Smart Wind Software

1098 Turbines
150 Thousand of PV Panels
Centralized Managed

A large state renewable energy company in China with huge number of wind power and solar stations needed centralized control and monitoring of assets at corporate level.

Control Center

EnOS™ renewable energy software integrates the core assets, covering 13 renewable stations in Inner Mongolia, into one platform, eliminating information silos while achieving a timely response to grid demand.

Value Creation

Significant savings in O&M cost :
Less time spent in standard inspections and repairs: Predictive maintenance based on data analysis and machine learning technology 

EnOS™ renewable energy software solutions 
bring transparency, predictive maintenance, less intervention, and better grid integration to renewable energy power stations

To address the industry’s most serious challenges, Envision Energy has built an innovative portfolio of renewable energy software solutions. This could not be possible without its EnOS, the world’s No.1 energy IoT platform, and its decade long experience in wind and solar power fields. Today’s wind farms are evolving towards smarter ones: they are transparent, grid-friendly, predictively maintained, and less attended. And we have everything their operators need during this process: facility data acquisition, fleet monitoring, production loss analysis, machine-learning based asset health evaluation, power output prediction, AGC/AVC control, and more.

Accurate analysis of production loss and customizable reporting

Increasing power generation revenue by 3%

Centralized control of wind & PV assets, direct connection, and fewer staff on duty

Operation cost reduction up to $6/kW per year

Machine learning enabling predictive maintenance

Increasing power generation revenue by 3%

High-accuracy power forecast and AGC/AVC control helping build grid-friendly renewable energy power stations

Increasing power generation revenue by 2%

Compelling Values

Operation cost reduction up to $6/kW per year

Fewer local operating staff
Reduced cost in major component replacements 

Improved management practices

Production revenue up by 8%

Staff and IoT facility performance improvement driven by accurate production loss analysis 
Reduced unscheduled shutdowns and performance losses
Less penalties from grid

Smart Wind Farm Solution

Greenwich™

With precision, efficiency and cost reduction as fundamentals, Greenwich, the wind farm design product is designed to manage wind power investment risk and maximize capital appreciation. Based on big data and equipped with advanced algorithms and cloud computing information technology, Greenwich has integrated design capabilities for wind resource assessment, wind turbine layout and site selection, wind turbine foundation design, road and hardstand optimization, transmission line optimization, budget estimate and economic evaluation for the planning, design, construction and production stages of centralized and distributed wind farm.

Features

  • Renewable energy public database and LCOE map

  • Macro-planning and siting

  • Asset management and data application of wind resource measurement

  • CFD simulation based on supercomputer models

  • Micro-siting optimization and AEP assessment

  • Optimizes micro-siting and assesses AEP

  • Access planning design

  • Substation siting and design optimization

  • Tower foundation integrated design

  • Road design

  • Budget estimate and economic evaluation

  • Hoisting hardstand design

  • Risk and uncertainty analysis 

EnOS™ Wind Based on 
EnOS™ Intelligent IoT Operating System

EnOS™ Wind is an operating system for wind farms. Based on the intelligent IoT operating system and its applications, the customers can transfer the traditional wind farms into the smart wind farms with the following features: unmanned wind farm with remote supervision and regional maintenance; transparent wind farm with EBA and production loss analysis; grid friendly wind farm with accurate power forecast and controls based on wind CFD model; wind farm based on prognostic health management, increasing production by 10% and reducing O&M costs by 20%.

Features

  • USCADA: direct device connection and wind farm local monitoring

  • Forecast Wind: wind power and generation forecast

  • Enlight Wind: wind farm performance analysis and power efficiency rate

  • Ensight Wind: turbine anomaly prediction and underperformance analysis

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