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Thursday, 12 September 2024 Swiss-based solar software developer SmartHelio is launching a new AI-powered suite that can achieve up to 98.5 percent accuracy in GHI/wind resources forecasting and 95 percent in failure prediction, de-risking solar investments for both future photovoltaic (PV) plants and brownfield acquisitions.
Courtesy of SmartHelio.
The suite includes SmartHelio’s predictive Autopilot solution, which delivers predictive analytics capabilities, and the Climate Risk Assessment (CRA) tool, which utilises meteorological data and climatic events to help investors and solar plant owners make informed investment decisions. The company will unveil its AI-powered Suite at RE+ 2024, taking place September 9-12 in Anaheim, California.
“The management of PV plants is fraught with inefficiencies, primarily due to fragmented data and outdated reporting methods that delay decision-making and expose investors to significant financial risks” said Govinda Upadhyay, CEO of SmartHelio. “Addressing these challenges is crucial for improving performance and profitability in the industry. Many tools offer market performance enhancements, but plants using SmartHelio’s AI-powered solution have seen as much as a sixfold return on investment.”
The Climate Risk Assessment (CRA) CRA integrates socio-economic data such as urbanisation trends (deforestation, aerosol concentration) and other microclimatic factors. It forecasts solar irradiance and wind speed for a given solar farm by processing over 100 variables, including historical and real-time weather data and forecasts, local environmental factors like proximity to a lake, ocean, desert, or mountain, global climatic indices like El Nino/La Nina, dipoles, or air, land, and ocean temperature increases, and human factors like pollution and urbanisation for a particular area.
The Autopilot platform provides recommendations for future development and for operating the plants at the highest capacity with the lowest costs, enabling operators and owners to prevent downtime and reduce costs of operations/replacement by 80 percent.
Customers using SmartHelio’s AI-powered Suite, which combines Autopilot and the CRA tool, will be able to see not only how climate change will impact the future performance of their PV plants but also how they can take future evolutions into account in current decisions. The solution includes a sophisticated component selection feature, allowing operators flexibility in choosing their solutions to ensure the most effective components are used for solar installations, ensuring compatibility, safety, and cost-efficiency. By optimising resource allocation, SmartHelio’s solution is designed to help operators reduce costs and improve overall system performance without relying on a single solution or provider.
Using the AI-powered Suite allows customers to lower costs, increase efficiency, and increase revenue in their solar operations to overcome inefficiencies, improve decision-making, and ensure investors avoid financial risks. By optimising resource allocation, the solution helps operators reduce costs and improve overall system performance without relying on a single solution or provider. In addition, it uses time-series data (current and voltage), even in an unstandardised format, to feed its physics-based algorithms and predict failures such as inverter downtime and tracker dysfunction.
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