Towards Sustainable Urban Energy Systems: High Resolution Modelling of Electricity and Heat Demand Profiles

被引:0
|
作者
Wang, Han [1 ]
Mancarella, Pierluigi [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
来源
2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2016年
关键词
energy demand modelling; smart city; multi-energy systems; urban energy systems; sustainable energy;
D O I
暂无
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
Urban energy systems are attracting more and more attention owing to the challenges as well as potential to make them more sustainable. In particular, decarbonisation may be achieved by deploying a portfolio of multi-energy technologies (electricity, heat, cooling, gas, transport), for both distributed (e.g., PV, heat pumps, electric vehicles, thermal and electrical storage, etc.) and centralised (e.g., community-level or city-level energy systems supplied by cogeneration, trigeneration, etc.) applications. This calls for high resolution modelling from both temporal and spatial perspectives, suitable to capture infrastructure impact and requirements as well as intertemporal characteristics of new technologies (especially for storage). This paper presents an initial investigation into a modelling approach which provides high spatial and temporal electricity and heat demand profiles taking proper account of various consumption characteristics of different customer sectors, with application to the Greater Manchester's metropolitan area. A general framework for evaluating the different performances and requirements of city-level multi-energy system is also presented.
引用
收藏
页数:6
相关论文
共 40 条
  • [1] High resolution modelling of multi-energy domestic demand profiles
    Good, Nicholas
    Zhang, Lingxi
    Navarro-Espinosa, Alejandro
    Mancarella, Pierluigi
    APPLIED ENERGY, 2015, 137 : 193 - 210
  • [2] Simulating residential electricity and heat demand in urban areas using an agent-based modelling approach
    Bustos-Turu, Gonzalo
    van Dam, Koen H.
    Acha, Salvador
    Markides, Christos N.
    Shah, Nilay
    2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2016,
  • [3] Domestic electricity use: A high-resolution energy demand model
    Richardson, Ian
    Thomson, Murray
    Infield, David
    Clifford, Conor
    ENERGY AND BUILDINGS, 2010, 42 (10) : 1878 - 1887
  • [4] Integrated electricity-heat-gas modelling and assessment, with applications to the Great Britain system. Part I: High-resolution spatial and temporal heat demand modelling
    Clegg, Stephen
    Mancarella, Pierluigi
    ENERGY, 2019, 184 : 180 - 190
  • [5] Interoperable, Smart, and Sustainable Urban Energy Systems
    Pastor, Raul
    Fraga, Anabel
    Lopez-Cozar, Luis
    SUSTAINABILITY, 2023, 15 (18)
  • [6] Indicators for the optimization of sustainable urban energy systems based on energy system modeling
    Christian Klemm
    Frauke Wiese
    Energy, Sustainability and Society, 12
  • [7] Indicators for the optimization of sustainable urban energy systems based on energy system modeling
    Klemm, Christian
    Wiese, Frauke
    ENERGY SUSTAINABILITY AND SOCIETY, 2022, 12 (01)
  • [8] Models for generating place and time dependent urban energy demand profiles
    Mikkola, Jani
    Lund, Peter D.
    APPLIED ENERGY, 2014, 130 : 256 - 264
  • [9] Towards climate resilient urban energy systems: a review
    Nik, Vahid M.
    Perera, A. T. D.
    Chen, Deliang
    NATIONAL SCIENCE REVIEW, 2021, 8 (03)
  • [10] Domestic lighting: A high-resolution energy demand model
    Richardson, Ian
    Thomson, Murray
    Infield, David
    Delahunty, Alice
    ENERGY AND BUILDINGS, 2009, 41 (07) : 781 - 789