Cost optimal share of wind power, PV and batteries

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    Abstract

    A chronological multi-area generation planning model is used to investigate the influence of low-cost batteries on the cost-optimal share of wind power and photovoltaics (PV) under varying assumptions about their future investment costs. The analysis is performed in two different geographic locations that have a large difference in the solar resource. The results from around 400 scenario runs demonstrate to what extent lower investment costs mitigate the resource variability. In this regard, PV is more sensitive than wind power. Given the assumptions utilized, the model starts to invests in PV at much higher cost levels in Iberia (~1050 /kW) than in Northern Europe (~400 /kW). Furthermore, in Iberia batteries benefit PV strongly (already at 300 /kWh) while in Northern Europe batteries are not as relevant, since PV has a strong seasonal variation that cannot be economically mitigated with batteries and the region already has high amounts of flexible reservoir hydro power.
    Original languageEnglish
    Title of host publication14th Wind Integration Workshop, Proceedings
    EditorsUta Betancourt, Thomas Ackermann
    PublisherEnergynautics GmbH
    Number of pages6
    ISBN (Print)978-3-9816549-1-2
    Publication statusPublished - 2015
    MoE publication typeB3 Non-refereed article in conference proceedings
    Event14th International Workshop on Large-scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, WIW2015 - Brussels, Belgium
    Duration: 20 Oct 201522 Oct 2015
    Conference number: 14

    Workshop

    Workshop14th International Workshop on Large-scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, WIW2015
    Abbreviated titleWIW2015
    CountryBelgium
    CityBrussels
    Period20/10/1522/10/15

    Fingerprint

    Wind power
    Costs
    Planning

    Keywords

    • power system planning
    • photovoltaics (PV)
    • wind power
    • battery storage
    • energy storage
    • variable generation

    Cite this

    Kiviluoma, J., Azevedo, M., Rinne, E., & Helistö, N. (2015). Cost optimal share of wind power, PV and batteries. In U. Betancourt, & T. Ackermann (Eds.), 14th Wind Integration Workshop, Proceedings Energynautics GmbH.
    Kiviluoma, Juha ; Azevedo, Miguel ; Rinne, Erkka ; Helistö, Niina. / Cost optimal share of wind power, PV and batteries. 14th Wind Integration Workshop, Proceedings. editor / Uta Betancourt ; Thomas Ackermann. Energynautics GmbH, 2015.
    @inproceedings{f8e5dcbc5b4247d7b583d88553eba579,
    title = "Cost optimal share of wind power, PV and batteries",
    abstract = "A chronological multi-area generation planning model is used to investigate the influence of low-cost batteries on the cost-optimal share of wind power and photovoltaics (PV) under varying assumptions about their future investment costs. The analysis is performed in two different geographic locations that have a large difference in the solar resource. The results from around 400 scenario runs demonstrate to what extent lower investment costs mitigate the resource variability. In this regard, PV is more sensitive than wind power. Given the assumptions utilized, the model starts to invests in PV at much higher cost levels in Iberia (~1050 /kW) than in Northern Europe (~400 /kW). Furthermore, in Iberia batteries benefit PV strongly (already at 300 /kWh) while in Northern Europe batteries are not as relevant, since PV has a strong seasonal variation that cannot be economically mitigated with batteries and the region already has high amounts of flexible reservoir hydro power.",
    keywords = "power system planning, photovoltaics (PV), wind power, battery storage, energy storage, variable generation",
    author = "Juha Kiviluoma and Miguel Azevedo and Erkka Rinne and Niina Helist{\"o}",
    note = "14th Wind Integration Workshop Abstract reviewed SDA: MIP:Intelligent Energy Grids Project : 104775",
    year = "2015",
    language = "English",
    isbn = "978-3-9816549-1-2",
    editor = "Uta Betancourt and Thomas Ackermann",
    booktitle = "14th Wind Integration Workshop, Proceedings",
    publisher = "Energynautics GmbH",
    address = "Germany",

    }

    Kiviluoma, J, Azevedo, M, Rinne, E & Helistö, N 2015, Cost optimal share of wind power, PV and batteries. in U Betancourt & T Ackermann (eds), 14th Wind Integration Workshop, Proceedings. Energynautics GmbH, 14th International Workshop on Large-scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, WIW2015, Brussels, Belgium, 20/10/15.

    Cost optimal share of wind power, PV and batteries. / Kiviluoma, Juha; Azevedo, Miguel; Rinne, Erkka; Helistö, Niina.

    14th Wind Integration Workshop, Proceedings. ed. / Uta Betancourt; Thomas Ackermann. Energynautics GmbH, 2015.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    TY - GEN

    T1 - Cost optimal share of wind power, PV and batteries

    AU - Kiviluoma, Juha

    AU - Azevedo, Miguel

    AU - Rinne, Erkka

    AU - Helistö, Niina

    N1 - 14th Wind Integration Workshop Abstract reviewed SDA: MIP:Intelligent Energy Grids Project : 104775

    PY - 2015

    Y1 - 2015

    N2 - A chronological multi-area generation planning model is used to investigate the influence of low-cost batteries on the cost-optimal share of wind power and photovoltaics (PV) under varying assumptions about their future investment costs. The analysis is performed in two different geographic locations that have a large difference in the solar resource. The results from around 400 scenario runs demonstrate to what extent lower investment costs mitigate the resource variability. In this regard, PV is more sensitive than wind power. Given the assumptions utilized, the model starts to invests in PV at much higher cost levels in Iberia (~1050 /kW) than in Northern Europe (~400 /kW). Furthermore, in Iberia batteries benefit PV strongly (already at 300 /kWh) while in Northern Europe batteries are not as relevant, since PV has a strong seasonal variation that cannot be economically mitigated with batteries and the region already has high amounts of flexible reservoir hydro power.

    AB - A chronological multi-area generation planning model is used to investigate the influence of low-cost batteries on the cost-optimal share of wind power and photovoltaics (PV) under varying assumptions about their future investment costs. The analysis is performed in two different geographic locations that have a large difference in the solar resource. The results from around 400 scenario runs demonstrate to what extent lower investment costs mitigate the resource variability. In this regard, PV is more sensitive than wind power. Given the assumptions utilized, the model starts to invests in PV at much higher cost levels in Iberia (~1050 /kW) than in Northern Europe (~400 /kW). Furthermore, in Iberia batteries benefit PV strongly (already at 300 /kWh) while in Northern Europe batteries are not as relevant, since PV has a strong seasonal variation that cannot be economically mitigated with batteries and the region already has high amounts of flexible reservoir hydro power.

    KW - power system planning

    KW - photovoltaics (PV)

    KW - wind power

    KW - battery storage

    KW - energy storage

    KW - variable generation

    M3 - Conference article in proceedings

    SN - 978-3-9816549-1-2

    BT - 14th Wind Integration Workshop, Proceedings

    A2 - Betancourt, Uta

    A2 - Ackermann, Thomas

    PB - Energynautics GmbH

    ER -

    Kiviluoma J, Azevedo M, Rinne E, Helistö N. Cost optimal share of wind power, PV and batteries. In Betancourt U, Ackermann T, editors, 14th Wind Integration Workshop, Proceedings. Energynautics GmbH. 2015