Development of a model for generating air-conditioner operation schedules in Malaysia

• Main Authors: Zaki, S. A., Hagishima, A., Fukami, R., Fadhilah, N.
• Format: Article
• Published: Elsevier Ltd 2017
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/75459/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021173494&doi=10.1016%2fj.buildenv.2017.06.023&partnerID=40&md5=479f0cad9c79cc1518ecfb3455b47c5b
• Institution: Universiti Teknologi Malaysia

The authors conducted field measurements of the air conditioner (A/C) usage behaviour of occupants in 38 dwellings in Kuala Lumpur, Malaysia to understand the stochastic nature of energy demand for A/Cs. The measured A/C operation schedules were compiled as probability density distributions of duration, start and end times, and frequency of A/C events for each day. Based on this, a simple algorithm to synthesize stochastic time patterns of A/C operation schedules was developed. The validity of the model was demonstrated through comparison with observational data.