SmartHelio physics experts release a paper on API Intelligence potential on PV plants
Find the link to the white paper at the end of this article.


The solar industry has been growing exponentially in recent years, with a threefold increase in capacity since 2015. However, despite this impressive growth, the industry is still facing significant challenges in terms of automation and data intelligence. These issues are preventing even faster growth and negatively impacting return on investment for solar companies. In this blog, we will delve deeper into these challenges, understand why they occur and most importantly explore how to adapt and overcome them by utilizing automation and data intelligence. Join us as we discover how to unlock the full potential of the solar industry!

API Intelligence application 

Leveraging API intelligence and analytics is a crucial step towards enabling predictive maintenance and optimizing performance within the solar industry. These technologies provide a wealth of information that can be used to predict and prevent potential issues, reducing downtime and increasing efficiency. With the ability to seamlessly integrate with any data source, such as CMS and SCADA systems, these technologies allow fast onboarding and immediate results from day one. Resulting on quick and efficient monitoring of systems and early detection of any potential issues.


SmartHelio applying API Intelligence in one of their clients PV plant

API intelligence and analytics also enable the prediction of interventions, helping to schedule maintenance and repairs in a more efficient manner. This means less unplanned downtime and increased uptime for solar systems. By utilizing these technologies, the solar industry can improve efficiency, reduce downtime, and increase overall performance. With fast onboarding and quick fault detection, the solar industry can see results from day one and continue to improve performance over time.


Case study

Our client in Italy faced significant losses due to late detection of a root-cause loss in their 5.2 MW solar system with 10 x 500kW inverters. The undetected issue led to component replacement, resulting in losses of EUR 7’177 in less than 3 months. This includes ground fault and inverter replacement losses. Real-time analytics can prevent such significant losses by identifying and addressing issues promptly.

Permanent damages in solar systems could have meant severe consequences, such as the shutdown of inverter A caused by undetected ground faults in April 2022. These faults can cause fire hazards, negatively impact power tracking and even require full inverter replacement.


A need to think ahead

As we started growing an so the portfolio of our clients, we realized that the amount of loses was actually colossal. The concerns of our clients and the challenges faced by the solar industry in terms of automation and data intelligence have been a driving force in the development of our innovative solution. This product has been specifically designed to address these concerns and provide a means to overcome them, allowing for even greater growth and enhanced return on investment for solar companies.

Read the paper