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One of the major tasks for achieving building automation is to implement an effective control strategy on the heating, ventilating and air conditioning (HVAC) systems. The HVAC system should be properly controlled to provide a relatively constant and comfortable temperature as well as fresh and filtered air with a comfortable humidity range to the buildings. In this work, a hierarchical control structure...
Heating, ventilating and air conditioning (HVAC) systems have played an important role in building energy and comfort management. It is designed to provide a relatively constant and comfortable temperature in buildings and provide fresh and filtered air with a comfortable humidity level. In this paper, an optimal control strategy is proposed to control the HVAC system for maintaining building's indoor...
Smart and energy-efficient buildings have recently become a trend for future building industry. The major challenge in the control system design for such a building is to minimize the power consumption without compromising the customers comfort. For this purpose, a hierarchical multiagent control system with an intelligent optimizer is proposed in this study. Four types of agents, which are switch...
Intelligent buildings are a trend of next-generation's buildings, which facilitate intelligent control of the building in order to fulfill occupants' comfort demands. The primary objective in building control is to achieve a comfortable building environment with high energy efficiency. By dividing the whole building into several zones, a multi-zone building model is built for developing an effective...
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...
The primary control objectives for intelligent and green buildings focus on maintaining occupants' comfort while minimizing energy consumption in building operations. This paper describes a multi-agent control system which is designed for building energy management. Particle Swarm Optimization (PSO) is utilized to optimize the control system to improve users' comfort and save energy. In order to maximize...
From the perspective of system control, the smart and green building is a large-scale dynamic system with high complexity and huge amount of information. Proper combination of the available information and effective control of the overall building system turn out to be a big challenge. In this study, we proposed a building indoor energy and comfort management model based on information fusion using...
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 issue of building control is that the energy consumption and the comfort value in a building environment are inevitably conflicting with each other. To study the relation between energy consumption and occupants' comfort, a multi-agent...
The big challenge of the control system for the intelligent and green building is to maintain the maximum customer comfort with minimum energy consumption. In the paper, a customer-centered multi-agent control system is proposed to meet the challenge. Four different kinds of agents are described, which are switch agent, central coordinator-agent, local controller-agents and load agent. Particle swarm...
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 this paper, a multi-agent intelligent control system is applied to design a control system for smart and sustainable buildings. Smart and sustainable buildings require solving conflicts between energy consumption and indoor comfort level. Also, user preferences should be taken consideration in the control system design. Hierarchical control architecture is introduced and utilized to design such...
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