Beyond Big Data: Harnessing the Industrial Internet for Wind Power

15
Imagination at work. Milesh Gogad GE Renewable Energy May 15, 2015 © 2015 General Electric Company. All rights reserved. Beyond Big Data Harnessing the Industrial Internet for Wind Power GE Confidential The information presented herein is intended for academic purposes, only. Certain information has been derived from sources assumed to be reliable, however, the said information may change without notice. GE Company assumes no liability for use of any such information presented herein. Reproduction without authorization is forbidden.

Transcript of Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Page 1: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Imagination at work.

Milesh Gogad

GE Renewable Energy

May 15, 2015

© 2015 General Electric Company. All rights reserved.

Beyond Big Data Harnessing the Industrial Internet for Wind Power

GE Confidential

The information presented herein is intended for academic purposes, only. Certain information has been derived from sources assumed to be reliable, however, the said information may change without notice. GE Company assumes no liability for use of any such information presented herein. Reproduction without authorization is forbidden.

Page 2: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Agenda

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 2

1. GE Renewable Energy

2. Industrial Internet

3. Applications

Page 3: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

GE Renewable Energy

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 3

Global Credentials

40+

GW

31

25 k

98%

$ 2 B

Installed

Countries

Wind Turbines

Availability

R&D Invested

India Capabilities

400+

MW

150+

150+

Installed

Turnkey Scope

Pune Manufacturing

I&C, O&M Team

R&D Team

Page 4: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Inception to Interconnection … & beyond

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 4

Metmast erection, WRA

Micro-siting, permit app, off-taker scouting

Schedule planning, land acquisition

Equity, debt, construction funding, multi-lateral

agency liaison

Turbine, BOP,

Logistics

Installation, Commissioning,

Foundation

Comprehensive Services, Spares,

Remote Monitoring, Predictive Analytics

AEP Enhancement, Forecasting, Fleet

Monitoring

Inception Validation Project Development

Financial Closure

Supply Interconnection

O&M Lifecycle Value

Page 5: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

The Industrial Internet

GE Renewable Energy | May 2015 Source: Industrial Internet: Pushing the Boundaries of

Minds & Machines, GE, Nov 2012

© 2015 GE Proprietary Information 5

021010308 013161090 040109010 104078050

Big Data

Transforming massive volumes of information into intelligence

Internet of Things

A living network of machines, data and people

Intelligent Machines

Increasing sys. intelligence through embedded software

Analytics

Generating data-driven insights and enhancing asset performance

Forces shaping

the Industrial Internet

$ 27 B

Rail

$ 30 B

Aviation

$ 63 B

Healthcare

$ 66 B

Power

$ 90 B

Oil & Gas

Connected machines and data could eliminate up to $150 B in waste across industries

The Power of

1% Gain in Efficiency

Page 6: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Big Data & Analytics’ Outcomes

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 6

Improved Compliance

Advanced Predictability

Better Productivity

Superior Asset Management

Higher Performance / AEP

Page 7: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Industrial Internet For Wind Power

GE Renewable Energy | May 2015 *Trademark of General Electric Company

© 2015 GE Proprietary Information 7

WindSCADA™

Wind Power Forecasting

WindCONTROL™ Farm Control System

Field Mobility System For Field Technicians

Energy Storage

GE Capabilities

1. OEM’s Product Expertise … Design margins’ interrelationships, control parameter optimization

2. O&M Experience … From monitoring > 19,000 WTGs around the world

3. Innovative Commercial Model … Outcome driven, AEP gain-linked PowerUp™ offering; Full Service Agreements (FSAs)

Capabilities O&M Expertise + Tools/Tech WTG ‘Native’ Tech Optm’zn Commercial Model

Outcomes CF AEP Revenue & Risk Predix™ Server

On-Premise or Cloud

Wind Fleet Visibility

Digitized Workflow & Asset Management

PulsePoint™ Predictive Analytics

PowerUp* Services AEP Increase

Page 8: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

App 1: PowerUp* Services

GE Renewable Energy | May 2015 Application of listed technologies could vary depending on site conditions

*Trademark of General Electric Company

© 2015 GE Proprietary Information AEP measurement validation white paper available

8

Enabling Technologies Speed Torque Tuning,

Pitching Strategy, TSR, Peak Shaver Optimization, Wake

Management, Vortex Generators, Chord/Blade

Extension

Performance Dials

Speed, Pitch, Torque, Yaw, Controls, Aero

Commercial Model Validated AEP outcome driven; CapEx or OpEx based revenue sharing

Outcome Up to 5% AEP

while maintaining mechanical loads

within design envelope

Cut-in

tracking

Run-up

Speed control

Rated power

Pitch control

Cut-out

Wind Speed (m/s) P

ow

er

(kW

)

Rating increase Pitch

Rotor increase

Speed & torque

Aero modifications

Start-up

Moving Power Curve

Up & Left

Page 9: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

PowerUp*: GE, India Case Study

GE Renewable Energy | May 2015 *Trademark of General Electric Company

© 2015 GE Proprietary Information 9

• GE Customer Site

• Location: Karnataka

• Farm Capacity: 15 X 1.5 = 22.5 MW

• Software Technologies Employed

• Rated Generator Speed Increase

• Turbine Performance Optimization

• Peak Shaver

• Rigorous Validation Methodology

• Projected AEP Gain

Average Power Curve Delta from 15 Turbines before & after PowerUp

3.5%

Pilot Details PowerUp Impact

0

2

4

6

8

10

12

14

3.0

3.5

4.0

4.5

5.0

5.5

6.0

6.5

7.0

7.5

8.0

8.5

9.0

9.5

10

.0

10

.5

11

.0

De

lta

Po

we

r (k

W)

Wind Speed (m/s)

Page 10: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

App 2: Wind Power Forecasting

GE Renewable Energy | May 2015 Data presented applicable for specific site & period;

generalization not recommended.

© 2015 GE Proprietary Information 10

Renewable Regulatory Fund GE, India Pilot Results

-100 %

-30% 30% 50%

Deviations

Actual v/s Forecast

Hig

h

Lo

w

Fre

qu

en

cy

79% 79%

10%

3% 7%

21%

0%

20%

40%

60%

80%

100%

+/- 30% < -30% 30%-50% > 50% Total

Energy (MWh)

Period: Jun 2014 to April 2015 (11 Months)

OFF

Forecasting Challenges

Weather Data

Site Connectivity

Analytic Optimization

Turbine Data

GE Integrated Forecasting & Control Solution

Customized Analytics

Local + Remote Arch.

Wind Farm Controls

User Experience

Page 11: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Apps 3 & 4: Asset & Fleet Management

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 11

• Condition monitoring system

• Drive train vibration alarms & anomalies

• downtimes, availability

• Unplanned planned maintenance

• O&M and insurance costs

• Fleet performance analytics

• Live production, availability & turbine status

• Benchmarking

• Multi-farm, multi-OEM view

• Informed decisions

PulsePOINT Advanced M&D Wind Fleet Visibility

Page 12: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Big Data Analytics: Desired Partner Capabilities

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 12

Native Turbine Technology Knowledge

Integration With Wind Farm

Systems

Long Term Risk Management

Outcome Based Commercial

Models

Page 13: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

Summary

• Big data & analytics

… immense applications in wind power

• Illustrative applications from GE

… AEP enhancement, forecasting, asset & fleet management

• Critical to choose the right partner

… understands turbines & analytics, manages risks

• Connect to know more

[email protected]

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 13

Page 14: Beyond Big Data: Harnessing the Industrial Internet for Wind Power

GE Renewable Energy | May 2015 © 2015 GE Proprietary Information 14

View complete presentation on the GE India SlideShare handle

http://www.slideshare.net/GE_India

For more updates, follow us on:

@geindia /GEIndia /GEIndiaReports /geindia

Page 15: Beyond Big Data: Harnessing the Industrial Internet for Wind Power