Applying Energy Justice Principles to Renewable Energy Trading and Allocation in Multi-Unit Buildings

被引:2
|
作者
Mohammadi, Sara [1 ]
Eliassen, Frank [1 ]
Jacobsen, Hans-Arno [2 ]
机构
[1] Univ Oslo, Dept Informat, N-0373 Oslo, Norway
[2] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
关键词
distributed renewable energy sources; shared energy system; energy justice; energy justice in energy sharing; fair energy trading; fair energy allocation; solar PV; battery energy storage system; game theory; PEER;
D O I
10.3390/en16031150
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Although rooftop PV panels and battery energy storage systems have been well established for detached residential buildings, there is still a lack of access to the advantages of onsite renewable energy generation and consumption for residents of multi-unit buildings. To understand the effects of developing distributed renewable energy sources for multi-unit buildings, a new fair energy-sharing model in which different groups of residents can gain benefit from the shared energy systems is proposed. Despite the potential benefits of developing renewable technologies in multi-unit buildings, the energy trading and allocation processes in the buildings can be unfair for some groups of residents. Accordingly, this work studies the main principles of energy justice and analyses how these principles can be applied in the energy trading and allocation processes to achieve fair energy sharing. In addition to fairness and justice, the experimental results show that our method increases the sellers' profit by 59.7-127% and decreases the buyers' cost by 8-21%, compared to the baseline methods. Moreover, applying the energy justice principles in the proposed sharing models acts as an efficient incentive for the residents of the multi-unit buildings to invest in the shared distributed renewable energy sources.
引用
收藏
页数:25
相关论文
共 50 条
  • [41] Techno-economic study of an energy sharing network comprised of a data centre and multi-unit residential buildings for cold climate
    Murphy, Adreon Raymond
    Fung, Alan S.
    [J]. ENERGY AND BUILDINGS, 2019, 186 : 261 - 275
  • [42] Correlating energy consumption with multi-unit residential building characteristics in the city of Toronto
    Touchie, Marianne F.
    Binkley, Clarissa
    Pressnail, Kim D.
    [J]. ENERGY AND BUILDINGS, 2013, 66 : 648 - 656
  • [43] Corridor Pressurization System Performance in Multi-Unit Residential Buildings
    Ricketts, Lorne
    Straube, John
    [J]. ASHRAE TRANSACTIONS 2014, VOL 120, PT 2, 2014, 120
  • [44] An Energy-image based Multi-unit Power Load Forecasting System
    Tang, Chengpei
    Wang, Shanqing
    Zhou, Chancheng
    Zheng, Xiaolong
    Li, Hua
    Shi, Xiangjian
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INTERNET (ICII 2018), 2018, : 69 - 78
  • [45] Risk Control of Energy Performance Fluctuation in Multi-Unit Housing for Weather Uncertainty
    Wang, Jiahe
    Mae, Masayuki
    Taniguchi, Keiichiro
    [J]. BUILDINGS, 2023, 13 (07)
  • [46] An iterative auction-based method for multi energy trading in a microgrid considering renewable energy uncertainties
    Ebrahimi, Mahan
    Ebrahimi, Mahoor
    Fallah, Ali
    Shafie-Khah, Miadreza
    Laaksonen, Hannu
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2024, 232
  • [47] Decentralized Auctioneerless Combinatorial Auctions for Multi-Unit Resource Allocation
    Yen, Li-Hsing
    Sun, Guang-Hong
    [J]. IEEE ACCESS, 2019, 7 : 78625 - 78639
  • [48] Burdened by renewable energy? A multi -scalar analysis of distributional justice and wind energy in the United States
    Mueller, J. Tom
    Brooks, Matthew M.
    [J]. ENERGY RESEARCH & SOCIAL SCIENCE, 2020, 63
  • [49] Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
    Harrold, Daniel J. B.
    Cao, Jun
    Fan, Zhong
    [J]. APPLIED ENERGY, 2022, 318
  • [50] A diffusion mechanism for multi-unit commodity allocation in economic networks
    Mishra, Pankaj
    Moustafa, Ahmed
    [J]. ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2022, 52