Fracsun's new solution combines ground-level measurements and
weather data to model a typical year of soiling loss for any
location in the US.
SAN LUIS OBISPO, Calif.,
July 12,
2024 /PRNewswire/ -- Fracsun, a leading provider of
solar soiling loss monitoring solutions, today announced the launch
of its groundbreaking AI-powered soiling loss modeling tool (CLEO
AI). This advanced solution enables the entire solar development
sector to fine-tune their production models and improve energy
yield assumptions.
Developed by Fracsun's team of industry experts, the new model
integrates precise local ground-based soiling loss measurements,
detailed weather data, and machine learning algorithms to deliver
accurate, localized simulated annual soiling losses. Unlike static,
generalized approaches, this dynamic model accounts for evolving
factors such as fine particulate matter (PM2.5 and PM10)
concentrations, nitrate and sulfate levels, seasonal trends, and
the impacts of wind and precipitation.
"Our goal is to empower solar production modelers with the tools
they need to continuously improve performance modeling and maximize
returns," said Catlin Mattheis, CEO
of Fracsun. "By generating a Typical Meteorological Year (TMY) for
daily soiling loss data, our model provides granular, site-specific
simulations of soiling losses, enabling users to refine their
production models and plan future maintenance schedules
accordingly."
Fracsun's solution builds upon its extensive network of soiling
monitoring stations, deployed across 27 countries and representing
over 12 GW of installed solar capacity. Through machine learning,
the model continuously learns from this growing dataset,
incorporating new parameters like module tilt and weather forecasts
to deliver increasingly precise results.
"Soiling is a dynamic, site-specific challenge that can
significantly impact solar asset performance over time," Mattheis
continued. "With the CLEO AI-powered model, our customers can now
proactively manage this issue, optimizing maintenance plans and
production forecasts to maximize their return on investment."
Fracsun has developed the industry's most accurate and reliable
soiling loss monitoring station, along with the software needed to
support it. This portal allows users to monitor solar assets for
soiling loss and drive operational efficiency through actionable
data and forecasting. Through years of experience collecting and
analyzing soiling loss data, the team is now focused on utilizing
this dataset to aid project development teams and banks in
de-risking solar projects at the earliest stages of conception.
If you are interested in being part of Fracsun's Beta test group
for their new CLEO AI Soiling Loss Model, you will receive the
following benefits:
Early Access: Be among the first to explore and utilize our
advanced simulation tool, allowing you to gain valuable insights
into the impact of soiling loss on solar energy production in your
specific location.
Run Simulations: During the early access period, you will be
able to conduct up to 5 simulations to analyze the effects of
soiling on your solar energy system.
Provide Feedback: Your participation in the beta test will
enable you to share your valuable feedback and insights, which will
directly contribute to the enhancement and improvement of the
FracsunAI Soiling Loss Engine.
https://www.fracsun.com/cleo-early-access.
For more information, please visit the Fracsun website
at www.fracsun.com.
Media Contact:
info@fracsun.com
View original content to download
multimedia:https://www.prnewswire.com/news-releases/fracsun-unveils-advanced-ai-powered-soiling-loss-simulation-model--cleo-ai-302195418.html
SOURCE Fracsun