在能源使用时间和需求费率下住宅电表后储能的经济可行性

Ahmed Zurfi, Ghaidaa Albayati, Jing Zhang
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引用次数: 29

摘要

本文比较了利用表后电池储能(BMBES)进行分时(ToU)能源套利和降低需求费用(DC)的经济可行性。这项研究的重点是住宅应用,在这些应用中,BMBES被安装在最终用户的房屋内,并根据分时电价和直流电价计划用于每日循环,以节省每月的电费。在当前的美国电价下,讨论了使用两种BMBES系统的不同案例研究。并结合一栋美国两层住宅的实际负荷情况对两种系统进行了分析。不同的公用事业公司和不同的定价结构采用了许多分时电价和直流电价计划。首先,提出了每月电费节省的数学公式,以确定影响节省的不同技术和经济因素。然后,系统顾问模型(SAM)软件工具,它提供了电池存储系统的技术经济模型,用于每小时、每月和每年的分析。在每种情况下,从现金流量表、净现值和投资回收期的角度给出并讨论了BMBES系统的经济绩效。根据分析结果,提出了在当前储能价格和电价下,ToU能源套利和直流减排方案的盈利能力的一系列影响。这些启示对客户和从业人员选择和设计住宅电价是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic feasibility of residential behind-the-meter battery energy storage under energy time-of-use and demand charge rates
In this paper, the economic viability of using behind-the-meter battery energy storage (BMBES) for time-of-use (ToU) energy arbitrage and demand charge (DC) reduction is compared. The study focuses on residential applications where the BMBES is installed at end-users premises and used for daily cycling under ToU and DC plans for saving on monthly electricity bills. Under the current U.S. electricity prices, different case studies of using two BMBES systems are discussed. The two systems are analyzed with practical load profiles of a two-story American family house. A number of ToU and DC plans from different utility companies and with different pricing structures are applied. First, the mathematical formulation of the monthly savings in the electricity bill is presented to determine the different technical and economic factors that affect the savings. Then, the System Advisor Model (SAM) software tool, which provides a techno-economic model of battery storage systems, is used for hourly, monthly, and annual analysis. In each scenario, the economic performance of the BMBES systems in terms of the cash flow diagram, net present worth and payback period is presented and discussed. Based on the analysis results, a set of implications on the profitability of the ToU energy arbitrage and DC reduction schemes under current prices of energy storage and electricity rates are stated. Such implications can be beneficial to customers and practitioners for selecting and designing residential electric rates.
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