非住宅楼宇的需求弹性特征:检讨

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS
Xinlei Zhou , Emily W. Yap , Wanbin Dou , Mingyang Huang , Muhammad Shahbaz Aziz , Duane A. Robinson , Clayton McDowell , Stephen D. White , Mark Goldsworthy , Subbu Sethuvenkatraman , Sheikh Khaleduzzaman Shah , Matt Amos , Zhenjun Ma
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引用次数: 0

摘要

需求灵活性已成为建筑设计和控制的重要考虑因素,以改善电网兼容性和无排放操作。虽然有一些评论论文集中在住宅建筑的灵活性上,但总结非住宅建筑灵活性相关研究的评论尚未得到全面报道。这项研究解决了这一差距,并对非住宅建筑需求灵活性特征的现有方法进行了回顾。关键要素和组成部分进行了检查和调查,包括能源柔性来源的性质和特征,需求响应控制策略,灵活性指标和量化功能,灵活性特征和聚合方法,以及增强需求灵活性的电网集成控制。研究发现,供暖、通风和空调(HVAC)系统是现有研究中最普遍的能源柔性来源。已经建立了广泛的需求灵活性指标和量化功能,其中大多数依赖于可靠的建筑物性能基线作为比较基准。现有的研究主要是通过模拟进行的,而有限数量的研究采用了实验方法。优化算法常用于需求柔性聚合和并网控制策略的开发,但其实际应用的可行性研究还不够充分。未来的工作可能侧重于开发易于部署的框架,特别侧重于开发无基线指标、开源平台和实验性表征程序,以用于非住宅建筑的灵活性表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demand flexibility characterisation in non-residential buildings: A review
Demand flexibility has become a significant consideration in the design and control of buildings for improved grid compatibility and emission-free operations. While there are review papers that have focused on flexibility in residential buildings, reviews that summarise the flexibility-related research in non-residential buildings have not been comprehensively reported. This study addresses that gap and provides a review of existing methodologies for demand flexibility characterisation of non-residential buildings. Critical elements and components are examined and investigated, including the nature and characteristics of energy flexible sources, demand response control strategies, flexibility indicators and quantification functions, flexibility characterisation and aggregation methods, and grid-integrated control for enhanced demand flexibility. It was found that Heating, Ventilation and Air Conditioning (HVAC) systems are the most prevalent energy flexible sources considered in existing studies. A wide range of demand flexibility indicators and quantification functions have been established and most of them rely on a reliable baseline of building performance to serve as a benchmark for comparison. The existing studies have primarily been conducted through simulations, while a limited number of studies used an experimental approach. Optimisation algorithms are often used for demand flexibility aggregation and the development of grid-integrated control strategies, while the feasibility of their practical applications has not been sufficiently studied. Future efforts could focus on the development of easy-to-deploy frameworks with a particular focus on the development of baseline-free indicators, open-source platforms and experimental characterisation procedures for flexibility characterisation of non-residential buildings.
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来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
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