@inproceedings{MaurerMiskiwAcostaetal.2023,
  author    = {Maurer, Florian and Miskiw, Kim K. and Acosta, Rebeca Ramirez and Harder, Nick and Sander, Volker and Lehnhoff, Sebastian},
  title     = {Market abstraction of energy markets and policies - application in an agent-based modeling toolbox},
  series = {EI.A 2023: Energy Informatics},
  booktitle = {EI.A 2023: Energy Informatics},
  editor    = {Jorgensen, Bo Norregaard and Pereira da Silva, Luiz Carlos and Ma, Zheng},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-48651-7 (Print)},
  doi       = {10.1007/978-3-031-48652-4_10},
  pages     = {139 -- 157},
  year      = {2023},
  abstract  = {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.},
  language  = {en}
}
@inproceedings{NierlePieper2023,
  author    = {Nierle, Elisabeth and Pieper, Martin},
  title     = {Measuring social impacts in engineering education to improve sustainability skills},
  series = {European Society for Engineering Education (SEFI)},
  booktitle = {European Society for Engineering Education (SEFI)},
  doi       = {10.21427/QPR4-0T22},
  pages     = {9 Seiten},
  year      = {2023},
  abstract  = {In times of social climate protection movements, such as Fridays for Future, the priorities of society, industry and higher education are currently changing. The consideration of sustainability challenges is increasing. In the context of sustainable development, social skills are crucial to achieving the United Nations Sustainable Development Goals (SDGs). In particular, the impact that educational activities have on people, communities and society is therefore coming to the fore. Research has shown that people with high levels of social competence are better able to manage stressful situations, maintain positive relationships and communicate effectively. They are also associated with better academic performance and career success. However, especially in engineering programs, the social pillar is underrepresented compared to the environmental and economic pillars. In response to these changes, higher education institutions should be more aware of their social impact - from individual forms of teaching to entire modules and degree programs. To specifically determine the potential for improvement and derive resulting change for further development, we present an initial framework for social impact measurement by transferring already established approaches from the business sector to the education sector. To demonstrate the applicability, we measure the key competencies taught in undergraduate engineering programs in Germany. The aim is to prepare the students for success in the modern world of work and their future contribution to sustainable development. Additionally, the university can include the results in its sustainability report. Our method can be applied to different teaching methods and enables their comparison.},
  language  = {en}
}
@article{CheenakulaGriebelMontagetal.2023,
  author    = {Cheenakula, Dheeraja and Griebel, Kai and Montag, David and Gr{\"o}mping, Markus},
  title     = {Concept development of a mainstream deammonification and comparison with conventional process in terms of energy, performance and economical construction perspectives},
  series = {Frontiers in Microbiology},
  volume    = {14},
  journal   = {Frontiers in Microbiology},
  number    = {11155235},
  editor    = {Huang, Xiaowu},
  publisher = {Frontiers},
  issn      = {1664-302X},
  doi       = {10.3389/fmicb.2023.1155235},
  pages     = {1 -- 15},
  year      = {2023},
  abstract  = {Deammonification for nitrogen removal in municipal wastewater in temperate and cold climate zones is currently limited to the side stream of municipal wastewater treatment plants (MWWTP). This study developed a conceptual model of a mainstream deammonification plant, designed for 30,000 P.E., considering possible solutions corresponding to the challenging mainstream conditions in Germany. In addition, the energy-saving potential, nitrogen elimination performance and construction-related costs of mainstream deammonification were compared to a conventional plant model, having a single-stage activated sludge process with upstream denitrification. The results revealed that an additional treatment step by combining chemical precipitation and ultra-fine screening is advantageous prior the mainstream deammonification. Hereby chemical oxygen demand (COD) can be reduced by 80\% so that the COD:N ratio can be reduced from 12 to 2.5. Laboratory experiments testing mainstream conditions of temperature (8-20°C), pH (6-9) and COD:N ratio (1-6) showed an achievable volumetric nitrogen removal rate (VNRR) of at least 50 gN/(m3∙d) for various deammonifying sludges from side stream deammonification systems in the state of North Rhine-Westphalia, Germany, where m3 denotes reactor volume. Assuming a retained Norganic content of 0.0035 kgNorg./(P.E.∙d) from the daily loads of N at carbon removal stage and a VNRR of 50 gN/(m3∙d) under mainstream conditions, a resident-specific reactor volume of 0.115 m3/(P.E.) is required for mainstream deammonification. This is in the same order of magnitude as the conventional activated sludge process, i.e., 0.173 m3/(P.E.) for an MWWTP of size class of 4. The conventional plant model yielded a total specific electricity demand of 35 kWh/(P.E.∙a) for the operation of the whole MWWTP and an energy recovery potential of 15.8 kWh/(P.E.∙a) through anaerobic digestion. In contrast, the developed mainstream deammonification model plant would require only a 21.5 kWh/(P.E.∙a) energy demand and result in 24 kWh/(P.E.∙a) energy recovery potential, enabling the mainstream deammonification model plant to be self-sufficient. The retrofitting costs for the implementation of mainstream deammonification in existing conventional MWWTPs are nearly negligible as the existing units like activated sludge reactors, aerators and monitoring technology are reusable. However, the mainstream deammonification must meet the performance requirement of VNRR of about 50 gN/(m3∙d) in this case.},
  language  = {en}
}
@inproceedings{KreyerEsch2017,
  author    = {Kreyer, J{\"o}rg and Esch, Thomas},
  title     = {Simulation Tool for Predictive Control Strategies for an ORCSystem in Heavy Duty Vehicles},
  series = {European GT Conference 2017},
  booktitle = {European GT Conference 2017},
  pages     = {16 Seiten},
  year      = {2017},
  abstract  = {Scientific questions - How can a non-stationary heat offering in the commercial vehicle be used to reduce fuel consumption? - Which potentials offer route and environmental information among with predicted speed and load trajectories to increase the efficiency of a ORC-System? Methods - Desktop bound holistic simulation model for a heavy duty truck incl. an ORC System - Prediction of massflows, temperatures and mixture quality (AFR) of exhaust gas},
  language  = {en}
}
@incollection{StollenwerkFranzkeMaureretal.2023,
  author    = {Stollenwerk, Dominik and Franzke, Till and Maurer, Florian and Reinkensmeier, Sebastian and Kim, Franken and Tambornino, Philipp and Haas, Florian and Rieke, Christian and Hermanuz, Andreas and Borchert, J{\"o}rg and Ritz, Thomas and Sander, Volker},
  title     = {Smarte Lades{\"a}ulen : Netz- und Marktdienliches {\"o}ffentliches Laden},
  series = {Towards the New Normal in Mobility : Technische und betriebswirtschaftliche Aspekte},
  booktitle = {Towards the New Normal in Mobility : Technische und betriebswirtschaftliche Aspekte},
  editor    = {Proff, Heike},
  publisher = {Springer Gabler},
  address   = {Wiesbaden},
  isbn      = {978-3-658-39437-0 (Print)},
  doi       = {10.1007/978-3-658-39438-7_18},
  pages     = {287 -- 304},
  year      = {2023},
  abstract  = {Stand 01.01.2022 sind in Deutschland 618.460 elektrisch angetriebene KFZ zugelassen. Insgesamt sind derzeit 48.540.878 KFZ zugelassen, was einer Elektromobilit{\"a}tsquote von ca. 1,2 \% entspricht. Derzeit werden Elektromobile {\"u}ber Ladestationen oder Steckdosen mit dem Stromnetz verbunden und {\"u}blicherweise mit der vollen Ladekapazit{\"a}t des Anschlusses aufgeladen, bis das Batteriemanagementsystem des Fahrzeugs abh{\"a}ngig vom Ladezustand der Batterie die Ladeleistung reduziert.},
  language  = {de}
}
@inproceedings{HandschuhStollenwerkBorchert2021,
  author    = {Handschuh, Nils and Stollenwerk, Dominik and Borchert, J{\"o}rg},
  title     = {Operation of thermal storage power plants under high renewable grid penetration},
  series = {NEIS 2021: Conference on Sustainable Energy Supply and Energy Storage Systems},
  booktitle = {NEIS 2021: Conference on Sustainable Energy Supply and Energy Storage Systems},
  publisher = {VDE Verlag},
  address   = {Berlin},
  isbn      = {978-3-8007-5651-3},
  pages     = {261 -- 265},
  year      = {2021},
  abstract  = {The planned coal phase-out in Germany by 2038 will lead to the dismantling of power plants with a total capacity of approx. 30 GW. A possible further use of these assets is the conversion of the power plants to thermal storage power plants; the use of these power plants on the day-ahead market is considerably limited by their technical parameters. In this paper, the influence of the technical boundary conditions on the operating times of these storage facilities is presented. For this purpose, the storage power plants were described as an MILP problem and two price curves, one from 2015 with a relatively low renewable penetration (33 \%) and one from 2020 with a high renewable energy penetration (51 \%) are compared. The operating times were examined as a function of the technical parameters and the critical influencing factors were investigated. The thermal storage power plant operation duration and the energy shifted with the price curve of 2020 increases by more than 25 \% compared to 2015.},
  language  = {en}
}
@incollection{JordanKatzPieper2021,
  author    = {Jordan, Frank and Katz, Christiane and Pieper, Martin},
  title     = {Online-Kollaboration in der Mathematik: Ein Design-Based-Research-Projekt},
  series = {Forschungsimpulse f{\"u}r hybrides Lehren und Lernen an Hochschulen},
  booktitle = {Forschungsimpulse f{\"u}r hybrides Lehren und Lernen an Hochschulen},
  publisher = {TH K{\"o}ln},
  address   = {K{\"o}ln},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:832-cos4-9465},
  pages     = {245 -- 261},
  year      = {2021},
  abstract  = {Die Studie er{\"o}rtert anhand eines Fallbeispiels aus der Mathematik f{\"u}r Ingenieur*innen, wie didaktische Gestaltungsprinzipien f{\"u}r Soziale Pr{\"a}senz, Kollaboration und das L{\"o}sen von praxisnahen Problemen mit mathematischem Denken in einer Online-Umgebung aussehen k{\"o}nnen. Hierf{\"u}r zieht der Beitrag den forschungsmethodologischen Rahmen Design-Based Research (DBR) hinzu und berichtet {\"u}ber Zwischenergebnisse. DBR wird an dieser Stelle als eine systematische Herangehensweise an kurzfristige Lehrver{\"a}nderungen und als Chance auf dem Weg zu einer neuen Hochschullehre nach der COVID-19-Pandemie dargestellt, die theoretische und empirische Erkenntnisse mit Praxisverkn{\"u}pfung und -relevanz vereint.},
  language  = {de}
}
@book{Pieper2021,
  author    = {Pieper, Martin},
  title     = {Quantum mechanics: Introduction to mathematical formulation},
  publisher = {Springer},
  address   = {Wiesbaden},
  isbn      = {978-3-658-32644-9},
  doi       = {10.1007/978-3-658-32645-6},
  pages     = {XIII, 33},
  year      = {2021},
  abstract  = {Anyone who has always wanted to understand the hieroglyphs on Sheldon's blackboard in the TV series The Big Bang Theory or who wanted to know exactly what the fate of Schr{\"o}dinger's cat is all about will find a short, descriptive introduction to the world of quantum mechanics in this essential. The text particularly focuses on the mathematical description in the Hilbert space. The content goes beyond popular scientific presentations, but is nevertheless suitable for readers without special prior knowledge thanks to the clear examples.},
  language  = {en}
}
@book{Pieper2019,
  author    = {Pieper, Martin},
  title     = {Quantenmechanik: Einf{\"u}hrung in die mathematische Formulierung},
  publisher = {Springer Spektrum},
  address   = {Wiesbaden},
  isbn      = {978-3-658-28328-5},
  doi       = {10.1007/978-3-658-28329-2},
  pages     = {XI, 33 Seiten},
  year      = {2019},
  language  = {de}
}
@article{NobisSchmittSchemmetal.2020,
  author    = {Nobis, Moritz and Schmitt, Carlo and Schemm, Ralf and Schnettler, Armin},
  title     = {Pan-European CVAR-constrained stochastic unit commitment in day-ahead and intraday electricity markets},
  series = {Energies},
  volume    = {13},
  journal   = {Energies},
  number    = {Art. 2339},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1996-1073},
  doi       = {10.3390/en13092339},
  pages     = {1 -- 35},
  year      = {2020},
  abstract  = {The fundamental modeling of energy systems through individual unit commitment decisions is crucial for energy system planning. However, current large-scale models are not capable of including uncertainties or even risk-averse behavior arising from forecasting errors of variable renewable energies. However, risks associated with uncertain forecasting errors have become increasingly relevant within the process of decarbonization. The intraday market serves to compensate for these forecasting errors. Thus, the uncertainty of forecasting errors results in uncertain intraday prices and quantities. Therefore, this paper proposes a two-stage risk-constrained stochastic optimization approach to fundamentally model unit commitment decisions facing an uncertain intraday market. By the nesting of Lagrangian relaxation and an extended Benders decomposition, this model can be applied to large-scale, e.g., pan-European, power systems. The approach is applied to scenarios for 2023—considering a full nuclear phase-out in Germany—and 2035—considering a full coal phase-out in Germany. First, the influence of the risk factors is evaluated. Furthermore, an evaluation of the market prices shows an increase in price levels as well as an increasing day-ahead-intraday spread in 2023 and in 2035. Finally, it is shown that intraday cross-border trading has a significant influence on trading volumes and prices and ensures a more efficient allocation of resources.},
  language  = {en}
}