Development of an AI-optimized and optical sun follower tower for enhanced solar energy generation
Godkjenningen dokumenterer en skattefradragsordning, men kilden publiserer ikke faktisk skattefradrag per prosjekt.
Prosjektopplysninger
- Prosjektperiode
- Instrument
- Skatte-/avgiftsfordel
- Støttegiver
- SkatteFUNN / Norges forskningsråd
- Vedtaksdato
- Program/aktivitet
- SkatteFUNN
- Prosjekttype
- SkatteFUNN-prosjekt
- Kommune
- Indre Østfold
- Fylke
- Østfold
Offentlig prosjektsammendrag
In this R&D project, we at P3 Elektro are delving into the realm of solar energy with a mission to make it even more efficient and reliable. We're harnessing the power of artificial intelligence (AI), coupled with advanced sensors and optical technologies, to develop smart solar solutions that adapt seamlessly to changing environmental conditions. Picture this: solar panels that autonomously adjust their angles to capture maximum sunlight throughout the day, regardless of weather fluctuations. This means more energy from the sun and less reliance on fossil fuels. But that's not all. We're also exploring how AI can be leveraged to predict maintenance needs in solar installations. By analyzing data from sensors embedded in the panels, we aim to foresee potential issues before they arise, thus extending the lifespan of solar systems and saving money in the long run. This project isn't just about improving solar energy technology; it's about making a positive impact on the environment. By increasing the efficiency and uptake of renewable energy sources like solar power, we're contributing to the reduction of carbon emissions and paving the way towards a greener, more sustainable future for everyone. So, by embarking on this journey, we're not only innovating; we're also helping to shape a better world for generations to come.
Kilde og proveniens
SkatteFUNN publiserer prosjektidentitet, periode, eier og godkjenningsstatus uten prosjektbeløp.
Åpne prosjektet i ProsjektbankenMottaker kobles med organisasjonsnummer. Program og prosjektidentitet forblir kildeavgrenset.
Ikke publisert er en egen tilstand og betyr verken null eller ukjent utbetaling.