Case Study

Digital Twin P.O.C for Hydro Power Plant

Deep in the lush landscapes of Sarawak, Malaysia, a transformative project was set in motion—a digital twin proof of concept for a hydro power plant. The goal was ambitious: to create an LOD500 BIM model that would not only mirror the physical plant but also integrate engineering data, operational data, and other critical information into a unified digital twin platform, Bentley PlantSight.

The team faced a monumental task. How could they capture the essence of an entire hydro power plant, from its massive turbines to its intricate control systems, in a digital format? The project demanded not just technical prowess but also a deep understanding of the plant’s operations and data flows.

To tackle this challenge, a specialized team of three BIM modelers and one BIM coordinator collaborated with Bentley PlantSight and BECS system integration teams. They employed a suite of powerful tools, including MicroStation, Bentley ContextCapture, OpenBuildings Designer, OpenPlant PID, OpenPlant Modeler, ProjectWise, and BECS integration. Over the course of eight months, this team meticulously gathered and integrated data, creating a digital twin that was as complex and dynamic as the plant itself.

The result was nothing short of revolutionary. The digital twin provided an unprecedented view of the plant’s operations, allowing for remote monitoring and real-time data integration. This model became a powerful tool for optimizing plant performance, predicting maintenance needs, and ensuring safety. The project demonstrated the immense potential of digital twin technology in the energy sector, setting a new standard for hydro power plants.

This proof of concept was more than a demonstration; it was a glimpse into the future of energy management. The digital twin laid the groundwork for a new era of data-driven decision-making, where plant operations could be fine-tuned and optimized in real-time. The project opened up possibilities for future expansions, including integrating renewable energy sources and advanced analytics.