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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao PURE Aarhus Universi...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Journal of Photovoltaics
Article . 2023 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Article . 2023
Data sources: Datacite
ZENODO
Article . 2023
Data sources: ZENODO
ZENODO
Article . 2023
Data sources: Datacite
IEEE Journal of Photovoltaics
Article . 2023 . Peer-reviewed
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Key Determinants of Solar Share in Solar- and Wind-Driven Grids

Authors: Adam Jay Dvorak; Marta Victoria;

Key Determinants of Solar Share in Solar- and Wind-Driven Grids

Abstract

Solar PV is already the cheapest option to produce electricity in many world regions. Moreover, the price of utility-scale solar power plants in 2050, while highly uncertain, will decrease further with present-day learning rates and projected solar capacities. In this article, we analyze how possible future costs of solar and other characteristics affect the optimal share of electricity demand supplied by solar in different energy systems. We first use a simplified, open, hourly resolved, copper-plate model for four isolated regions, with only wind and solar generation and storage allowed, to identify the core dynamics while sweeping the cost of solar. Using this model, we show that future cost assumptions of utility solar affect energy systems in regions with comparable solar and wind potential compared to regions with much stronger solar or much stronger wind potential. Then, we use a multicountry, networked, sector-coupled model of the European energy system (PyPSA-Eur-Sec) to analyze not only the effect of solar character-istics in a comprehensive energy system, but also how our model assumptions themselves affect the optimal share of solar. We find that assumptions of system properties, such as transmission or sector-coupling can greatly affect the optimal solar penetration at the country level.

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Keywords

PyPSA-Eur-Sec, energy system modeling, transmission, Decarbonization, Python for Power System Analysis (PyPSA), optimization, sector coupling, green transition

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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Energy Research