• DocumentCode
    635336
  • Title

    A real options assessment of operational flexibility in district energy systems

  • Author

    Kitapbayev, Yerkin ; Moriarty, John ; Mancarella, Pierluigi ; Blochle, Max

  • Author_Institution
    Sch. of Math., Univ. of Manchester, Manchester, UK
  • fYear
    2013
  • fDate
    27-31 May 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The aim of this paper, which is framed within the research activities of the EC FP7 IREEN Project, is to quantify the value of operational flexibility (with applications to planning) in ICT-enabled district energy systems. In particular, our work offers an integrated approach to the optimal operation and planning of flexible systems composed of high efficiency combined heat and power (CHP) and heat storage resources that can provide optimal demand response (DR) to real-time external signals (such as energy prices) and considering measurements and forecasts of different variables (weather, energy loads, and so on). The methodological approach, borrowed from finance theory, is based on a mixed operational and planning model using stochastic control techniques (for operational optimization, closely related to the pricing of swing options) which is in turn used for long-term (planning) real options evaluation. Numerical applications to exemplify the model developed refer to realistic UK applications. The model is a first step towards quantifying the operational and planning value of smart technologies and thus enabling the development of business cases for ICT-enabled energy efficient neighborhoods.
  • Keywords
    cogeneration; district heating; power generation planning; thermal energy storage; CHP; ICT-enabled district energy systems; combined heat and power; district energy systems; finance theory; flexible systems optimal operation; flexible systems planning; heat storage resources; long-term planning; mixed operational-planning model; operational flexibility; optimal demand response; real options assessment; real options evaluation; real-time external signals; smart technologies; stochastic control techniques; Electricity; Europe; Heating; Indexes; Planning; Real-time systems; Real options; combined heat and power; demand response; district energy systems; heat storage; smart cities; smart grid; stochastic control; stochastic process; swing options;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2013 10th International Conference on the
  • Conference_Location
    Stockholm
  • Type

    conf

  • DOI
    10.1109/EEM.2013.6607328
  • Filename
    6607328