Energie · Gebäude · Umwelt (EGU)
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Advanced monitoring and control of anaerobic digestion. VAAM-Jahrestagung, Online, Februar 2022
(2022)
Anpassung an den Klimawandel - Maßnahmen im urbanen Raum. Bürgerworkshop der Stadt Steinfurt.
(2022)
Programmierung von Open Source Software in der Energiewirtschaft nimmt seit Beginn der 2000er stetig zu. Dies gilt sowohl für den Bereich der Forschung und Entwicklung, als auch für die Industrie und Wirtschaft. So werden beispielsweise Modelle zur Planung und Optimierung von Energiesystemen umgesetzt. Eine Open Source Veröffentlichung ist in diesem Forschungsfeld besonders wichtig, um die Überprüfbarkeit von Modellannahmen sowie der Vergleichbarkeit verschiedener Modellansätze zu garantieren. Einer Open-Source Veröffentlichung stehen jedoch häufig die Hürden von hohem Fristendruck, fehlender Finanzierung und fehlendem Detailwissen der Publizierenden entgegen. Deshalb bleiben diese Softwareprodukte meist im Entwurfsstadium und sind daher schwierig wieder zu verwenden.
Mithilfe des neu erarbeiteten Schritt-für-Schritt Leitfadens zur standardisierten Implementierung einer Open Source Software, wird die Hürde und der zeitliche Aufwand zur Standardisierung von Open Source Repositories weitestgehend reduziert. Hierbei wird für jedem Bestandteil des zu standardisierenden Repositorys eine umfassende Erklärung der üblichen Standards sowie eine Empfehlung für unterstützende Softwarelösungen ausgesprochen.
Der Leitfaden orientiert sich an den aus der ISO 12207 resultierenden Phasen des Softwarelebenszyklus und ermöglicht einen Einstieg zu jedem Entwicklungsstand der Software. Seine grafische Aufbereitung in Form eines Prozessablaufplans erleichtert die Einschätzung des individuellen Status der Standardisierung eines vorliegenden Open Source Projektes. Als Treiber der Standardisierung eines Open Source Projektes sind insbesondere die bessere Lesbarkeit, Wartbarkeit und Testbarkeit der standardisierten Open Source Software wichtig.
Bei der Anwendung auf das bereits bestehende Open Source Projekt des Spreadsheet Energy System Model Genarators fiel auf, dass ein verspäteter Einstieg in ein systematisches Vorgehen (wie er mit dem Leitfaden dieser Arbeit gegeben wird) zu erheblichen Mehraufwand bei der Standardisierung führen kann. Dennoch konnten im Zuge der Umsetzung des erarbeiteten Leitfadens weitreichende Verbesserungen des Projektes vor dem Hintergrund der Standardisierung erreicht werden (z. B. Versionierung & Wartbarkeit).
Insgesamt lässt sich festhalten, dass eine frühestmögliche Standardisierung der Open Source Repositories durchgeführt werden sollte, um spätere Mehrarbeit zu vermeiden und die frühstmögliche Wiederverwendbarkeit für Dritte zu gewährleisten.
Das gescheiterte Liebesleben von Fischen. Münsters Wissenschaftsfestival Schlauraum Grund:Wasser.
(2022)
Flexible biogas production can enable demand-oriented energy supply without the need for expensive gas storage expansions, but poses challenges to the stability of the anaerobic digestion (AD) process. In this work, biogas production of laboratory-scale AD of maize silage and sugar beets was optimized to cover the residual load of an electricity self-sufficient community using a simple process model based on first-order kinetics. Experiments show a good agreement between biogas demand, predicted, and measured biogas production. By optimizing biogas conversion schedules based on the measured gas production, a gas storage capacity of 7-8 h was identified for maximum flexibility, which corresponds to typical gas storage sizes at industrial biogas plants in Germany. Various stability indicators were continuously monitored and proved resilient process conditions. These results demonstrate that demand-oriented biogas production using model predictive control is a promising approach to enable existing biogas plants to provide balancing energy.
The development of compact treatment devices with high removal efficiencies and low space requirements is a key objective of urban stormwater
treatment. Thus, many devices utilize a combination of sedimentation and upward flow filtration in a single system. This study, for the
first time, evaluates the flow field inside a combined filter-lamella separator via computational fluid dynamics. Herein, three objectives
are investigated: (i) the flow field for different structural configurations, (ii) the distribution of particulate matter along the filter bed and
(iii) the dynamic clogging in discrete filter zones, which is addressed by a clogging model derived from literature data. The results indicate
that a direct combination of a filtration stage with a lamella separator promotes a uniform flow distribution. The distribution of particulate
matter along the filter bed varies with configuration and particle size. Clogging, induced by particles in the spectrum ,63 μm, creates
gradients of hydraulic conductivity along the filter bed. After treating about half of Germany’s annual runoff-efficient precipitation at a rainfall
intensity of 5 L/(s·ha), the filtration rates increase in the front of the filter bed by þ10%. Thus, long-term operating behavior is sensitive to
efficient filter utilization in compact treatment devices.
Grüning H. (2022) Hochwasser und urbane Sturzfluten. Vortrag beim Rotary-Club Beckum, am 03.01.2022
(2022)
Indicators for the optimization of sustainable urban energy systems based on energy system modeling
(2022)
Background: Urban energy systems are responsible for 75 % of the world's energy consumption and for 70 % of the worldwide greenhouse gas emissions. Energy system models are used to optimize, benchmark and compare such energy systems with the help of energy sustainability indicators. We discuss several indicators for their basic suitability and their response to changing boundary conditions, system structures and reference values. The most suitable parameters are applied to four different supply scenarios of a real-world urban energy system.
Results: There is a number of energy sustainability indicators, but not all of them are suitable for the use in urban energy system optimization models. Shortcomings originate from the omission of upstream energy supply chains (secondary energy efficiency), from limited capabilities to compare small energy systems (energy productivity), from excessive accounting expense (regeneration rate), from unsuitable accounting methods (primary energy efficiency), from a questionable impact of some indicators on the overall system sustainability (self-sufficiency), from the lack of detailed information content (share of renewables), and more. On the other hand, indicators of absolute greenhouse gas emissions, energy costs, and final energy demand are well suitable for the use in optimization models. However, each of these indicators only represents partial aspects of energy sustainability; the use of only one indicator in the optimization process increases the risk that other important aspects will deteriorate significantly, eventually leading to suboptimal or even unrealistic scenarios in practice. Therefore, multi-criteria approaches should be used to enable a more holistic optimization and planning of sustainable urban energy systems.
Conclusion: We recommend multi-criteria optimization approaches using the indicators of absolute greenhouse gas emissions, absolute energy costs, and absolute energy demand. For benchmarking and comparison purposes, specific indicators should be used and therefore related to the final energy demand, respectively the number of inhabitants. Our example scenarios demonstrate modeling strategies to optimize sustainability of urban energy systems.
(1) The use of renewable energy for power and heat supply is one of the strategies to reduce greenhouse gas emissions. As only 14% of German households are supplied with renewable energy, a shift is necessary. This shift should be realized with the lowest possible environmental impact. This paper assesses the environmental impacts of changes in energy generation and distribution, by integrating the life cycle assessment (LCA) method into energy system models (ESM). (2) The integrated LCA is applied to a case study of the German neighborhood of Herne, (i) to optimize the energy supply, considering different technologies, and (ii) to determine the environmental impacts of the base case (status quo), a cost-optimized scenario, and a CO2-optimized scenario. (3) The use of gas boilers in the base case is substituted with CHPs, surface water heat pumps and PV-systems in the CO2-optimized scenario, and five ground-coupled heat pumps and PV-systems for the cost-optimized scenario. This technology shift led to a reduction in greenhouse gas emissions of almost 40% in the cost-optimized, and more than 50% in the CO2-optimized, scenario. However, technology shifts, e.g., due to oversized battery storage, risk higher impacts in other categories, such as terrestrial eco toxicity, by around 22%. Thus, it can be recommended to use smaller battery storage systems. (4) By combining ESM and LCA, additional environmental impacts beyond GHG emissions can be quantified, and therefore trade-offs between environmental impacts can be identified. Furthermore, only applying ESM leads to an underestimation of greenhouse gas emissions of around 10%. However, combining ESM and LCA required significant effort and is not yet possible using an integrated software.
Klimawandel – Zeichen der Endzeit? Jugendwochenende der Neuapostolischen Kirche Westdeutschland.
(2022)
Heating networks are highly relevant for the achievement of climate protection goals of urban energy systems. This is due to their high renewable energy potential combined with high plant efficiency and utilization rates. For the optimal integration and sector coupling of heating networks in holistic urban energy systems, open source energy system modeling tools are highly recommended. In this contribution, two open source approaches (the "Spreadsheet Energy System Model Generator"-integrated DHNx-Python module (DHNx/SESMG) and Thermos) are theoretically compared, and practically applied to a real-world energy system. Deviations within the results can be explained by incorrectly pre-defined parameters within Thermos and cannot be adjusted by the modeler. The simultaneity is underestimated in the case study by Thermos by more than 20%. This results in undersized heating plant capacities and a 50% higher number of buildings connected to the network. However, Thermos offers a higher end-user usability and over 100 times faster solving. DHNx/SESMG, in contrast, offers the possibility to adjust more model parameters individually and consider multiple energy sectors. This enables a holistic modeling of urban energy systems and the model-based optimization of multi-sectoral synergies.