Intelligent multi-objective optimization for building energy and comfort management

Shaikh, P.H. and Nor, N.B.M. and Nallagownden, P. and Elamvazuthi, I. (2018) Intelligent multi-objective optimization for building energy and comfort management. Journal of King Saud University - Engineering Sciences, 30 (2). pp. 195-204. ISSN 10183639

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Abstract

The rapid economic and population growth in developing countries, effective and efficient energy usage has turned out to be crucial due to the rising concern of depleting fossil fuels, of which, one-third of primary energy is consumed in buildings and expected to rise by 53 up to 2030. This roaring sector posing a challenge, due to 90 of people spend most of their time in buildings, requires enhanced well-being of indoor environment and living standards. Therefore, building operations require more energy because most of the energy is consumed to make the indoor environment comfortable. Consequently, there is the need of improved energy efficiency to decrease energy consumption in buildings. In relation to this, the primary challenge of building control systems is the energy consumption and comfort level are generally conflicting to each other. Therefore, an important problem of sustainable smart buildings is to effectively manage the energy consumption and comfort and attain the trade-off between the two. Thus, smart buildings are becoming a trend of future construction that facilitates intelligent control in buildings for the fulfillment of occupant's comfort level. In this study, an intelligent multi-objective system has been developed with evolutionary multi-objective genetic algorithm (MOGA) optimization method. The corresponding case study simulation results for the effective management of users� comfort and energy efficiency have been carried out. The case study results show the management of energy supply for each comfort parameter and maintain high comfort index achieving balance between the energy consumption and comfort level. © 2016 The Authors

Item Type: Article
Additional Information: cited By 41
Uncontrolled Keywords: Buildings; Developing countries; Economic and social effects; Energy utilization; Fossil fuels; Genetic algorithms; Management; Multiobjective optimization; Optimization; Population statistics, Building control systems; Building operations; Comfort; Effective management; Energy; Evolutionary Multi-objectives; Optimization method; Trade off, Energy efficiency
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:37
Last Modified: 09 Nov 2023 16:37
URI: https://khub.utp.edu.my/scholars/id/eprint/10381

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