What is the challenge that is being addressed?

This business model is based on achieving a proper balance in between the investment and the energy savings achieved to reduce the ROI as much as possible. In the process of deciding if a project is economically feasible (Viable) or not the ‘data’ are relevant, data from potential Energy Conservation Measures (ECMs), cost, energy cost projections, as well as prediction of future energy behaviour/performance. On the other hand, regarding the Energy Performance contracting and their compliance, the energy savings verification is a crucial task.

What is the AI solution the project plans to implement?

Methods (based on protocols like IPMVP) to estimate savings need data: static and dynamic data to build simulations, estimations or statistics approach or real/live data from monitoring/metering networks/devices.

Who will help implement this solution?

This pilot is implemented within the framework of the “I-NΕRGΥ: Artificial Intelligence for Next Generation Energy” Project. The I-NERGY Project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement No. 101016508.

The responsible partner for this Use Case is VEOLIA (https://www.veolia.es/).

Learn more about I-NERGY pilots here: https://i-nergy.eu/pilots