Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 2, Issue 1, Pages 1-7Publisher
ELSEVIER
DOI: 10.1016/j.scs.2011.09.001
Keywords
Building automation and control; Energy and comfort management; Multi-objective optimization
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Smart buildings are becoming a trend of next-generation's commercial buildings, which facilitate intelligent control of the building to fulfill occupants' needs. The primary challenge in building control is that the energy consumption and the comfort level in a building environment often conflict with each other. In this study, to effectively manage the energy consumption and occupants' comfort, a multi-agent based control framework is proposed for smart building applications. The energy consumption and the overall comfort level are considered as two control objectives in the system design. Two multi-objective optimization methods including multi-objective particle swarm optimization (MOPSO) and weighted aggregation are utilized to generate the Pareto fronts which are made up of Pareto-optimal solutions. These tradeoff solutions are useful to informed decision-making for energy and comfort management in the complex building environments. (C) 2011 Elsevier B.V. All rights reserved.
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