Renewable Energy Technologies (Wind Energy) Presented by Salman Nazir Section-1: Introduction of RE & Wind Prospects 1 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 of RE & Wind Q&A SessionSection-1: Introduction 2 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) Section-1: Introduction of RE & Wind Prospects 3 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 Section-1: Introduction of RE & Wind Prospects 4 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 Section-1: Introduction of RE & Wind Prospects 5 Need of RE Current Energy Statistics and Wind Market Section-1: Introduction of RE & Wind Prospects 6 Oil Price(USD/Barrel) 140 120 USD/Barrel 100 80 60 40 20 0 Section-1: Introduction of RE & Wind Prospects 7 High Speed Diesel Price in Pakistan (2001-2011) 90 80 60 197.5% 50 40 30 20 10 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 0 2001 Price (PKR/Litre) 70 Years Section-1: Introduction of RE & Wind Prospects 8 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 Section-1: Introduction of RE & Wind Prospects 9 Tariff (2012) 40 35 30 25 20 15 10 5 0 Section-1: Introduction of RE & Wind Prospects 10 What to Do Then if ?? Go for Natural Energy Sources (RE Sources) Section-1: Introduction of RE & Wind Prospects 11 Section-1: Introduction of RE & Wind Prospects 12 Section-1: Introduction of RE & Wind Prospects 13 Section-1: Introduction of RE & Wind Prospects 14 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 Section-1: Introduction of RE & Wind Prospects 15 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 Section-1: Introduction of RE & Wind Prospects 16 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 Section-1: Introduction of RE & Wind Prospects 17 Section-1: Introduction of RE & Wind Prospects 18 Section-1: Introduction of RE & Wind Prospects 19 Wind Power: Vision and Current Development in Pakistan 50 MW Project, WTG Erection Section-1: Introduction of RE & Wind Prospects 20 Section-1: Introduction of RE & Wind Prospects 21 HISTORY OF WIND TURBINE Section 2: Wind Turbine Technology 22 History of Wind Turbine Section 2: Wind Turbine Technology 23 • 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. Section 2: Wind Turbine Technology 24 Section 2: Wind Turbine Technology 25 Wind Power: Global Overview Section 2: Wind Turbine Technology 26 Section 2: Wind Turbine Technology 27 Section 2: Wind Turbine Technology 28 Wind Energy Basic Section 2: Wind Turbine Technology 29 Main Parts 1. Rotor 2. Nacelle 3. Tower 4. Foundation 5. Substation Section 2: Wind Turbine Technology 30 Section 2: Wind Turbine Technology 31 Section 2: Wind Turbine Technology 32 • 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. Section 2: Wind Turbine Technology 33 Power Curve Where m = mass of air V = Velocity of air Section 2: Wind Turbine Technology 34 Section 2: Wind Turbine Technology 35 Where V = Velocity of air ᵽa=air density AT = Cross sectional area of rotor Section 2: Wind Turbine Technology 36 • 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. Section 2: Wind Turbine Technology 37 Where PT= Power Produced by Turbine Rotor Section 2: Wind Turbine Technology 38 Section 2: Wind Turbine Technology 39 Thrust Curve Curve • The thrust force experienced by the rotor (F) can be expressed as • Hence we can represent the rotor torque (T) as Section 2: Wind Turbine Technology 40 • 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 Section 2: Wind Turbine Technology 41 Section 2: Wind Turbine Technology 42 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. Section 2: Wind Turbine Technology 43 Section 2: Wind Turbine Technology 44 Section 2: Wind Turbine Technology 45 Section 2: Wind Turbine Technology 46 Vertical Axis Wind Turbine Section 2: Wind Turbine Technology 47 • 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. Section 2: Wind Turbine Technology 48 Wind Resource Assessment Section 3: Wind Measurement 49 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 Section 3: Wind Measurement 50 Wind Resource Assessment (Key Steps) • • • • Investigation of Measurement Station Wind Data Analysis Micrositing Energy Yield Estimation Section 3: Wind Measurement 51 Measurement Equipment Section 3: Wind Measurement 52 Section 3: Wind Measurement 53 Section 3: Wind Measurement 54 3 CUP Anemometer Section 3: Wind Measurement 55 Sensor type Applications Sensor range Transfer function Accuracy TECHNICAL SPECIFICATIONS 3-cup anemometer wind resource assessment meteorological studies environmental monitoring 1 m/s to 96 m/s (2.2 mph to 214 mph) (highest recorded) OUTPUT SIGNAL m/s = (Hz x 0.765) + 0.35 [miles per hour = (Hz x 1.711) + 0.78] 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) Section 3: Wind Measurement 56 Wind Direction Vane Section 3: Wind Measurement 57 Temperature Sensor Section 3: Wind Measurement 58 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 Section 3: Wind Measurement 59 Data Logger Section 3: Wind Measurement 60 Sampling interval Averaging interval Real time clock DATA COLLECTION 2 seconds 10 minute fixed internal battery-backed with leap year correction, Storage medium 16 MB MultiMedia Card (MMC), nonvolatile FLASH Maximum data storage Parameters recorded for each channel 664 days each data interval is time-stamped average standard deviation min max Data delivery MMC cards internet email via GSM, AMPS or dialup with optional iPack Section 3: Wind Measurement 61 Data Analysis Section 4: Wind Data Analysis & Energy Estimation 62 Wind Resource Assessment (Data Analysis) Section 4: Wind Data Analysis & Energy Estimation 63 Wind Resource Assessment (Data Analysis) Section 4: Wind Data Analysis & Energy Estimation 64 Wind Resource Assessment (Data Analysis) Accuracy Verification of Data: • Correlation with other data sets from area Section 4: Wind Data Analysis & Energy Estimation 65 Wind Resource Assessment (Data Analysis) Accuracy Verification of Data: (Long Term Analysis) 16 14 12 10 8 6 4 1 4 7 10 1 4 7 10 1 4 7 10 1 4 7 10 1 4 7 10 1 4 7 10 1 4 7 10 1 4 7 10 1 4 7 10 1 4 7 10 1 4 2001 2002 2003 2004 2005 2006 Babarband_v80 _mean [m/s] Section 4: Wind Data Analysis & Energy Estimation 2007 2008 2009 2010 LTC WITH HYDRABAD 66 2011 Energy Yield Estimation Section 4: Wind Data Analysis & Energy Estimation 67 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 Section 4: Wind Data Analysis & Energy Estimation 68 Energy Yield Analysis (Components) • • • • Topographic Effects Wind Resource Micrositing Generator • Renowned Tools • WAsP (Wind Analysis & Simulation Programing) • Wind Pro • Wind Farmer Section 4: Wind Data Analysis & Energy Estimation 69 Energy Yield Analysis • Production (kWh) dependent upon: • Wind resource • Wind Turbine Generator • Siting of Wind Turbines Section 4: Wind Data Analysis & Energy Estimation 70 Energy Yield Analysis Micrositing Example: 4.8 MW, 3 x 1.6 MW, GE WTG 5 MW, 2 x 2.5 MW, Nordex WTG Section 4: Wind Data Analysis & Energy Estimation 71 Section 4: Wind Data Analysis & Energy Estimation 72 Section 4: Wind Data Analysis & Energy Estimation 73 Section 4: Wind Data Analysis & Energy Estimation 74 Energy Yield Analysis Major Losses: • Array Loss • Turbine Availability • Electrical Losses • Blade degradation • Substation unavailability Section 4: Wind Data Analysis & Energy Estimation 75 Energy Yield Analysis Type of Turbine GE 1.6-82.5 NORDEX N100 1,600 3 4800 80 82.5 19,083.0 2,500 2 5000 80 100 19,492.00 3.14% 18,484 2.05% 19,092 Other Losses [%] Net Output [MWh/a] Rotor area per WTG [m2] Rotor area, sum [m2] Specific Energy Production [kWh/a/m2] 5.74% 17,422.4 5,346 16,037 1,086 5.74% 17,996.1 7,854 15,708 1,146 Full load hours [h/a] Capacity Factor [%] 3,630 41.43% 3,599 40.09% Turbine Capacity [kW] Number of WTG [-] Installed Park Capacity [kW] Hub Height [m] Rotor Diameter [m] Gross Energy Production [MWh/a] Losses [%] Wake Reduced Power [MWh/a] Section 4: Wind Data Analysis & Energy Estimation 76 Energy Yield Analysis Uncertainty: • Calibration • Mounting • Anemometer selection • Adjustment (internal) • Long term correlation Section 4: Wind Data Analysis & Energy Estimation 77 Electrical Study Section 4: Wind Data Analysis & Energy Estimation 78 Integration of Wind Power in Electric Grid Objectives: • • • • • Reliability Dependability Safety Security Economic Section 4: Wind Data Analysis & Energy Estimation 79 New plant Section 4: Wind Data Analysis & Energy Estimation 80 Integration of Wind Power in Electric Grid Analysis / Studies: • Load Flow • Steady State condition • Contingency Analysis • Voltages, Current flows, Real and Reactive Power flows Section 4: Wind Data Analysis & Energy Estimation 81 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 Section 4: Wind Data Analysis & Energy Estimation 82 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) Section 4: Wind Data Analysis & Energy Estimation 83 Integration of Wind Power in Electric Grid Analysis / Studies: • Power Quality • Voltage unbalance • Flicker • Harmonics • Governed by grid code Section 4: Wind Data Analysis & Energy Estimation 84 Profession involved in Wind Power / RE • Engineer • Non - Engineer 85 Q & A Session 86