Solar Project Yield Assessment. Workshop on Solar Power Project Development, Sept 20-21, 2012

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1 Solar Project Yield Assessment Workshop on Solar Power Project Development, Sept 20-21, 2012 Firstgreen Consulting Pvt Ltd. B 1202 Millennium Plaza, Sec 27 Gurgaon

2 Solar Radiation Components 2

3 Average GHI and DNI In India Average GHI in India 3 Average DNI in India

Land Based Measurement Thermal Pyranometers These are also known as solarimeters and typically consist of a black metal plate absorber surface below two hemispherical glass domes in a white metal

4 Land Based Measurement Thermal Pyranometers These are also known as solarimeters and typically consist of a black metal plate absorber surface below two hemispherical glass domes in a white metal housing. Solar irradiance warms up the metal plate in proportion to its intensity Silicon Sensors These are cheaper than pyranometers and consist of a PV cell, often using crystalline silicon. The current delivered is proportional to the irradiance. Well maintained land-based sensors can measure the solar resource with a relative accuracy of 3-5%. 4

Land Based Measurement On site monitoring provides significant value to assessing a project s potential, translating to higher confidence in energy estimates.

5 Land Based Measurement On site monitoring provides significant value to assessing a project s potential, translating to higher confidence in energy estimates. Accurate Representation of the Project Site Customizable for Various Technologies (e.g., PV or CSP) and Various Users Flexible Equipment Options and Costs Small Environmental Footprint Straight Forward Installation & Operation Self Contained Communications and Power Supply Maintenance Regular Schedule Clean and Level Instrumentation Verify Site Security and Overall Conditions Data Validation and Quality Control Regular System and Data Inspection Comparison with Reference Data Extreme or Suspect Values 5

6 Data Summaries Site Description Solar Statistics Meteorological Statistics Monthly and Diurnal Trends O&M Summary 6

7 Investment Grade Solar Resource Assessment 7

8 Off Site Data Site Location and Exposure Proximity to Project Site Reference Station Period of Record Data Trends Data Recovery Rate Site Maintenance Instrument Calibration Correlation Between Sites 8

9 Adjusting to the Long Term 9

10 Data Uncertainty 10

11 Uncertainty in Long Term Projections 11

12 Uncertainty in Energy Yield Prediction 12

13 Data Sources for Solar Radiation India Meteorological Department data from 23 field stations of the radiation network, measured from NASA s Surface Meteorology and Solar Energy data set. This holds satellite derived monthly data for a grid of 1 x1 covering the globe from The METEONORM global climatological database and synthetic weather generator. This contains a database of ground station measurements of irradiation and temperature. In cases where a site is over 20 km from the nearest measurement station. Satellite-derived geospatial solar data products from the United States-based NREL. Annual average DNI and GHI, latitude tilt, and diffuse data are available at 10 km resolution for India, 13

14 Energy Yield Prediction (RETScreen) 14 Location: Jodhpur (Rajasthan) India

15 Typical Horizontal Solar Irradiation in India 15

16 Monthly Direct and Diffused Rations in Chennai The annual mean GHI in Chennai is 2,021 kwh/m2. By optimally-orientating a fixed tilt plant, the yearly sum of global irradiation may be increased to 2,048 kwh/m2. Based on this resource, a 1 MWp plant with a PR of 80% will give an AC yield of 1,638 MWh. 16

Short term monitoring (ideally up to one year in duration) may be used to

17 Mean Daily GHI Where there is significant uncertainty in the data sources, a short term data monitoring campaign may be considered. Short term monitoring (ideally up to one year in duration) may be used to calibrate long term satellite-derived data and increase the confidence in the long term energy yield prediction. 17

18 Energy Yield Prediction How? Sourcing measured environmental data Calculating the irradiation incident on the tilted collector plane Modelling the performance of the plant with respect to varying irradiance Applying losses Applying statistical analysis of resource data and assessing the uncertainty in input values 18

19 Energy Yield Prediction Losses in the PV System Air Pollution Shading Module Temperature Incident Angle Soiling Module Mismatch DC Cable Resistance Inverter Performance AC Losses Degradation Auxiliary Power Downtime 19

20 Typical Yield Assessment Report Results 20

21 Typical Losses in the Plant 21

22 Thank You FirstGreen Consulting Private Limited Gurgaon: U 28A/3 FF, DLF Ph III, Gurgaon , India Tel.: (+91) , Fax: (+91) Web: sanjayv@firstgreenconsulting.in 22

SOLAR ENERGY ASSESSMENT REPORT. For 80.5 kwp. Meteorological Data Source NASA-SSE. Date 18 October, Name of Place Uttar Pradesh.

SOLAR ENERGY ASSESSMENT REPORT For 80.5 kwp Name of Place Uttar Pradesh Client abc Capacity 80 kw Meteorological Data Source NASA-SSE Email ezysolare@gmail.com Order No. #1410180006 Date 18 October, 2014