Operational optimisation: Dynamic heat storage and demand side management strategies

M. Wigbels, B. Bøhm, Kari Sipilä

    Research output: Contribution to journalArticleScientificpeer-review

    5 Citations (Scopus)

    Abstract

    The benefits of using dynamic heat storage and demand side management strategies are discussed. While dynamic heat storage (DHS) is a strategy regarding the energy supply and distribution, demand side management (DSM) is a promising technique to increase the efficiency of energy supply systems focussing on energy peaks coming from the demand side. DHS, for district heating systems with electricity production (CHP), can increase the possibility for electricity production, resulting in economic savings of up to 2% per day. The optimization is carried out using the optimization toolbox of Matlab 6.5. The objective function of the optimization model are operational costs.
    Original languageEnglish
    Pages (from-to)58 - 61
    Number of pages4
    JournalEuroheat and Power: English Edition
    Issue number2
    Publication statusPublished - 2005
    MoE publication typeA1 Journal article-refereed

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    Heat storage
    Electricity
    District heating
    Economics
    Demand side management
    Costs

    Cite this

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    title = "Operational optimisation: Dynamic heat storage and demand side management strategies",
    abstract = "The benefits of using dynamic heat storage and demand side management strategies are discussed. While dynamic heat storage (DHS) is a strategy regarding the energy supply and distribution, demand side management (DSM) is a promising technique to increase the efficiency of energy supply systems focussing on energy peaks coming from the demand side. DHS, for district heating systems with electricity production (CHP), can increase the possibility for electricity production, resulting in economic savings of up to 2{\%} per day. The optimization is carried out using the optimization toolbox of Matlab 6.5. The objective function of the optimization model are operational costs.",
    author = "M. Wigbels and B. B{\o}hm and Kari Sipil{\"a}",
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    pages = "58 -- 61",
    journal = "Euroheat and Power: English Edition",
    issn = "1613-0200",
    publisher = "Verlags und Wirtschaftsges. der Elektrizitatswerke",
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    Operational optimisation : Dynamic heat storage and demand side management strategies. / Wigbels, M.; Bøhm, B.; Sipilä, Kari.

    In: Euroheat and Power: English Edition, No. 2, 2005, p. 58 - 61.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Operational optimisation

    T2 - Dynamic heat storage and demand side management strategies

    AU - Wigbels, M.

    AU - Bøhm, B.

    AU - Sipilä, Kari

    PY - 2005

    Y1 - 2005

    N2 - The benefits of using dynamic heat storage and demand side management strategies are discussed. While dynamic heat storage (DHS) is a strategy regarding the energy supply and distribution, demand side management (DSM) is a promising technique to increase the efficiency of energy supply systems focussing on energy peaks coming from the demand side. DHS, for district heating systems with electricity production (CHP), can increase the possibility for electricity production, resulting in economic savings of up to 2% per day. The optimization is carried out using the optimization toolbox of Matlab 6.5. The objective function of the optimization model are operational costs.

    AB - The benefits of using dynamic heat storage and demand side management strategies are discussed. While dynamic heat storage (DHS) is a strategy regarding the energy supply and distribution, demand side management (DSM) is a promising technique to increase the efficiency of energy supply systems focussing on energy peaks coming from the demand side. DHS, for district heating systems with electricity production (CHP), can increase the possibility for electricity production, resulting in economic savings of up to 2% per day. The optimization is carried out using the optimization toolbox of Matlab 6.5. The objective function of the optimization model are operational costs.

    M3 - Article

    SP - 58

    EP - 61

    JO - Euroheat and Power: English Edition

    JF - Euroheat and Power: English Edition

    SN - 1613-0200

    IS - 2

    ER -