If you are a utility provider dealing with fluctuating energy prices and high heating demands — this project developed a trigeneration system that allows a plant to switch between power, heat, and cooling. This enables you to balance the grid and respond to market signals.
Flexible Geothermal Plants for Electricity, Heating, and Cooling Production
Imagine a geothermal power plant that acts like a smart battery for a city. Instead of just making electricity, it can switch to heating homes or cooling buildings depending on what is cheapest or most needed at that moment. It uses special thermal storage tanks to save energy for later, making the whole system much more flexible.
What needed solving
Geothermal plants typically run in a rigid baseload mode, making them unable to respond to changing electricity prices or specific heating and cooling demands.
What was built
A trigeneration system combining an Organic Rankine Cycle (ORC), thermal energy storage (HTES/CTES), an absorption chiller, and an AI-driven energy management system.
Who needs this
Who can put this to work
If you are an operator dealing with inflexible baseload plants that cannot respond to market fluctuations — this project developed an AI-based energy management system and thermal storage. This transforms your plant into a dispatchable source of energy.
If you are a facility manager dealing with high costs for cooling and heating — this project developed an integrated absorption chiller and thermal storage system. This allows for more cost-effective temperature control using geothermal resources.
Quick answers
How does this impact operational costs and gas imports?
If implemented across all EU ORC plants, the technology could deliver 215 TWht of heat, potentially saving € 9.6 billion per year on natural gas imports.
Is this technology tested at an industrial scale?
Yes, the project includes the validation of the complete system at an industrial-scale geothermal site located in Türkiye.
What is the IP or licensing status of the system?
Based on available project data, specific licensing terms are not mentioned, but the project involves 5 industry partners and 3 SMEs developing the technical specifications and control logic.
How does the system handle energy market volatility?
The system uses an AI-based energy management system (EMS) that interacts with the day-ahead market and grid operators to schedule production based on predicted prices.
What is the timeline for the project development?
The project is active from June 1, 2024, to May 31, 2028.
Who built it
The consortium is heavily industry-driven with a 71% industry ratio, consisting of 5 industrial partners (including 3 SMEs) and 2 research organizations. This strong commercial presence, spanning 6 countries (BE, DE, FR, IE, TR, UK), suggests a high focus on commercial viability and practical deployment rather than pure academic research.
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