JapanInstitute of Industrial Science, University of Tokyo, Tokyo 153-8505, JapanInstitute of Industrial Science, University of Tokyo, Tokyo 153-8505, JapanJapan’s energy consumption in 2018 was about 2.5 times that in 1975, with the increase in the household sector being the largest at 28%. Most of primary energy is still fossil fuel, and it is urgent to reduce energy consumption in the household sector. The purpose of this paper was to identify ways to reduce household energy consumption without compromising the quality of life in residence. However, the reduction methods vary by region, building specifications, household type, equipment specifications, season, and weather. The value of this paper is based on a systematic analysis of home energy management systems (HEMS) data from about 50,000 households under various conditions. We are analyzing ways to reduce energy consumption. Few studies have analyzed this much back-up data, which is likely to lead to a reduction in CO<sub>2</sub> emissions across the household sector. To explore ways to reduce energy consumption in this sector, the company has introduced and provided services for home energy management systems (HEMS) since 2011 and is currently collecting HEMS data for up to 50,000 households. In order to grasp the actual state of energy consumption in each household, HEMS data are systematically analyzed, necessary conditions for energy reduction and self-sufficiency rate (<i>SSR</i>) improvement are analyzed, and energy consumption under certain conditions is estimated using storage batteries (SB) and heat pump water heaters (HPWH). In addition, energy consumption was investigated by actual measurement and simulation for several hundred households. Since power generation and consumption vary greatly depending on the region, building specifications, household type, equipment specifications, season, weather, etc., it is necessary to analyze these factors systematically. As a conclusion, in order to improve <i>SSR</i>, it is necessary to (1) reduce surplus power consumption and energy consumption of heat pump water heaters (HPWHs), (2) increase solar power generation, and (3) increase the size of SB. This study contributes to the spread of advanced housing and the reduction of CO<sub>2</sub> emissions in the household sector.https://www.mdpi.com/1996-1073/14/4/975home energy management systemenergy analysisphotovoltaicstorage batteryheat pump water heaterself-sufficiency rate |
spellingShingle | Masato Oota Yumiko Iwafune Ryozo Ooka Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data Energies home energy management system energy analysis photovoltaic storage battery heat pump water heater self-sufficiency rate |
title | Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data |
title_full | Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data |
title_fullStr | Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data |
title_full_unstemmed | Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data |
title_short | Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data |
title_sort | estimation of self sufficiency rate in detached houses using home energy management system data |
topic | home energy management system energy analysis photovoltaic storage battery heat pump water heater self-sufficiency rate |
url | https://www.mdpi.com/1996-1073/14/4/975 |
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