Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Martin Kittel"'
Autor:
Martin Kittel, Wolf-Peter Schill
Publikováno v:
Environmental Research: Energy, Vol 1, Iss 3, p 035007 (2024)
As variable renewable energy (VRE) sources increasingly gain importance in global energy systems, there is a growing interest in understanding periods of VRE shortage (‘Dunkelflauten’). Defining, quantifying, and comparing such shortage events ac
Externí odkaz:
https://doaj.org/article/419f84778e5b461bb6c78d85be9ef4ef
Publikováno v:
iScience, Vol 26, Iss 1, Pp 105729- (2023)
Summary: Energy system models are used for policy decisions and technology designs. If not carefully used, models give implausible outputs and mislead decision-making. One implausible effect is “unintended storage cycling”, which is observable as
Externí odkaz:
https://doaj.org/article/540fcaf629f24f89bc4069ba965ac8b7
Autor:
Martin Kittel, Wolf-Peter Schill
Publikováno v:
iScience, Vol 25, Iss 4, Pp 104002- (2022)
Summary: To decarbonize the economy, many governments have set targets for the use of renewable energy sources. These are often formulated as relative shares of electricity demand or supply. Implementing respective constraints in energy models is a s
Externí odkaz:
https://doaj.org/article/345a146e137244f092ca1c8b227011fc
Publikováno v:
SoftwareX, Vol 15, Iss , Pp 100784- (2021)
DIETER is an open-source power sector model designed to analyze future settings with very high shares of variable renewable energy sources. It minimizes overall system costs, including fixed and variable costs of various generation, flexibility and s
Externí odkaz:
https://doaj.org/article/12c8b099b0024fa6846debf401c68552
Publikováno v:
Energies, Vol 13, Iss 8, p 2041 (2020)
The political discussion to reduce the carbon footprint of Germany’s electricity sector, focusing on coal, is intensifying. In this paper, we develop scenarios for phasing out lignite and hard coal power plants in Germany prior to the end of their
Externí odkaz:
https://doaj.org/article/357b61e3452f4d3fa291156543b716e1
Autor:
Chen Chris Gong, Falko Ueckerdt, Robert Pietzcker, Adrian Odenweller, Wolf-Peter Schill, Martin Kittel, Gunnar Luderer
Publikováno v:
eISSN
Integrated assessment models (IAMs) are a central tool for the quantitative analysis of climate change mitigation strategies. However, due to their global, cross-sectoral and centennial scope, IAMs cannot explicitly represent the temporal and spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d8d207e1dd2d14039206d06c74fa782
https://doi.org/10.5194/egusphere-2022-885
https://doi.org/10.5194/egusphere-2022-885
Publikováno v:
Parzen, M, Kittel, M, Friedrich, D & Kiprakis, A E 2023, ' Reducing energy system model distortions from unintended storage cycling through variable costs ', iScience, vol. 26, no. 1, 105729 . https://doi.org/10.1016/j.isci.2022.105729
Energy model distortions may unknowingly appear and represent unrealistic and non-physical effects that can mislead optimal model decisions. A prominent misleading effect is unintended storage cycling that was observed in previous literature by simul
Autor:
Jonas van Ouwerkerk, Hans Christian Gils, Hedda Gardian, Martin Kittel, Wolf-Peter Schill, Alexander Zerrahn, Alexander Murmann, Jann Launer, Laura Torralba-Díaz, Christian Bußar
Publikováno v:
Renewable & sustainable energy reviews 157, 112004 (2022). doi:10.1016/j.rser.2021.112004
Renewable & sustainable energy reviews 157, 112004 (2022). doi:10.1016/j.rser.2021.112004
Published by Elsevier Science, Amsterdam [u.a.]
Published by Elsevier Science, Amsterdam [u.a.]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7e77a7fc264ee4244269c3922e32f6
https://elib.dlr.de/185372/
https://elib.dlr.de/185372/
Autor:
Martin Kittel, Wolf-Peter Schill
Publikováno v:
iScience. 25(4)
To decarbonize the economy, many governments have set targets for the use of renewable energy sources. These are often formulated as relative shares of electricity demand or supply. Implementing respective constraints in energy models is a surprising