Cost optimal share of wind power, PV and batteries

Juha Kiviluoma; Miguel Azevedo; Erkka Rinne; Niina Helistö

Cost optimal share of wind power, PV and batteries

Juha Kiviluoma, Miguel Azevedo, Erkka Rinne, Niina Helistö

DOES - Design and Operation of Energy Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

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 language	English
Title of host publication	14th Wind Integration Workshop, Proceedings
Editors	Uta Betancourt, Thomas Ackermann
Publisher	Energynautics GmbH
Number of pages	6
ISBN (Print)	978-3-9816549-1-2
Publication status	Published - 2015
MoE publication type	B3 Non-refereed article in conference proceedings
Event	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 Duration: 20 Oct 2015 → 22 Oct 2015 Conference number: 14

Workshop

Workshop	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
Abbreviated title	WIW2015
Country/Territory	Belgium
City	Brussels
Period	20/10/15 → 22/10/15

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@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 ; 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, WIW2015 ; Conference date: 20-10-2015 Through 22-10-2015",

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.

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 - Conference code: 14

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

T2 - 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

Y2 - 20 October 2015 through 22 October 2015

ER -

Cost optimal share of wind power, PV and batteries

Abstract

Workshop

Keywords

UN SDGs

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Cite this