Clean energy is all about kWh. Overtime more people invest in renewable energy because they trust in a future where they self-produce the electricity. A customer buys the promise of future kWh. We’ll review the results of two decades module lifespan. So in order to shed some lights on this topic, we’ll discuss the analysis of several modules installed almost ten years ago.
Customer satisfaction of their panels are explained by two factors; maintaining their physical integrity thus shouldn’t fail due to one of their components and producing the maximum of kWh when their panels are in tact. Various independent studies tackled the question of solar modules degradation end up with an average of -0.8% per year. With an average of -3.5% after 9 years, the degradation of the 16 modules tested would translate into an annual degradation of less than -0.4%. Overall the results are consistent with the feedback from customers and low claim rate in order to deliver a high level of product quality.
The most important factor for panels to work properly is not having internal defect . This is a very important point to underline and have an international certification like the IEC 61215. It ensures modules aren’t subject to infant mortality (4 to 5 years). So for the remaining 20 years, it’s about commitment of the manufacturer towards quality. There’s a cost pressure and a complexity in the supply chain of parts and OEM modules that the quality suffers. It’s proof that the price isn’t the sole in the PV industry for durable and reliable solar panels.
The degradation of solar panels encourages PV professional to share key messages; Simulation doesn’t override reality when simulating PV plants performances. Real world data displays the need for an investor to choose the right module. Datasheets doesn’t predict yields, thats indicative and static information. But real life is dynamic and what matters most is how solar modules are designed. Assessing differences simulated sometimes doesn’t consider risks factors.
Purchasing values and striving for excellence
Despite the pressure on prices, customers typically stick to their purchasing values and culture of excellence. Real world data displays that the pressing need to choose the right module. Choose one that’ll last and that other considerations come afterwards. Datasheets do not predict yields. They’re only indicative and static information. Real life is dynamic and it’s vital to choose modules based on design. It’s vital to depend on an established track record and consistency of your supplier to decrease of blindness and risk.
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