Guangdong, China
SIDRI completes landmark 1,000 megawatt offshore wind farm
Bentley MicroStation, SACs, and OpenBuildings save CNY 20 million in construction costs
About our customer
Shanghai Investigation, Design & Research Institute
Shanghai Investigation, Design & Research Institute (SIDRI), a global leader in clean energy projects, overcame engineering challenges to complete the 1,000-megawatt Three Gorges Yangjiang Qingzhou Phase VI Offshore Wind Farm. The CNY 10 billion project delivers more than 3.6 billion kilowatt-hours of renewable electricity annually, reducing greenhouse gas emissions by nearly 3 million tons. Bentley digital solutions supported a pioneering lifecycle digital management model, integrating design, construction, operation, and maintenance to set a new standard for intelligent offshore wind development.
Key Takeaways
25% faster design
CNY 20 million in savings
2-month reduction in construction time
15% annual operations and maintenance cost reduction
Pioneering full-lifecycle digitalization
To solve the challenges of large-scale offshore wind development, SIDRI utilized Bentley’s MicroStation, SACS, OpenBuildings Designer, and ProjectWise. These platforms enabled seamless data integration, multidiscipline collaboration, and intelligent design workflows. During construction and operation, advanced BIM modeling and the iTwin Platform supported 4D simulation and real-time structural health monitoring, driving efficiency and proactive safety management.
Solutions
Digital solutions for streamlined workflows, time savings
3D modeling with MicroStation increased design efficiency by 25%, with digital design and BIM optimization saving over CNY 20 million in construction costs.
Process optimization for faster installation
Digital workflows and BIM-based construction simulation optimized installation sequences, shortening construction by nearly two months and improving coordination across 3,000 personnel and 100 vessels.
Digital twin for long-term savings
Real-time, digital twin–based structural health monitoring and AI-driven analysis reduced annual operations and maintenance costs by 15% and lowered structural safety assessment costs by nearly 30%.
