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The project addresses key challenges in the transformation of the energy system in the context of decarbonization, digitalization, and increasing system complexity. The focus is on the development of a standardized PBD approach, which enables the efficient integration of renewable energy sources - particularly geothermal energy - across different system levels.

By linking technological, spatial, and systemic levels, the project aims to provide scalable and transferable solutions for the planning and optimization of sustainable energy systems at the city and district level.

Factsheet
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Short nameGOES
TitleGeothermal based Optimized Energy Systems
Duration31.12.2022 – 31.08.2026
Partners8 (show all)
Project typeCo-funded research project
Project lead AITNicolas Marx

Overview
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The project develops and validates a standardized framework for PBD that improves information exchange and interoperability across different levels of the energy system. The goal is to facilitate the integration of geothermal energy systems into existing and new urban structures and to ensure their efficient deployment.

Within the project, methods are developed for identifying suitable sites, creating detailed subsurface models, and integrating heating and cooling networks. The solutions are applied and tested in several pilot and demonstration projects across different countries.

In addition, the ecological and techno-economic impacts of the developed approaches are analyzed. The results contribute to the development of standardized, scalable solutions for sustainable energy supply systems at the city and neighborhood level.

Findings
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Platform-based approaches enable integrated energy systems
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The application of a standardized PBD approach allows the linking of different levels of the energy system and supports holistic planning and optimization of geothermal energy systems.

Standardized interfaces are key to scalability
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The definition of clear interfaces between different scale levels improves information exchange and enables efficient integration of technologies into existing and new urban energy structures.

Geothermal energy offers great potential for urban energy systems
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The results show that shallow geothermal energy, particularly in combination with heating and cooling networks, offers significant potential for sustainable energy supply at the city and district level.

Multi-scale models improve decision-making processes
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The use of detailed subsurface models and energy system analyses across different levels enables more informed decision-making in the planning and implementation of energy systems.

Demonstration projects confirm transferability
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The application of the PBD approach in several pilot and case studies across different countries demonstrates the reproducibility and transferability of the developed solutions.

Ecological and economic assessment is essential
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The analysis of environmental impacts and techno-economic aspects provides important insights for implementing climate-neutral solutions in the heating and cooling sector.

Activities
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WP1: Subsurface Scale
At the subsurface level, site-specific conditions as well as thermal interactions with existing infrastructure are analyzed. Using multiphysics simulations, models are developed, which are subsequently simplified, standardized, and validated using pilot sites.
WP2: Technology & Building Scale
In the second work package, local energy sources and demands are analyzed and integrated. Simulation-based design platforms and machine learning approaches are applied to determine heating and cooling demands and to develop models for buildings and energy systems.
WP3: City-to-City Scale

Lead: AIT

The focus is on integrating spatially resolved models for energy demand and supply, as well as developing standardized interfaces between different scale levels. The objective is to enable the exchange of models and design specifications and to ensure consistent system integration.

In addition, WP3 includes the development of a KPI framework for evaluating decisions in energy system design, as well as the use of advanced modeling techniques to identify optimal energy solutions.

The linkage between city and district levels enables feedback within the planning process and supports informed decision-making across different scales.

WP4: Cross-Scale Integration
WP4 connects the results from the different scale levels and integrates them into a unified platform concept. The focus is on the development of standardized interfaces and a transferable framework for application across different locations.
WP5: Implementation
In this work package, the developed methods and models are validated and demonstrated in pilot projects. This includes calibration, application in real-world environments, and the derivation of best-practice approaches.
WP6: Management
Management includes the coordination and monitoring of all project activities. This involves organizational tasks, progress control, data management, as well as supporting knowledge transfer and collaboration within the consortium.

Further information
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Publications
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Publication
Alessandro Maccarini, Michael Wetter, Davide Varesano, Martin Bloemendal, Alireza Afshari (2023). Low-order aquifer thermal energy storage model for geothermal system simulation

Publication
Nicolas Marx, Daniel Horak, Johannes Conrad, Bernhard Mayr, Ralf-Roman Schmidt, Edith Haslinger and Ali Hainoun (2024). Techno-Economic Feasibility of District and Individual Heating & Cooling Solutions – A Preliminary Assessment of Selected Case Studies

Journal
Matthias Sulzer, Michael Wetter, Robin Mutschler, Alberto Sangiovanni-Vincentelli (2023). Platform-based design for energy systems

Journal
Florian Barth, Simon Schüppler, Kathrin Menberg, Philipp Blum (2023). Estimating cooling capacities from aerial images using convolutional neural networks

Journal
Daniel Horak, Ali Hainoun, Gernot Stoeglehner (2025). Urban energy system modeling as strategic tool for integrated spatial and energy planning: A multi-node, multi-stage optimization approach, 2025

Project partners
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