A Cloud-Based Energy Management System for Building Managers
A Cloud-Based Energy Management System for Building Managers
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DOI：
10.1145/3053600.3053613
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
C. Marmaras;Amir Javed;O. Rana;L. Cipcigan
中科院分区：
文献类型：
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作者：
C. Marmaras;Amir Javed;O. Rana;L. Cipcigan
描述了一种本地能源管理系统(LEMS)，用于控制建筑环境中的电动汽车充电和储能单元。为此，LEMS预测了三合会高峰最有可能的半小时，并预测了当时建筑设施的电力需求。设计了三种运行算法，使LEMS能够(I)平坦化建筑设施的需求轮廓并降低其峰值，(Ii)减少建筑设施在三合一高峰期间的需求，以降低输电网络使用系统(TNUoS)费用，以及(Iii)使建筑经理能够通过需求侧响应参与电网平衡服务市场。LEMS部署在一个基于云的系统上，并在英国曼彻斯特的一个真实建筑设施上进行了演示。
A Local Energy Management System (LEMS) is described to control Electric Vehicle charging and Energy Storage Units within built environments. To this end, the LEMS predicts the most probable half hours for a triad peak, and forecasts the electricity demand of a building facility at those times. Three operational algorithms were designed, enabling the LEMS to (i) flatten the demand profile of the building facility and reduce its peak, (ii) reduce the demand of the building facility during triad peaks in order to reduce the Transmission Network Use of System (TNUoS) charges, and (iii) enable the participation of the building manager in the grid balancing services market through demand side response. The LEMS was deployed on over a cloud-based system and demonstrated on a real building facility in Manchester, UK.