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Estimation of Power Generation Potential of Bright Roof- Areas and Photovoltaic Sizing in Hyderabad City using Geospatial technology by by Sainu Franco,

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Presentation on theme: "Estimation of Power Generation Potential of Bright Roof- Areas and Photovoltaic Sizing in Hyderabad City using Geospatial technology by by Sainu Franco,"— Presentation transcript:

1 Estimation of Power Generation Potential of Bright Roof- Areas and Photovoltaic Sizing in Hyderabad City using Geospatial technology by by Sainu Franco, V.R.Mandla and Nikhil.P.G School of Mechanical and Building Sciences (SMBS), VIT University, Vellore, TamilNadu, India. 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

2 Introduction The harbinger of economic growth and industrial development of any country is power generation. This causes GHG emissions and depletion of fossil fuels. Solar electricity has the potential to offset these negative impacts. 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

3 Objective The calculation of roof area suitable for solar applications is done by analyzing available geospatial technology. This study also develops an algorithm to estimate the total PV system components, using analytical methods. The details of the power plant capacity required for 1 MW is also discussed. The proposed results help the design engineers to fix the system and space requirements. 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

4 I.I. Data sources In order to identify and calculate the bright roof top areas the visible, near infrared (VNIR) and thermal bands of Terra/ASTER level 1B acquired with a spatial resolution of 15 m was analyzed. 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

5 I.2 ASTER characteristics The ASTER instrument acquires surface data in the visible to near- infrared (three bands at 15m per pixel), short-wave infrared (six bands at 30m per pixel) and thermal infrared (five bands at 90m per pixel) wavelength regions of the electromagnetic spectrum 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

6 I. 3. Study Area 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

7 I. 3. Study Area Hyderabad, is the capital of Andhra Pradesh, India. It is one of the largest metropolitan city of India. Hyderabad is situated on Deccan plateau, located in North West of Andhra Pradesh. Situated on 17° 22' 31" North latitude and 78° 28' 27" East longitude it has an average elevation of about 536 metres above sea level (1,607 ft). 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

8 II. II. Classification Accuracy Assessment: Supervised and Unsupervised classification Supervised classification techniques include Parallelepiped, Minimum Distance, Mahalanobis Distance, Maximum Likelihood, Spectral Angle Mapper (SAM) Unsupervised classification includes ISO-Data and K-Means techniques. 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

9 ◦ Post classification tools classify rule images to calculate class statistics and confusion matrices to apply majority and minority analysis in classifying images II. Post Classification : 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

10 III. 2. Classification Accuracy Fig: Classification accuracy using various classifiers Fig: Kappa coefficients values for various classifiers Classification accuracy using various classifiers 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications (Source: Sainu & Ravibabu, 2012, IJEE)

11 Classified Image 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications Fig: Classification image of study area using SVM

12 Bright Roof Area Extraction Fig: Shows bright roof area extraction using Google earth Scale 1: 65m 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

13 Classified ObjectsArea (km 2 ) % of total area Bright roof Area Land Vegetation Less bright roofs & roads Water bodies th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

14 Photovoltaic System Flowchart PV Module Battery Bank Inverter DC Load Solar Radiation AC Load 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

15 PV Sizing Algorithm Start End Read load data Read weather data Read PV module input data Print the values of Number of modules Fix the inverter size Perform calculations for Module sizing 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

16 Nps = (Vdc/Vm) (1) Npp = (Pc / (W X Nps) (2) Ahd = (Im X hs X 0.9 X 0.9 X Npp) (3) Wht = (Ahd X Vdc X Ei) (4) Nar = (Npp X Isc X 1.3/Ar) (5) Area of the modules required = 0.64 X Nps X Npp (6) 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

17 Module Parameters Model Number Maximum Power Short circuit current (I sc ) Open circuit voltage (V oc ) Current at max power(I mp ) Max current rating of module(I m ) Current rating of charge controller (A r ) No: of sub-arrays and regulators VOLTAGE AT PEAK POWER POINT (V M ) L1270 ( BHEL Make) 70 W 4.6A 21V 4.3A 4.4A V Inverter parameters Efficiency (E i ) System voltage (V dc ) V Radiation input T8 = 25 0 C - Min Temperature at site h s = 5.12hrs - Hours of bright sunshine G1 = 5.12 kWh/m 2 Average solar radiation Table: Shows Module Inverter parameters and Radiation input

18 Output dataHyderabad city1MW No: of modules Series Parallel Total No: No of sub arrays and regulators No. of inverters Space Requirements (Area of modules) Electricity generated daily x x km kWh x 10 3 m x 10 3 kWh Table : Shows results of module sizing using simulation

19 Conclusion The available bright roof area in Hyderabad suffices for meeting 40% of the total power requirement of MCH. Much higher accuracy can be achieved if technically advanced datasets of LIDAR or photogrammetry are used. This study would not have been possible without the help of Geospatial data and it has proved to be an invaluable tool in studies of present scale and also at macro level. 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

20 References APCPDCL (www.apcentralpower.com/ ) accessed on Article on “Power Consumption Spirals”, The Hindu March 05, Vinod Kumar Sharma, Antonio Colangelo and Guiseppe Spagna, 1995; Photovoltaic technology: Basic concepts, Sizing of a stand alone photovoltaic system for domestic applications and preliminary economic analysis; Energy Convers. Mgmt, Vol.36, No.3, pp Fragaki.A and Markvart.T, 2008; Stand-alone PV system design: Results using a new sizing approach; Renewable Energy 33: Uzunoglu.M, Onar.O.C and Alam.M.S, 2009; Modelling, control and simulation of a PV/FC/UC based hybrid power generation system for stand alone applications; Renewable Energy 34: Rodolfo Dufo- Lopez, Jose.L, Bernal Agustin, Jose.M.Yusta.Loyo, Jose.A.Dominguez Navarro, Ignacio.J, Ramirez Rosado, Juan Lujano, Ismael Aso, 2011; Multi objective optimization minimizing cost and life cycle emissions of stand-alone PV-wind-diesel systems with battery storage; Applied Energy 88: Kaushika.N.D, Nalini.K.Gautam and Kshitiz Kaushik, 2005; Simulation model for sizing of stand alone solar PV system with inter connected array; Solar Energy materials & Solar Cells 85: Sainu Franco, Usha, M., Ravibabu, M.V., Jothimani, P., 2011 ; Accuracy assessment of image classification techniques on aster data for landuse and landcover, Proceedings of 2nd International Conference on Advances in Mechanical, Manufacturing and Building Sciences (ICAMB-2012), Jan, 2012, Organized by VIT University, India. 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

21 Acknowledgment Authors would like to thank.. Director, CDMM, VIT University for permitting to utilize GIS lab Dr. Kamal Jain, Professor, Civil Engineering Department, IIT-Roorkee for providing necessary data for this study. Mr. Peter Paul, Head, Survey & Mapping SAP SPATIAL SERVICES Hyderabad for sharing spatial data 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications

22 Thank you for your kind attention..!

23 Nomenclature Npsnumber of modules in series Vdcsystem voltage Vm nominal voltage of the moduleNpp number of modules in parallel W rated wattage of module Pcplant installed capacity in Watts Ahd daily ampere hours generated Immax. current rating of module hs hours of bright sunshine Whtsizing of Charge Controller Ei efficiency of inverter Nar number of sub arrays and regulators Isc short circuit current; Ar current rating of charge controller T8 min temperature at site; G1Avg of mean monthly global radiation 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications


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