In this webinar, Terabase Energy’s Development Technology team presents the new features and subscription plans coming to PlantPredict effective January 1, 2023. Upcoming changes include the introduction of Pro and Enterprise tiers, the integration of the Terabase Development Platform into PlantPredict and brand new string-sizing tool Voltage Pro.
Watch the full webinar below, or on YouTube.
In this webinar hosted by Clean Power Research, we demonstrate how to use SolarAnywhere‘s sub-hourly data in Terabase Energy’s PlantPredict solar modeling software.
View this fifty-minute webinar to learn about:
On March 29, 2022, Terabase hosted a webinar showcasing the brand new integration between the Terabase Development Platform and PlantPredict (recently acquired by Terabase from First Solar).
Watch the full recording below or directly on YouTube.
Topics covered include:
BERKELEY, Calif. and TEMPE, Ariz., Aug. 25, 2021 /PRNewswire/ — Solar digital solutions startup Terabase Energy today announced that it has signed a definitive agreement to acquire PlantPredict, a predictive solar energy modeling tool, from First Solar, Inc. (NASDAQ: FSLR), a leading American solar technology company. The terms of the agreement were not disclosed.
PlantPredict is a sophisticated predictive solar energy modeling tool that was developed by First Solar for utility-scale PV applications. Easy to use, with advanced modeling options, PlantPredict reduces energy delivery uncertainty by generating rigorously field-verified energy predictions. PlantPredict has been used by thousands of users around the world over the past 10 years and has been validated by third-party independent engineering firms and peer-reviewed studies. The system has been used in the financing of many gigawatts (GW) of solar power plants, demonstrating the accuracy and bankability of its performance modeling.
Terabase is developing a digital, automation, and smart device ecosystem to drive down solar power prices below $0.01 per kWh by 2025. Its proprietary system is used by more than 400 engineering, procurement, and construction (EPC) firms, developers, and independent power producers in 28 countries.
“Adding an industry-leading, bankable, cloud-based performance tool like PlantPredict to our expanding suite of technical solutions makes strategic sense for Terabase,” said Matt Campbell, Terabase CEO. “The future of performance modeling is tighter integration with software-based design, cost estimating and financial modeling and it’s important for Terabase to have its own cloud-based performance modeling solution. PlantPredict is a perfect complement to other solutions we offer and have under development.”
The First Solar PlantPredict team will join Terabase following the closing of the transaction, which is expected to take place in October 2021. This is Terabase’s second acquisition of the year, following its deal to integrate operational technology provider REPlantSolutions earlier this year.
“As we maintain our focus on our advanced module technology, it was important for us to find the right company to integrate PlantPredict into a broader digital energy product portfolio while continuing to raise the bar for solar energy modeling,” said Nick Strevel, vice president, Product Development, First Solar. “PlantPredict users have long enjoyed rapid, highly accurate, and bankable predictions and, looking to the future, can expect to benefit from the platform’s integration into other Terabase offerings.”
About Terabase Energy
Terabase Energy is a digital solutions company whose products and services reduce costs and accelerate deployment in large scale solar. The company’s proprietary software is used by more than 400 engineering, procurement and construction firms, developers, and independent power producers in 28 countries. For more information, visit www.terabase.energy.
About First Solar, Inc.
First Solar is a leading American solar technology company and global provider of responsibly-produced eco-efficient solar modules advancing the fight against climate change. Developed at R&D labs in California and Ohio, the company’s advanced thin film photovoltaic (PV) modules represent the next generation of solar technologies, providing a competitive, high-performance, lower-carbon alternative to conventional crystalline silicon PV panels. From raw material sourcing and manufacturing through end-of-life module recycling, First Solar’s approach to technology embodies sustainability and a responsibility towards people and the planet. For more information, please visit www.firstsolar.com.
Here is a webinar from when we launched PlantPredict Premium. This is a great place to start if you want to learn about PlantPredict and the PlantPredict Premium product.
Link to the webinar: https://youtu.be/t1bB847MD-s
Energy predictions generated by PlantPredict were used as the basis for the performance guarantees for over 350 MW of utility-scale PV projects. These projects include the 40MWac Cuyama Solar Project, owned by an affiliate of D. E. Shaw Renewable Investments, L.L.C.; and the 150MW second phase of the California Flats solar power plant, owned by Capital Dynamics.
From the release: “A review of PlantPredict’s capabilities by independent engineering firm Leidos found that the application provided modeling accuracy equivalent to other energy prediction modeling tools currently used in the industry, such as PVSyst.”
This major step proves that PlantPredict is a fully bankable energy prediction platform.
View Full Press Release.
PlantPredict Version 5 was released yesterday and includes several new and exciting features! Most notable of the new features is batch processing capability, which allows users to run up to 350 predictions at once while varying DC/AC, azimuth, tilt angle or GCR between runs. We also released a publicly available international data source from NASA-SSE. Check out the release notes to see what else Version 5 has to offer.
Starting in Version 4.11, PlantPredict offers users the option to import plane-of-array irradiance (POAI) in weather files. This is a powerful tool for users who have measured or modeled POAI and wish to bypass the transposition model (and its associated error). On the backend, the algorithm uses the NREL developed GTI-DIRINT model to estimate diffuse and direct irradiance from POAI for shading calculations. Let us know what you think about this new feature by e-mailing support@plantpredict.com!
As part of the most recent PlantPredict release, users are able to model energy losses associated with sloped terrains! As part of this major feature release, we also added a 3-D DC Field visualization tool to aid users in seeing how their inputs affect the layout of the DC Field both with and without slopes. Check out this exciting new feature today!
PlantPredict users are now able to quickly generate an energy prediction by specifying an available land area and some basic information on a map. This is especially useful when you don’t have a layout available prior to starting an energy prediction and want to answer the question “about how much DC will fit in my land area?”. Check out the new mapping feature by navigating to the PowerPlant builder today!