Client background
Founded in 2008, WindPower Energy was one of the early entrants in China's wind power sector, operating 800MW installed capacity. However, most wind farms were built early with severe equipment aging, leading to continuous decline in power generation efficiency and economic benefits.
Challenge
The core problems faced by the company included: low efficiency of aging wind turbines, high failure rates, continuously rising O&M costs, lack of effective predictive maintenance systems, low digitalization leading to poor management efficiency, and cost pressure from grid parity requirements.
Solution
Comprehensive wind farm status assessment
Technical upgrade solution design
Digital O&M system construction
Economic benefit analysis and optimization
Implementation process
Status Assessment
3 months- Wind turbine equipment condition testing
- Power generation data deep analysis
- O&M cost structure analysis
- Technical upgrade feasibility study
- Investment return calculation model establishment
Solution Design
3 months- Wind turbine upgrade plan development
- Digital monitoring platform design
- Predictive maintenance system construction
- Phased implementation planning
- Supplier selection and negotiation support
Implementation
6 months- Key wind turbine technical upgrades
- Smart monitoring system deployment
- O&M team training
- Data analysis platform construction
- Effect monitoring and optimization adjustment
Outcomes
Technical Performance Improvement
Significantly improved wind farm operational efficiency through technical upgrades and digital transformation
Annual Power Generation
180 GWh → 221 GWh
+23%
Equipment Availability
89% → 96%
+8%
Average Fault Handling Time
8 hours → 3.5 hours
+56%
Economic Benefits
Significantly reduced operational costs and improved ROI
Annual O&M Costs
$4.2M → $2.7M
+35%
Unit Generation Cost
$0.057/kWh → $0.043/kWh
+24%
Investment Payback Period
N/A → 3.2 years
+Fast Recovery
“The digital transformation completely revolutionized our O&M model. We can now predict equipment failures in advance, operational efficiency has improved dramatically, giving our aging wind farms new life.”
David Wang
CTO, WindPower Energy