Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    The operational degree of freedom in a residential energy system has dramatically increased recently because an energy system tends to be composed of many devices including some energy buffers. It is challenging to construct the framework of the operational planning problems, which update the plan based on the short-span predictions. This framework has to plan the operation before uncertain demand and PV output are realized; hence the plan is based on ex-ante decisions. The aim of this paper is to apply a stochastic programming framework to the operational planning of a residential energy system considering the prediction, and is to show basic directions for the planning. The residential energy system includes a fuel cell cogeneration system with a hot water tank, the photovoltaic system with an electrical battery. The parameters of the numerical experiments are three kinds of temporal precision and the number of predicted scenarios. The operation means the timing of the fuel cell's start-stop, and the stored energy levels of the battery and the hot water tank. As a result, the expected value based on scenarios was 21% greater than the minimized value based on perfect information in terms of daily primary energy consumption. The number of predicted scenarios was reasonable around 10 at 15-min temporal precision, because the great number of input scenarios made a decision not to operate the fuel cell cogeneration system for the entire day, and needed a great deal of the computational time.

    Original languageEnglish
    Title of host publicationProceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013
    PublisherChina International Conference Center for Science and Technology
    Publication statusPublished - 2013
    Event26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013 - Guilin
    Duration: 2013 Jul 162013 Jul 19

    Other

    Other26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013
    CityGuilin
    Period13/7/1613/7/19

    Fingerprint

    residential energy
    Stochastic programming
    fuel cell
    Fuel cells
    Water tanks
    cogeneration
    Planning
    photovoltaic system
    energy
    prediction
    Electron energy levels
    Energy utilization
    planning
    cell (energy)
    plan
    experiment
    Experiments
    battery
    decision
    hot water

    Keywords

    • Cogeneration
    • Fuel cell
    • Optimal operation
    • Photovoltaic energy
    • Stochastic programming

    ASJC Scopus subject areas

    • Energy(all)
    • Environmental Science(all)

    Cite this

    Yoshida, A., Amano, Y., & Ito, K. (2013). Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming. In Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013 China International Conference Center for Science and Technology.

    Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming. / Yoshida, Akira; Amano, Yoshiharu; Ito, Koichi.

    Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013. China International Conference Center for Science and Technology, 2013.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Yoshida, A, Amano, Y & Ito, K 2013, Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming. in Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013. China International Conference Center for Science and Technology, 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013, Guilin, 13/7/16.
    Yoshida A, Amano Y, Ito K. Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming. In Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013. China International Conference Center for Science and Technology. 2013
    Yoshida, Akira ; Amano, Yoshiharu ; Ito, Koichi. / Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming. Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013. China International Conference Center for Science and Technology, 2013.
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