Publikationen


Suche nach „[M.] [Huber]“ hat 16 Publikationen gefunden
Suchergebnis als PDF
    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

    Zeitschriftenartikel

    Kueppers. M., C. Perau, M. Franken, H. Heger, Matthias Huber, M. Metzger, S. Niessen

    Data-Driven Regionalization of Decarbonized Energy Systems for Reflecting Their Changing Topologies in Planning and Optimization

    Energies, vol. 13, no. 16

    2020

    DOI: 10.3390/en13164076

    Abstract anzeigen

    The decarbonization of energy systems has led to a fundamental change in their topology since generation is shifted to locations with favorable renewable conditions. In planning, this change is reflected by applying optimization models to regions within a country to optimize the distribution of generation units and to evaluate the resulting impact on the grid topology. This paper proposes a globally applicable framework to find a suitable regionalization for energy system models with a data-driven approach. Based on a global, spatially resolved database of demand, generation, and renewable profiles, hierarchical clustering with fine-tuning is performed. This regionalization approach is applied by modeling the resulting regions in an optimization model including a synthesized grid. In an exemplary case study, South Africa’s energy system is examined. The results show that the data-driven regionalization is beneficial compared to the common approach of using political regions. Furthermore, the results of a modeled 80% decarbonization until 2045 demonstrate that the integration of renewable energy sources fundamentally changes the role of regions within South Africa’s energy system. Thereby, the electricity exchange between regions is also impacted, leading to a different grid topology. Using clustered regions improves the understanding and analysis of regional transformations in the decarbonization process.

    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.

    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Matthias Huber, S. Schüller, M. Stöckli, K. Wohlrabe

    Maschinelles Lernen in der ökonomischen Forschung

    ifo Schnelldienst (Institut für Wirtschaftsforschung, München), vol. 71, no. 7, pp. 50-53

    2018

    Abstract anzeigen

    In der empirischen Wirtschaftsforschung steigt die Anzahl der Publikationen, die mit Methoden des maschinellen Lernens arbeiten. Dennoch scheint eine gewisse Skepsis zu bestehen. Ein Kritikpunkt ist, dass sich maschinelles Lernen zwar für Vorhersagen eignet, aber keine kausalen Zusammenhänge identifizieren kann. In den vergangenen Jahren hat sich die Forschung jedoch verstärkt mit diesem Problem auseinandergesetzt, und es wurden zahlreiche Fortschritte erzielt. Maschinelles Lernen hat daher das Potenzial, in Zukunft in der Wirtschaftsforschung an Bedeutung zu gewinnen.

    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.

    GesundF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    A. Kupferberg, M. Iacoboni, V. Flanagin, M. Huber, Anna-Maria Kasparbauer, T. Baumgartner, G. Hasler, F. Schmidt, C. Borst, S. Glasauer

    Fronto-parietal Coding of Goal-Directed Actions Performed by Artificial Agents

    Human Brain Mapping, vol. 33, no. 3, pp. 1145-1162

    2018

    DOI: 10.1002/hbm.23905

    Abstract anzeigen

    With advances in technology, artificial agents such as humanoid robots will soon become a part of our daily lives. For safe and intuitive collaboration, it is important to understand the goals behind their motor actions. In humans, this process is mediated by changes in activity in fronto-parietal brain areas. The extent to which these areas are activated when observing artificial agents indicates the naturalness and easiness of interaction. Previous studies indicated that fronto-parietal activity does not depend on whether the agent is human or artificial. However, it is unknown whether this activity is modulated by observing grasping (self-related action) and pointing actions (other-related action) performed by an artificial agent depending on the action goal. Therefore, we designed an experiment in which subjects observed human and artificial agents perform pointing and grasping actions aimed at two different object categories suggesting different goals. We found a signal increase in the bilateral inferior parietal lobule and the premotor cortex when tool versus food items were pointed to or grasped by both agents, probably reflecting the association of hand actions with the functional use of tools. Our results show that goal attribution engages the fronto-parietal network not only for observing a human but also a robotic agent for both self-related and social actions. The debriefing after the experiment has shown that actions of human-like artificial agents can be perceived as being goal-directed. Therefore, humans will be able to interact with service robots intuitively in various domains such as education, healthcare, public service, and entertainment.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    T. Deetjen, M. Webber, Matthias Huber

    Optimizing capacity extensions in power systems: A case study of Bavaria and a comparison to Texas

    Proceedings of the 2017 14th International Conference on the European Energy Market (EEM)

    2017

    DOI: 10.1109/EEM.2017.7981908

    Abstract anzeigen

    As the German Energiewende policy enters the latter stages of its goal to dismantle the country's nuclear power plant fleet, the southern state of Bavaria must decide how it will replace its nuclear generation capacity. This study extends a renewable capacity expansion model that was initially developed to find optimal extensions of wind and solar generation and transmission for Texas, United States. Here, additional options for the development of the Bavarian electricity supply are added: combined-heat-and-power (CHP), improving transmission connections to the non-Bavarian German generator fleet, and constructing new natural gas combined cycle (CCGT) power plants within Bavaria. The model's solution suggests that an optimal mix includes 3.5 GW of transmission to the non-Bavarian generator fleet, 6.0 to 9.5 GW of new CCGT capacity, and 8.5 to 10.0 GW of transmission capacity to the on-shore wind resources of the Schleswig-Holstein state in northern Germany, depending on the CO 2 price. Compared to the model results for Texas, Bavaria's system is less sensitive to a CO 2 price in both the optimal system configuration and the resulting emissions. While Texas emissions can be reduced by 55% with a CO 2 price increase from 10 to 100 $/ton, the reduction in Bavaria is only 28% with a price increase from 0 to 100 EUR/ton.

    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    R. Brandenberg, Matthias Huber, M. Silbernagl

    The summed start-up costs in a unit commitment problem

    EURO Journal on Computational Optimization, vol. 5, no. 1-2, pp. 203-238

    2017

    DOI: 10.1007/s13675-016-0062-2

    Abstract anzeigen

    We consider the sum of the incurred start-up costs of a single unit in a Unit Commitment problem. Our major result is a correspondence between the facets of its epigraph and some binary trees for concave start-up cost functions CU, which is bijective if CU is strictly concave. We derive an exponential H-representation of this epigraph, and provide an exact linear separation algorithm. These results significantly reduce the integrality gap of the Mixed Integer formulation of a Unit Commitment Problem compared to current literature.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    M. Silbernagl, Matthias Huber, R. Brandenberg

    Improving Accuracy and Efficiency of Start-Up Cost Formulations in MIP Unit Commitment by Modeling Power Plant Temperatures

    IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 2578-2586

    2016

    DOI: 10.1109/TPWRS.2015.2450776

    Abstract anzeigen

    This paper presents an improved mixed-integer model for the thermal unit commitment problem. By introducing new variables for the temperature of each thermal unit, the off-time-dependent start-up costs are modeled accurately and with a lower integrality gap than state-of-the-art formulations. This new approach significantly improves computational efficiency compared to existing formulations, even if they only model a rough approximation of the start-up costs. Our findings were validated on real-world test cases using CPLEX.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    Matthias Huber, M. Silbernagl

    Modeling start-up times in unit commitment by limiting temperature increase and heating

    Proceedings of the 2015 12th International Conference on the European Energy Market (EEM)

    2015

    DOI: 10.1109/EEM.2015.7216755

    Abstract anzeigen

    The integration of variable renewable energy sources leads to an increased cycling of conventional power plants, necessitating a detailed model of the start-up process. Based on the recently developed temperature formulation for startup costs in Unit Commitment, we model the off-time-dependent start-up times of thermal units by limiting temperature increase and heating. Numerical results indicate that limiting heating speed is more efficient and leads only to a moderate increase in computational time.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    M. Beer, Matthias Huber, W. Mauch

    Flexible Operation of Cogeneration Plants - Chances for the Integration of Renewables

    11th European Conference of the International Association for Energy Economics (IAEE) - Energy Economy, Policies and Supply Security: Surviving the Global Economic Crisis

    2010

    F: Elektrotechnik und MedientechnikI: IQMA

    Vortrag

    Günther Benstetter, R. Schmidt, S. Ascher, M. Kerber, Johannes Grabmeier, A. Huber

    Evaluation of thin oxide reliability by means of wafer level stress-testing

    8th European Parametric Test User Group Meeting, Prien am Chiemsee

    2002