TrinaTracker Showcases AI-Driven Innovations that Elevate Utility-Scale Solar Plant Operations
TrinaTracker, a business unit of Trinasolar, recently participated in a webinar titled “Smart Trackers, Smarter O&M: AI’s Role in Solar Plant Operations”. The session examined how the integration of smart tracking systems and artificial intelligence is enhancing the operational performance and reliability of utility-scale solar plants.

The webinar underscored TrinaTracker’s ability to help operators enhance energy generation and improve revenue outcomes, particularly in markets with real-time electricity pricing. Speakers also highlighted several persistent operation and maintenance challenges in large-scale PV projects — including motor overcurrent, communication failures, battery degradation, and installation deviations — which often require extensive on-site inspections and may remain undetected until they result in generation losses or component damage.
Dr. Sun Kai, Head of R&D Smart Control System at TrinaTracker, introduced TrinaTracker's upgraded AI-driven tracker level smart cloud with pre-diagnosis function. This upgrade turns solar plants operation and maintenance from passive emergency repair to active pre-warning, to reduce maintenance cost, and energy loss due to failure of system. Sun Kai also shared clients' feedback that the solar plant inspections typically required 2-3 people conducting visual checks twice a day, and 2-3 days to locate the faulty trackers if there were no obvious angle deviations. Once equipped with the new AI-driven Smart Cloud, it can identify potential problems in advance and minimize losses with diagnostic functions.
During the webinar, TrinaTracker presented the enhanced SuperTrack technology as a core enabler of performance improvement especially in markets with real-time pricing mechanisms. Verified through multi-scenario projects analysis, the new SuperTrack technology using six optimizing strategies, can significantly increase solar power output especially during morning and evening when real-time electricity price is high, thus helping project owners to increase their return of investment.
Sun Kai emphasized the broader significance of these advancements: “By combining AI-driven diagnostics with more sophisticated tracking strategies, we are establishing a new operational standard for solar plants—one characterized by greater precision, faster decision-making, and consistently higher performance.”
These innovations were reinforced by insights from TrinaTracker’s internal expert and external collaborator. Gonzalo Baselga, Head of Tracker Business EU at TrinaTracker, highlighted the company’s comprehensive support model, extending from plant commissioning to ongoing operations through its extensive local service network. Meanwhile, Manuel Llenas Arbo, Regional Manager Europe at GreenPowerMonitor, explained how AI-based monitoring and analysis further enhance operational visibility and enable more effective plant-level decision-making.
By integrating intelligent products, localized service capabilities, and advanced analytical tools, the webinar offered a comprehensive view of how AI-enabled smart tracker technologies are reshaping operation and maintenance practices in utility-scale solar plants.
With these developments, TrinaTracker reaffirms its commitment to delivering high-performance, reliable, and intelligent solutions that enable solar plant operators to optimize both energy production and financial returns.