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Impact of Photovoltaic Module Temperature on Size and Voltage Stability, a Case Study in Indian Climate

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Abstract

With the growing interest in solar (photovoltaic) PV systems like standalone or grid connected, rooftop or building integrated it has become important to provide the solution for site dependent performance of the system. Since drop in voltage is more sensitive to temperature rather than rising in current, hence module temperature is key parameter to be determined accurately in order to decide the size the of the module as well overall PV size. This voltage drop also impact the DC string as well as AC side voltage. Several researchers have evaluated the impact of temperature on module performance but since it is site dependent hence an experiment is conducted in Mathura (27.4924° N, 77.6737° E) to observe the impact of module temperature on the performance of the PV system in real climate conditions. The observations are that mean square error (MSE), root mean square error (RMSE), mean bias error (MBE), standard deviation error (SDE) between simulated and experimental energy are minimum in comparison to standard approach which does not include wind effect. More over the size of the system can be reduced from 2.8 to 6% and margin of disconnection from load due to sudden disturbances like passing of clouds over the PV system is 0.14 s (7 cycles) more, provided that module temperature must be determined accurately.

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REFERENCES

  1. Dubey, S., Sarvaiya, J.N., and Seshadri, B., Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world – A review, Energy Procedia, 2013, vol. 33, pp. 311–321.

    Article  Google Scholar 

  2. Zondag, H.A., et al., The yield of different combined PV-thermal collector designs, Sol. Energy, 2003, vol. 74, no. 3, pp. 253–269.

    Article  Google Scholar 

  3. Chow, T.T., Performance analysis of photovoltaic-thermal collector by explicit dynamic model, Sol. Energy, 2003, vol. 75, no. 2, pp. 143–152.

    Article  Google Scholar 

  4. Gökmen, N., et al., Investigation of wind speed cooling effect on PV panels in windy locations, Renewable Energy, 2016, vol. 90, pp. 283–290.

    Article  Google Scholar 

  5. Schwingshackl, C., et al., Wind effect on PV module temperature: Analysis of different techniques for an accurate estimation, Energy Procedia, 2013, vol. 40, pp. 77–86.

    Article  Google Scholar 

  6. Skoplaki, E., Boudouvis, A.G., and Palyvos, J.A., A simple correlation for the operating temperature of photovoltaic modules of arbitrary mounting, Sol. Energy Mater. Sol. Cells, 2008, vol. 92, no. 11, pp. 1393–1402.

    Article  Google Scholar 

  7. Kurtz, S., et al., Evaluation of high-temperature exposure of rack-mounted photovoltaic modules, 34th IEEE Photovoltaic Specialists Conference (PVSC), 2009.

  8. Koehl, M., et al., Modeling of the nominal operating cell temperature based on outdoor weathering, Sol. Energy Mater. Sol. Cells, 2011, vol. 95, no. 7, pp. 1638–1646.

    Article  Google Scholar 

  9. Mattei, M., et al., Calculation of the polycrystalline PV module temperature using a simple method of energy balance, Renewable Energy, 2006, vol. 31, no. 4, pp. 553–567.

    Article  Google Scholar 

  10. Armstrong, S. and Hurley, W.G., A thermal model for photovoltaic panels under varying atmospheric conditions, Appl. Therm. Eng., 2010, vol. 30, nos. 11–12, pp. 1488–1495.

    Article  Google Scholar 

  11. Ayompe, L.M., et al., Measured performance of a 1.72 kW rooftop grid connected photovoltaic system in Ireland, Energy Convers. Manage., 2011, vol. 52, no. 2, pp. 816–825.

    Article  Google Scholar 

  12. Bhattacharya, T., Chakraborty, A.K., and Pal, K., Effects of ambient temperature and wind speed on performance of monocrystalline solar photovoltaic module in Tripura, India, J. Sol. Energy, 2014, id. 817078.

  13. Sanjay, A. and Tiwari, G.N., Energy and exergy analysis of hybrid micro-channel photovoltaic thermal module, Sol. Energy, 2011, vol. 85, no. 2, pp. 356–370.

    Article  Google Scholar 

  14. Mukerjee, A.K. and Thakur, N., Photo Voltaic Systems: Analysis and Design, Delhi: PHI, 2014.

    Google Scholar 

  15. Strobach, E., et al., Modeling a grid-connected concentrator photovoltaic system, Prog. Photovoltaics: Res. Appl., 2015, vol. 23, no. 5, pp. 582–592.

    Article  Google Scholar 

  16. Morjaria, M., et al., A grid-friendly plant: The role of utility-scale photovoltaic plants in grid stability and reliability, IEEE Power Energy Mag., 2014, vol. 12, no. 3, pp. 87–95.

    Article  Google Scholar 

  17. Sachin, S., Solar PV Plant Model Validation for Grid Integration Studies, Tempe, AZ: Arizona State Univ., 2014.

    Google Scholar 

  18. Subhash, C., Sanjay, A., and Chauhan, D.S., Soft computing based approach to evaluate the performance of solar PV module considering wind effect in laboratory condition, Energy Rep., 2018, vol. 4, pp. 252–259.

    Article  Google Scholar 

  19. Ceylan, İ., et al., The prediction of photovoltaic module temperature with artificial neural networks, Case Studies Therm. Eng., 2014, vol. 3, pp. 11–20.

    Article  Google Scholar 

  20. Kalogirou, S.A., Mathioulakis, E., and Belessiotis, V., Artificial neural networks for the performance prediction of large solar systems, Renewable Energy, 2014, vol. 63, pp. 90–97.

    Article  Google Scholar 

  21. Namrata, K., Sharma, S.P., and Seksena, S.B.L., Comparison of different models for estimation of diffuse solar radiation in Jharkhand (India) region, Appl. Sol. Energy, 2015, vol. 51, no. 3, pp. 219–224.

    Article  Google Scholar 

  22. Namrata, K., Sharma, S.P., and Seksena, S.B.L., Empirical models for the estimation of global solar radiation with sunshine hours on horizontal surface for Jharkhand (India), Appl. Sol. Energy, 2016, vol. 52, no. 3, pp. 164–172.

    Article  Google Scholar 

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ACKNOWLEDGMENTS

Authors are very thankful to the electrical maintenance department of the GLA University for providing the necessary data and required support about the 25 KWp Solar PV system. Besides this authors are also thankful to laboratory technical staff for their untiring efforts.

Funding

All the required equipments were purchased by Solar Energy Laboratory of Electrical Engineering department.

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Authors and Affiliations

  1. Electrical Engineering Department, GLA University, Mathura, India

    Subhash Chandra & Durg Singh Chauhan

  2. SOET, IGNOU, New Delhi, India

    Sanjay Agrawal

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  1. Subhash Chandra
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  2. Sanjay Agrawal
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  3. Durg Singh Chauhan
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Correspondence to Subhash Chandra.

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Subhash Chandra, Agrawal, S. & Chauhan, D.S. Impact of Photovoltaic Module Temperature on Size and Voltage Stability, a Case Study in Indian Climate. Appl. Sol. Energy 56, 324–333 (2020). https://doi.org/10.3103/S0003701X20050059

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  • DOI: https://doi.org/10.3103/S0003701X20050059

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