Johannes Reichl

Dr. Johannes Reichl

Energieinstitut an der Johannes Kepler Universität Linz, 4040 Linz, Austria
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2014 in Energy
Verified
Journal Article
Closed access
JCJed Cohen
Jed Cohen
Johannes ReichlJohannes Reichl
Johannes Reichl
MSMichael Schmidthaler
Michael Schmidthaler

1 April 2019 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Open access
Leire BastidaLeire Bastida
Leire Bastida
JCJed J. Cohen
Jed J. Cohen
AKAndrea Kollmann
Andrea Kollmann
AMAna Moya
Ana Moya
Johannes ReichlJohannes Reichl
Johannes Reichl

1 September 2019 in Energy Policy
Verified
Journal Article
Open access
VAValeriya Azarova
Valeriya Azarova
JCJed Cohen
Jed Cohen
CFChristina Friedl
Christina Friedl
Johannes ReichlJohannes Reichl
Johannes Reichl

1 March 2013 in Energy Economics
Verified
Journal Article
Closed access
Johannes ReichlJohannes Reichl
Johannes Reichl
MSMichael Schmidthaler
Michael Schmidthaler
FSFriedrich Schneider
Friedrich Schneider

1 February 2016 in Energy Policy
Verified
Journal Article
Closed access
CFChristina Friedl
Christina Friedl
Johannes ReichlJohannes Reichl
Johannes Reichl

12 March 2018 in Nature Energy
Verified
Journal Article
Open access
PDF file
VAValeriya Azarova
Valeriya Azarova
DEDominik Engel
Dominik Engel
CFCornelia Ferner
Cornelia Ferner
AKAndrea Kollmann
Andrea Kollmann
Johannes ReichlJohannes Reichl
Johannes Reichl
Growing self-generation and storage are expected to cause significant changes in residential electricity utilization patterns. Commonly applied volumetric network tariffs may induce imbalance between different groups of households and their respective contribution to recovering the operating costs of the grid. Understanding consumer behaviour and appliance usage together with socio-economic factors can help regulatory authorities to adapt network tariffs to new circumstances in a fair way. Here, we assess the effects of 11 network tariff scenarios on household budgets using real load profiles from 765 households. Thus we explore the possibly disruptive impact of applying peak-load-based tariffs on the budgets of households when they have been mainly charged for consumed volumes before. Our analysis estimates the change in household network expenditure for different combinations of energy, peak and fixed charges, and can help to design tariffs that recover the costs needed for the sustainable operation of the grid.