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A conceptual model of a smart energy management system for a residential building equipped with CCHP system

机译:配备CCHP系统的住宅智能能源管理系统的概念模型

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Buildings play an important role in the energy consumption sector as reports from the US Department of Energy (DOE) declare that most of the electricity usage in USA attributed to the buildings. To improve the energy quality of this important area, novel technologies and operation methods are being industrialized every day. Combined Cooling Heating and Power (CCHP) systems are one of the most advanced technologies to satisfy all thermal/cooling and electrical demands, integrating Distributed Generation (DG) units, heat recovery system, and refrigeration equipment. To coordinate scheduling of CCHP with Energy Storage Systems (ESSs) and renewable units, a reliable Energy Management System (EMS) needs to be developed. It is assumed that smart meters collect measured data from different devices. However, refining and processing this data seems necessary before utilizing into the EMS. This paper presents a Smart EMS (SEMS) for application in a residential Micro-Grid (MG) with high penetration of Distributed Energy Resources (DERs) including a CCHP system. The optimization problem is solved with objective of minimizing the building's energy operation costs for both deterministic and stochastic case studies. Simulation results confirm the effectiveness of the proposed SEMS in altered case studies for different days. It is also shown that the application of CCHP equipped with a smart controller could reduce the operating cost significantly. (C) 2017 Elsevier Ltd. All rights reserved.
机译:建筑物在能源消耗领域起着重要的作用,因为美国能源部(DOE)的报告表明,美国的大部分用电量都归因于建筑物。为了提高这一重要地区的能源质量,每天都在工业化新颖的技术和操作方法。组合式制冷供热(CCHP)系统是满足所有热/制冷和电气需求的最先进技术之一,它集成了分布式发电(DG)单元,热回收系统和制冷设备。为了协调CCHP与储能系统(ESS)和可再生能源单元的调度,需要开发可靠的能源管理系统(EMS)。假定智能电表从不同设备收集测量数据。但是,在将这些数据用于EMS之前,有必要对其进行完善和处理。本文提出了一种智能EMS(SEMS),该智能EMS(SEMS)可用于具有CCHP系统的分布式能源(DER)的高渗透率的住宅微电网(MG)。解决该优化问题的目的是在确定性和随机案例研究中将建筑物的能源运营成本降至最低。仿真结果证实了拟议的SEMS在不同日期的案例研究中的有效性。还表明,配备智能控制器的CCHP的应用可以显着降低运营成本。 (C)2017 Elsevier Ltd.保留所有权利。

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