Optimal storage capacity for building photovoltaic-energy storage systems considering energy flexibility management

IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Yaling Wu , Zhongbing Liu , Benjia Li , Haixia Liu , Ruimiao Liu , Ling Zhang
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Abstract

Energy storage plays a crucial role in addressing the mismatch between the energy supply of renewable energy generation and building demand and enhancing building energy flexibility. However, the specific requirement of building flexibility management is often neglected in the design of building storage systems, making it challenging to maintain economic efficiency when regulating building energy flexibility in operation. This study presents a capacity optimization model for building energy storage systems that incorporates the building energy flexibility requirement, measured by the load shifting capacity ratio (LSCR), to minimize the net present cost (NPC). The relationships between energy flexibility and cost-efficiency were analyzed for three systems: photovoltaic-battery energy storage (PV-BES), photovoltaic-thermal energy storage (PV-TES), and photovoltaic-hybrid energy storage (PV-HES). The results showed that the PV-HES system achieves the highest economic efficiency among the three systems across different LSCRs, and its NPC with the LSCR of 1 is 76% lower than that with the LSCR of 0.1. Furthermore, an analysis of the impacts of the peak-to-valley ratio for the time-of-use (TOU) tariff on storage capacity optimization for the PV-HES system demonstrates that the valley price ratio has a greater impact on the NPC than the peak price ratio for the PV-HES system. Also, it suggests that building energy flexibility can be managed by adjusting the peak-to-valley ratio of the TOU tariff. This study offers a new design method for building energy storage to promote effective energy flexibility management.
考虑能量柔性管理的光伏储能系统的最优存储容量
储能在解决可再生能源发电的能源供应与建筑需求不匹配以及提高建筑能源灵活性方面发挥着至关重要的作用。然而,在建筑蓄能系统的设计中,往往忽略了建筑柔性管理的具体要求,使得在调节建筑能源运行灵活性的同时,如何保持经济效益成为一个难题。本文提出了一个建筑储能系统容量优化模型,该模型考虑了以负荷转移容量比(LSCR)衡量的建筑能源灵活性需求,以使净当前成本(NPC)最小化。分析了光伏-电池储能(PV-BES)、光伏-热储能(PV-TES)和光伏-混合储能(PV-HES)三种系统的能量柔性与成本效益之间的关系。结果表明:在不同LSCR下,PV-HES系统的经济效益最高,LSCR为1时的NPC比LSCR为0.1时的NPC低76%;此外,分析了分时电价峰谷比对光伏- hes系统容量优化的影响,发现谷价比对光伏- hes系统NPC的影响大于峰价比。此外,该研究还表明,可以通过调整分时电价的峰谷比来管理建筑能源灵活性。本研究为建筑储能提供了一种新的设计方法,促进有效的能源柔性管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy and Buildings
Energy and Buildings 工程技术-工程:土木
CiteScore
12.70
自引率
11.90%
发文量
863
审稿时长
38 days
期刊介绍: An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.
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