TY - JOUR
T1 - Statistical analysis of air conditioning peak loads of multiple dwellings
AU - Ono, Tetsushi
AU - Hagishima, Aya
AU - Tanimoto, Jun
AU - Zaki, Sheikh Ahmad
AU - Hisham, Naja Aqilah
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0
PY - 2019/8/13
Y1 - 2019/8/13
N2 - 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.
AB - 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.
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U2 - 10.1051/e3sconf/201911104057
DO - 10.1051/e3sconf/201911104057
M3 - Conference article
AN - SCOPUS:85071891025
SN - 2555-0403
VL - 111
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 04057
T2 - 13th REHVA World Congress, CLIMA 2019
Y2 - 26 May 2019 through 29 May 2019
ER -
