Case Study: Expert Consultancy Company reduces digital twin tuning time by 20% with Visplore

How an expert consultancy built physically plausible digital twins for power plants more effectively

An expert consultancy company faced the challenge of building accurate digital twins for power plants, which required preparing and validating massive amounts of sensor data against physical conditions. Their purely data-driven models were prone to failure, so they needed to find representative and "clean" historical data to tune a new physically-based model. They turned to Visplore to address this problem.

Using Visplore's interactive cockpits, the engineers efficiently explored, visualized, and cleaned their data to identify plausible operating points and exclude outliers. This solution reduced the time required to tune their digital twins by 20%. Furthermore, the company saved approximately $10,000 per project in data preparation and model adjustment costs, while also gaining the ability to maintain more accurate and frequently updated simulations.