Imagine having a crystal ball and a remote control for a giant solar water heater. This project creates a digital twin—a virtual copy—that predicts when the sun will shine and when heat is needed. It automatically fixes errors and tells operators exactly how to run the system to save the most money and carbon.
Large-scale solar thermal investments are currently hindered by a lack of investor-trusted planning tools and inefficient operation. This leads to higher risks and longer return-on-investment periods for industrial and district heating.
The DS Suite, a digital platform featuring digital twins, AI-driven fault detection, supply/demand forecasting, and model predictive control.
If you are a municipal utility provider dealing with unpredictable solar heat gains and high carbon emissions — this project developed the DS Suite that uses AI-driven forecasting to optimize energy flexibility and lower return-on-investment periods.
If you are a process heat intensive factory dealing with expensive fossil fuel heating — this project developed a digital twin platform that enables 100% decarbonization of industrial heat through hybrid solar thermal integration.
If you are an engineering firm dealing with investor hesitation due to high risk in solar thermal projects — this project developed investor-trusted planning tools that de-risk deployment and boost market penetration.
Based on available project data, specific pricing is not mentioned, but the project focuses on developing innovative business models to lower return-on-investment periods.
Yes, the project is designed for large-scale solar thermal systems and will be validated at 4 demo-sites for industrial and district heating applications.
Based on available project data, there is no specific information regarding IP or licensing agreements.
The DS Suite integrates solar thermal with other renewable energy sources to create hybrid solutions using model predictive control (MPC) and AI.
The project runs from 2025-09-01 to 2029-08-31, suggesting the tools will be fully developed and validated by late 2029.
The consortium is heavily industry-driven with a 73% industry ratio, comprising 8 industrial partners and 4 SMEs. This strong commercial lean, combined with 3 R&D institutions across 7 European countries, indicates a high focus on market viability and practical deployment rather than pure academic research.
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