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208 Ergebnisse, ab 131
  • Referierte Aufsätze Web of Science

    Bidirectional Coupling of the Long-term Integrated Assessment Model REgional Model of INvestments and Development (REMIND) v3.0.0 with the Hourly Power Sector Model Dispatch and Investment Evaluation Tool with Endogenous Renewables (DIETER) v1.0.2

    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 details required to properly analyze the key role of variable renewable energy (VRE) in decarbonizing the power sector and enabling emission reductions ...

    In: Geoscientific Model Development 16 (2023), 17, S. 4977–5033 | Chen Chris Gong, Falko Ueckerdt, Robert Pietzcker, Adrian Odenweller, Wolf-Peter Schill, Martin Kittel, Gunnar Luderer
  • Referierte Aufsätze Web of Science

    Geographical Balancing of Wind Power Decreases Storage Needs in a 100% Renewable European Power Sector

    To reduce greenhouse gas emissions, many countries plan to massively expand wind power and solar photovoltaic capacities. These variable renewable energy sources require additional flexibility in the power sector. Both geographical balancing enabled by interconnection and electricity storage can provide such flexibility. In a 100% renewable energy scenario of twelve central European countries, we investigate ...

    In: iScience 26 (2023), 7, 107074 | Alexander Roth, Wolf-Peter Schill
  • Referierte Aufsätze Web of Science

    Power Sector Effects of Green Hydrogen Production in Germany

    The use of green hydrogen can support the decarbonization of sectors which are difficult to electrify, such as industry or heavy transport. Yet, the wider power sector effects of providing green hydrogen are not well understood so far. We use an open-source electricity sector model to investigate potential power sector interactions of three alternative supply chains for green hydrogen in Germany in ...

    In: Energy Policy 182 (2023), 113738, 15 S. | Dana Kirchem, Wolf-Peter Schill
  • Referierte Aufsätze Web of Science

    Renewable Energy Targets and Unintended Storage Cycling: Implications for Energy Modeling

    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 surprisingly delicate issue. They may cause a modeling artifact of excessive electricity storage use. We introduce this phenomenon as “unintended storage cycling”, ...

    In: iScience 25 (2022), 4, 104002, 30 S. | Martin Kittel, Wolf-Peter Schill
  • Referierte Aufsätze Web of Science

    Model-Related Outcome Differences in Power System Models with Sector Coupling: Quantification and Drivers

    This paper presents the results of a multi-model comparison to determine outcome deviations resulting from differences in power system models. We apply eight temporally and spatially resolved models to 16 stylized test cases. These test cases differ in their renewable energy supply share, technology scope, and optimization scope. We focus on technologies for balancing the variability of power generation, ...

    In: Renewable and Sustainable Energy Reviews 159 (2022), 112177, 14 S. | Hans Christian Gils, Hedda Gardian, Martin Kittel, Wolf-Peter Schill, Alexander Murmann, Jann Launer, Felix Gaumnitz, Jonas van Ouwerkerk, Jennifer Mikurda, Laura Torralba-Díaz
  • Referierte Aufsätze Web of Science

    Impacts of Power Sector Model Features on Optimal Capacity Expansion: A Comparative Study

    The transition towards decarbonized energy systems requires the expansion of renewable and flexibility technologies in power sectors. Many powerful tools exist to find optimal capacity expansion. In a stylized comparison of six models, we evaluate the capacity expansion results of basic power sector technologies. The technologies under investigation include base- and peak load power plants, electricity ...

    In: Renewable and Sustainable Energy Reviews 157 (2022), 112004, 12 S. | Jonas van Ouwerkerk, Hans Christian Gils, Hedda Gardian, Martin Kittel, Wolf-Peter Schill, Alexander Zerrahn, Alexander Murmann, Jann Launer, Laura Torralba-Díaz, Christian Bußar
  • Referierte Aufsätze Web of Science

    Modeling Flexibility in Energy Systems — Comparison of Power Sector Models Based on Simplified Test Cases

    Model-based scenario analyses of future energy systems often come to deviating results and conclusions when different models are used. This may be caused by heterogeneous input data and by inherent differences in model formulations. The representation of technologies for the conversion, storage, use, and transport of energy is usually stylized in comprehensive system models in order to limit the size ...

    In: Renewable and Sustainable Energy Reviews 158 (2022), 111995, 15 S. | Hans Christian Gils, Hedda Gardian, Martin Kittel, Wolf-Peter Schill, Alexander Zerrahn, Alexander Murmann, Jann Launer, Alexander Fehler, Felix Gaumnitz, Jonas van Ouwerkerk, Christian Bußar, Jennifer Mikurda, Laura Torralba-Díaz, Tomke Janßen, Christine Krüger
  • Referierte Aufsätze Web of Science

    The Economics of Variable Renewable Energy and Electricity Storage

    The transformation of the electricity sector is a central element of the transition to a decarbonized economy. Conventional generators powered by fossil fuels have to be replaced by variable renewable energy (VRE) sources in combination with electricity storage and other options for providing temporal flexibility. We discuss the market dynamics of increasing VRE penetration and its integration in the ...

    In: Annual Review of Resource Economics 13 (2021), S. 443-467 | Javier López Prol, Wolf-Peter Schill
  • Referierte Aufsätze Web of Science

    DIETERpy: A Python Framework for the Dispatch and Investment Evaluation Tool with Endogenous Renewables

    DIETER is an open-source power sector model designed to analyze future settings with very high sharesof variable renewable energy sources. It minimizes overall system costs, including fixed and variablecosts of various generation, flexibility and sector coupling options. Here we introduce DIETERpy thatbuilds on the existing model version, written in the General Algebraic Modeling System (GAMS),and ...

    In: SoftwareX 15 (2021), 100784, 7 S. | Carlos Gaete-Morales, Martin Kittel, Alexander Roth, Wolf-Peter Schill
  • Referierte Aufsätze Web of Science

    Optimal Supply Chains and Power Sector Benefits of Green Hydrogen

    Green hydrogen can help to decarbonize parts of the transportation sector, but its power sectorinteractions are not well understood so far. It may contribute to integrating variable renewable energysources if production is sufficiently flexible in time. Using an open-source co-optimization model of thepower sector and four options for supplying hydrogen at German filling stations, we find a trade-offbetween ...

    In: Scientific Reports 11 (2021), 14191, 14 S. | Fabian Stöckl, Wolf‑Peter Schill, Alexander Zerrahn
208 Ergebnisse, ab 131
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