楼宇能源主动管理的专家智能工具

Stefanos Michos, Dimitris Tsipianitis, P. Groumpos
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引用次数: 0

摘要

商业建筑业主将30%的运营预算用于能源。通过改进BEM实践,可以降低成本。优化建筑性能减少了对电网能源和现场燃烧燃料的需求,同时最大限度地减少了发电的碳排放,提高了居住者的舒适度。模糊逻辑确保赋予当前BEMS内置智能,能够提高其管理复杂基础设施的性能,包括hvac,冰箱,光伏电站,泵等。为此,目前在异常检测、实时活动识别和非侵入式负载监测方面正在进行大量工作。为了支持前面的考虑,本案例研究的重点是基于从希腊雅典的一座商业建筑收集的数据,对基于云的能源负荷进行分解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expert Intelligence Tools for Proactive Energy Management in Buildings
Commercial building owners spend 30% of their operating budget on energy. Costs can be reduced with improved BEM practices. Optimising building performance reduces demand for energy from the grid and fuels burned on site, while on the same time minimizes carbon emissions from electricity generation and improves occupant comfort. Fuzzy logic ensures to endow current BEMS with built-in intelligence capable of improving their performance in managing complex infrastructures consisting of HVACs, refrigerators, PV plants, pumps, etc. To this end, substantial work is currently being done in anomaly detection, real-time activity recognition and non-intrusive load monitoring. To support the previous considerations, this case study focus on the disaggregation of cloud based energy loads based on data collected from a commercial building located in Athens, Greece.
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