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A real-time control using wireless sensor network for intelligent energy management system in buildings

机译:使用无线传感器网络的楼宇智能能源管理系统实时控制

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Industrial evolution brings major new challenges due to increasing energy demands. This phenomenon encourages the improvement of control methodologies that reduce resource requirements. It has been lately observed that the building sector contributes considerably to final energy demand. For example, electricity used in France by this sector has reached 284TWh, accounting for 65% of all electricity consumed in 2007 (434TWh) [1], and this situation continues to increase. Moreover, the link between increased CO2 emissions and the use of energy is also considered, particularly in the building environment. 404 million tones of CO2 gas is emitted in France, and 22.6% originates from this sector [2].In the light of developments in microelectro-mechanical systems (MEMS), along with progress made in communication and embedded smart sensors, the building sector has a huge potential for mitigating demand. This paper deals with techniques and advanced load management strategies for BEMS. First, we present the architecture of this system that exploits several communication techniques. We then describe an application for a heating control which is based on the wireless sensor network (WSN). This application uses an innovative realtime control method that allows peak consumption to be reduced while maintaining thermal comfort. This method is tested and the experiment results demonstrate that the proposed method is able to control heating loads to adapt to any problems that may arise (by taking into account changing price, signals from energy provider and distribution system operator, etc).
机译:由于不断增长的能源需求,工业发展带来了重大的新挑战。这种现象鼓励改进控制方法以减少资源需求。最近发现,建筑部门对最终能源需求做出了很大贡献。例如,法国该部门使用的电力已达到284TWh,占2007年全部电力消耗的630TWh [1],并且这种情况还在继续增加。此外,还考虑了二氧化碳排放量增加与能源使用之间的联系,尤其是在建筑环境中。法国排放了4.04亿吨CO2气体,其中22.6%来自这一领域[2]。鉴于微机电系统(MEMS)的发展以及通信和嵌入式智能传感器的发展,建筑领域具有缓解需求的巨大潜力。本文讨论了BEMS的技术和高级负载管理策略。首先,我们介绍利用多种通信技术的该系统的体系结构。然后,我们描述基于无线传感器网络(WSN)的加热控制应用程序。此应用程序使用创新的实时控制方法,该方法可以在保持热舒适性的同时减少峰值消耗。测试了该方法,实验结果表明,该方法能够控制热负荷以适应可能出现的任何问题(通过考虑价格变化,能源供应商和配电系统运营商的信号等)。

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