Work place: Department of Electrical Engineering, Faculty of Engineering, DEI, Agra, Uttar Pradesh, India
E-mail: ishasingh268@gmail.com
Website:
Research Interests: Engineering, Computational Engineering
Biography
Isha obtained her B.Tech in Electronics and Communication from Anand Engineering College, Sharda Group of Institutions, Agra, Uttar Pradesh, India in 2012. She received her M.Tech degree in Wireless Communication & Networks, ICT Department, Gautam Buddha University, Greater Noida in 2014. She served in Rama University, Kanpur, UP in past and currently is a Ph.D student in Electrical Engineering Department, Dayalbagh Educational Institute, Deemed University, Dayalbagh, Agra with main area of research focused on solar power forecasting using soft computing techniques. Ms. Isha has areas of interest in Solar Photovoltaic, Forecasting of Solar Power and Network Reliability Engineering.
By Akash Singh Chaudhary Isha D K Chaturvedi
DOI: https://doi.org/10.5815/ijigsp.2018.07.03, Pub. Date: 8 Jul. 2018
Solar batteries are the essential component in an off-grid solar photovoltaic generation system and used for the purpose of storage. Normally lead acid batteries are used for solar applications and are placed in a battery room where the temperature must be maintained with in safe working limits. The temperature of battery depends on several factors like ambient temperature, load current drawn by the battery, sulphur deposition terminals, charging and discharging cycles. When temperature of a battery increases beyond safe limit problems of heating arises. Heating reduces the battery life and may be one of the reasons of explosion in batteries. The ambient temperature measuring device used in battery room is not sufficient to measure the heat generated by batteries. Installation of a normal camera in battery room is capable to monitor the smoke or spark in battery components but not the amount of temperature so it is also not fulfilling the need. Thermal imaging camera captures heat coming out from a battery and produces a thermal image with temperatures associated with it. This thermal image is used for representing high and low temperatures with a range of maximum and minimum values of temperature. In this paper a heated battery is identified in a battery room for solar photovoltaic generation system and thermal image analysis is performed to determine the regions of high temperature with the help of image segmentation and 3D temperature plot. The image segmentation is done using marker based watershed transform technique to achieve the heated region of interest from thermal image and 3D temperature plot shows the area of maximum temperature with location in thermal image of heated solar battery.
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