TY - CHAP A1 - Mayntz, Joscha A1 - Keimer, Jona A1 - Dahmann, Peter A1 - Hille, Sebastian A1 - Stumpf, Eike A1 - Fisher, Alex A1 - Dorrington, Graham T1 - Electrical Drive and Regeneration in General Aviation Flight with Propellers T2 - Deutscher Luft- und Raumfahrtkongress 2020 N2 - Electric flight has the potential for a more sustainable and energy-saving way of aviation compared to fossil fuel aviation. The electric motor can be used as a generator inflight to regenerate energy during descent. Three different approaches to regenerating with electric propeller powertrains are proposed in this paper. The powertrain is to be set up in a wind tunnel to determine the propeller efficiency in both working modes as well as the noise emissions. Furthermore, the planned flight tests are discussed. In preparation for these tests, a yaw stability analysis is performed with the result that the aeroplane is controllable during flight and in the most critical failure case. The paper shows the potential for inflight regeneration and addresses the research gaps in the dual role of electric powertrains for propulsion and regeneration of general aviation aircraft. KW - Propeller Aerodynamics KW - Flight Tests KW - Flight Mechanics KW - Electrical Flight KW - Inflight Regeneration, Recuperation Y1 - 2022 U6 - https://doi.org/10.25967/530100 N1 - Deutscher Luft- und Raumfahrtkongress 2020, 1. - 3. September 2020, Online PB - DGLR CY - Bonn ER - TY - CHAP A1 - May, Martin A1 - Breitbach, Gerd A1 - Alexopoulos, Spiros A1 - Latzke, Markus A1 - Bäumer, Klaus A1 - Uhlig, Ralf A1 - Söhn, Matthias A1 - Teixeira Boura, Cristiano José A1 - Herrmann, Ulf T1 - Experimental facility for investigations of wire mesh absorbers for pressurized gases T2 - AIP Conference Proceedings Y1 - 2019 U6 - https://doi.org/10.1063/1.5117547 SN - 0094243X VL - 2126 SP - 030035-1 EP - 030035-9 ER - TY - CHAP A1 - Maurer, Florian A1 - Sejdija, Jonathan A1 - Sander, Volker T1 - Decentralized energy data storages through an Open Energy Database Server N2 - In the research domain of energy informatics, the importance of open datais rising rapidly. This can be seen as various new public datasets are created andpublished. Unfortunately, in many cases, the data is not available under a permissivelicense corresponding to the FAIR principles, often lacking accessibility or reusability.Furthermore, the source format often differs from the desired data format or does notmeet the demands to be queried in an efficient way. To solve this on a small scale atoolbox for ETL-processes is provided to create a local energy data server with openaccess data from different valuable sources in a structured format. So while the sourcesitself do not fully comply with the FAIR principles, the provided unique toolbox allows foran efficient processing of the data as if the FAIR principles would be met. The energydata server currently includes information of power systems, weather data, networkfrequency data, European energy and gas data for demand and generation and more.However, a solution to the core problem - missing alignment to the FAIR principles - isstill needed for the National Research Data Infrastructure. KW - Open Data KW - Database KW - Time-series Y1 - 2024 U6 - https://doi.org/10.5281/zenodo.10607895 N1 - 1st NFDI4Energy Conference (NFDI4Energy) , Hanover, Germany, 20-21 February 2024 ER - TY - CHAP A1 - Maurer, Florian A1 - Nitsch, Felix A1 - Kochems, Johannes A1 - Schimeczek, Christoph A1 - Sander, Volker A1 - Lehnhoff, Sebastian T1 - Know your tools - a comparison of two open agent-based energy market models T2 - 2024 20th International Conference on the European Energy Market (EEM) N2 - Due to the transition to renewable energies, electricity markets need to be made fit for purpose. To enable the comparison of different energy market designs, modeling tools covering market actors and their heterogeneous behavior are needed. Agent-based models are ideally suited for this task. Such models can be used to simulate and analyze changes to market design or market mechanisms and their impact on market dynamics. In this paper, we conduct an evaluation and comparison of two actively developed open-source energy market simulation models. The two models, namely AMIRIS and ASSUME, are both designed to simulate future energy markets using an agent-based approach. The assessment encompasses modelling features and techniques, model performance, as well as a comparison of model results, which can serve as a blueprint for future comparative studies of simulation models. The main comparison dataset includes data of Germany in 2019 and simulates the Day-Ahead market and participating actors as individual agents. Both models are comparable close to the benchmark dataset with a MAE between 5.6 and 6.4 €/MWh while also modeling the actual dispatch realistically. KW - Comparative simulation KW - Measurement KW - Analytical models KW - Renewable energy sources KW - Simulation KW - Instruments KW - Refining KW - Focusing KW - Agent-based modeling KW - Energy market KW - Open source KW - Energy dispatch Y1 - 2024 U6 - https://doi.org/10.1109/EEM60825.2024.10609021 N1 - 2024 20th International Conference on the European Energy Market (EEM), 10-12 June 2024, Istanbul, Turkiye PB - IEEE CY - New York, NY ER - TY - CHAP A1 - Maurer, Florian A1 - Miskiw, Kim K. A1 - Acosta, Rebeca Ramirez A1 - Harder, Nick A1 - Sander, Volker A1 - Lehnhoff, Sebastian ED - Jorgensen, Bo Norregaard ED - Pereira da Silva, Luiz Carlos ED - Ma, Zheng T1 - Market abstraction of energy markets and policies - application in an agent-based modeling toolbox T2 - EI.A 2023: Energy Informatics N2 - In light of emerging challenges in energy systems, markets are prone to changing dynamics and market design. Simulation models are commonly used to understand the changing dynamics of future electricity markets. However, existing market models were often created with specific use cases in mind, which limits their flexibility and usability. This can impose challenges for using a single model to compare different market designs. This paper introduces a new method of defining market designs for energy market simulations. The proposed concept makes it easy to incorporate different market designs into electricity market models by using relevant parameters derived from analyzing existing simulation tools, morphological categorization and ontologies. These parameters are then used to derive a market abstraction and integrate it into an agent-based simulation framework, allowing for a unified analysis of diverse market designs. Furthermore, we showcase the usability of integrating new types of long-term contracts and over-the-counter trading. To validate this approach, two case studies are demonstrated: a pay-as-clear market and a pay-as-bid long-term market. These examples demonstrate the capabilities of the proposed framework. KW - Energy market design KW - Agent-based simulation KW - Market modeling Y1 - 2023 SN - 978-3-031-48651-7 (Print) SN - 978-3-031-48652-4 (eBook) U6 - https://doi.org/10.1007/978-3-031-48652-4_10 N1 - Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023 N1 - Part of the Lecture Notes in Computer Science book series (LNCS,volume 14468). SP - 139 EP - 157 PB - Springer CY - Cham ER - TY - CHAP A1 - Maurer, Florian T1 - Framework to provide a simulative comparison of different energy market designs T2 - Energy Informatics N2 - Useful market simulations are key to the evaluation of diferent market designs existing of multiple market mechanisms or rules. Yet a simulation framework which has a comparison of diferent market mechanisms in mind was not found. The need to create an objective view on different sets of market rules while investigating meaningful agent strategies concludes that such a simulation framework is needed to advance the research on this subject. An overview of diferent existing market simulation models is given which also shows the research gap and the missing capabilities of those systems. Finally, a methodology is outlined how a novel market simulation which can answer the research questions can be developed. Y1 - 2022 U6 - https://doi.org/10.1186/s42162-022-00215-6 SN - 2520-8942 N1 - 11th DACH+ Conference on Energy Informatics, 15-16 September 2022, Freiburg, Germany VL - 5 IS - 2, Article number: 12 SP - 18 EP - 20 PB - Springer Nature ER - TY - CHAP A1 - Matcha, Heike A1 - Quasten, Gero T1 - A Parametric-Typological Tool: More Diversity for Mass Produced Single Family Homes Through Parametrized Design and Customized Mass Production T2 - Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings Y1 - 2009 SN - 978-0-9541183-8-9 SP - 409 EP - 416 ER - TY - CHAP A1 - Matcha, Heike A1 - Ljubas, Ante T1 - Parametric Origami: Adaptable temporary buildings T2 - Future cities: 28th eCAADe Conference Proceedings. eCAADe: Conferences. Zurich, Switzerland Y1 - 2010 SN - 978-0-9541183-7-2 SP - 243 EP - 251 ER - TY - CHAP A1 - Matcha, Heike A1 - Karzel, Rüdiger A1 - Quasten, Gero T1 - Architectural Design with Parametric Modeling & Customized Mass Production: Explorations and Case Studies in Architectural Design and Production Methods T2 - Language and the Scientific Imagination. The 11th International Conference of ISSEI, Language Centre, University of Helsinki (Finland) 28 July - 2 August 2008 Y1 - 2008 ER - TY - CHAP A1 - Matcha, Heike T1 - Parametric possibilities: designing with parametric modelling T2 - Predicting the Future [25th eCAADe Conference Proceedings] Y1 - 2007 SN - 978-0-9541183-6-5 SP - 849 EP - 856 ER -