Open AccessIntelligent Optimized Control System for Energy and Comfort Management in Efficient and Sustainable Buildings
Author(s) -
Pervez Hameed Shaikh,
Nursyarizal Mohd Nor,
Perumal Nallagownden,
Irraivan Elamvazuthi
Publication year - 2013
Publication title -
procedia technology
Language(s) - English
Resource type - Journals
ISSN - 2212-0173
DOI - 10.1016/j.protcy.2013.12.167
Subject(s) - multi objective optimization , pareto principle , building automation , engineering , energy consumption , genetic algorithm , control (management) , energy management , efficient energy use , index (typography) , actuator , scheme (mathematics) , energy (signal processing) , architectural engineering , control engineering , computer science , operations management , artificial intelligence , world wide web , mathematical analysis , physics , statistics , electrical engineering , mathematics , machine learning , thermodynamics
Building energy efficiency and management provides remarkable automation opportunities, which fulfills dwellers comfort index. The challenging issue of the building envelope is to save energy and achieve high comfortable environment simultaneously. In this study, control system behavioral model with its framework has been developed for smart buildings. The power consumption of the actuator system and comfort index are two control optimization objectives in the system design. Two functions utilize Multi-objective Genetic Algorithm (MOGA) to generate Pareto front, obtained from the Pareto optimal solutions for multi-dimensional problem. The acquired non-dominated solutions are significant for building energy and comfort management in informed decision-making
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