It is estimated that we will reach 74% of electricity generation through renewable sources, and wind energy will continue to play a key role in achieving total decarbonization by 2050.

Spain has 1,345 wind farms installed in 850 municipalities, with a total of 22,042 wind turbines, according to data from the Spanish Wind Energy Association 

Spain ranks third among wind turbine exporting countries, behind Denmark and Germany. Export activity exceeds 1.75 billion euros per year.

This scenario not only highlights the need for the development of renewable energy parks for a real sustainable energy transition, but also the necessity to balance it with environmental protection in compliance with the Sustainable Development Goals (SDGs).

How can the environmental impact of a wind farm be analyzed?

From the construction phase of a wind farm, an in-depth analysis can be conducted to consider the actions that need to be taken into account to understand the environmental impact. This requires knowledge of the legal framework at all levels, as well as creating a comprehensive inventory of the project where issues such as necessary infrastructure, location alternatives, and protected areas are determined, along with an assessment of the physical environment.

Understanding the climate, meteorology, soil composition and nature, as well as aspects such as the surrounding environment or water study, are fundamental not only for understanding the environmental impact of the wind farm but also for influencing the accuracy of future energy production predictions.

How the environment influences predictions

For example, the composition and nature of the soil influence the stability of infrastructures and water drainage management, which are critical aspects to prevent erosion and other environmental problems. A detailed analysis of the climate and meteorology allows for adjusting energy production expectations and designing systems capable of understanding in detail the necessary data to minimize errors in energy production prediction.

This is where artificial intelligence (AI) becomes a key ally. By analyzing large volumes of meteorological and environmental data, AI can provide precise models that optimize energy production forecasts.

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