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...

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Main Authors: Ono, T., Hagishima, A., Tanimoto, J., Zaki, S. A., Hisham, N. A.
Format: Conference or Workshop Item
Language:English
Published: 2019
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Online Access:http://eprints.utm.my/id/eprint/89736/1/TetsushiOno2019_StatisticalAnalysisofAirConditioning.pdf
http://eprints.utm.my/id/eprint/89736/
https://dx.doi.org/10.1051/e3sconf/201911104057
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.897362021-02-22T01:44:56Z http://eprints.utm.my/id/eprint/89736/ Statistical analysis of air conditioning peak loads of multiple dwellings Ono, T. Hagishima, A. Tanimoto, J. Zaki, S. A. Hisham, N. A. T Technology (General) 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. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/89736/1/TetsushiOno2019_StatisticalAnalysisofAirConditioning.pdf Ono, T. and Hagishima, A. and Tanimoto, J. and Zaki, S. A. and Hisham, N. A. (2019) Statistical analysis of air conditioning peak loads of multiple dwellings. In: 13th REHVA World Congress, CLIMA 2019, 26-29 May 2019, Bucharest, Romania. https://dx.doi.org/10.1051/e3sconf/201911104057
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ono, T.
Hagishima, A.
Tanimoto, J.
Zaki, S. A.
Hisham, N. A.
Statistical analysis of air conditioning peak loads of multiple dwellings
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.
format Conference or Workshop Item
author Ono, T.
Hagishima, A.
Tanimoto, J.
Zaki, S. A.
Hisham, N. A.
author_facet Ono, T.
Hagishima, A.
Tanimoto, J.
Zaki, S. A.
Hisham, N. A.
author_sort Ono, T.
title Statistical analysis of air conditioning peak loads of multiple dwellings
title_short 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_sort statistical analysis of air conditioning peak loads of multiple dwellings
publishDate 2019
url http://eprints.utm.my/id/eprint/89736/1/TetsushiOno2019_StatisticalAnalysisofAirConditioning.pdf
http://eprints.utm.my/id/eprint/89736/
https://dx.doi.org/10.1051/e3sconf/201911104057
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