TY - CHAP A1 - Stollenwerk, Dominik A1 - Kuvarakul, T. A1 - Kuperjans, Isabel T1 - Renewable energy supply for power dominated, energy intense production processes - a systematic conversion approach for the anodizing process T2 - IOP conference series: Earth and environmental science (EES) Y1 - 2013 SN - 1755-1315 SN - 1755-1307 VL - Vol. 16 IS - H. 1 SP - 012142/1 EP - 012142/4 ER - TY - CHAP A1 - Kreyer, Jörg A1 - Stollenwerk, Dominik A1 - Schöning, Michael Josef T1 - Tagung des Forschernachwuchses der FH Aachen 20. November 2013 / ed.: J. Kreyer, D. Stollenwerk, M. J. Schöning Y1 - 2013 PB - FH Aachen CY - Aachen ER - TY - CHAP A1 - Stollenwerk, Dominik A1 - Rieke, C. A1 - Dahmen, Markus A1 - Pieper, Martin T1 - Biogas Production Modelling : A Control System Engineering Approach T2 - IOP Conference Series: Earth and Environmental Science. Bd. 32 Y1 - 2016 U6 - http://dx.doi.org/10.1088/1755-1315/32/1/012008 SN - 1755-1315 N1 - ICARET 2016, International Conference on Advances in Renewable Energy and Technologies, Putrajaya, MY, Feb 23-25, 2016 SP - 012008/1 EP - 012008/4 ER - TY - JOUR A1 - Rieke, Christian A1 - Stollenwerk, Dominik A1 - Dahmen, Markus A1 - Pieper, Martin T1 - Modeling and optimization of a biogas plant for a demand-driven energy supply JF - Energy N2 - Due to the Renewable Energy Act, in Germany it is planned to increase the amount of renewable energy carriers up to 60%. One of the main problems is the fluctuating supply of wind and solar energy. Here biogas plants provide a solution, because a demand-driven supply is possible. Before running such a plant, it is necessary to simulate and optimize the process. This paper provides a new model of a biogas plant, which is as accurate as the standard ADM1 model. The advantage compared to ADM1 is that it is based on only four parameters compared to 28. Applying this model, an optimization was installed, which allows a demand-driven supply by biogas plants. Finally the results are confirmed by several experiments and measurements with a real test plant. Y1 - 2018 U6 - http://dx.doi.org/10.1016/j.energy.2017.12.073 SN - 0360-5442 VL - 145 SP - 657 EP - 664 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Georg, Jörg Heiner A1 - Stollenwerk, Dominik A1 - Reinkensmeier, Sebastian A1 - Jungbluth, Christian T1 - „Smartes“ Laden an öffentlich zugänglichen Ladesäulen – Teil 1: Quo vadis, Marktdesign? JF - Energiewirtschaftliche Tagesfragen : et ; Zeitschrift für Energiewirtschaft, Recht, Technik und Umwelt Y1 - 2021 SN - 0720-6240 SN - 0013-743X VL - 71 IS - 1/2 SP - 64 EP - 69 PB - ETV Energieverlag CY - Essen ER - TY - JOUR A1 - Stollenwerk, Dominik A1 - Reinkensmeier, Sebastian A1 - Georg, Jörg Heiner A1 - Jungbluth, Christian T1 - „Smartes“ Laden an öffentlich zugänglichen Ladesäulen – Teil 2: USER-Verhalten und -Erwartungen JF - Energiewirtschaftliche Tagesfragen : et ; Zeitschrift für Energiewirtschaft, Recht, Technik und Umwelt Y1 - 2021 SN - 0720-6240 SN - 0013-743X VL - 71 IS - 3 SP - 38 EP - 42 PB - ETV Energieverlag CY - Essen ER - TY - CHAP A1 - Handschuh, Nils A1 - Stollenwerk, Dominik A1 - Borchert, Jörg T1 - Operation of thermal storage power plants under high renewable grid penetration T2 - NEIS 2021: Conference on Sustainable Energy Supply and Energy Storage Systems N2 - 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. KW - storage optimisation KW - storage dispatch KW - thermal storage Y1 - 2021 SN - 978-3-8007-5651-3 N1 - NEIS 2021: Conference on Sustainable Energy Supply and Energy Storage Systems. 13-14 September 2021. Hamburg, Germany SP - 261 EP - 265 PB - VDE Verlag CY - Berlin ER - TY - CHAP A1 - Stollenwerk, Dominik A1 - Franzke, Till A1 - Maurer, Florian A1 - Reinkensmeier, Sebastian A1 - Kim, Franken A1 - Tambornino, Philipp A1 - Haas, Florian A1 - Rieke, Christian A1 - Hermanuz, Andreas A1 - Borchert, Jörg A1 - Ritz, Thomas A1 - Sander, Volker ED - Proff, Heike T1 - Smarte Ladesäulen : Netz- und Marktdienliches öffentliches Laden T2 - Towards the New Normal in Mobility : Technische und betriebswirtschaftliche Aspekte N2 - Stand 01.01.2022 sind in Deutschland 618.460 elektrisch angetriebene KFZ zugelassen. Insgesamt sind derzeit 48.540.878 KFZ zugelassen, was einer Elektromobilitätsquote von ca. 1,2 % entspricht. Derzeit werden Elektromobile über Ladestationen oder Steckdosen mit dem Stromnetz verbunden und üblicherweise mit der vollen Ladekapazität des Anschlusses aufgeladen, bis das Batteriemanagementsystem des Fahrzeugs abhängig vom Ladezustand der Batterie die Ladeleistung reduziert. Y1 - 2023 SN - 978-3-658-39437-0 (Print) SN - 978-3-658-39438-7 (Online) U6 - http://dx.doi.org/10.1007/978-3-658-39438-7_18 SP - 287 EP - 304 PB - Springer Gabler CY - Wiesbaden ER - TY - JOUR A1 - Maurer, Florian A1 - Rieke, Christian A1 - Schemm, Ralf A1 - Stollenwerk, Dominik T1 - Analysis of an urban grid with high photovoltaic and e-mobility penetration JF - Energies N2 - This study analyses the expected utilization of an urban distribution grid under high penetration of photovoltaic and e-mobility with charging infrastructure on a residential level. The grid utilization and the corresponding power flow are evaluated, while varying the control strategies and photovoltaic installed capacity in different scenarios. Four scenarios are used to analyze the impact of e-mobility. The individual mobility demand is modelled based on the largest German studies on mobility “Mobilität in Deutschland”, which is carried out every 5 years. To estimate the ramp-up of photovoltaic generation, a potential analysis of the roof surfaces in the supply area is carried out via an evaluation of an open solar potential study. The photovoltaic feed-in time series is derived individually for each installed system in a resolution of 15 min. The residential consumption is estimated using historical smart meter data, which are collected in London between 2012 and 2014. For a realistic charging demand, each residential household decides daily on the state of charge if their vehicle requires to be charged. The resulting charging time series depends on the underlying behavior scenario. Market prices and mobility demand are therefore used as scenario input parameters for a utility function based on the current state of charge to model individual behavior. The aggregated electricity demand is the starting point of the power flow calculation. The evaluation is carried out for an urban region with approximately 3100 residents. The analysis shows that increased penetration of photovoltaics combined with a flexible and adaptive charging strategy can maximize PV usage and reduce the need for congestion-related intervention by the grid operator by reducing the amount of kWh charged from the grid by 30% which reduces the average price of a charged kWh by 35% to 14 ct/kWh from 21.8 ct/kWh without PV optimization. The resulting grid congestions are managed by implementing an intelligent price or control signal. The analysis took place using data from a real German grid with 10 subgrids. The entire software can be adapted for the analysis of different distribution grids and is publicly available as an open-source software library on GitHub. KW - distribution grid simulation KW - smart-charging KW - e-mobility Y1 - 2023 U6 - http://dx.doi.org/10.3390/en16083380 SN - 1996-1073 N1 - This article belongs to the Special Issue "Advanced Solutions for the Efficient Integration of Electric Vehicles in Electricity Grids" N1 - Corresponding author: Florian Maurer VL - 16 IS - 8 PB - MDPI CY - Basel ER -