Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools

被引:128
作者
Despres, Jacques [1 ,2 ,3 ,4 ]
Hadjsaid, Nouredine [1 ,3 ]
Criqui, Patrick [1 ,4 ]
Noirot, Isabelle [1 ,2 ]
机构
[1] Univ Grenoble Alpes, F-38000 Grenoble, France
[2] CEA, LITEN DTBH SCSH L2ED, F-38054 Grenoble, France
[3] G2Elab, CNRS, F-38000 Grenoble, France
[4] EDDEN, PACTE, CNRS, F-38000 Grenoble, France
关键词
Long-term energy modelling tool; Typology; Power system; Electricity storage; SYSTEMS; MARKAL; SCENARIOS; LINKING; DEMAND; FUTURE;
D O I
10.1016/j.energy.2014.12.005
中图分类号
O414.1 [热力学];
学科分类号
摘要
The exploration of future energy system trajectories needs to be based on long-term scenarios, which in turn requires using long-term modelling tools. Introducing a strong decarbonisation constraint, for instance, profoundly modifies the power sector, which is impacted by increasing shares of variable renewable energy sources. Long-term modelling tools working on different assumptions increasingly factor in these impacts, the assessment of which requires a clear description and categorization of the technical and economic choices for representing the tools in question. A new typology based on a literature review is presented for both power sector models and long-term models of the energy system. New comparing criteria focussing on the power sector's components are put forward, such as electricity storage and grid. An analysis carried out by means of this categorization on five chosen models shows that, up until now, energy modelling tools and power system tools have been designed to meet separate objectives and have not combined their advantages. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:486 / 495
页数:10
相关论文
共 93 条
  • [1] Abedi S, 2013, NEW DEV RENEWABLE EN
  • [2] [Anonymous], 2010, POLES MANUAL VERSION
  • [3] [Anonymous], THEM GUID INT ASS MO
  • [4] [Anonymous], 2011, PRIMES MODEL PRESENT
  • [5] [Anonymous], 2011, DESCRIPTION REMIND R
  • [6] [Anonymous], 2012, NUCL EN REN SYST EFF
  • [7] Correlated wind-power production and electric load scenarios for investment decisions
    Baringo, L.
    Conejo, A. J.
    [J]. APPLIED ENERGY, 2013, 101 : 475 - 482
  • [8] Strategic Wind Power Investment
    Baringo, Luis
    Conejo, Antonio J.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (03) : 1250 - 1260
  • [9] A review of energy system models
    Bhattacharyya, Subhes C.
    Timilsina, Govinda R.
    [J]. INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2010, 4 (04) : 494 - 518
  • [10] Bosetti V, 2006, ENERG J, P13