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Suche nach „[S.] [Huber]“ hat 17 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

    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)

    O. Walter, Matthias Huber, Kueppers. M., A. Tremel, S. Becker

    Energy system design for deep decarbonization of a sunbelt city by using a hybrid storage approach

    Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019), vol. Vol. 4

    2019

    Abstract anzeigen

    With continuously falling cost of renewable power generation and ambitious decarbonization targets, renewable sources are about to rival fossil fuels for energy supply. For a high share of fluctuating renewable generation, large-scale energy storage is likely to be required. In addition to selling electricity, the reliable supply of heat and cold is a further interesting revenue pool, which makes hybrid storage technologies an interesting option. The main feature of hybrid energy storage – as defined here - is to offer charging and especially discharging in different forms of energy by combining different charging, discharging and storage devices. They can address various demands (e.g. electricity and cold) simultaneously. Two hybrid storages, pumped thermal energy storage (PTES) and power-to-heat-to-x (x: heat and/or electricity) energy storage (PHXES), are investigated based on a techno-economic analysis within this work. Both hybrid storage technologies are charged with electricity and can supply heat and electricity during discharging. They are implemented into a simplified energy system model of a prototype city in the earth’s sunbelt in the year 2030 to find a cost-optimal configuration. Different cases are evaluated: a power-to-power case (P2P), where only an electric demand must be addressed and a power-to-power-and-cooling (P2P&C) case, where the electric demand from the P2P case is divided into a residual electric demand and a cooling demand. For both cases, a natural gas-based benchmark scenario and a decarbonized, renewable-based scenario including the hybrid energy storage technologies are calculated. Both, total expenditures and CO2 emissions are lower in the P2P&C scenarios compared to P2P scenarios. PHXES plays a major role in both cases. PTES is part of the cost-optimal solution in the P2P&C decarb scenario, only if its specific cost are further decreased.

    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)

    K. Siala, E. Baik, Matthias Huber, T. Hamacher, S. Benson

    Optimizing the Californian Power System according to the Renewable Portfolio Standards for 2030 and beyond

    Proceedings of the 37th International Energy Workshop Gothenburg

    2018

    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)

    H. Mangesius, S. Hirche, Matthias Huber, T. Hamacher

    A framework to quantify technical flexibility in power systems based on reliability certificates

    2013 4th IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

    2013

    DOI: 10.1109/ISGTEurope.2013.6695460

    Abstract anzeigen

    Power systems are increasingly stressed by variable and unpredictable generation from various sources. We identify the qualitative framework of flexibility as an adequate tool to specify requirements that allow the system to handle this variability. An open problem is the quantification of technical flexibility that incorporates limitations from transmission system and component behavior in contrast to existing copper plate supply and demand balance approaches. We develop such a quantitative method for single components on the basis of a priori specified reliability criteria. Our framework bases on a combined static power flow and small signal stability analysis. In a perturbative approach we derive sensitivity-based formula for eigenvalue variations under nonlinear changes of steady power flow set points. To this end, we define rigorously the terms flexibility metric and technical flexibility of single components. We provide an algorithmic procedure for computation of tolerance ranges of individual system components such that the overall behavior remains reliable.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    S. Roon, Matthias Huber

    Modeling Spot Market Pricing with the Residual Load

    Enerday - 5th Conference on Energy Economics and Technology

    2010

    Abstract anzeigen

    In this paper the effects of increasing feed-in of renewable energy sources on the spot market prices are assessed. The electricity prices are mainly determined by the consumer load (demand) and the respective marginal cost of the power plant fleet (supply). The efficiency and the fuel prices (including the costs for emission allowances) are the main factors for the marginal costs of power plants. It does not matter whether the feed-in of RES is modeled as supply without marginal cost or is subtracted from the consumer load. Decisive for the price is the load that has to be covered by conventional power plants, the so defined residual load. An observable correlation with coefficients of determination from 0.54 to 0.77 between the residual load and the spot market prices was shown in a linear regression in the years from 2007 - 2009. Interestingly, taking into account more data than consumer load and wind power feed-in for calculating the residual load does not lead to higher coefficients of determination in the years from 2007 to 2009. Hence, for price correlation analysis it is sufficient to model the residual load by the consumer load minus the feed-in of wind in the near future. However, for scenario calculations, we recommend considering the load of PV as well. Moreover, it is important to be aware that a change in power plant fleet is not regarded. The slope of the normalized spot market price over residual load is about 0.082 per GW Residual Load. That means that the feed-in of 1 GWh must-run power, e.g. wind, leads to a spot market price reduction of 2.33 €/MWh (assuming the mean natural gas price in 2008 of 28 €/MWh). The isolated analysis of the impact of changing the residual load from 2008 to 2020 shows a higher deviation in prices and a mean price reduction of 15 €/MWh. Changes in fuel prices and in the power plant fleet are not considered in this estimation.

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    Karl Hain, Christoph Rappl, S. Reitberger, S. Huber

    Development of an Innovative Tool Rack by Providing a Creativity Frame for Educational Engineering Projects

    Proceedings of the 3rd International Conference on Science & Technology: Applications in Industry and Education; Penang, Malaysia, 16.-17.12.2010

    2010

    I: Zentrum für Akademische Weiterbildung

    Vortrag

    D. Festner, Andreas Gegenfurtner, B. Meier, A. Babichenko, J. Huber, T. Koch, B. Morgenthaler, S. Schmid, F. Scheider, H. Gruber

    Transfer of training and its determinants

    A study conducted in the domain of occupational health and safety

    4th EARLI Special Interest Group (SIG) 14 Learning and Professional Development Conference, Jyväskylä, Finnland

    2008

    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