Akash Singh Chaudhary; D K Chaturvedi

Efficient Thermal Image Segmentation for Heat Visualization in Solar Panels and Batteries using Watershed Transform

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Author(s)

Akash Singh Chaudhary ^1,* D K Chaturvedi ¹

1. Department of Electrical Engineering, Faculty of Engineering, DEI, Dayalbagh, Agra, UP-282005, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2017.11.02

Received: 23 Jun. 2017 / Revised: 3 Jul. 2017 / Accepted: 1 Aug. 2017 / Published: 8 Nov. 2017

Index Terms

Watershed transform, Heat visualization, Thermal images, Solar panels, Batteries, Image segmentation

Abstract

Sun being a non-conventional source of energy produces solar energy which is clean and available in abundance. The power obtained from solar panels is used to charge solar batteries and utilized to get continuous power supply. Solar panels are installed in open atmosphere and when subjected to different weather conditions involve many problems such as damage to different components, loss of power generation and heating. The different deposits on solar panel surface such as cement deposits, bird droppings increase temperature of deposited area and produce heating. The heating in solar panels develop hot spots. Batteries placed in a battery room attain high temperature and produce heat. This overheating affect working and performance of solar panels and batteries. These effects of heat are not visible by naked eye but are visible in thermal images, captured using thermal imaging camera. This paper focus on implementing an efficient visualization technique to segment the desired portion of heat from thermal images of solar panels and batteries using watershed transform.

Cite This Paper

Akash Singh Chaudhary, D.K. Chaturvedi," Efficient Thermal Image Segmentation for Heat Visualization in Solar Panels and Batteries using Watershed Transform", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.11, pp. 10-17, 2017. DOI: 10.5815/ijigsp.2017.11.02

Reference

[1]Biran, D., Braunstein, A., “Solar radiation and energy measurements”, IEEE Transaction Power Apparatus and Systems, vol. 95, no. 3, pp. 791-794, 1976

[2]“Renewables 2015 Global Status Report”, REN 21Renewable Energy Policy Network for 21st Century, 10th Report in Series of GSR, pp. 18-174, 2015, www.ren21/status-of-renewables/global-status-report

[3]Jenkin, N., “Photovoltaic Systems for Small-Scale Remote Power Supply”, J. Power Engineering, IET, vol. 9, no. 2, pp. 89-96, 1995

[4]Mousa, K., Alzubi, H., Diabat, A., “Design of a Hybrid Solar-Wind Power Plant using Optimization”, 2nd Inter. Conference Engineering Systems Management and Its Applications (ICESMA), IEEE, Sharjah, pp. 1-6, 2010

[5]Davarifar, M., Rabhi, A., Hajjaji A.E., “Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System”, J. Energy and Power Engineering, Scientific Research, vol. 5, pp. 230-236, 2013

[6]Chaudhary, A.S., Yadav, A., “An Overview of Faults and Health Monitoring Estimation of Solar Photovoltaic Power Generation”, Inter. J. Power Electronics Controllers and Converters, vol. 2, no. 2, pp. 19-23, 2016

[7]Chaurey, A., Daembi, S., “Battery Storage for PV Power Systems: An overview”, J. Renewable Energy, ELSEVIER, vol. 2, no. 3, pp. 227-235, 1992

[8]Haddad, R., Shahat , A.E., Kalaani, Y., “Lead Acid Battery Modelling for Solar Photovoltaic Applications”, J. Electrical Engineering, pp. 1-8

[9]Dorobantu, L., Popescu, M.O., Popescu, C.L., et. al., “Depositions Effects and Losses Caused by Shading on Photovoltaic Panels”, IEEE Conference Proceedings, 3rd Inter. Youth Conference on Energetics (IYCE), Leiria, pp. 1-5, 2011

[10]Aghaei, M., Gandelli, A., Grimaccia, F., et. al., “IR real- time Analyses for PV system monitoring by Digital Image Processing Techniques”, Inter. Conference Event-based Control, Communication, and Signal Processing (EBCCSP), IEEE, Krakow, pp. 1-6, 2015

[11]Srikanth, T., Kumar, P. P., Kumar, A., “Colour Image Segmentation using Watershed Algorithm”, Inter. J. of Computer Science and Information Technologies (IJCSIT), vol. 2, no. 5, pp. 2332-2334, 2011

[12]Mekhilef, S., Saidur, R., Kamalisarvestani, M., “Effect of dust, humidity and air velocity on efficiency of photovoltaic cells”, J. Renewable and Sustainable Energy Reviews, ELSEVIER, vol. 16, pp. 2920-2925, 2012

[13]“Hand Book for Solar Photovoltaic (PV) Systems” by Organisations-Solar Energy Research Institute of Singapore, Grenzone PTE Ltd, Phoenix Solar PTE Ltd, Singapore Polytechnic, SP Power Grid, Urban Redevelopment Authority, pp. 7-9

[14]Manimekalai, P., Harikumar, R., Raghavan, S., “An Overview of Batteries for Photovoltaic (PV) Systems”, Inter. J. of Computer Applications, vol. 82, no.12, pp. 0975-8887, 2013

[15]Shekhawat, R.S., “Infrared Thermography- A Review”, Inter. J. Engineering Trends and Technology, vol. 35, no.6, pp.287-290, 2016

[16]Rajmanova, P., Nudzikova, P., Vala, D., “Applications and Technology of Thermal Imaging Camera in Medicine”, Inter. Federation of Automatic Control, ELSEVIER, vol. 48, no. 4, pp. 492-497, 2015

[17]Kongkham, G., Santhosh Kumar, K.L., “Analysis of Image Segmentation Techniques”, Inter. Research J. of Computer Science (IRJCS), vol. 2, no. 6, pp. 45-53, 2015

[18]Yang, Q., Kang, W., “General Research on Image Segmentation Algorithms”, Inter. J. Image, Graphics and Signal Processing, MECS, vol. 1, pp. 1-8, 2009

[19]Mon, K.L., “Automatic Image Segmentation Using Edge and Marker-Controlled Watershed Transformation”, Inter. Conference Advances in Engineering and Technology (ICAET'2014), Singapore, pp. 100-104, 2014

[20]Mahajan, P., Madhe, S., “Morphological Feature Extraction of Thermal Images for Thyroid Detection”, Inter. J. Electronics Communication and Computer Engineering, vol. 5, no. 4, pp. 11-14, 2014

[21]E. Kaplani, “Detection of Detection of Degradation Effects in Field-Aged c-Si Solar Cells through IR Thermography and Digital Image Processing”, Inter. J. Photo-energy, vol. 2012, Hindawi Publishing Corporation, pp. 1-11, 2012

[22]Tsanakas, J.A., Ha, Long., Buerhop, C., et al., “Faults and Infra-red Thermographic Diagnosis in operating c-Si Photovoltaic Modules: A Review of Research and Future Challenges”, Renewable and Sustainable Energy Reviews, vol. 62, pp. 695-709, 2016

[23]Kannegulla , A., Salivahana Reddy, A., Sai Sudhir, KVR, et. al., “Thermal Imaging system for Precise Traffic Control and Surveillance”, Inter. J. Scientific & Engineering Research, vol. 4, no. 11, pp. 464-467, 2013

[24]Yasaswi, V., Keerthi, S., Jainab Begum, S., et. al., “Infra-red Thermal Image Segmentation for Fault Detection in Electrical Circuits Using Watershed Algorithm”, Inter. J. Engineering Trends and Technology (IJETT), vol. 21, no. 9, pp. 423-429, 2015

[25]Parvati,K., Prakasa Rao, B.S., Mariya Das, M., “Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation”, Discrete Dynamics in Nature and Society, pp. 1-8, 2008

International Journal of Image, Graphics and Signal Processing (IJIGSP)