1. Optimization of solar panel installation using remote sensing technique Dr. Kakoli Saha (Ph.D.) Department of Planning, SPA Bhopal kakolisaha@spabhopal.ac.in Renewable Energy and Sustainable Habitat Conference @ SPA Delhi, 29 th January, 2014 1

2.  B.Sc. (Honors: Geography, Specialization: Environmental Geography) from Presidency College, Kolkata, (1998-2001).  M.Sc. in Geography, Specialization: Regional Planning) from Calcutta University, Kolkata, (2001-2003).  Ph.D. In “Object-Oriented Classification of Drumlins from Digital Elevation Model or DEM” from Kent State University, Kent, Ohio, USA ( 2006-2010). Advisor: Prof. Mandy Munro-Stasiuk.  Sponsoring Agency- Department of Science and Technology, Govt. of India  Project Scheme- DST Fast Track project under Young Scientist Scheme  Duration- September 2012– September 2015  Host Institute: SPA Bhopal, Bhopal, MP, India 2 Introducing the presenter Introducing the project

3. Objective  Automated extraction of rooftops  Determining available rooftop area for solar panel installation  Determining potential amount of solar energy generation for a city 3

4. Why Solar energy is needed for cities?  Sustainable urban development  clean, safe and abundant energy  Solar energy through PV panels Why Solar? 4

5. Study area Figure 1. A. location of Bhopal city within India, B. Ward wise division of Bhopal Municipal area,C. Test area or Ward No. 30 5

6. Data used Aft and Fore images of Cartosat-1 stereo pair Product IDPathRow Date of pass Orbit No Sun Elevation Sun Azimuth 13287390040105320290 16 th Feb 2012 3671947.31144.35 13287390030205320289 16 th Feb 2012 3671949.42141.77 6

7. Data used GCP points 7

8. Methodology  Generating Digital Surface Model (DSM) for Bhopal City Steps for generating DSM from Cartosat-1 data in LPS Steps for generating DSM in Orthoengine 8

9. Three DSMs generated in three different techniques A- generated in Adaptive ATE of LPS; B- generated in Traditional ATE of LPS;C- generated in Orthoengine from Rolta Geomatica 9

10. Accuracy assessment of DSMs General Mass point Quality Adaptive ATETraditional ATE Excellent69.1596%61.9695% Good30.6764%23.1289% Fair0.1639%0.0000% Isolated0.0000% Suspicious0.0000%14.9016% Assess the quality of the matching (within LPS) Software used RMSE X (m)RMSE Y (m) RMSE Total Image (Pixel) Orthoengine6.347.204.02 LPS3.6302.3140.697 Assess the quality of the matching (between Orthoengine and LPS) 10

11. Accuracy assessment of DSMs Point Id DGPS value (m) Calculated value (LPS) in m Residual (LP S) in m Calculated value (Orthoengine) in m Residual (Orthoengine) in m A465.599469.40793.8089462.90-2.70 B467.453470.38092.9279463.89-3.56 C473.494475.95452.4605471.85-1.65 D458.406454.7504-3.6556456.24-2.17 E469.96485.586315.6263487.7817.82 F459.995463.53443.5394469.379.38 Comparing vertical accuracy between block GCP and DSM (Part-1) LPS Orthoengi ne Mean Absolute Error 5.3364 6.212681 Mean Error4.11792.851453 RMSE7.06178.492889 Comparing vertical accuracy between block GCP and DSM (Part-2) 11

12. Methodology (cont.) Generating Normalized Digital Elevation Model or nDSM 12

13. Automated rooftop extraction in eCognition Developer 13

14. Results of automated extraction and visual comparison 14

15. Potential for energy generation  Estimated rooftop area from automated map- 300,850 sqmt  Mean annual Global Horizontal Irradiance for Bhopal is 5.781 kWh/m 2 /day.  With this much of area net energy to be captured is 1739.213 MWh/day  Normally solar cells having less than 10% efficiency  Net electricity can be generated 173.92 MWh/day or 173,920 kWh/day.  Considering 10 kWh/day electricity requirement per household, this amount of electricity can serve approximately 17,392 households. 15

16. THANK YOU 16