智能电网集成建筑的需求响应优化:技术推动因素和创新挑战回顾

IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Liana Toderean , Tudor Cioara , Ionut Anghel , Elissaios Sarmas , Vasilis Michalakopoulos , Vangelis Marinakis
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引用次数: 0

摘要

本文全面概述和分析了智能电网中楼宇集成的最新技术进展,重点介绍了楼宇参与需求响应(DR)的情况。我们整合了主要研究课题的高质量资料来源,帮助研究人员、楼宇业主和能源利益相关者了解该领域的最新发展、趋势和最佳实践。我们的综述涵盖了知名期刊论文,这些论文提供了关于楼宇互操作性、基于人工智能的能源预测模型、需求优化与协调、数据隐私和分散化的技术推动因素和基于证据的见解。灾难恢复中的建筑管理需要细致的协调和控制,因此我们通过研究欧盟的创新项目,确定技术创新趋势,旨在通过解决监管和社会经济问题来提高居民的参与度,从而为当前的实践和机遇提供有价值的见解。我们还讨论了楼宇参与可再生能源的主要障碍,确定了该领域未来的研究方向,并为楼宇业主和电网运营商提供了缓解影响的见解。我们的研究结果表明,尽管建筑物具有参与的潜力,但由于缺乏明确的监管框架,以及缺乏成熟的技术来全面支持和自动实施计划,建筑物的参与受到了限制。虽然人工智能和优化技术在改善需求协调方面大有可为,但建筑物与能源网之间有限的互操作性、隐私问题和财政激励不足等挑战极大地限制了建筑物对可再生能源的参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges

Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges
This paper provides a comprehensive overview and analysis of state-of-the-art technological advancements in building integration in smart grids, with a focus on enabling their participation in demand response (DR). We consolidate knowledge from high-quality sources on the main research topics, helping researchers, building owners, and energy stakeholders to stay informed about the latest developments, trends, and best practices in the field. Our review covers reputable journals papers that offer technological enablers and evidence-based insights on building interoperability, AI-based energy prediction models, demand optimization and coordination, data privacy, and decentralization. Managing buildings in DR requires careful coordination and control, thus we provide valuable insights into current practices and opportunities by examining the EU innovation projects and identifying technological innovation trends that aim to increase resident engagement by addressing regulatory and socio-economic concerns. We also discuss the main barriers to buildings’ participation in DR identifying future research directions in the field and providing mitigation insights to the building owners and grid operators. Our findings indicate that despite their potential building participation is limited due to the absence of a clear regulatory framework and lack of mature technologies to fully support and automate the programs implementation. While AI and optimization technologies show promise for improving demand coordination, challenges such as limited interoperability between buildings and energy grids, privacy concerns, and insufficient financial incentivization significantly limit the building’s participation in DR.
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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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