Modelling and Optimization Approach of Residential Energy Hub: the GHOTEM Project

被引:0
|
作者
Vian, Andrea [1 ]
Bignucolo, Fabio [1 ]
De Carli, Michele [1 ]
机构
[1] Univ Padua, Dept Ind Engn, Padua, Italy
关键词
Energy hub; Multi-energy system; Gas emission minimization; Overall system cost reduction; Users' comfort maximization; GHOTEM research project;
D O I
10.1109/synergy-med.2019.8764149
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy demand is increasing year by year for both industrial and commercial sectors as well as residential users. In general, several energy carriers, such as electricity, natural gas, thermal energy and/or hydrogen, are required to satisfy end-users' needs. Traditionally, customers make use of these energy carriers without a specific attention on their mutual correlation and integration in a unique system, therefore the energy performance of the global system is not optimized. In a future perspective, improvements in energy infrastructures, new coordinating/control strategies and the development of coupling systems intelligently interconnecting energy carriers are expected to improve the global system efficiency. The studies related to this approach concern on the Energy Hub concept, which is defined as an integrated energy system where several energy sources are used to satisfy the end-user overall energy demand according to a dedicated control strategy. One or more objective functions could be considered, such as gas emission minimization, overall system cost reduction and/or users' comfort maximization. The paper aims at introducing a general modelling and optimization approach to characterize and optimize the energy hub operating conditions. A specific focus on the GHOTEM research project, an Italian program concerning residential study cases considering both old and new buildings, is described.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Intelligent Modeling and Optimization for Smart Energy Hub
    Liu, Tianhao
    Zhang, Dongdong
    Dai, Hang
    Wu, Thomas
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (12) : 9898 - 9908
  • [32] Towards more effective behavioural energy policy: An integrative modelling approach to residential energy consumption in Europe
    Lopes, Marta A. R.
    Antunes, Carlos Henggeler
    Martins, Nelson
    ENERGY RESEARCH & SOCIAL SCIENCE, 2015, 7 : 84 - 98
  • [33] System modelling and optimization of a low temperature local hybrid energy system based on solar energy for a residential district
    Yuan, Xiaolei
    Heikari, Lassi
    Hirvonen, Janne
    Liang, Yumin
    Virtanen, Markku
    Kosonen, Risto
    Pan, Yiqun
    ENERGY CONVERSION AND MANAGEMENT, 2022, 267
  • [34] Asynchronous Advantage Actor-Critic Based Approach for Economic Optimization in the Integrated Energy System with Energy Hub
    Zhang, Bin
    Hu, Weihao
    Cao, Di
    Huang, Qi
    Chen, Zhe
    2021 3RD ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2021), 2021, : 1170 - 1176
  • [35] An effective dual-predictor controller mechanism using neural architecture search for optimization of residential energy hub system
    Guojun Lan
    Jian Tang
    Jie Chen
    Jingshu Xing
    Lijun Zhao
    Discover Computing, 28 (1)
  • [36] Improvement of energy performance employing electrical heat pump in scheduling a residential energy hub
    Moghaddam, Iman Gerami
    Saniei, Mohsen
    Mashhour, Elaheh
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2016, 26 (12): : 2618 - 2642
  • [37] Residential load management in an energy hub with heat pump water heater
    Setlhaolo, Ditiro
    Sichilalu, Sam
    Zhang, Jiangfeng
    APPLIED ENERGY, 2017, 208 : 551 - 560
  • [38] Optimal operation of a residential energy hub participating in electricity and heat markets
    Davoudi, Mehdi
    Moeini-Aghtaie, Moein
    Mehrtash, Mahdi
    RENEWABLE ENERGY FOCUS, 2024, 51
  • [39] Investigation of residential energy hub operation suited for smart grid applications
    Morgos, J.
    Frivaldsky, M.
    Hanko, B.
    13TH INTERNATIONAL CONFERENCE ON ELEKTRO (ELEKTRO 2020), 2020,
  • [40] Modelling of residential energy consumption at the national level
    Aydinalp, M
    Ugursal, VI
    Fung, AS
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2003, 27 (04) : 441 - 453