Case Study: Intelligent Renewables (Smart Wind)

SPIC Shanghai Power Generates RMB 1.45M Savings

How did a top Chinese energy company maximize clean power while reducing manpower needs?
With an intelligent AIoT platform that optimizes >330 wind turbines and >15K PV equipment.

SPIC Shanghai Power radically improves performance and cuts costs.

  • >330

    wind turbines

  • >15K

    PV equipment connected

  • 8%

    cut in power loss

  • >RMB 1.45M

    saved

  • 14 days

    cut in unplanned
    shutdowns

  • 200,000 kW

    capacity generated thru
    predictive maintenance

  • 50 hours

    increase in annual energy
    production

  • RMB 0.01/kWh

    lower levelized cost
    of energy

About SPIC.

State Power Investment Corporation (SPIC) is one of China’s top five power generators, and a Fortune Global 500 company, with total assets of RMB 1.18T (USD 182B) and 130,000 employees. Its annual electricity installed capacity totals 151M kW (2019), with >50% from clean energy sources. As a major energy company, SPIC Shanghai Power is committed to supporting the transition to a renewable energy economy.

SPIC Shanghai Power’s Challenge.

The company wanted to enhance its wind and solar generation capacity. But it faced manpower issues coordinating data across farm stations due to siloed management of wind farms and solar assets.

 

SPIC Shanghai Power also faced increasing complexity due to expanding asset size. It knew it needed to integrate all assets and  reduce manpower requirements. To do so, it partnered Envision Digital to enhance asset management and operational efficiency. By connecting SPIC Shanghai Power’s assets and data on the intelligent EnOS™ AIoT platform, the company now gets real-time insights to optimize its clean energy assets.

What SPIC Shanghai Power Achieved.
Envision Digital helped SPIC Shanghai Power fast-track clean energy goals.

Boost asset productivity and cut costs with real-time insights.

Envision Digital’s EnOS™ AIoT platform and applications connected a vast number of assets to provide real-time insights. This included 5 wind farms, 339 wind turbines, 22 photovoltaic (PV) power stations and >15,000 PV equipment. With wind current modelling, forecasting, and predictive maintenance, SPIC Shanghai Power can optimize energy production and reduce operational costs.

Improve power generation with high-accuracy forecasts.

With Forecaster, a proprietary solution that harnesses supercomputers to integrate meteorological data for high-precision, farm-level power forecasts, SPIC Shanghai Power can maximize renewable energy production with confidence.


Radically enhance performance while reducing manpower needs – with centralized monitoring & preventive actions.

With centralized monitoring, preventive maintenance, and mobile troubleshooting, SPIC Shanghai Power is reducing manual intervention and production loss – improving energy production efficiency and availability. Capabilities that power these outcomes include real-time diagnostics for rapid problem identification. Plus, advanced analytics, integrated monitoring, and KPI analysis – which detect underperformance, diagnose causes, and recommend corrective actions.