This paper demonstrates how achieving optimal integration between design and energy resources management can be particularly attractive in terms of energy consumption saving (cooling and heating) and lowering greenh...This paper demonstrates how achieving optimal integration between design and energy resources management can be particularly attractive in terms of energy consumption saving (cooling and heating) and lowering greenhouse gas emissions. The building automation system is based on innovative middleware framework which simplifies the modeling of a software for intelligent management of buildings and allows a multistandard and multiprotocol integration of sensors and actuators. The project has the target of underlining the economical opportunities and perspectives concerning the smart system adoption. Estimating the effects of home automation is essential to help its implementation, especially now that energy cost represents a consistent part of the house/building consumptions and will increase in the next few years. The results of the framework application in a residential building proves the validity of the proposed solution.展开更多
文摘This paper demonstrates how achieving optimal integration between design and energy resources management can be particularly attractive in terms of energy consumption saving (cooling and heating) and lowering greenhouse gas emissions. The building automation system is based on innovative middleware framework which simplifies the modeling of a software for intelligent management of buildings and allows a multistandard and multiprotocol integration of sensors and actuators. The project has the target of underlining the economical opportunities and perspectives concerning the smart system adoption. Estimating the effects of home automation is essential to help its implementation, especially now that energy cost represents a consistent part of the house/building consumptions and will increase in the next few years. The results of the framework application in a residential building proves the validity of the proposed solution.