Renewable Energy The value of Wind Energy Imagination at at work. 2015 General Electric Company Mark Rush Technical Director (mark.rush@ge.com) GE Renewable Energy Sales
Evolution of GE wind products Units Model introduction 1.5i (65m) 1.5s (70.5m) 1,000 th 2.5s (88m) 1.5sle (77m) 5,000 th 10,000 th 2.5xl (100m) 1.5xle (82.5m) 2.75-100 2.75-103 1.6-82.5 1.6-100 20,000 th 1.85-82.5 1.85-87 1.7-100 2.5-120 2.85-103 1.7-103 2.75-120 3.2-103 2.3-107 2.0-116 96 02 03 04 05 06 08 09 10 11 12 13 14+ enters wind industry 1.5s 1.5sle 1.6-82.5 2x in capacity factor 2x customer revenue/turbine * 1.6-100 2.5-120 2 *Since 2002 2015 General Electric Company
MW Constraints Land GE s diversified wind product portfolio 2.75-120 3.2-103 2.0-116 1.85-82.5 2.3-107 1.7-103 1.85-87 1.85-82.5 Low Wind speed High Enhancing plant economics for a broad range of site 2015 conditions General Electric Company
Evolution of the wind industry Over a decade of progress Next decade 2002 $5B /year 85% availability Growing Reliable 2014 $70B /year 98% availability? How do we continue to lower cost of wind 25%+ cap. factor 0.4% of all power 15 cent power Efficient Mainstream Low cost 50%+ cap. factor 3.5% of all power <5 cent power? What do you do when the wind doesn t blow? 2015 General Electric Company
WindSCADA * system Visibility into your wind plant s performance Turbine output heat map Detailed turbine stats Customized data analytics Real time operational visibility Web-based interface Plant & turbine level displays Manage & improve turbine operations Control turbines remotely Share data beyond the site Analyze & enhance plant performance Identify performance variations Advanced analysis & reporting Enabling you to get more out of your wind plant 2015 General Electric Company *Trademark of General Electric Company
Wind is a good citizen of the grid Wind keeps the lights on Isn t today! wind intermittent? 122% - Denmark 93% - Portugal 61% - Germany (w/ solar) 61% - Xcel (CO) 45% - Ireland 36% - ERCOT (TX) 34% - BPA (OR/WA) 33% - SPP (NE/KS/OK) 25% - MISO (Midwest) & more! *Instantaneous penetration. Sources: AWEA, America s Power Plan Isn t wind intermittent? Wind is predictable as predictable as flipping a light switch Don t wind speeds change? Change is normal as normal as air conditioners turning on or generators tripping off What if winds don t blow when needed? Siting affects timing high-capacity-factor turbines & good siting enables wind generation when needed 6 2013 2015 General Electric Company.
GE enables wind power plant capabilities Turbine-level Mark*VIe controls 125GW+ plants controlled wind, gas, nuclear, aero Plant-level WindCONTROL * software 50+ patents 250GW+ grid studies Forecasting commit power in advance WindSCADA * system total possible power short term predictable power Power controls dispatch power to grid segmented curtailment ramp rate limiter inertial response governor response frequency regulation WindReserve * Voltage controls regulate line voltage Volt/Var/Pf control fixed capacitor/reactor bank control voltage droop compensation line drop compensation multi-plant control Wind-free * Var Ride-thru stabilize during disruptions zero / low / high voltage ride-thru Plant Operator Full plant control Grid Operator Dispatch setpoints GE technology based on proven grid integration expertise 2014 General Electric Company Can be enhanced w/ integrated energy storage *Trademark of General Electric Company
Power (kw) Frequency of occurrence (%) Producing predictable power from wind Predictability demo results 225 Wind power (kw) Net turbine power (kw) Forecast (kw) Predictability on 100MW wind plant With battery Without battery 175 125 75 25 0 5 10 15 20 25 30-6 Deviation from forecast (MW) 6 Time (min) 2015 General Electric Company
Power Power Power GE Wind making + energy your storage wind plant applications economically competitive for the long-term Without app Wake management Tune turbines across the plant to enhance AEP by offsetting wake effects Time Time Wind turbine output Frequency signal Normal output With app Noise management Adjust output across plant to meet noise requirements with limited AEP impact Cooperative controls Predictable Power (Firming) Sharing Accurately hardware/sensors predicting output across for the 15-30 plant minute to lower intervals downtime (eg. anemometer) Reduce balancing costs Frequency Regulation Adjusting output to match grid signal helps grid balance supply/demand Revenue opportunity providing ancillary service Lost revenue/non-compliance Grid guidelines Wind turbine output Ramp Rate Control Adjust output to match grid ramp rate guidelines Recover lost AEP Time 2015 General Electric Company Comparative statements refer to GE technology
Smarter machines with advanced turbine controls Past Present Future Model Based Controls Nacelle & tower sensors Feels event, responds Extreme Event Response Virtual sensors Smart shut down Feed Forward Blade sensors & LIDAR Sees what s coming, proactively responds Title or Job Number XX Month 201X 2015 General Electric Company
GE s brilliant technology Utilizing the power of the Industrial Internet - driving higher output, improving services and creating new revenue streams Energy storage Making predictable power a reality Cooperative controls Sharing hardware/sensors across the plant to lower downtime (e.g. anemometer) Noise management Adjust output across plant to meet noise requirements with limited AEP impact Wake management Tune turbines across the plant to increase AEP by reducing wake effects 2015 General Electric Company
GE integrating data & analytics to enhance plant economics Modify & adapt >500 operational parameters/turbine Equipment & hardware 27,500+ turbine fleet >120 sensors/turbine Communicat 900 signals/turbine/sec e Control Pitch, yaw, rating, torque, sspeed, aero Predict & decide 6min avg return to service output productivity revenue Analytics 150+ rules & algorithms Aggregate & share 16,000 turbines monitored Data >4,000 GB stored Continually investing in our brilliant wind platform Comparative statements refer to GE technology
The Digital Wind Farm.. says Steve Bolze, president and CEO of GE Power & Water. This is the perfect example of using big data, software and the Industrial Internet to drive down the cost of renewable electricity. 13