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Wind Power Revenue Potential: Simulation for Finland

Sakarias Paaso*, Ali Khosravi

Department of Mechanical Engineering, Aalto University, Espoo, Finland

* Corresponding Author: Sakarias Paaso. Email: email

Energy Engineering 2021, 118(4), 1111-1133. https://doi.org/10.32604/EE.2021.014949

Abstract

Potential revenue from wind power generation is an important factor to be considered when planning a wind power investment. In the future, that may become even more important because it is known that wind power generation tends to push electricity wholesale prices lower. Consequently, it is possible that if a region has plenty of installed wind power capacity, revenue per generated unit of electricity is lower there than could be assumed by looking at the mean electricity wholesale price. In this paper, we compare 17 different locations in Finland in terms of revenue from wind power generation. That is done by simulating hourly generation with three different turbine types at two different hub heights and multiplying that by the hourly electricity spot price for years 2018 and 2019. Estimated revenues differ greatly between locations and turbine types, major factor being technical potential i.e., the amount of electricity generated. Differences between revenues per generated MWh seem to be small, however, the smallest figures being on the western coast where installed capacities are also the largest in Finland.

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Cite This Article

APA Style
Paaso, S., Khosravi, A. (2021). Wind power revenue potential: simulation for finland. Energy Engineering, 118(4), 1111-1133. https://doi.org/10.32604/EE.2021.014949
Vancouver Style
Paaso S, Khosravi A. Wind power revenue potential: simulation for finland. Energ Eng. 2021;118(4):1111-1133 https://doi.org/10.32604/EE.2021.014949
IEEE Style
S. Paaso and A. Khosravi, “Wind Power Revenue Potential: Simulation for Finland,” Energ. Eng., vol. 118, no. 4, pp. 1111-1133, 2021. https://doi.org/10.32604/EE.2021.014949



cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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