Next generation renewable energy portfolio asset management based on predictive analytics

Informations projet

REWAM

N° de convention de subvention: 782545

DOI

10.3030/782545

Projet clôturé

Date de signature de la CE 27 Juillet 2017

Date de début 1 Août 2017

Date de fin 31 Janvier 2018

Financé au titre de

• SOCIETAL CHALLENGES - Secure, clean and efficient energy

Coût total

€ 71 429,00

Contribution de l’UE

€ 50 000,00

Coordonné par

ISOTROL SA
Spain

Periodic Reporting for period 1 - REWAM (Next generation renewable energy portfolio asset management based on predictive analytics)

Période du rapport: 2017-08-01 au 2018-01-31

Résumé du contexte et des objectifs généraux du projet

The maturity of renewable generation technologies is a reality where new players such as investment funds and utilities are taking central stage as assets owners. Portfolio managers, handle hundreds of facilities with diverse technologies with thousands of generation equipment’s and several GW of installed power with the duality goal of maximize generation and the extension of life of the renewable asset. Since renewable energy plants generate large number of data quick and continuously, there is a great opportunity here to turn the renewable data into profit. The main barrier found in the market for this chance, relies on the fact that the time consumed for analysis is too long due to the large amount of information to be processed, and the results are obtained too late to act effectively. The next challenge that the sector is facing is that the relations between variables are not always simple. The process for discovering them is not only about managing large amount of information, but discovering complex interrelations between large number of variables to identify a degradation or loss of production, and consequently identify main possible cause to suggest an action plan.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

In response, the REWAM team, has developed a strategy for, an early diagnosis, with enables conservative, improving or preventive actions to contain the advancement of the power output degradation & non optimal operation, thus increasing the revenues at managing large renewable generation portfolios. Interviews with Key Actors have confirmed interest from the field and have confirmed the need for demo and piloting validation.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

The selection and validation of the algorithms will be performed via piloting phases with Key Actors (KA) and the validated algorithms will be integrated in a SaaS solution, based on Machine Learning and Artificial Intelligence. In order to provide and early payback investment and to ease the adoption of the SaaS solution an asset performance diagnosis report will be piloted together with KA (utilities, investments funds). Then it will be first launched to the market via limited period report service. After validation via KA, the service will be offered as a SaaS ICT solution as a standard decision support tool. In the best case scenario in four year projections, we expect to achieve an IRR of 20% and an NPV of 467.4 k€. In the long term, society will be benefits from electricity billing reduction thanks to the O&M competitiveness of renewable assets.

REWAM-Asset Perfornace Diagnosis for renewable asset