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High Quality Measurement Systems for Wind and Solar Resource Assessment Vicente Gutiérrez, Business Development Manager of Ammonit Measurement GmbH.

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Presentation on theme: "High Quality Measurement Systems for Wind and Solar Resource Assessment Vicente Gutiérrez, Business Development Manager of Ammonit Measurement GmbH."— Presentation transcript:

1 High Quality Measurement Systems for Wind and Solar Resource Assessment
Vicente Gutiérrez, Business Development Manager of Ammonit Measurement GmbH

2 Ammonit Company Profile
Ammonit Company Profile German company, based in Berlin 25 years of know-how (founded in 1989) Projects in more than 100 countries Measurement equipment for the following activities: Before the construction of a wind or solar power plant - Wind Resource Assessment - Solar Resource Assessment After the construction of a power plant - Wind Monitoring Systems (SCADA) - Solar Monitoring Systems - Power Curve Measurements Solar Measurement Wind Measurement 2

3 Ammonit Company Profile
Ammonit Company Profile Own products with own development Data loggers  Meteo-40 Online Software for campaign monitoring  AmmonitOR Complete first class measurement systems Wind sensors from the German company Thies Solar sensors from the Japanese company EKO SoDAR devices from Swedish company AQ System LiDAR devices from UK company ZephIR Lidar Configuration of cables, cabinets, …  designed and assembled by Ammonit 3

4 Ammonit Product Portfolio
Data Loggers Anemometers Wind Vanes Ultrasonic Anemometer Barometric Pressure Sensor Temperature Humidity Sensors Pyranometers Pyrheliometers Sun Trackers / RSI Precipitation Sensors Remote Sensing Systems Steel Cabinets with Accessories Power Supply & Communication Systems Obstacle Lights

5 Ammonit Global Partner Network
Ammonit Global Partner Network Ammonit cooperates with local partners for: Assembly of systems (cables, solar supply, ...) Mast Installation System Installation Maintenance of the system Partner in Vietnam THINH PHONG LTD COMPANY Ho Chi Minh City Mr. Le Quoc Bao

6 Short History of Wind Measurement in Vietnam
First Wind Energy Resource Atlas of South East Asia Wind Resource Atlas of Vietnam MOIT Sponsor: World Bank Consultant: AWS Truepower High potential along the southern and south-central coasts and in the mountain gaps in central Vietnam 3,000 km coast line! 6.5 to 7m/s in the central-south coast Results: Standard error 0.8m/s Local Measurements needed Source: AWS Truepower

7 Short History of Wind Measurement in Vietnam
2011 – First IEC and MEASNET conform Measurements in Vietnam done by the GIZ, World Bank and Government of Vietnam masts at different sites installed by PECC3 : Different masts in private projects 2016 to 2018 – KfW Bank – German funding project 20 to 40 masts at different sites 2016 to 2018 – World Bank Project 6 to 8 masts (to be installed by PECC3) Final Vietnam Atlas to be done in 2018

8 Wind measurement – How? Wind Resource Assessment Wind Farm Monitoring
Wind measurement – How? Wind Resource Assessment Wind Farm Monitoring Photo by GIZ: Wind site assessment in Northern Chile

9 International Standard for Wind Power Performance Measurement
International Standard for Wind Power Performance Measurement Standards + Guidelines IEC „Power Performance Testing” (CD2) Set-up of a met mast including installation of sensors, sensor quality regarding accuracy and reliability Criteria for data quantity and quality, as well as reporting NEW IEC coming soon: Quality criteria for SoDAR / LiDAR devices and ultrasonic anemometer for wind assessment / traceability of measurement data  Ammonit Measurement Systems MEASNET „Evaluation of site specific winds” Process of site assessment incl. data collection, evaluation and interpretation Focus on data quality, plausibility and integrity incl. data filtering and reporting 9

10 International Standard for Wind Power Performance Measurement
International Standard for Wind Power Performance Measurement Ammonit Meteo-40 data loggers Storage of 1-sec. original measurement data acc. to MEASNET Site Assessment guideline Digitally signed and encrypted measurement data acc. to IEC (CD2) and MEASNET Site Assessment guideline Configurable data transfer via HTTPS, FTP/SCP, to AmmonitOR or client server acc. to MEASNET Site Assessment guideline AmmonitOR Data quality check acc. to MEASNET Site Assessment guideline Filters to detect measurement errors or sensor defects Calendar to monitor data integrity Evaluation and reporting acc. to MEASNET Site Assessment guideline Display data in customizable plots over certain periods PDF reports on sensors and statistics Data archiving 10

11 Betz Law Wind speed Wind energy is proportional to the cube of the wind speed according to Betz’ law: Wind power is P = 1/2 • ρ • A • v³ Δ1% wind speed ≈ Δ 3% wind energy Measure the wind conditions to calculate the wind energy A is the area; ρ is the air density, ρ = p / (R • T), being p the air pressure, T the air temperature and R the gas constant; v is the wind speed 11

12 Impact of Measurement Errors on Estimated Annual Energy Production (AEP) Comparison: the impact of different wind sensors on the assessment Reduce measurement errors by installing high quality sensors Even small discrepancies in the evaluation of wind speed data lead to significant deviations in the assessment calculations Generated Energy Error by 1% Measurement Error Notes Anemometer Δ1% wind speed  Δ3% energy Most important measurement Wind vane No direct relation, but eventually wrong wind park design Important measurement for wake effect Barometric pressure sensor Δ1% pressure  Δ1% energy Extrapolation of pressure possible once site is known Temperature Sensor 1°C  0.35% Humidity Sensor with 40°C; 1%  0.05% 12

13 International Standard for Wind Power Performance Measurement
International Standard for Wind Power Performance Measurement IEC-classified measurement instruments Anemometer classification based on wind tunnel tests performed acc. to IEC :2005 Best anemometer on the market: Thies First Class Advanced Distributor of Thies sensors  Ammonit Anemometer Class A (simple landscape) Class B (complex landscape) Thies First Class (2005/2006) 1.5 2.9 Vector L100 (2005/2006) 1.8 4.5 WindSensor / Risø P2546 (2013) 1.32 3.71 NRG Class 1 (2012) 1.01 8.44 Vaisala WAA151 (2005/2006) 1.7 11.1 Thies First Class Advanced (2008) 0.9 3.0 13

14 Why high quality measurement equipment?
Why high quality measurement equipment? Leverage Effect: Impact of measurement error on profitability A small error in the energy assessment has a huge impact in the profitability of a project. P = 1/2 • ρ • A • v³ v P P $$$$$ wind measurement (error) energy assessment (error) profitability calculation (error) 1st leverage effect 2nd leverage effect 1% wind speed error => 3% wind energy error

15 Why high quality measurement equipment?
Why high quality measurement equipment? Leverage Effect: Impact of measurement error on profitability  A small error in the energy assessment has a huge impact in the profitability of a project. P = 1/2 • ρ • A • v³ v P P $$$$$ wind measurement (error) energy assessment (error) profitability calculation (error) 1st leverage effect 2nd leverage effect 1% wind speed error  3% wind energy error Sensor quality Total Class B Energy 100,000 MWh/year $/KWh High quality 10.50% 86,560 (P90) 6,924,800 (estimated annual yield) Low quality 11.70% 85,024 (P90) 6,801,920 (estimated annual yield) Difference 1.2% 1,536 MWh/year 122,880 $

16 Mast installation The proper placement of the mast is crucial for a successful wind measurement campaign Regulation: IEC :2005 The standard height of approx. 100m The height of the measuring masts are constantly growing The mast must have at least 2/3 of the expected height hub Measurement with remote sensing devices SoDAR (Sonic Detection and Ranging) LiDAR (Light Detection and Ranging) Measurement at hub height in up to 200m Complementary to met mast 16

17 Different wind profiles
Different wind profiles Atypical profile: wind speed decreases after 30m Measuring wind speed at the highest height necessary 17

18 International Standard for Wind Power Performance Measurement
International Standard for Wind Power Performance Measurement IEC-classified measurement instruments SoDAR AQ510 ZephIR 300 Successfully tested for IEC-compliance by leading wind consultant DNV GL A number of verification tests performed by leading wind consultants According to DNV GL accepted for bankable wind speed and energy assessments in simple terrain A number of verification tests performed 18

19 Summary for high quality measurement stations
Summary for high quality measurement stations Data Logger compliant with international norms  Ammonit Meteo-40 High quality sensors  Thies anemometers High masts (2/3 of the wind turbine, 100m) Monitoring software compliant with international norms  Ammonit Online Report Good installation and maintenance team  PECC3, Thinh Phong Note: Similar to Wind Measurement, there is a big science for Solar Measurements 19

20 Please contact us for further information Ammonit Measurement GmbH
Contact Please contact us for further information Cảm ơn! Ammonit Measurement GmbH Wrangelstrasse 100 • D Berlin (Germany) T: F:


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