Energy scheduling model to optimize transition routes towards 100% renewable urban districts

Richard Pieter van Leeuwen, J.B. de Wit, Gerardus Johannes Maria Smit

    Research output: Contribution to journalArticleAcademicpeer-review

    11 Citations (Scopus)
    20 Downloads (Pure)

    Abstract

    The purpose of this paper is to develop a model to analyze options for 100% renewable urban districts which self-consume locally generated renewable energy as much as possible and import (or export) energy from (or to) external grids as little as possible. Energy scheduling algorithms are developed to prioritize energy generation and storage of local renewable energy. The model is applied in a Dutch case study in which three renewable energy system concepts are evaluated against the case reference. Optimal capacities are determined for minimal operational costs including a penalty on carbon dioxide production. Attractiveness of these concepts is discussed in relation to costs, environmental concerns and applicability within the Dutch context of the energy transition.
    Original languageEnglish
    Pages (from-to)19-46
    Number of pages27
    JournalInternational journal of sustainable energy planning and management
    Volume13
    DOIs
    Publication statusPublished - 2017

    Fingerprint

    scheduling
    renewable energy
    Scheduling
    district
    energy
    Scheduling algorithms
    Costs
    Carbon dioxide
    costs
    social attraction
    import
    penalty
    carbon dioxide
    cost

    Keywords

    • urban energy
    • district heating
    • renewable energy
    • smart grids
    • optimal capacity
    • energy priority scheduling
    • energy transition

    Cite this

    @article{c6473d7d956a4013bc3007a94692e9c5,
    title = "Energy scheduling model to optimize transition routes towards 100{\%} renewable urban districts",
    abstract = "The purpose of this paper is to develop a model to analyze options for 100{\%} renewable urban districts which self-consume locally generated renewable energy as much as possible and import (or export) energy from (or to) external grids as little as possible. Energy scheduling algorithms are developed to prioritize energy generation and storage of local renewable energy. The model is applied in a Dutch case study in which three renewable energy system concepts are evaluated against the case reference. Optimal capacities are determined for minimal operational costs including a penalty on carbon dioxide production. Attractiveness of these concepts is discussed in relation to costs, environmental concerns and applicability within the Dutch context of the energy transition.",
    keywords = "urban energy, district heating, renewable energy, smart grids, optimal capacity, energy priority scheduling, energy transition",
    author = "{van Leeuwen}, {Richard Pieter} and {de Wit}, J.B. and Smit, {Gerardus Johannes Maria}",
    year = "2017",
    doi = "10.5278/ijsepm.2017.13.3",
    language = "English",
    volume = "13",
    pages = "19--46",
    journal = "International journal of sustainable energy planning and management",
    issn = "2246-2929",
    publisher = "Aalborg University Press",

    }

    Energy scheduling model to optimize transition routes towards 100% renewable urban districts. / van Leeuwen, Richard Pieter; de Wit, J.B.; Smit, Gerardus Johannes Maria.

    In: International journal of sustainable energy planning and management, Vol. 13, 2017, p. 19-46.

    Research output: Contribution to journalArticleAcademicpeer-review

    TY - JOUR

    T1 - Energy scheduling model to optimize transition routes towards 100% renewable urban districts

    AU - van Leeuwen, Richard Pieter

    AU - de Wit, J.B.

    AU - Smit, Gerardus Johannes Maria

    PY - 2017

    Y1 - 2017

    N2 - The purpose of this paper is to develop a model to analyze options for 100% renewable urban districts which self-consume locally generated renewable energy as much as possible and import (or export) energy from (or to) external grids as little as possible. Energy scheduling algorithms are developed to prioritize energy generation and storage of local renewable energy. The model is applied in a Dutch case study in which three renewable energy system concepts are evaluated against the case reference. Optimal capacities are determined for minimal operational costs including a penalty on carbon dioxide production. Attractiveness of these concepts is discussed in relation to costs, environmental concerns and applicability within the Dutch context of the energy transition.

    AB - The purpose of this paper is to develop a model to analyze options for 100% renewable urban districts which self-consume locally generated renewable energy as much as possible and import (or export) energy from (or to) external grids as little as possible. Energy scheduling algorithms are developed to prioritize energy generation and storage of local renewable energy. The model is applied in a Dutch case study in which three renewable energy system concepts are evaluated against the case reference. Optimal capacities are determined for minimal operational costs including a penalty on carbon dioxide production. Attractiveness of these concepts is discussed in relation to costs, environmental concerns and applicability within the Dutch context of the energy transition.

    KW - urban energy

    KW - district heating

    KW - renewable energy

    KW - smart grids

    KW - optimal capacity

    KW - energy priority scheduling

    KW - energy transition

    U2 - 10.5278/ijsepm.2017.13.3

    DO - 10.5278/ijsepm.2017.13.3

    M3 - Article

    VL - 13

    SP - 19

    EP - 46

    JO - International journal of sustainable energy planning and management

    JF - International journal of sustainable energy planning and management

    SN - 2246-2929

    ER -