Sopcawind has developed a software to find the optimum location for windfarms in Europe by taking into account various criteria such as wind potential, the characteristics of the local environment, potential interference with communication systems, noise, housing area, sun exposure, the visual effect and even the existence of sites of archaeological value.

The purpose of this software is to facilitate the design process of wind farms, avoiding complications to building and saving costs. During the project two main services will be developed. These are the Sopcawind Data Pool and the Sopcawind Tool. The Sopcawind Data Pool is used for consulting processed data stored in the system and combining various datasets to provide a view on development opportunities within large areas. The Sopcawind Tool is for windfarm optimization by screening large areas for development opportunities, thus optimizing costs. Sopcawind combines different steps of the development stage.

By so doing, it reduces time and costs, and screens large areas for development opportunities and analyses the impact on radars and telecommunication systems. The software uses geo-referred datasets of multidisciplinary data on the wind farm’s design and wind data (time series and statistics). From this, it generates constraint maps that are based on environmental protection, populated areas, transport networks, etc. that can be used to¬†evaluate and determine potential areas. It also makes impact studies, assesses the park layout, which optimizes cost and yield. Finally, with this information, the software is able to select a wind farm location within a constraint free area.

Objectives and beneficiaries

Sopcawind optimizes time and reduces costs in the design and implementation of wind farms, finding the most appropriate locations for their construction.

Strong points of the practice

It facilitates the design of wind farms. It provides relevant information prior to the construction of the wind farm, helping to speed the pre-construction evaluation process, thus saving time and risks. It helps to optimize the effectiveness of wind farms by providing areas of optimal conditions for the installation of wind farms.

Expected results and benefits for climate change adaptation and mitigation

By speeding up the process of establishing wind farms and reducing their costs, it drives the use of wind energy. This contributes to the spread of sources of energy that will enable emissions reductions.

Replicability potential of the practice

Sopcawind is an all-in-one tool combining different parts of the windfarm development process, reducing time and costs, enabling quick screening of large areas for development opportunities, analysing the impact on radars and telecommunication systems and optimising wind farm layout by cost and yield. These features contribute to its replicability.