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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 Applied Energyarrow_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
Applied Energy
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Early power to gas applications: Reducing wind farm forecast errors and providing secondary control reserve

Authors: Fabian Mohrke; Fabian Grueger; Detlef Stolten; Detlef Stolten; Martin Robinius;

Early power to gas applications: Reducing wind farm forecast errors and providing secondary control reserve

Abstract

Abstract The combination of wind turbines with fuel cells (FC) and electrolyzers (ELY) is an option for balancing fluctuating grid power injections from renewable energy sources. The conversion of electricity to hydrogen via ELY is often called “power to gas”, while transforming hydrogen to electricity via FC is referred to as re-electrification. The application of these technologies currently faces high costs and finding a positive business case is challenging. This study quantifies the economic potential of marketing FC/ELY systems’ flexibility. Their potential to reduce wind farm forecast errors as well as the system’s ability to provide secondary control reserve (SCR) in Germany is investigated. For this purpose, data for the year 2013 is used. Different root mean squared errors and a probability density function (PDF) for forecast errors are considered. SCR dispatch power in high temporal resolution is approximated and different bidding strategies (SCR market) are taken into account. Results show that both applications can be economically viable, also when being combined. However, profitability is highly dependent on the system’s configuration as well as its operating strategy.

  • BIP!
    Impact byBIP!
    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).
    60
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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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!
60
Top 1%
Top 10%
Top 1%