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Zero-Energy Buildings (ZEBs) have recently become a trend for future constructions. It remains challenging to design control systems for such buildings that require energy-efficiency and employ renewable energy. In this paper, we describe a simulation platform that can be used to energy management and comfort improvement in buildings. This platform provides a method to users to manage buildings through...
In this paper a fuzzy adaptive comfort temperature (FACT) model has been proposed for the intelligent control of smart buildings. A multi-agent control system is applied for the energy management and building operation. Particle Swarm Optimization (PSO) is applied to optimize the set points based on the comfort zone. Integrating a grey predictor to predict outdoor temperature with the FACT model shows...
In this paper, a multi-agent based control framework is proposed for energy and comfort management in integrated smart building and micro-grid systems. This micro-grid system operates independently from the power grid, and distributed renewable resources including solar, wind, and batteries supply power to the whole building. A multi-agent control system with particle swarm optimizer (PSO) is developed...
In this paper, a new control system with an intelligent optimizer is developed which can be applied to energy and comfort management in the smart and energy-efficient buildings. Hierarchical multi-agent theory is used to build this control system, which contains agent-controllers at two levels - a central coordinator-agent at the higher level and multiple local controller-agents at the lower level...
In many heat recovery processes, temperature control of heat source is often required to ensure safety and high efficiency of the heat source equipment. In addition, the management of recovered heat is important for the proper use of waste heat. To this aim, the concept of thermal management controller (TMC), which can vary heat transfer rate via the volume variation of non-condensable gas, was presented...
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