Statistical analysis of air conditioning peak loads of multiple dwellings
Evaluation of the aggregated air-conditioning load of multiple dwellings is important for demand response through the optimum control of numerous air-conditioners (A/Cs), for development of smart-city or smart-community technologies. However, past studies have mainly focused on the characteristics o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04057.pdf |
| _version_ | 1818615278751186944 |
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| author | Ono Tetsushi Hagishima Aya Tanimoto Jun Ahmad Zaki Sheikh Aqilah Hisham Naja |
| author_facet | Ono Tetsushi Hagishima Aya Tanimoto Jun Ahmad Zaki Sheikh Aqilah Hisham Naja |
| author_sort | Ono Tetsushi |
| collection | DOAJ |
| description | Evaluation of the aggregated air-conditioning load of multiple dwellings is important for demand response through the optimum control of numerous air-conditioners (A/Cs), for development of smart-city or smart-community technologies. However, past studies have mainly focused on the characteristics of A/C load in a single household. With this background, the authors conducted statistical analysis of time-series data for A/C electricity consumption in 489 dwellings in Osaka, Japan, and 20 dwellings in Kuala Lumpur, Malaysia to grasp the feature of aggregated A/C load of multiple dwellings. The findings of this analysis are followings: 1) the aggregated A/C load peak per dwelling decreased by almost 50% as the number of dwellings increased from 1 to 10, due to the offset of the diverse time-patterns of A/C load. 2) The occurrence of the top 2.5% A/C load shows strong time and date dependency for an A/C load aggregated by many dwellings: |
| first_indexed | 2024-12-16T16:31:22Z |
| format | Article |
| id | doaj.art-988a372647a94deba378b1a50ffd368e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T16:31:22Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-988a372647a94deba378b1a50ffd368e2022-12-21T22:24:34ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011110405710.1051/e3sconf/201911104057e3sconf_clima2019_04057Statistical analysis of air conditioning peak loads of multiple dwellingsOno Tetsushi0Hagishima Aya1Tanimoto Jun2Ahmad Zaki Sheikh3Aqilah Hisham Naja4Interdisciplinary Graduate School of Science Engineering (IGSES), Kyushu University Kasuga-koen 6-1Interdisciplinary Graduate School of Science Engineering (IGSES), Kyushu University Kasuga-koen 6-1Interdisciplinary Graduate School of Science Engineering (IGSES), Kyushu University Kasuga-koen 6-1Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia Jalan SemarakMalaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia Jalan SemarakEvaluation of the aggregated air-conditioning load of multiple dwellings is important for demand response through the optimum control of numerous air-conditioners (A/Cs), for development of smart-city or smart-community technologies. However, past studies have mainly focused on the characteristics of A/C load in a single household. With this background, the authors conducted statistical analysis of time-series data for A/C electricity consumption in 489 dwellings in Osaka, Japan, and 20 dwellings in Kuala Lumpur, Malaysia to grasp the feature of aggregated A/C load of multiple dwellings. The findings of this analysis are followings: 1) the aggregated A/C load peak per dwelling decreased by almost 50% as the number of dwellings increased from 1 to 10, due to the offset of the diverse time-patterns of A/C load. 2) The occurrence of the top 2.5% A/C load shows strong time and date dependency for an A/C load aggregated by many dwellings:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04057.pdf |
| spellingShingle | Ono Tetsushi Hagishima Aya Tanimoto Jun Ahmad Zaki Sheikh Aqilah Hisham Naja Statistical analysis of air conditioning peak loads of multiple dwellings E3S Web of Conferences |
| title | Statistical analysis of air conditioning peak loads of multiple dwellings |
| title_full | Statistical analysis of air conditioning peak loads of multiple dwellings |
| title_fullStr | Statistical analysis of air conditioning peak loads of multiple dwellings |
| title_full_unstemmed | Statistical analysis of air conditioning peak loads of multiple dwellings |
| title_short | Statistical analysis of air conditioning peak loads of multiple dwellings |
| title_sort | statistical analysis of air conditioning peak loads of multiple dwellings |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04057.pdf |
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