ADVANCED TOOLS TO OPTIMISE OPERATION AND MAINTENANCE ACTIVITIES IN WIND FARMS

The primary objective of SmartWind is to provide an integrated platform for cost reduction and revenue optimisation based on advanced and automated functions for data analysis, fault detection, diagnosis and O&M recommendations, this way achieving operational excellence, maximising availability and OPerating EXpenditure (OPEX) reduction both at the wind farm, wind turbine and component level.

SmartWind will contribute to achieve a reduction of the total costs of renewable wind power generation and the Levelized Cost of Electricity (LCoE), providing advanced and automated functions from data analysis for early fault detection and diagnosis, and Operations and Maintenance (O&M) planning at wind assets.

Such functions will be part of a cloud platform that collects data from SCADA, sensors and control systems, such as condition and maintenance management or inspections and facilitates the decision making for O&M. Machine Learning algorithms and other artificial intelligence techniques are the backbone of early fault detection and diagnosis.

The project consortium is well balanced with five actors from industry and academia covering the whole value chain: Three specialists in ICT systems for data analytics and the monitoring and control of renewables (ISOTROL, ENFORMA, NETAŞ), one O&M company (ZORLU ENERJİ) and two research centres with crucial competencies in maintenance and wind generation optimisation (TECNALIA and RUB).

Participants
Isotrol (Spain), Enforma (Turkey), Netas Telekomunikasyon (Turkey), Zorlu Enerji (Turkey) and the University of Bochum (Germany).

Execution Period: 2019 – 2022

Web Site
https://smart-wind.eu/

Web Site EUROGIA
http://www.eurogia.com/component/project/143-smartwind.html

Financing
Center for Industrial Technological Development (CDTI) and co-financed by the EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER) through the Spanish Multi-Regional Operational Program 2014-2020.
SMARTWIND has the EUROGIA Label: EG20 1201 which certify it as EUROGIA2020 project (EUREKA Project).

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