2025
|
Wu, Mengyuan Modellbildung zur energetischen und dynamischen Optimierung von Rechenzentren (Masters Thesis) TU Berlin, 2025. @mastersthesis{Wu2025,
title = {Modellbildung zur energetischen und dynamischen Optimierung von Rechenzentren},
author = {Mengyuan Wu},
year = {2025},
date = {2025-05-14},
urldate = {2025-05-14},
school = {TU Berlin},
abstract = {To enhance the energy efficiency of data centers, this work developed a generic energy system model based on the objectoriented modeling language Modelica, supporting multiple configuration combinations. Interactions between static and dynamic components are systematically analyzed under varying load conditions, and their effects on the power usage effectiveness (PUE) and the Seasonal Performance Factor (SPF) are quantified. A temperature\textendash load-based switching strategy is proposed and visualized using a heatmap. The results show that the efficiency of dynamic components primarily drives PUE variation, whereas the energy consumption of static components defines the theoretical lower bound. Waterside economizers yield significant savings under medium-to-high load and low ambient temperature conditions, reducing total energy consumption by 17\textendash 19% and increasing SPF by 21\textendash 24 %. Integrating variable-speed cooling water pumps further reduces total energy consumption by up to 8.85% , decreases PUE by up to 1.64% , and improves SPF by up to 9.70 %. Regarding cooling tower configurations, the combination of wet operation and free convection proves more effective at low-to-medium loads, while wet operation with forced convection performs better under high-to-full loads and elevated outdoor temperatures. The proposed switching strategy is applicable to both standard and water-constrained scenarios, achieving an average annual energy saving of 6.71% , with a reduced PUE of 1.264 and an increased SPF of 6.647 at a 75% load condition. It also demonstrates strong robustness across different storage piping configurations (two-pipe and three-pipe systems) and indoor temperature setpoints (23\textendash 25 ° C). When the setpoint decreases from 25 ° C to 23 ° C, the switching thresholds for medium-to-high and full load conditions must be shifted forward by 1 ° C, while the switching strategy under low-load conditions remains unchanged\textemdash maintaining both efficiency and operational stability.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
To enhance the energy efficiency of data centers, this work developed a generic energy system model based on the objectoriented modeling language Modelica, supporting multiple configuration combinations. Interactions between static and dynamic components are systematically analyzed under varying load conditions, and their effects on the power usage effectiveness (PUE) and the Seasonal Performance Factor (SPF) are quantified. A temperature– load-based switching strategy is proposed and visualized using a heatmap. The results show that the efficiency of dynamic components primarily drives PUE variation, whereas the energy consumption of static components defines the theoretical lower bound. Waterside economizers yield significant savings under medium-to-high load and low ambient temperature conditions, reducing total energy consumption by 17– 19% and increasing SPF by 21– 24 %. Integrating variable-speed cooling water pumps further reduces total energy consumption by up to 8.85% , decreases PUE by up to 1.64% , and improves SPF by up to 9.70 %. Regarding cooling tower configurations, the combination of wet operation and free convection proves more effective at low-to-medium loads, while wet operation with forced convection performs better under high-to-full loads and elevated outdoor temperatures. The proposed switching strategy is applicable to both standard and water-constrained scenarios, achieving an average annual energy saving of 6.71% , with a reduced PUE of 1.264 and an increased SPF of 6.647 at a 75% load condition. It also demonstrates strong robustness across different storage piping configurations (two-pipe and three-pipe systems) and indoor temperature setpoints (23– 25 ° C). When the setpoint decreases from 25 ° C to 23 ° C, the switching thresholds for medium-to-high and full load conditions must be shifted forward by 1 ° C, while the switching strategy under low-load conditions remains unchanged— maintaining both efficiency and operational stability. |
Rezgui, Haythem Numerical analysis of a transient approach to determine the contamination removal effectiveness for different source positions using only one tracer gas (Masters Thesis) TU Berlin, 2025. @mastersthesis{Rezgui2025,
title = {Numerical analysis of a transient approach to determine the contamination removal effectiveness for different source positions using only one tracer gas},
author = {Haythem Rezgui},
year = {2025},
date = {2025-04-13},
urldate = {2025-04-13},
school = {TU Berlin},
abstract = {A high contamination removal effectiveness is one of the primary objectives of a technical planning of a interior spaces of any kind, be it residential or professional. This thesis investigates a numerical analysis using the software Simcenter STAR-CCM+ to calculate the contamination removal effectiveness for a transient tracer gas, motivated by the need to determine a proper calculation method for real life scenarios. Results were validated against the analytical method of Mundt et al., using the step-up, step-down and pulse methods for different curves resulted from different contamination sources. The results show that the used 3D model is trusty and that it can contribute to a better space decontamination analysis. The numerical and analytical results converge for most calculation methods at the four contamination sources at different levels, but they need more precise iterations and experimental validation.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
A high contamination removal effectiveness is one of the primary objectives of a technical planning of a interior spaces of any kind, be it residential or professional. This thesis investigates a numerical analysis using the software Simcenter STAR-CCM+ to calculate the contamination removal effectiveness for a transient tracer gas, motivated by the need to determine a proper calculation method for real life scenarios. Results were validated against the analytical method of Mundt et al., using the step-up, step-down and pulse methods for different curves resulted from different contamination sources. The results show that the used 3D model is trusty and that it can contribute to a better space decontamination analysis. The numerical and analytical results converge for most calculation methods at the four contamination sources at different levels, but they need more precise iterations and experimental validation. |
Halim, Amadeo Oekonomische Untersuchung von ausgewaehlten Energiekonzepten bei Bestandsgebaeuden in Berlin am Beispiel des Gebaeudetyps WBS70 mit Hilfe der Simulationssoftware TRNSYS (Masters Thesis) TU Berlin, 2025. @mastersthesis{Halim2025,
title = {Oekonomische Untersuchung von ausgewaehlten Energiekonzepten bei Bestandsgebaeuden in Berlin am Beispiel des Gebaeudetyps WBS70 mit Hilfe der Simulationssoftware TRNSYS},
author = { Amadeo Halim},
year = {2025},
date = {2025-01-31},
urldate = {2025-01-31},
school = {TU Berlin},
abstract = {Global warming continues to worsen due to greenhouse gas emissions from various sectors, including the building sector. To counteract this, the state of Berlin has set a target under its Energy and Climate Protection Programme (BEK 2030) to reduce greenhouse gas emissions to 7 𝑘𝑔 𝐶𝑂2 𝑚2(𝑁𝐺𝐹) bullet 𝑎 by 2050. HOWOGE Waerme GmbH, a subsidiary of the municipal housing company HOWOGE Wohnungsbaugesellschaft, is developing innovative energy concepts to achieve this goal. As a social municipal housing company, HOWOGE must ensure that rental costs, including energy expenses, remain affordable. Therefore, the energy concepts must be both ecologically and economically viable. This study simulates and evaluates five energy concepts for a reference building of the WBS70 type, focusing on their economic feasibility. After iterative optimizations to approach an economic optimum, the concepts are compared in terms of carbon neutrality and cost-effectiveness. The simulations are conducted using the software TRNSYS, and the transferability of the concepts to other building types is assessed. The results indicate that the proposed concepts do not achieve the climate targets. The current reference concept (photovoltaic (PV) system + pure district heating) emerges as the best option, offering the lowest CO2 emissions (7.83 kgCO2/(m2cdot a)) and the lowest heating operating costs (0.84 mbox€ 2024/(m2cdot month)). From an ecological perspective, this is followed by Concept 1 (PV system + wastewater heat pump + buffer storage tank + district heating) with 8.01 kgCO2/(m2cdot a), and from an economic perspective by Concept 2 (PV system + air heat pump + buffer storage tank + district heating) with 1.19 mbox€ 2024/(m2cdot month). Concepts involving infrared heating (Concepts 3 and 4: PV system + wastewater/air heat pump + buffer storage tank + infrared heating) resulted in significantly higher emissions. Improved boundary conditions, such as advancements in heat pump technology or changes in the CO2 emission factors of electricity and district heating, could make other concepts, such as Concepts 1 or 2, more attractive in the future. The transferability of the concepts to older buildings is limited due to lower performance ratings, while new buildings, especially those incorporating heat pumps and district heating, show high potential. Concept 1 stands out due to its high suitability for new buildings and fewer limitations for older buildings, provided wastewater potential is available. Nevertheless, detailed planning remains essential, as site- and project-specific factors play a crucial role. Improved methodologies could enable more accurate evaluations in the future.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
Global warming continues to worsen due to greenhouse gas emissions from various sectors, including the building sector. To counteract this, the state of Berlin has set a target under its Energy and Climate Protection Programme (BEK 2030) to reduce greenhouse gas emissions to 7 𝑘𝑔 𝐶𝑂2 𝑚2(𝑁𝐺𝐹) bullet 𝑎 by 2050. HOWOGE Waerme GmbH, a subsidiary of the municipal housing company HOWOGE Wohnungsbaugesellschaft, is developing innovative energy concepts to achieve this goal. As a social municipal housing company, HOWOGE must ensure that rental costs, including energy expenses, remain affordable. Therefore, the energy concepts must be both ecologically and economically viable. This study simulates and evaluates five energy concepts for a reference building of the WBS70 type, focusing on their economic feasibility. After iterative optimizations to approach an economic optimum, the concepts are compared in terms of carbon neutrality and cost-effectiveness. The simulations are conducted using the software TRNSYS, and the transferability of the concepts to other building types is assessed. The results indicate that the proposed concepts do not achieve the climate targets. The current reference concept (photovoltaic (PV) system + pure district heating) emerges as the best option, offering the lowest CO2 emissions (7.83 kgCO2/(m2cdot a)) and the lowest heating operating costs (0.84 mbox€ 2024/(m2cdot month)). From an ecological perspective, this is followed by Concept 1 (PV system + wastewater heat pump + buffer storage tank + district heating) with 8.01 kgCO2/(m2cdot a), and from an economic perspective by Concept 2 (PV system + air heat pump + buffer storage tank + district heating) with 1.19 mbox€ 2024/(m2cdot month). Concepts involving infrared heating (Concepts 3 and 4: PV system + wastewater/air heat pump + buffer storage tank + infrared heating) resulted in significantly higher emissions. Improved boundary conditions, such as advancements in heat pump technology or changes in the CO2 emission factors of electricity and district heating, could make other concepts, such as Concepts 1 or 2, more attractive in the future. The transferability of the concepts to older buildings is limited due to lower performance ratings, while new buildings, especially those incorporating heat pumps and district heating, show high potential. Concept 1 stands out due to its high suitability for new buildings and fewer limitations for older buildings, provided wastewater potential is available. Nevertheless, detailed planning remains essential, as site- and project-specific factors play a crucial role. Improved methodologies could enable more accurate evaluations in the future. |
Schnitzler, Nola Optimale Dimensionierung der Wechselrichterleistung fuer netzgekoppelte Photovoltaikanlagen (Masters Thesis) TU Berlin, 2025. @mastersthesis{Schnitzler2025,
title = {Optimale Dimensionierung der Wechselrichterleistung fuer netzgekoppelte Photovoltaikanlagen},
author = {Nola Schnitzler},
year = {2025},
date = {2025-06-02},
urldate = {2025-06-02},
school = {TU Berlin},
abstract = {This study investigates the technically optimal ratio between generator and inverter capacity for grid-connected photovoltaic (PV) systems in Berlin and other regions with similar Central European climate conditions. The aim is to determine the optimal inverter dimensioning based on system efficiency, using the performance ratio (PR) as the primary evaluation metric. To this end, simulation-based analyses were conducted under various assumptions regarding weather data, soiling, and module orientation. These were supplemented by empirical evaluations of over 300 inverters from real PV systems in Berlin. The simulation results show that a sizing factor (SF) between 0.8 and 1.4 yields high efficiency with minimal clipping, with peak PR values occurring around an SF of 1.1. Under suboptimal conditions (e.g., soiling or shading), greater oversizing can be advantageous, as PR becomes less sensitive to variations in SF. Empirical data validate the simulation results, with the highest system efficiencies observed in installations with sizing factors between 1.1 and 1.5. Furthermore, the analysis highlights that not only the sizing factor but also site-specific conditions, such as shading, soiling, and maintenance quality, have a significant impact on the performance ratio. It is also demonstrated that economic and regulatory frameworks, such as feed-in limits or legal requirements for PV installation on public buildings, considerably influence dimensioning decisions. A differentiated assessment that takes local conditions into account is therefore essential. This study provides a sound technical foundation for determining appropriate sizing factors, while simultaneously emphasizing the need for further economic analyses to support a holistic assessment of system configurations.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
This study investigates the technically optimal ratio between generator and inverter capacity for grid-connected photovoltaic (PV) systems in Berlin and other regions with similar Central European climate conditions. The aim is to determine the optimal inverter dimensioning based on system efficiency, using the performance ratio (PR) as the primary evaluation metric. To this end, simulation-based analyses were conducted under various assumptions regarding weather data, soiling, and module orientation. These were supplemented by empirical evaluations of over 300 inverters from real PV systems in Berlin. The simulation results show that a sizing factor (SF) between 0.8 and 1.4 yields high efficiency with minimal clipping, with peak PR values occurring around an SF of 1.1. Under suboptimal conditions (e.g., soiling or shading), greater oversizing can be advantageous, as PR becomes less sensitive to variations in SF. Empirical data validate the simulation results, with the highest system efficiencies observed in installations with sizing factors between 1.1 and 1.5. Furthermore, the analysis highlights that not only the sizing factor but also site-specific conditions, such as shading, soiling, and maintenance quality, have a significant impact on the performance ratio. It is also demonstrated that economic and regulatory frameworks, such as feed-in limits or legal requirements for PV installation on public buildings, considerably influence dimensioning decisions. A differentiated assessment that takes local conditions into account is therefore essential. This study provides a sound technical foundation for determining appropriate sizing factors, while simultaneously emphasizing the need for further economic analyses to support a holistic assessment of system configurations. |
Patino, Alejandro Andreas Optimierungsmoeglichkeiten fuer die Energieversorgung von Mehrfamilienhaeusern durch den
Einsatz von Phase Change Materials (PCM)-Speichern in Kombination mit PVT und Waermepumpen im
Hinblick auf Energieeffizienz und Wirtschaftlichkeit (Masters Thesis) TU Berlin, 2025. @mastersthesis{Patino2025,
title = {Optimierungsmoeglichkeiten fuer die Energieversorgung von Mehrfamilienhaeusern durch den
Einsatz von Phase Change Materials (PCM)-Speichern in Kombination mit PVT und Waermepumpen im
Hinblick auf Energieeffizienz und Wirtschaftlichkeit},
author = { Alejandro Andreas Patino},
year = {2025},
date = {2025-01-09},
urldate = {2025-01-09},
school = {TU Berlin},
abstract = {The ambitious climate targets require considerable progress in energy-efficient and innovative technologies in building energy sector. This work examines the potential of phase change materials (PCM) in combination with photovoltaic thermal collectors and heat pumps, as PCM enables significant efficiency gains in building energy systems. The aim of the work is to analyze the use of PCM storage tanks in an apartment building using a simulation comparison in order to understand the behavior and effect in interaction with the heating system. Optimization measures were identified and potentially unsuitable approaches pointed out. The analysis was carried out by comparing variants using the Polysun system simulation software. Various strategies and parameters were tested based on literature on programming PCM hybrid storage systems. An extended model was designed to meet the objectives of the analysis. The results show that PCM in combination with heat pump systems can reduce grid consumption by up to 25 % and increase self-consumption by a factor of four, while the improvement in the system performance factor remains limited to less than 3 %. A central problem is the limited heat transfer properties of the PCM. This work provides a basis for further investigations into the integration of innovative storage technologies in the building sector.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
The ambitious climate targets require considerable progress in energy-efficient and innovative technologies in building energy sector. This work examines the potential of phase change materials (PCM) in combination with photovoltaic thermal collectors and heat pumps, as PCM enables significant efficiency gains in building energy systems. The aim of the work is to analyze the use of PCM storage tanks in an apartment building using a simulation comparison in order to understand the behavior and effect in interaction with the heating system. Optimization measures were identified and potentially unsuitable approaches pointed out. The analysis was carried out by comparing variants using the Polysun system simulation software. Various strategies and parameters were tested based on literature on programming PCM hybrid storage systems. An extended model was designed to meet the objectives of the analysis. The results show that PCM in combination with heat pump systems can reduce grid consumption by up to 25 % and increase self-consumption by a factor of four, while the improvement in the system performance factor remains limited to less than 3 %. A central problem is the limited heat transfer properties of the PCM. This work provides a basis for further investigations into the integration of innovative storage technologies in the building sector. |
Kramer, Anton Valentin Rekuperative Volumenstromregelung (Bachelor Thesis) TU Berlin, 2025. @bachelorthesis{Kramer2025,
title = {Rekuperative Volumenstromregelung},
author = {Anton Valentin Kramer},
year = {2025},
date = {2025-10-28},
urldate = {2025-10-28},
school = {TU Berlin},
abstract = {Lueftungskonzepte bedienen ein weites Spektrum an Anwendungsbereichen. Diese erfordern spezifische und sensible Einstellungen der Stroemungsparameter. In dieser Arbeit wird der Fokus auf Alternativen zur konventionellen Volumenstromdrosselung gesetzt. ueblicherweise verwendete Drosselklappen sind kostenguenstig, einfach steuerbar und lassen sich nachtraeglich in den Luftkreislauf einbauen. Ein selten betrachteter Nebene!ekt dieser Mediumsfuehrung ist der mechanische Energieverlust durch die Reduzierung des Rohrquerschnitts. Der Volumenstrom wird gebremst, und es laesst sich ein statischer Druckverlust beobachten. Dieser Verlust bietet ein Energierueckgewinnungspotenzial. Das Forschungsprojekt befasst sich im Weiteren mit der Quantifizierung des Energieverlustes sowie der Entwicklung eines Alternativansatzes. Im Folgenden wird anstelle der Drosselklappe, eine Rotorkombination mit variablen Schaufelraedern vorgeschlagen. Gestaltet als eine Kombination vorhandener Technologien aus diversen Fachbereichen, wird ein theoretisches Nutzen- und Berechnungskonzept entwickelt. Eventuell resultierende Rekuperationspotenziale werden hinsichtlich ihrer Wirtschaftlichkeit und Umsetzbarkeit bewertet. Als Ansatz zur Berechnung wird die Impulsbilanz von Betzsch fuer Windkraftanlagen verwendet und auf Anwendbarkeit untersucht. Es ist gelungen energetische Rekuperation nachzuweisen und das Mass einzuordnen.},
keywords = {},
pubstate = {unpublished},
tppubtype = {bachelorthesis}
}
Lueftungskonzepte bedienen ein weites Spektrum an Anwendungsbereichen. Diese erfordern spezifische und sensible Einstellungen der Stroemungsparameter. In dieser Arbeit wird der Fokus auf Alternativen zur konventionellen Volumenstromdrosselung gesetzt. ueblicherweise verwendete Drosselklappen sind kostenguenstig, einfach steuerbar und lassen sich nachtraeglich in den Luftkreislauf einbauen. Ein selten betrachteter Nebene!ekt dieser Mediumsfuehrung ist der mechanische Energieverlust durch die Reduzierung des Rohrquerschnitts. Der Volumenstrom wird gebremst, und es laesst sich ein statischer Druckverlust beobachten. Dieser Verlust bietet ein Energierueckgewinnungspotenzial. Das Forschungsprojekt befasst sich im Weiteren mit der Quantifizierung des Energieverlustes sowie der Entwicklung eines Alternativansatzes. Im Folgenden wird anstelle der Drosselklappe, eine Rotorkombination mit variablen Schaufelraedern vorgeschlagen. Gestaltet als eine Kombination vorhandener Technologien aus diversen Fachbereichen, wird ein theoretisches Nutzen- und Berechnungskonzept entwickelt. Eventuell resultierende Rekuperationspotenziale werden hinsichtlich ihrer Wirtschaftlichkeit und Umsetzbarkeit bewertet. Als Ansatz zur Berechnung wird die Impulsbilanz von Betzsch fuer Windkraftanlagen verwendet und auf Anwendbarkeit untersucht. Es ist gelungen energetische Rekuperation nachzuweisen und das Mass einzuordnen. |
Nerlich, Saskia Simulationsmodell zur Auslegung und Betriebsoptimierung von Grosswaermepumpen (Masters Thesis) TU Berlin, 2025. @mastersthesis{Nerlich2025,
title = {Simulationsmodell zur Auslegung und Betriebsoptimierung von Grosswaermepumpen},
author = { Saskia Nerlich},
year = {2025},
date = {2025-01-10},
urldate = {2025-01-10},
school = {TU Berlin},
abstract = {In light of global efforts to combat climate change, this study addresses the integration of large-scale heat pumps into district heating systems. Building on the objectives of the German Federal Climate Protection Act [1] and the requirements of the Heat Planning Act [2], a design tool was developed to enable the automated planning and evaluation of an integrated large-scale heat pump within the existing heat generation of a district heating network as part of a transformation project. The methodology includes a Python-based tool that optimizes the nominal capacity and maximum temperature lift of the large-scale heat pump to be integrated, based on the boundary conditions of the energy system. The tool evaluates technical, ecological, and economic criteria. Beyond its initial focus, the methodology was extended to include the design of a thermal energy storage system directly connected to the heat pump. However, methodological weaknesses in storage control have revealed a significant need for optimization of this program module. The results of the sensitivity analysis highlight discrepancies between technical, economic, and ecological optimization approaches. Key influencing factors examined include network and heat source temperatures, the efficiency of the heat pump, the electricity emission factor, and the price ratio between electricity and natural gas. Future work on the tool should particularly focus on updating the cost calculations, incorporating differentiated development costs for various heat sources, and accounting for relevant funding programs. Additionally, revised storage integration and control, as well as the development of an integrated evaluation framework for optimizing design parameters, are of critical importance.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
In light of global efforts to combat climate change, this study addresses the integration of large-scale heat pumps into district heating systems. Building on the objectives of the German Federal Climate Protection Act [1] and the requirements of the Heat Planning Act [2], a design tool was developed to enable the automated planning and evaluation of an integrated large-scale heat pump within the existing heat generation of a district heating network as part of a transformation project. The methodology includes a Python-based tool that optimizes the nominal capacity and maximum temperature lift of the large-scale heat pump to be integrated, based on the boundary conditions of the energy system. The tool evaluates technical, ecological, and economic criteria. Beyond its initial focus, the methodology was extended to include the design of a thermal energy storage system directly connected to the heat pump. However, methodological weaknesses in storage control have revealed a significant need for optimization of this program module. The results of the sensitivity analysis highlight discrepancies between technical, economic, and ecological optimization approaches. Key influencing factors examined include network and heat source temperatures, the efficiency of the heat pump, the electricity emission factor, and the price ratio between electricity and natural gas. Future work on the tool should particularly focus on updating the cost calculations, incorporating differentiated development costs for various heat sources, and accounting for relevant funding programs. Additionally, revised storage integration and control, as well as the development of an integrated evaluation framework for optimizing design parameters, are of critical importance. |
Ghosh, Soumyadip Testing of Dynamic Control Strategies for Efficient Heat Storage Tank Loading (Masters Thesis) TU Berlin, 2025. @mastersthesis{Ghosh2025,
title = {Testing of Dynamic Control Strategies for Efficient Heat Storage Tank Loading},
author = {Soumyadip Ghosh},
year = {2025},
date = {2025-08-03},
urldate = {2025-08-03},
school = {TU Berlin},
abstract = {This study investigates the application of dynamic control strategies for efficient heat storage tank loading in the context of thermal energy systems. Utilizing a hardware-in-the-loop (HIL) test bench at the Hermann-Rietschel-Institut, the work systematically analyzes and improves the performance of PID-based and linearized PID control methods for regulating hot and cold water buffer tanks. Real-time tests were conducted using a Python-based control software and integrated sensor systems, focusing on parameters such as supply temperature, flow rate, and return temperature stability under varying load conditions. Manual iterative tuning and time-limited ramp testing were employed to optimize controller settings. The study demonstrates that dynamic and linearized control approaches significantly enhance system responsiveness, reduce thermal fluctuations, and maintain stratification more effectively than conventional on-off control methods. These results underscore the importance of tailored control strategies for the operation of district heating and HVAC-integrated systems, paving the way for the intelligent automation of thermal energy storage in both residential and commercial applications.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
This study investigates the application of dynamic control strategies for efficient heat storage tank loading in the context of thermal energy systems. Utilizing a hardware-in-the-loop (HIL) test bench at the Hermann-Rietschel-Institut, the work systematically analyzes and improves the performance of PID-based and linearized PID control methods for regulating hot and cold water buffer tanks. Real-time tests were conducted using a Python-based control software and integrated sensor systems, focusing on parameters such as supply temperature, flow rate, and return temperature stability under varying load conditions. Manual iterative tuning and time-limited ramp testing were employed to optimize controller settings. The study demonstrates that dynamic and linearized control approaches significantly enhance system responsiveness, reduce thermal fluctuations, and maintain stratification more effectively than conventional on-off control methods. These results underscore the importance of tailored control strategies for the operation of district heating and HVAC-integrated systems, paving the way for the intelligent automation of thermal energy storage in both residential and commercial applications. |
Aydin, Ridvan Untersuchung und Bewertung von Abwaermenutzungsmoeglichkeiten in Netzknotenpunkten: Eine wirtschaftliche Analyse fuer Aggregations- und Corestandorte unter Beruecksichtigung verschiedener Szenarien in NRW (Masters Thesis) TU Berlin, 2025. @mastersthesis{Aydin2025,
title = {Untersuchung und Bewertung von Abwaermenutzungsmoeglichkeiten in Netzknotenpunkten: Eine wirtschaftliche Analyse fuer Aggregations- und Corestandorte unter Beruecksichtigung verschiedener Szenarien in NRW},
author = { Ridvan Aydin},
year = {2025},
date = {2025-02-24},
urldate = {2025-02-24},
school = {TU Berlin},
abstract = {The rising energy demand of telecommunications networks, driven by increasing digitalization and data-intensive applications, represents a significant challenge for network nodes. At the same time, the resulting waste heat potential offers an opportunity to decarbonize the heating sector. This thesis examines the technical and economic potential of waste heat utilization at Deutsche Telekom network nodes, with a focus on core and aggregation sites. Based on detailed modeling, the available waste heat potential and the economic efficiency of various system options for heat extraction were analyzed. To this end, electrical energy consumption was disaggregated, thermodynamic models were created and a district heating network was modeled. Two future scenarios for the year 2030 take into account technological developments, climatic changes and electricity price trends. The profitability assessment was carried out using the net present value and amortization method. The results show that waste heat utilization at the core site is economically viable, while it does not appear profitable at the aggregation site due to low waste heat potential and high investment costs. Favorable electricity prices and improved grid integration can further increase the economic viability. The work provides a scientifically sound basis for decision-making on the sustainable use of waste heat in telecommunication systems.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
The rising energy demand of telecommunications networks, driven by increasing digitalization and data-intensive applications, represents a significant challenge for network nodes. At the same time, the resulting waste heat potential offers an opportunity to decarbonize the heating sector. This thesis examines the technical and economic potential of waste heat utilization at Deutsche Telekom network nodes, with a focus on core and aggregation sites. Based on detailed modeling, the available waste heat potential and the economic efficiency of various system options for heat extraction were analyzed. To this end, electrical energy consumption was disaggregated, thermodynamic models were created and a district heating network was modeled. Two future scenarios for the year 2030 take into account technological developments, climatic changes and electricity price trends. The profitability assessment was carried out using the net present value and amortization method. The results show that waste heat utilization at the core site is economically viable, while it does not appear profitable at the aggregation site due to low waste heat potential and high investment costs. Favorable electricity prices and improved grid integration can further increase the economic viability. The work provides a scientifically sound basis for decision-making on the sustainable use of waste heat in telecommunication systems. |
2024
|
Alam, Raafay A comparison of various statistical and machine learning techniques for heat demand forecasting (Masters Thesis) TU Berlin, 2024. @mastersthesis{Alam2024,
title = {A comparison of various statistical and machine learning techniques for heat demand forecasting},
author = { Raafay Alam},
year = {2024},
date = {2024-11-29},
urldate = {2024-11-29},
school = {TU Berlin},
abstract = {Forecasting the heat demand is an essential task in modern energy systems. It enables energy providers to balance production, distribution, and consumption effectively. Consequently, this allows for the development of sustainable operations at lower costs. Extensive efforts have been put into research and industrial practices that focus on optimizing the energy system to meet the demands of all agents interacting within it. Newer methods are regularly studied as forecasting methods develop to keep the accuracy high. In our study, we aim to compare five different methods for heat demand forecasting. The methods in our study include classical statistical models, machine learning techniques, and deep learning models. Namely ARIMA, SARIMA, SARIMAX, Support Vector Regression, and Long Short-Term Memory networks. These methods have been applied to a real-world heat demand dataset from Denmark, with hourly data for three years. In addition to evaluating forecasting methods, our study also considers the effect of supplementary features on the performance of these models.},
keywords = {},
pubstate = {unpublished},
tppubtype = {mastersthesis}
}
Forecasting the heat demand is an essential task in modern energy systems. It enables energy providers to balance production, distribution, and consumption effectively. Consequently, this allows for the development of sustainable operations at lower costs. Extensive efforts have been put into research and industrial practices that focus on optimizing the energy system to meet the demands of all agents interacting within it. Newer methods are regularly studied as forecasting methods develop to keep the accuracy high. In our study, we aim to compare five different methods for heat demand forecasting. The methods in our study include classical statistical models, machine learning techniques, and deep learning models. Namely ARIMA, SARIMA, SARIMAX, Support Vector Regression, and Long Short-Term Memory networks. These methods have been applied to a real-world heat demand dataset from Denmark, with hourly data for three years. In addition to evaluating forecasting methods, our study also considers the effect of supplementary features on the performance of these models. |
