Each plant is unique, with installation, operational history, location, and weather variances. This means statistical models cannot predict, how a particular plant will behave under varying operating conditions. Digital Twins at the core of our Asset Management, solve this problem.
Digital Twins are detailed, personalized, digital replicas of your plant which give a more exact, tailored understanding of plant behavior.
By creating highly accurate models, to predict the behavior of each inverter, SCB, and panel strings – and adding them up (bottom-up approach) – we are able to calculate precise yield capabilities, in exact field conditions. Our Digital Twin Models use RealTime and historical data to analyze and monitor the past, present, and ultimately simulate, ideal future performance much more accurately. This time-travelling characteristic allows us to see signs and signals early and address them proactively with Automated, Revenue Prioritized tickets.
The Quadrical team has been building Digital Twin Models for ~ 3 years - making them, by far, the most advanced in solar. Founders Sharat Singh and Dr. Hugh Hind with expertise in the field of Anomaly Detection and Prediction Artificial Intelligence (AI) go beyond simple models with multiple, hierarchical, purpose specific Digital Twins. These go broader and deeper in isolating and identifying errors, anomalies, and provide more accurate performance predictions. Stacked together, these Digital Twins improve Generation by 2 - 4%, irrespective of plant size, and reduce O&M costs by 15%. This means >7X ROI for you. Built-in Digital Twin Technology for unbiased assessment of plant performance, and directly actionable recommendations with automated, revenue quantified tickets.