Indoor comfort and energy consumption optimization using an inertia weight artificial bee colony algorithm

• Main Authors: Farah Nur Arina, Baharudin, Nor Azlina, Ab. Aziz, Mohamad Razwan, Abdul Malek, Anith Khairunnisa, Ghazali, Zuwairie, Ibrahim
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/40234/1/Indoor%20comfort%20and%20energy%20consumption%20optimization.pdf; http://umpir.ump.edu.my/id/eprint/40234/; https://doi.org/10.3390/a15110395; https://doi.org/10.3390/a15110395

A comfortable indoor environment contributes to a better quality of life and wellbeing for its occupants. The indoor temperature, lighting, and air quality are the main controlling factors of user comfort levels. The optimum control of the lighting, air conditioners, and air ventilators helps in max...