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Artificial Intelligence is Shaping the Solar Energy Field

The global market for solar power is expected to be worth $194.75 billion by 2027. As demand for solar energy solutions rises, solar product manufacturers are under more pressure to create higher quality products. They have recently begun exploring the benefits of using AI to improve the value of the services that they provide.

A number of European countries have begun investing in new solar energy technology. This shows tremendous promise for the future of the environment.

Sariegos has been the site chosen to test a solar energy project with artificial intelligence. Four countries have invested in this initiative called Flexunity, which boosts energy through blockchain and artificial intelligence.

Portugal, Finland, the United Kingdom and Spain are the four countries that have put work, enthusiasm and money into the Flexunity project. This initiative boosts energy through blockchain and artificial intelligence and is financed by the European Union’s Horizon 2020 research and innovation program.

In the coming days, 26 solar panels of 10 kilowatts will be installed at the Sariegos City Hall. The initial forecast is that these panels will generate 14,977 kilowatts of power per year, which will produce 55% self-sufficiency and avoid the emission of 5,766 kilograms of carbon dioxide into the atmosphere.

The facility will be in operation for at least four years. During this time, it will be monitored to define the parameters that will make it possible to extrapolate the results to future sites and community programs. In addition, a charging point for electric vehicles will also be built.

In return, the energy produced by the photovoltaic panels will be provided to Sariegos Town Council free of charge during the duration of the project, and once the 49-month research period is over, the municipality will become the owner of the complete solar installation.

At the end of the project, the Leonese consistory will have access to the results on energy consumption with a monitoring that provides and analyzes data in real time to accommodate habits and optimize spending to the maximum.

Solar energy with artificial intelligence to reduce CO2 emissions
In addition to energy savings, the system to be tested in the Sariegos town hall will reduce atmospheric pollution by avoiding the emission of almost 5,800 kilos of carbon dioxide.

The choice of the town of León as the site for this project of solar panels with artificial intelligence is based on the solar maps of the Institute for Energy Diversification and Saving (IDAE), which show that the province of León enjoys an annual average of 2,734 hours of sunshine, within a relatively benign climate despite the huge fluctuations in temperature from winter to summer.

Comparatively, the difference with respect to the autonomous regions of the Mediterranean is minimal, although the radiation there is much more powerful.

For thermal collectors it is the number of hours of sunshine, not the total energy, the most significant parameter in a technical feasibility study, regardless of geography or isobars. In Spain as a whole, the “shadow zones” are limited to Asturias, Euskadi, Rioja, Navarra, Burgos and Galicia, a strip that barely represents one-sixth of the national territory.

Filed Under: Communications

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