A systematic review towards integrative energy management of smart grids and urban energy systems

被引:41
作者
Zheng, Zhuang [1 ]
Shafique, Muhammad [2 ]
Luo, Xiaowei [3 ]
Wang, Shengwei [1 ,4 ]
机构
[1] Hong Kong Polytech Univ, Dept Bldg Environm & Energy Engn, Kowloon, Hong Kong, Peoples R China
[2] Brunel Univ London, Dept Civil & Environm Engn, London, England
[3] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
[4] Hong Kong Polytech Univ, Res Inst Smart Energy, Kowloon, Hong Kong, Peoples R China
关键词
Smart grid; Smart urban energy system; Integrative energy management; Cyber-physical-social system; Process integration; Upscaling; POWER-TO-GAS; OF-THE-ART; ELECTRIC VEHICLES; OCCUPANCY PREDICTION; DEMAND RESPONSE; GENERATION; MODEL; CITY; SIMULATION; DESIGN;
D O I
10.1016/j.rser.2023.114023
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a systematic review to align current and future research in smart grids (SG) and smart urban energy systems (SUES) and unify the diverse but fragmented research in urban energy management. First, the common research themes repeatedly appearing in the SG and SUES literature are categorized into logical physical, cyber, and social energy processes. Critical findings are summarized for each part, i.e., the advances and trends in physical energy generation, transmission, consumption, and storage processes of cities for energy interventions, the cyber process chain of energy sensing, modeling, forecasting, scheduling, coordinating, and adapting for enhancing the "smartness" of power and urban energy systems, and the social energy processes of understanding, protecting, engaging, and governing human to be a new smartness dimension. Second, the process-based framework provides insights on the design and implementation of SG and SUES for engineers, planners, and policymakers, such as optimizing the system performance by upgrading individual processes and exploring new links among identified physical, cyber, and social energy processes. The upscaling barriers and strategies of sustainable energy technologies in the development and deployment stages are also summarized to scale up sustainable energy processes to a higher level. Finally, future research directions are envisioned, including developing data markets, privacy-preserving data sharing and analytics for urban-scale energy modeling, refining policy and standards for safety, privacy, cybersecurity, and interoperability issues, assessing technology maturity and energy system success factors, and removing regulatory and structural barriers.
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页数:21
相关论文
共 161 条
  • [1] Abdou I., 2018, Int. J. Electr. Comput. Eng, V8, P1357, DOI DOI 10.11591/IJECE.V8I3.PP1357-1372
  • [2] Socio-technical evolution of Decentralized Energy Systems: A critical review and implications for urban planning and policy
    Adil, Ali M.
    Ko, Yekang
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 57 : 1025 - 1037
  • [3] Building energy metering and environmental monitoring - A state-of-the-art review and directions for future research
    Ahmad, Muhammad Waseem
    Mourshed, Monjur
    Mundow, David
    Sisinni, Mario
    Rezgui, Yacine
    [J]. ENERGY AND BUILDINGS, 2016, 120 : 85 - 102
  • [4] Network selection criterion for ubiquitous communication provisioning in smart cities for smart energy system
    Ahuja, Kiran
    Khosla, Arun
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2019, 127 : 82 - 91
  • [5] Preventive maintenance scheduling of electricity distribution network feeders to reduce undistributed energy: A case study in Iran
    Alimohammadi, M.
    Behnamian, J.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 201
  • [6] Energy and water as indicators for sustainable city site selection and design in Jordan using smart grid
    Alkhalidi, Ammar
    Qoaider, Louy
    Khashman, Amjad
    Al-Alami, Abdel Rahman
    Jiryes, Said
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2018, 37 : 125 - 132
  • [7] A review of modelling approaches and tools for the simulation of district-scale energy systems
    Allegrini, Jonas
    Orehounig, Kristina
    Mavromatidis, Georgios
    Ruesch, Florian
    Dorer, Viktor
    Evins, Ralph
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 52 : 1391 - 1404
  • [8] Amin SM, 2005, IEEE Power Energy Mag, V3, P34, DOI [DOI 10.1109/MPAE.2005.1507024, 10.1109/MPAE.2005.1507024, 10.1109/MPAE.2005.150702]
  • [9] Anna M, 2013, The social dimension of smart grids: consumer. community, society, DOI [10.2790/94972, DOI 10.2790/94972]
  • [10] Systematic Review of Deep Learning and Machine Learning for Building Energy
    Ardabili, Sina
    Abdolalizadeh, Leila
    Mako, Csaba
    Torok, Bernat
    Mosavi, Amir
    [J]. FRONTIERS IN ENERGY RESEARCH, 2022, 10