کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
308244 | 513543 | 2012 | 7 صفحه PDF | دانلود رایگان |
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.
► A multi-agent control architecture is developed for building energy management.
► Occupants’ comfort level and total energy consumption are treated as two conflicting control objectives.
► An extended particle swarm optimization is used to deal with the multi-objective optimization problem.
Journal: Sustainable Cities and Society - Volume 2, Issue 1, February 2012, Pages 1–7