Development of an Open-Source Tool for Feasibility Assessment of Thermal Energy Storage (FATES)

Mohammad Khasheei

doi:10.34901/mul.pub.2025.096

Development of an Open-Source Tool for Feasibility Assessment of Thermal Energy Storage (FATES)

Titel in Übersetzung: Entwicklung eines Open-Source-Tools für die Feasibility Assessment of Thermal Energy Storage (FATES)

Mohammad Khasheei

Lehrstuhl für Geoenergy Production Engineering (550)

Publikation: Thesis / Studienabschlussarbeiten und Habilitationsschriften › Masterarbeit

75 Downloads (Pure)

Abstract

Die Verringerung der Energieverschwendung ist ein entscheidender Faktor für die Erreichung der Ziele im Bereich der ökologischen Nachhaltigkeit. Aquifere mit ihrer beträchtlichen Speicherkapazität sind eine vielversprechende Lösung für die thermische Energiespeicherung und bieten sowohl kurz- als auch langfristige Optionen. Fortschritte in der Aquifer-Thermal-Energie-Storage (ATES) Technologie haben deren Wirtschaftlichkeit verbessert, was zu einem erhöhten Interesse an Anwendungen in nachhaltigen Energiesystemen geführt hat. Obwohl numerische Simulationen ein großes Potenzial für die Bewertung der Leistungsfähigkeit von ATES-Systemen zeigen, sind sie oft ressourcenintensiv und erfordern einen erheblichen Zeit- und Rechenaufwand. Angesichts der beschleunigten Energiewende besteht ein Bedarf an kosteneffizienten Werkzeugen, um Optimierungsprozesse und Unsicherheitsanalysen zu vereinfachen. Im Rahmen dieser Arbeit wurde FATES (Feasibility Assessment of Thermal Energy Storage) entwickelt, ein schnelles, Open-Source-basiertes Python-Tool zur Modellierung, Analyse und Optimierung der Leistungsfähigkeit von ATES-Systemen. Durch die Integration von Design of Experiments (DoE) Methodik, statistischer Analyse und numerischer Simulation mit OpenGeoSys (OGS) verwendet FATES ein Response Surface Model (RSM), um die Leistung von ATES-Systemen innerhalb von Sekunden zu approximieren. Die Hauptfunktion von FATES besteht darin, den Einfluss verschiedener Parameter auf die Leistung von ATES-Systemen zu bewerten und die wichtigsten Faktoren (Heavy Hitters) zu identifizieren. Diese werden dann verwendet, um ein Proxy-Modell zu entwickeln, das in der Lage ist, das Systemverhalten effizient zu approximieren. Das Proxy-Modell erleichtert schnelle Monte-Carlo-Simulationen und ermöglicht die Erstellung von Wahrscheinlichkeitsverteilungen für mögliche Ergebnisse. Abschließend wurde FATES im Rahmen dieser Arbeit mit realen Felddaten von einem potenziellen ATES-Standortes im Süden Wiens getestet, die von EVN Wärme GmbH zur Verfügung gestellt wurden.

Titel in Übersetzung	Entwicklung eines Open-Source-Tools für die Feasibility Assessment of Thermal Energy Storage (FATES)
Originalsprache	Englisch
Qualifikation	Dipl.-Ing.
Gradverleihende Hochschule	Montanuniversität
Betreuer/-in / Berater/-in	Yoshioka, Keita, Betreuer (intern) Götzl, Gregor, Mitbetreuer (extern), Externe Person
Datum der Bewilligung	11 Apr. 2025
DOIs	https://doi.org/10.34901/mul.pub.2025.096
Publikationsstatus	Veröffentlicht - 2025

Bibliographische Notiz

nicht gesperrt

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Schlagwörter

Aquiferspeicherung thermischer Energie
Numerische Simulation
Design of Experiment

Zugriff auf Dokument

10.34901/mul.pub.2025.096Lizenz: CC BY

VolltextEndgültige, publizierte Fassung, 16,7 MB

Dieses zitieren

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abstract = "Reducing energy waste plays a critical role in achieving environmental sustainability targets. Aquifers, with their substantial storage capacity, present a promising solution for thermal energy storage, offering both short- and long-term options. Recent advancements in Aquifer Thermal Energy Storage (ATES) technology have enhanced its economic viability, driving increased interest in its applications for sustainable energy systems. Although numerical simulations have shown great potential for evaluating the performance of ATES systems, they are often resource-intensive, requiring significant time and computational investment. In the context of the accelerating energy transition, there is a need for cost-effective tools to streamline optimization processes and uncertainty analysis. During this thesis FATES (Feasibility Assessment of Thermal Energy Storage), a fast-running, open-source Python-based tool has been developed to model, analyze, and optimize ATES system performance. Integrating Design of Experiments (DoE) methodology, statistical analysis, and numerical simulations using OpenGeoSys (OGS), FATES leverages a response surface model (RSM) to approximate ATES system outputs in mere seconds. The primary functions of the FATES are to assess the influence of various parameters on the performance of ATES systems and to identify the most significant factors (heavy hitters), which then are used to develop a proxy model capable of efficiently approximating system behavior. The proxy model facilitates rapid Monte Carlo simulations, enabling the generation of probability distributions for potential outcomes. Finally, in this thesis, FATES has been tested using real-world field data from a potential ATES target site in southern Vienna, provided by EVN W{\"a}rme GmbH.",

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