Project Overview
GHOST DigiT is a research project focused on developing digital twin technology for geological heat storage. The project addresses how subsurface heat storage systems can be designed, monitored, and operated more efficiently using advanced numerical simulation, data integration, and optimization methods.
GHOST DigiT targets underground energy storage (UTES), including Borehole Thermal Energy Storage (BTES) and Fractured/Aquifer Thermal Energy Storage (FTES/ATES) systems, each playing an important role in seasonal energy storage and the integration of renewable heat into future energy systems. By combining physics-based simulation models with operational data, GHOST DigiT aims to reduce uncertainty and improve decision-making throughout the lifetime of such systems.
Objectives and Scope
The main objective of GHOST DigiT is to develop digital twin technologies that support both design and operation of geological heat storage systems. This includes:
- Advancing simulation models for BTES and F/ATES at relevant spatial and temporal scales
- Integrating observational data for calibration and continuous model updating
- Enabling optimization of system design and operational strategies under uncertainty
The project covers the full workflow from subsurface modeling to operational decision support, with strong emphasis on methods that are scalable, robust, and applicable to real industrial and urban heat-storage systems.
Progress in Simulation Capabilities
Significant progress has been made in the development of advanced simulation capabilities for BTES and F/ATES systems. The project has extended existing geothermal simulation tools to better represent and analyse:
- Complex borehole configurations and multi-well systems
- Coupled heat transport and fluid flow in heterogeneous and fractured subsurface media
- Long-term thermal evolution and interaction with groundwater systems
These developments enable more realistic modeling of both charging and discharging phases, as well as assessment of heat losses, thermal interference, and system efficiency over multiple years of operation. The resulting models are used both for system analysis and as digital twin cores in operational studies.
Digital Twins in GHOST DigiT
In GHOST DigiT, a digital twin is understood as a living, physics-based model of a geological heat storage system that is continuously informed by data. This goes beyond traditional static simulation models and includes:
- Regular updating and calibration using operational data
- Explicit handling of uncertainty and sensitivities
- Use of the model as a tool for prediction, optimization, and decision support
Although the establishment of fully featured digital twins is not within the project's scope, GHOST DigiT aims to develop enabling technologies that link subsurface models with surface facilities and operational constraints, making it possible to evaluate alternative operational strategies and to support informed decisions during day-to-day operation and long-term planning.
Differentiable Simulation and Gradient-Based Methods
A key methodological innovation in GHOST DigiT is the development and use of differentiable simulation. By making the simulation models differentiable, it becomes possible to compute accurate gradients of performance metrics with respect to model parameters and control variables. This enables efficient gradient-based methods for:
- Model calibration and data assimilation
- Sensitivity analysis
- Optimization of design parameters and operational strategies
These methods are especially valuable for understanding geothermal storage systems, where geological complexity often exists alongside a scarcity of detailed subsurface data.
Case Studies and Demonstrators
The methods and digital twin concepts developed in GHOST DigiT are demonstrated and validated through several real-world case studies:
- Wesselkvartalet (Oslo): An urban BTES system used in the project to study groundwater interaction, heat leakage, and alternative operational strategies.
- GeoTermos (Drammen): Generic and scalable BTES concepts focusing on system design, performance assessment, and coupling with surface energy systems.
- Kvitebjørn / Skattøra (Tromsø): A full-scale seasonal geothermal storage plant used to investigate calibration versus prediction, delayed thermal response, and operational uncertainty.
- LKAB / Kiruna-related concepts (Narvik): Large-scale industrial heat storage concepts addressing long-term storage and integration in energy-intensive industrial settings.
Together, these case studies ensure that the project developments are grounded in practical challenges and realistic operating conditions.
Scientific Outputs
GHOST DigiT has produced and continues to produce scientific outputs targeting both the geothermal and applied mathematics communities. These include:
Conference papers and peer-reviewed journal publications
- Fimbul.jl – fast, flexible, robust, and differentiable geothermal energy simulation in Julia – Conference paper, EAGE GET 2025, DOI: 10.3997/2214-4609.202521164
- Conceptualizing, Simulating and Optimizing the Integrated Operation of a Multi-Component UTES System – Conference paper, EAGE Annual Conference & Exhibition, 2024, DOI: 10.3997/2214-4609.2024101335
- Proxy Models for Rapid Simulation of Underground Thermal Energy Storage – Conference paper, EAGE GET 2024, DOI: 10.3997/2214-4609.202421075
Presentations at international conferences and other venues
- Digital twinning of underground thermal energy storage (UTES) systems – Conference presentation, GeoEnergy 2025
- Fimbul.jl – fast, flexible, robust, and differentiable geothermal energy simulation in Julia – Conference presentation, EAGE GET 2025
- Prediktive digitale tvillinger for optimal drift av GeoTermos – Conference presentation, GeoTermos-festivalen 2025
- Nonlinear domain decomposition preconditioning for efficient simulation of underground thermal energy storage – Conference presentation, SIAM 2025
- Predictive digital twins for UTES using differentiable programming – Conference presentation, AICOMAS 2025
- Prediktive digitale tvillinger for optimal drift av GeoTermos – Conference presentation, GeoTermos-festivalen 2025
- Conceptualizing, Simulating and Optimizing the Integrated Operation of a Multi-Component UTES System – Conference presentation, EAGE Annual Conference & Exhibition, 2024
- Direct Heat Geothermal Energy: Importance of Forward Modelling and Data Assimilation – Dedicated session, EAGE Annual, 2024
- Lavtemperatur geotermisk energi – Undergrunnen som varmekilde og varmelager – Presentation, Seniorteknologenes Høstkonferanse: Energi, 2024
- Proxy Models for Rapid Simulation of Underground Thermal Energy Storage – Conference presentation, EAGE GET 2024
Open and representative models, algorithms, and open-source simulation frameworks
- Fimbul.jl – Julia-based toolbox for geothermal simulations
Other publishing
- Banebrytende gjennombrudd kan spille en nøkkelrolle i fremtidens energisystem – op-ed, Alltinget, June 2025
- Digital Twins for Geothermal Reservoirs – Master's thesis, Peder Brekke, NTNU, 2025
Additional information on the industrial case studies
Skattøra
Kvitebjørn Varme AS supplies the whole of Tromsøya with district heating. Ruden Energy is developing a high-temperature UTES solution (140°C) in 300 m deep wells at Tromsø, allowing heat produced in the summer to be utilized in the winter. The production of heat at Kvitebjørn Varme takes place through waste incineration with heat recovery. The project aims for a discharge capacity of 6–8 MW with a storage volume of 20 GWh. Utilizing this heat in the wintertime will further reduce demands for electric heating. The main research challenges at Skattøra are optimal plant configuration, including understanding local geology, including major faults and dominating fracture networks, and determining optimal operational conditions.
Wesselkvartalet
Wesselkvartalet is a newly constructed, mixed residential/commercial building complex in the city of Asker. It integrates a multi-reservoir, geothermal storage facility to cover its heating and cooling needs, as well as supplying stored heat in the winter to a distributed snow-melting system for the city streets. The operation of the geothermal system is complex, with three geothermal reservoirs at different depths (5, 20 and 400 m) and very different properties, and comprising more than a hundred wells, set up to provide both constant base load and rapid release of heat at occasional peak loads. The plant has now been in operation since around 2020. Current major challenges include understanding and preventing significant energy leakage (advective and diffusive), determine optimal operational conditions, best use of available data, and evaluate utility and potential of new data sources.
Fjell Skole GeoTermos
Fjell Skole GeoTermos is a borehole thermal energy storage (BTES) system located beneath the parking area of Fjell elementary school in Drammen. The system comprises 100 boreholes, each 50 meters deep, arranged in a circular pattern to store thermal energy harvested during the summer months. This stored energy is then used to heat approximately 10,000 m² of building space during the winter.
The system is designed as a closed-loop, scalable solution that minimizes climate emissions and peak electricity demand. GeoTermos has demonstrated that seasonal storage of solar energy is feasible and effective in Norway, and it has attracted international attention as a model for sustainable urban energy systems.
Narvik GeoTermos
LKAB is developing a geothermal borehole thermal energy storage system at its Narvik facility to reduce energy use and climate emissions from energy-intensive industrial processes. The system follows the same closed-loop BTES concept as the GeoTermos installation at Fjell elementary school, but is scaled and configured for industrial heat demand. Surplus heat is stored in bedrock and recovered during winter, primarily to replace oil-based heating and reduce peak electricity demand in de-icing and washing of iron-ore wagons. The system is currently under development, and forms part of LKAB’s long-term strategy to phase out fossil energy use.