We developed a custom predictive software for Innovia GEO Corp using computational fluid dynamics (CFD), sensor data, and machine learning.
This software enables our client to understand, customize, and optimize their novel geo-exchange technology for commercialization.
Feasibility Studies | Optimization | Parametric Design | Capacity Predictions
We developed a custom predictive software for Innovia GEO Corp using computational fluid dynamics (CFD), sensor data, and machine learning.
This software enables our client to understand, customize, and optimize their novel geo-exchange technology for commercialization.
Feasibility Studies | Optimization | Parametric Design | Capacity Predictions
GPPS generates capacity results in seconds compared to days or months of traditional modeling.
GPPS allows for easy comparison between designs with different locations and conditions.
GPPS is user-friendly, with customized schematics, detailed user manual, and automatic unit conversions.
With an automatic report generator built-in, GPPS communicates results in a professional, marketable and downloadable report.
Using cutting edge research and software, GPPS accurately predicts key performance variables for a wide range of conditions.
GPPS generates capacity results in seconds compared to days or months of traditional modeling.
GPPS allows for easy comparison between designs with different locations and conditions.
GPPS is user-friendly, with customized schematics, detailed user manual, and automatic unit conversions.
With an automatic report generator built-in, GPPS communicates results in a professional, marketable and downloadable report.
Using cutting edge research and software, GPPS accurately predicts key performance variables for a wide range of conditions.
This software enables researchers, designers, and users in a wide range of fields to gain key information about the ground, with much greater accuracy than any other current method.
Environmental Systems | Geothermal Energy | Agriculture | Construction & Civil Engineering | & More
This app predicts thermal conductivity of the soil with greater accuracy than any existing model. As well, it easily integrates with other predictors for key ground properties – making SoK the easiest way to find thermal conductivity.
Environmental Systems | Geothermal Energy | Agriculture | Construction & Civil Engineering | & More
Using machine learning, we developed a custom predictive software for the temperature below ground.
This software enables researchers, designers, and users in a wide range of fields to gain key information about the ground that is not available with much great accuracy through any other current method.
Environmental Systems | Geothermal Energy | Agriculture | Construction & Civil Engineering | & More
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This app predicts thermal conductivity of the soil with greater accuracy than any existing model. As well, it easily integrates with other predictors for key ground properties – making SoK the easiest way to find thermal conductivity.
Environmental Systems | Geothermal Energy | Agriculture | Construction & Civil Engineering | & More
