Renewable Energy Technologies (Wind Energy) Presented by Salman Nazir 1 Section-1: Introduction of...

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Renewable Energy Technologies (Wind Energy)

Presented by

Salman Nazir

1Section-1: Introduction of RE & Wind Prospects

Presentation Highlights• Introduction to Renewable Resources Pvt Limited• Need to Introduce Renewable Energies in Power

sector (Introduction of RE)• Global Wind Market• Potential to work in wind Sector-Pakistan• History of Wind Turbine • Wind Energy Basics• Wind Turbine Classification• Wind Resource Assessment/Wind Measurement• Wind Data Analysis/Energy Yield Estimation• Electrical Study• Q&A Session 2Section-1: Introduction of RE & Wind

Prospects

Introduction(Services of RE2 for RE project developers)

• Renewable Resources (Pvt.) Ltd (RE2) is a consulting company provides end to end solutions in RE sector, EE and Environment

• RE2 is local Partner of Lahmeyer International• RE2 undertakes the project development including

feasibility studies, policy Framework, financial consulting, permits and approvals, overseeing EPC activities etc

• RE2 is engaged as Lenders Engineer for Banks (ADB, OPIC, NB, HBL) and Owners Engineer with companies (Fauji Foundation, Fauji Fertilizers, Three Gorgies First Wind Farm, Tapal Power, United Power (Operating BP in Pakistan)

3Section-1: Introduction of RE & Wind Prospects

Our Major Projects

• 10 MW Solar Power Project of Roshan Power-A Beacon house Project

• 02 MW Solar Power Project of 1st Solar

• Development of Micro Finance System for MFIs / DFIs to support Off-Grid Solar PV Applications – A Project of Enercon

• 50 MW Wind Power Project of Three Gorges First Wind Farm Pakistan Pvt. Ltd)

• 100 MW Wind Power Project of United Energy Pakistan Limited

• 50 WM Wind Power Project of Hawa Energy Private Limited

• 50 MW Coal Power Project in Punjab of Malakwal Power- A Project of Beacon house Group

4Section-1: Introduction of RE & Wind Prospects

Our Projects CONT…

• 05 MW Wind Project of Albario Energy in Sindh, Pakistan).

• 30 MW Wind Project of Tapal Wind Energy Ltd in Sindh, Pakistan

• Regional Wind Resource Assessment in Kalar Kahar.

• Promoting Sustainable Energy Production and Use of Biomass in Pakistan – A Project of WINROCK / UNIDO

5Section-1: Introduction of RE & Wind Prospects

Need of RE

Current Energy Statistics and

Wind Market

6Section-1: Introduction of RE & Wind Prospects

7Section-1: Introduction of RE & Wind Prospects

197.5%

8Section-1: Introduction of RE & Wind Prospects

Tariffs from NEPRA (2012)

Upfront – Wind (RE Tech) US¢14.72/kWh

TGF –Wind (RE Tech) US¢13.99/kWh

165 MW Attock Gen Power Project-Furnace Oil US¢26.92/kWh

209 MW Halmore Power Generation Co Limited-Diesel Oil US¢37.16/kWh

202 MW gas based power Project of Foundation Power Company Daharki Sindh-Natural Gas US¢15.14/kWh

9Section-1: Introduction of RE & Wind Prospects

10Section-1: Introduction of RE & Wind Prospects

What to Do Then if ??

Go for Natural Energy Sources (RE Sources)

11Section-1: Introduction of RE & Wind Prospects

12Section-1: Introduction of RE & Wind Prospects

13Section-1: Introduction of RE & Wind Prospects

14Section-1: Introduction of RE & Wind Prospects

Wind Power: Vision and Current Development in Pakistan

Alternate Energy Development Board (AEDB)

•Promotion, Encouragement and Development of RE•One window service for investor•Transfer of technology and expertise•Established in 2003

15Section-1: Introduction of RE & Wind Prospects

Wind Power: Vision and Current Development in Pakistan

Policy for Development of Renewable Energy for Power Generation, 2006

• Grid Access on doorstep provided by power purchaser• 100% Purchase guarantee• 100% Grid Availability• No customs duty on import of Generation equipment

16Section-1: Introduction of RE & Wind Prospects

Wind Power: Vision and Current Development in Pakistan

National Electric Power Regulatory Authority (NEPRA)•Grid Code Addendum for Wind Power

• Ease of grid integration

Central Power Purchasing Authority (CPPA)•Energy Purchase Agreement for Wind Power

• Operating Procedure• Compensation• Security

17Section-1: Introduction of RE & Wind Prospects

18Section-1: Introduction of RE & Wind Prospects

19Section-1: Introduction of RE & Wind Prospects

Wind Power: Vision and Current Development in Pakistan 50 MW Project, WTG Erection

20Section-1: Introduction of RE & Wind Prospects

21Section-1: Introduction of RE & Wind Prospects

HISTORY OF WIND TURBINE

22Section 2: Wind Turbine Technology

History of Wind Turbine

23Section 2: Wind Turbine Technology

• The era of wind electric generators began close to 1900’s.

• The first modern wind turbine, specifically designed for electricity generation, was constructed in Denmark in 1890

• The first utility-scale system was installed in Russia in 1931. A 100 kW turbine was installed on the Caspian sea shore, which worked for two years and generated about 20,000 kW electricity.

24Section 2: Wind Turbine Technology

25Section 2: Wind Turbine Technology

Wind Power: Global Overview

26Section 2: Wind Turbine Technology

27Section 2: Wind Turbine Technology

28Section 2: Wind Turbine Technology

Wind Energy Basic

29Section 2: Wind Turbine Technology

Main Parts

1.Rotor

2. Nacelle

3. Tower

4. Foundation

5. Substation

30Section 2: Wind Turbine Technology

31Section 2: Wind Turbine Technology

32Section 2: Wind Turbine Technology

• Energy available in wind is the kinetic energy of air masses moving over the earth’s surface.

• Wind turbine blades receive this kinetic energy and transform to mechanical.

• Mechancial energy is converted to electrical forms.

• Conversion efficiency of converting wind to other useful energy forms greatly depends on the efficiency of rotor interaction with the wind stream and efficiency of electrical generator.

33Section 2: Wind Turbine Technology

Power Curve

Where

m = mass of airV = Velocity of air

34Section 2: Wind Turbine Technology

35Section 2: Wind Turbine Technology

Where

V = Velocity of air ᵽa=air densityAT = Cross sectional area of rotor

36Section 2: Wind Turbine Technology

• A turbine cannot extract this power completely from the wind. When the wind stream passes the turbine, a part of its kinetic energy is transferred to the rotor and the air leaving the turbine carries the rest away.

• Actual power produced by a rotor would thus be decided by the efficiency with which this energy transfer from wind to the rotor takes place.

• This efficiency is usually termed as the power coefficient (Cp). • Thus, the power coefficient of the rotor can be defined as the

ratio of actual power developed by the rotor to the theoretical power available in the wind.

37Section 2: Wind Turbine Technology

Where

PT= Power Produced by Turbine Rotor

38Section 2: Wind Turbine Technology

39Section 2: Wind Turbine Technology

Thrust Curve Curve

• The thrust force experienced by the rotor (F) can be expressed as

• Hence we can represent the rotor torque (T) as

40Section 2: Wind Turbine Technology

• This is the maximum theoretical torque and in practice the rotor shaft can develop only a fraction of this maximum limit.

• The ratio between the actual torque developed by the rotor and the theoretical torque is termed as the torque coefficient

41Section 2: Wind Turbine Technology

42Section 2: Wind Turbine Technology

Wind Turbine Classification

• Horizontal Axis Wind Turbine– Most Commercially used design– Higher power coefficient– Low cut in wind speed– Complicated design– Yaw drive arrangement required.

43Section 2: Wind Turbine Technology

44Section 2: Wind Turbine Technology

45Section 2: Wind Turbine Technology

46Section 2: Wind Turbine Technology

Vertical Axis Wind Turbine

47Section 2: Wind Turbine Technology

• No Yaw arrangement required.

• Gear box and Generator can be accommodated at ground

• Low maintenance cost.

• Usually not self starting

• Low turbine efficiency.

• Chances of high rotational speed and structure breakage.

48Section 2: Wind Turbine Technology

Wind Resource Assessment

49Section 3: Wind Measurement

Wind Resource Assessment (Basics)

• What is Wind Resource Assessment?• What are basic parameters of Wind Resource Assessment

• Wind Speed• Wind Direction• Air Density• Temperature

• What is importance of Wind Data? • Wind measuring Equipment

50Section 3: Wind Measurement

Wind Resource Assessment (Key Steps)

• Investigation of Measurement Station• Wind Data Analysis• Micrositing• Energy Yield Estimation

51Section 3: Wind Measurement

Measurement Equipment

52Section 3: Wind Measurement

53Section 3: Wind Measurement

54Section 3: Wind Measurement

3 CUP Anemometer

55Section 3: Wind Measurement

TECHNICAL SPECIFICATIONSSensor type 3-cup anemometer Applications wind resource assessment

meteorological studies environmental monitoring

Sensor range 1 m/s to 96 m/s (2.2 mph to 214 mph) (highest recorded)

OUTPUT SIGNAL Transfer function m/s = (Hz x 0.765) + 0.35 [miles

per hour = (Hz x 1.711) + 0.78] Accuracy within 0.1 m/s (0.2 mph) for

the range 5 m/s to 25 m/s (11 mph to 55 mph)

Calibration calibrated version available Swept diameter of rotor 190 mm (7.5 inches) 56Section 3: Wind Measurement

Wind Direction Vane

57Section 3: Wind Measurement

Temperature Sensor

58Section 3: Wind Measurement

DESCRIPTION Sensor type integrated circuit temperature sensor

with six plate radiation shield

Applications wind resource assessment meteorological studies environmental monitoring

Sensor range -40 °C to 52.5 °C (-40 °F to 126.5 °F) OUTPUT SIGNAL

Transfer function Temp = (Voltage x 55.55) – 86.38 °C[Temp = (Voltage x 100) – 123.5 °F]

Accuracy offset is +/- 0.8 °C (1.4 °F) maximum nonlinearity is +/- 0.33 °C (+/- 0.6 °F) maximum total error +/- 1.1 °C (2 °F)

RESPONSE CHARACTERISTICS Thermal time constant 10 minutes

59Section 3: Wind Measurement

Data Logger

60Section 3: Wind Measurement

DATA COLLECTION Sampling interval 2 seconds Averaging interval 10 minute fixed Real time clock internal battery-backed with leap year

correction,

Storage medium 16 MB MultiMedia Card (MMC), non-volatile FLASH

Maximum data storage 664 days Parameters recorded for each channel

each data interval is time-stamped average standard deviation min max

Data delivery MMC cards internet email via GSM, AMPS or dial-up with optional iPack

61Section 3: Wind Measurement

Data Analysis

62Section 4: Wind Data Analysis & Energy Estimation

Wind Resource Assessment (Data Analysis)

63Section 4: Wind Data Analysis & Energy Estimation

Wind Resource Assessment (Data Analysis)

64Section 4: Wind Data Analysis & Energy Estimation

Wind Resource Assessment (Data Analysis) Accuracy Verification of Data:•Correlation with other data sets from area

65Section 4: Wind Data Analysis & Energy Estimation

Wind Resource Assessment (Data Analysis) Accuracy Verification of Data: (Long Term Analysis)

66Section 4: Wind Data Analysis & Energy Estimation

Energy Yield Estimation

67Section 4: Wind Data Analysis & Energy Estimation

Energy Yield Analysis

• Determine Energy Production (kWh)• Plant specific parameters such as capacity factor• Required by:

• Project company• Financial assessment

• Project lenders• Risk / Financial assessment

• Power Purchaser• Planning / Forecasting• Determination of Energy Price from Plant

68Section 4: Wind Data Analysis & Energy Estimation

Energy Yield Analysis (Components)

• Topographic Effects• Wind Resource• Micrositing• Generator

• Renowned Tools• WAsP (Wind Analysis & Simulation Programing)• Wind Pro• Wind Farmer

69Section 4: Wind Data Analysis & Energy Estimation

Energy Yield Analysis

• Production (kWh) dependent upon:• Wind resource • Wind Turbine Generator• Siting of Wind Turbines

70Section 4: Wind Data Analysis & Energy Estimation

Energy Yield Analysis

Micrositing Example:

5 MW, 2 x 2.5 MW, Nordex WTG

4.8 MW, 3 x 1.6 MW, GE WTG

71Section 4: Wind Data Analysis & Energy Estimation

72Section 4: Wind Data Analysis & Energy Estimation

73Section 4: Wind Data Analysis & Energy Estimation

74Section 4: Wind Data Analysis & Energy Estimation

Energy Yield Analysis

Major Losses:•Array Loss•Turbine Availability•Electrical Losses•Blade degradation•Substation unavailability

75Section 4: Wind Data Analysis & Energy Estimation

Energy Yield Analysis

76Section 4: Wind Data Analysis & Energy Estimation

Type of Turbine GE 1.6-82.5 NORDEX N100

Turbine Capacity [kW] 1,600 2,500Number of WTG [-] 3 2Installed Park Capacity [kW] 4800 5000Hub Height [m] 80 80Rotor Diameter [m] 82.5 100Gross Energy Production [MWh/a] 19,083.0 19,492.00

Losses [%] 3.14% 2.05%Wake Reduced Power [MWh/a] 18,484 19,092

Other Losses [%] 5.74% 5.74%Net Output [MWh/a] 17,422.4 17,996.1Rotor area per WTG [m2] 5,346 7,854Rotor area, sum [m2] 16,037 15,708Specific Energy Production [kWh/a/m2] 1,086 1,146

Full load hours [h/a] 3,630 3,599Capacity Factor [%] 41.43% 40.09%

Energy Yield Analysis

Uncertainty:•Calibration•Mounting•Anemometer selection•Adjustment (internal)•Long term correlation

77Section 4: Wind Data Analysis & Energy Estimation

Electrical Study

78Section 4: Wind Data Analysis & Energy Estimation

Integration of Wind Power in Electric Grid

Objectives:

•Reliability•Dependability•Safety•Security•Economic

79Section 4: Wind Data Analysis & Energy Estimation

New plant

80Section 4: Wind Data Analysis & Energy Estimation

Integration of Wind Power in Electric Grid

Analysis / Studies:

•Load Flow• Steady State condition• Contingency Analysis• Voltages, Current flows, Real and Reactive Power flows

81Section 4: Wind Data Analysis & Energy Estimation

Integration of Wind Power in Electric Grid

Analysis / Studies:

•Short Circuit• Current flows under fault conditions• Max SC levels

• Identify need for upgrading breakers etc.• Min SC levels

• Identify reduction in network strength PQ issues

82Section 4: Wind Data Analysis & Energy Estimation

Integration of Wind Power in Electric Grid

Analysis / Studies:

•Dynamic / Transient• Time varying nature of Wind Power

• Voltage changes check impact on excitation of other generation

• Response of bus voltages in event of fault• Impact on frequency• Power recovery of Wind Farm after fault clearance (LVRT)

83Section 4: Wind Data Analysis & Energy Estimation

Integration of Wind Power in Electric Grid

Analysis / Studies:

•Power Quality• Voltage unbalance• Flicker• Harmonics• Governed by grid code

84Section 4: Wind Data Analysis & Energy Estimation

Profession involved in Wind Power / RE

• Engineer• Non - Engineer

85

Q & A Session

86

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