TY - JOUR
T1 - Statistical analysis of air-conditioning and total load diversity in typical residential buildings
AU - Hisham, Naja Aqilah
AU - Salim, Sheikh Ahmad Zaki Shaikh
AU - Hagishima, Aya
AU - Yakub, Fitri
AU - Saipol, Hafizah Farhah Saipan
N1 - Funding Information:
This research was financially supported by Grant-in-Aid from the Research University Grant (01M46) from Universiti Teknologi Malaysia. Our sincere appreciation is extended to Mohd Zubaidi, Siti Sara Nursakinah and Nassir Ranjbar for their contribution in data collection.
Publisher Copyright:
© 2021, Institute of Advanced Engineering and Science. All rights reserved.
PY - 2020/2
Y1 - 2020/2
N2 - Electricity consumption by air-conditioners in residential buildings significantly affects the electrical grid. The stability of the grid can be improved by a precise prediction of air-conditioning (AC) variations. Therefore, more information about the electricity usage patterns specifically on AC load is important. This paper aims to determine the consumption patterns of AC and total load through a field measurement of 20 dwellings located in Kuala Lumpur and Selangor. Next, correlation and clustering are employed to identify the relationship between outdoor temperature and AC electricity consumption. The results revealed 75% of the occupants use the AC almost every day for about five to six hours per day at the rates of 0.93 kWh/day during day time and 3.43 kWh/day during night time. The correlation coefficient between the total daily AC consumption and the mean daily outdoor temperature ranged from-0.1 to 0.48. The variation of electricity consumption with time shows that AC electricity consumption increases with the increase of usage time. Lastly, the clustering process of AC usage pattern based on outdoor temperature displayed the uncommon behaviour from dwellings whereby high AC electricity consumption was recorded at low outdoor temperature.
AB - Electricity consumption by air-conditioners in residential buildings significantly affects the electrical grid. The stability of the grid can be improved by a precise prediction of air-conditioning (AC) variations. Therefore, more information about the electricity usage patterns specifically on AC load is important. This paper aims to determine the consumption patterns of AC and total load through a field measurement of 20 dwellings located in Kuala Lumpur and Selangor. Next, correlation and clustering are employed to identify the relationship between outdoor temperature and AC electricity consumption. The results revealed 75% of the occupants use the AC almost every day for about five to six hours per day at the rates of 0.93 kWh/day during day time and 3.43 kWh/day during night time. The correlation coefficient between the total daily AC consumption and the mean daily outdoor temperature ranged from-0.1 to 0.48. The variation of electricity consumption with time shows that AC electricity consumption increases with the increase of usage time. Lastly, the clustering process of AC usage pattern based on outdoor temperature displayed the uncommon behaviour from dwellings whereby high AC electricity consumption was recorded at low outdoor temperature.
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U2 - 10.11591/eei.v10i1.2299
DO - 10.11591/eei.v10i1.2299
M3 - Article
AN - SCOPUS:85091071684
SN - 2089-3191
VL - 10
SP - 1
EP - 9
JO - Bulletin of Electrical Engineering and Informatics
JF - Bulletin of Electrical Engineering and Informatics
IS - 1
ER -