According to PV Magazine, March 2022 saw an abnormal phenomenon affecting solar energy output across Europe. Spain, typically a leader in solar energy production, experienced a significant 50% decrease in monthly solar irradiance compared to historical averages. In contrast, Germany and the Balkans experienced a 45% increase in solar irradiance compared to the past 28 years.
This stark contrast highlights the unpredictable nature of solar flux and its impact on energy production. This extreme deviation in solar irradiance suggests that relying on historical monthly average datasets to assess PV system performance may not be as reliable as previously thought. With such variability, the accuracy of performance assessments based solely on historical data is questionable. This unpredictability underscores the need for more dynamic and real-time data integration to ensure precise performance evaluations and optimize the efficiency of solar PV systems.
As the technology behind solar panels continues to advance, financial models and performance assessment methods must also evolve to become more resilient and accurate. Incorporating real-time weather data and advanced analytics will help mitigate the risks associated with unpredictable solar flux. By adapting to these changes, the solar industry can better predict and manage the performance of PV systems, ensuring more consistent and reliable energy production.
How can you better assess solar PV performance to ensure a more efficient energy production, and therefore higher yields and financial feasibility of projects? What methods and technologies for performance analytics are relevant to decentralized PV?
Tune in to the Solar PV performance and its Financial Implications workshop, held on July 28th 2022 to learn more.
Energy solution providers - interested in Sensorless technology to measure PV performance? Fill-in the demo request form to get more details.
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