Issue |
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
|
|
---|---|---|
Article Number | 04057 | |
Number of page(s) | 7 | |
Section | High Energy Performance and Sustainable Buildings, Simulation models and predictive tools for the buildings HVAC, IEQ and energy | |
DOI | https://doi.org/10.1051/e3sconf/201911104057 | |
Published online | 13 August 2019 |
Statistical analysis of air conditioning peak loads of multiple dwellings
1 Interdisciplinary Graduate School of Science Engineering (IGSES), Kyushu University Kasuga-koen 6-1, Kasuga-shi, Fukuoka, 816-8580, Japan
2 Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia Jalan Semarak, 54100, Kuala Lumpur, Malaysia
* Corresponding author: tetsushi.112231@gmail.com
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:
© The Authors, published by EDP Sciences, 2019
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