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Suche nach „[S.] [Paulus]“ hat 7 Publikationen gefunden
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    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    M. Metzger, M. Duckheim, M. Franken, H. Heger, Matthias Huber, M. Knittel, T. Kolster, M. Kueppers, C. Meier, D. Most, S. Paulus, L. Wyrwoll, A. Moser, S. Niessen

    Pathways toward a Decarbonized Future—Impact on Security of Supply and System Stability in a Sustainable German Energy System

    Energies, vol. 14, no. 3

    2021

    DOI: 10.3390/en14030560

    Abstract anzeigen

    Pathways leading to a carbon neutral future for the German energy system have to deal with the expected phase-out of coal-fired power generation, in addition to the shutdown of nuclear power plants and the rapid ramp-up of photovoltaics and wind power generation. An analysis of the expected impact on electricity market, security of supply, and system stability must consider the European context because of the strong coupling—both from an economic and a system operation point of view—through the cross-border power exchange of Germany with its neighbors. This analysis, complemented by options to improve the existing development plans, is the purpose of this paper. We propose a multilevel energy system modeling, including electricity market, network congestion management, and system stability, to identify challenges for the years 2023 and 2035. Out of the results, we would like to highlight the positive role of innovative combined heat and power (CHP) solutions securing power and heat supply, the importance of a network congestion management utilizing flexibility from sector coupling, and the essential network extension plans. Network congestion and reduced security margins will become the new normal. We conclude that future energy systems require expanded flexibilities in combination with forward planning of operation.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Kueppers. M., S. Paredes Pineda, M. Metzger, Matthias Huber, S. Paulus, H. Heger, S. Niessen

    Decarbonization pathways of worldwide energy systems – Definition and modeling of archetypes

    Applied Energy, vol. 285, no. 01 March 2021

    2021

    DOI: 10.1016/j.apenergy.2021.116438

    Abstract anzeigen

    Energy system models help to find the optimal technology mixes for decarbonization strategies in countries worldwide. To reduce the modeling effort and analyze as many countries as possible, this paper proposes a novel approach of energy system archetypes which can be directly evaluated. These archetypes classify similar countries worldwide independently from their geographic location. Advantages of this idea are the setup of a transferable global database allowing for data reconstruction between countries, market size estimations, and the ability to compare peer countries facing similar challenges. To enable such modeling, a framework is developed in which the archetypes are defined, standardized modeling rules are developed, and the results are evaluated for validation. In a benchmark against simple geographic classifications, the presented clustering approach, which results in 15 archetypes, improves the variance between all countries and their corresponding archetypes by 44% compared to the variance between the countries and their geographic sub-regions. The model results of these archetypes state the need of balancing technologies for the daily cycle of photovoltaic generation and the general importance of flexibility in future decarbonized energy systems. Overall, the results confirm that archetypes are an adequate approach to derive the set of solutions for the decarbonization of worldwide countries.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    M. Küppers, M. Metzger, Matthias Huber, S. Paulus

    Archetypes of Country Energy Systems

    2019 IEEE Milan PowerTech Conference

    2019

    DOI: 10.1109/PTC.2019.8810765

    Abstract anzeigen

    Global challenges as decarbonization, the integration of renewables or an increasing electrification are confronting countries worldwide. Based on an analysis of different energy system models, archetypes of country energy systems are identified as an approach to simplify modeling the global challenges for most countries around the world. Applying a modified K-means algorithm to a broad and transparent data basis of socio-economic, geographic/climatic and energy-related data leads to the definition of the archetypes. An exemplary clustering of 140 countries generating 15 archetypes underlines the existence of patterns in energy systems, which can e.g. be characterized by the climatic circumstances or the energy mix. Overall the archetypes represent a possibility to summarize countries on a global level, leading to a simplified modeling process of countries in energy system models, providing a common data basis for models and identifying common challenges of different countries.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    D. Husarek, S. Paulus, Matthias Huber, M. Metzger, S. Niessen

    The Contribution of Carbon- Optimized Battery Electric Vehicle Charging to the Decarbonization of a Multi-Modal Energy System

    3rd E-Mobility Power System Integration Symposium

    2019

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    C. Müller, T. Falke, A. Hoffrichter, L. Wyrwoll, C. Schmitt, M. Trageser, A. Schnettler, M. Metzger, Matthias Huber, M. Küppers, D. Most, S. Paulus, H. Heger

    Integrated Planning and Evaluation of Multi-Modal Energy Systems for Decarbonization of Germany

    Energy Procedia, vol. 158, no. February, pp. 3482-3487

    2019

    DOI: 10.1016/j.egypro.2019.01.923

    Abstract anzeigen

    For a successful realization of the energy transition and a reduction of greenhouse gas emissions, an integrated view of multiple energy sectors (electricity, heat and mobility) is necessary. The coupling of different energy sectors is seen as an option to achieve the climate goals in a cost-effective way. In this paper, a methodical approach for multi-modal energy system planning and technology impact evaluation is presented. A key feature of the model is a coupled consideration of sectors electricity, heat and mobility. Energy demands, conversion and storage technologies in households, the Commerce, Trade and Services (CTS) area and the industry are modelled employing a bottom-up modelling approach. The model can be used for the calculation of a detailed transition pathway of energy systems taking into account politically defined climate goals. Based on these calculations, in-depth analyses of energy markets as well as transmission and distribution grids can be performed.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    C. Müller, A. Hoffrichter, L. Wyrwoll, C. Schmitt, M. Trageser, T. Kulms, D. Beulertz, M. Metzger, M. Durckheim, Matthias Huber, M. Küppers, D. Most, S. Paulus, H. Heber, A. Schnettler

    Modeling framework for planning and operation of multi-modal energy systems in the case of Germany

    Applied Energy, vol. 250, no. 15 September 2019, pp. 1132-1146

    2019

    DOI: 10.1016/j.apenergy.2019.05.094

    Abstract anzeigen

    In order to reach the goals of the United Nations Framework Convention on Climate Change, a stepwise reduction of energy related greenhouse gas emissions as well as an increase in the share of renewable energies is necessary. For a successful realization of these changes in energy supply, an integrated view of multiple energy sectors is necessary. The coupling of different energy sectors is seen as an option to achieve the climate goals in a cost-effective way. In this paper, a methodical approach for multi-modal energy system planning and technology impact evaluation is presented. A key feature of the model is a coupled consideration of the sectors electricity, heat, fuel and mobility. The modeling framework enables system planners to optimally plan future investments in a detailed transition pathway of the energy system of a country, considering politically defined climate goals. Based on these calculations, in-depth analyses of energy markets as well as electrical transmission and distribution grids can be performed using the presented optimization models. Energy demands, conversion and storage technologies in households, the Commerce, Trade and Services (CTS) area and the industry are modeled employing a bottom-up modeling approach. The results for the optimal planning of the German energy system until 2050 show that the combination of an increased share of renewable energies and the direct electrification of heat and mobility sectors together with the use of synthetic fuels are the main drivers to achieve the climate goals in a cost-efficient way.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    N. Vespermann, Matthias Huber, S. Paulus, M. Metzger, T. Hamacher

    The Impact of Network Tariffs on PV Investment Decisions by Consumers

    2018 15th International Conference on the European Energy Market (EEM)

    2018

    DOI: 10.1109/EEM.2018.8469944

    Abstract anzeigen

    The increasing amount of self-produced energy reduces the customer base of network utilities. Assuming constant grid costs, network charges have to be increased in systems applying volumetric network tariffs. In order to understand the cost recovery problem of utilities, it is crucial to analyze consumers' PV investment and operation decisions as sources of self-produced energy. This work proposes a mathematical framework that determines PV investment by consumers subject to the day-ahead market. Volumetric and capacity network tariffs are considered, which are altered by consumers' day-ahead market demand. The optimal PV investment from a central planner's perspective serves as a benchmark. The results show that a volumetric network tariff incentivizes inefficient investments in distributed PV systems, which causes all consumers' energy costs to increase. In contrast, a capacity network tariff reduces these incentives as consumers cannot offset their expected burden of network costs by installing PV systems.