It develops its activity within the Wind Energy Department. It is comprised of a multidisciplinary group of engineers, physicians and mathematicians that provide their experience and knowledge by developing R&D projects, technical assistance and services. The main objective consists in placing the latest technology related to the assessment and prediction of resources in different time and physical scales at the disposal of promoters, other players in the sector and wind energy manufacturers, to enable them to cope with new projects.
Advanced methodology in Wind Resource Assessment and Farm Design:
- Technical assistance to develop international projects from the country scale to the wind farm.
- High-resolution wind maps and generation of virtual stations in areas without measurements. The resolution of our maps reaches hundreds of metres and our virtual wind series cover an 8-year period.
- Wind anomaly and power density maps. Seasonal and inter-annual variations of the wind resource are included in these maps presented in GIS formats, enabling the promoter to obtain resource comparisons within a specific period and anywhere in the world.
- Hurricane path study. In tropical countries it is essential to know the probability of a hurricane affecting the farm. Our tool, based on 160 years’ measurements, provides this information in the more critical areas of the planet.
- Characterisation studies of site and extreme speeds.
- Design and monitoring of measurement campaigns: Mast and LIDAR. Remote measurement systems permit reducing costs and increasing the scope of traditional measurement campaigns. Thanks to the R&D projects developed by CENER at its experimental farm, the Wind Energy Department assumes a state-of-the-art position in the use of LIDAR in complex terrain.
- Assessment studies of the wind resource and estimation of power production. It permits combining practically all our tools in one single product, providing results with a maximum degree of precision and reliability.
- Simulation of the wind field and turbulence with CFDWind and calculation of wake effects with CFDWake. The CFD models developed by CENER engineers allow for detailed simulation of the wind behaviour in scenarios that vary from complex terrain to wakes in offshore farm clusters.
- Bespoke training courses. The staff of the Technical Department provides customised training courses in line with each company’s requirements, affording their knowledge and expertise to the characteristics required by the customers.
Wind Resource Assessment Methodology in the Sea:
- Wind resource assessment in offshore environment presents peculiarities associated with the atmospheric stability that require specific solutions. The CFD models developed by CENER provide a response to this demand, increasing the precision and reliability of the results.
Advance Prediction Models: Wind Farm Prediction System for daily and intra-daily market:
- CENER offers quality predictions in both the daily and intra-daily Spanish markets, based on an ensemble of short and long-term prediction models with which it provides a service to some of the most important electricity companies in the country.
CENER has acquired considerable expertise giving technical support in wind development projects around the world for a total value of more than 25,000 MW.
The use of LIDAR permits carrying out an exhaustive experimental characterisation of the wind flow on a site and complementing the mast measurements up to 200 m high. CENER are specialists in its use in complex terrain by means of the techniques validated at our Experimental Farm.
On its website (www.cener.com) CENER publishes the wind, clouds, rainfall and waves forecast for both Spain and Portugal each day.
The EPR service has participated in several projects (in some as coordinator), where its partners have been the most relevant research centres and companies in the national and international wind scenario.
- FP7-WAUDIT (2009-2013)
- FP7-SAFEWIND (2008-2012)
- IEA-WAKEBENCH (2011-2014)
- INNPACTO-EMERGE (2010-2013)
- Wind map of Tunisia