Solar Photovoltaic Potential and Environmental Performance in Tropical Urban Thailand: A Secondary-Data Assessment of Pak Kret, Nonthaburi

Authors

  • Tamon Boontho Suankularb Wittayalai Nonthaburi School, Thailand
  • Tankhun Chunheed Suankularb Wittayalai Nonthaburi School, Thailand
  • Supakorn Suniwatcharanuporn Suankularb Wittayalai Nonthaburi School, Thailand
  • Pongkit Ekvitayavetchanukul The Board of Khon Kaen University Affairs, Khon Kaen University, Thailand https://orcid.org/0000-0001-6109-5726

DOI:

https://doi.org/10.54536/ajise.v5i3.8726

Keywords:

Environmental Factors, Rooftop Solar, Solar Irradiance, Solar Photovoltaic, Tropical Climate

Abstract

Solar photovoltaic (PV) systems are increasingly important for sustainable energy development in tropical countries, where high solar availability is accompanied by environmental conditions that may influence system performance. This study assessed solar PV potential and key environmental constraints in Pak Kret, Nonthaburi, Thailand, using publicly available secondary data and a narrative synthesis of relevant scientific literature. Annual solar-resource indicators obtained from the Global Solar Atlas were evaluated together with environmental factors including solar irradiance, temperature, relative humidity, dust and soiling, wind, shading, and panel tilt. The study area showed a Global Horizontal Irradiation (GHI) of 1,800.6 kWh/m²/year and a Global Tilted Irradiation (GTI) of 1,851.1 kWh/m²/year. Estimated photovoltaic power output (PVOUT) was 1,452.6 kWh/kWp/year, corresponding to approximately 3.98 kWh/kWp/day and an approximate capacity factor of 16.6%. The optimal annual panel tilt was 15°, at which GTI was approximately 2.8% higher than horizontal irradiation. Evidence from the literature indicates that high module temperature, humidity, dust accumulation, and shading may reduce PV performance, whereas wind can improve thermal dissipation. Overall, Pak Kret has favorable potential for rooftop PV deployment; however, system design should account for local thermal and environmental constraints. Because the analysis is based on modeled secondary data rather than field measurements, the findings should be interpreted as a preliminary location-specific assessment and validated through future on-site monitoring.

Downloads

Download data is not yet available.

References

Adinoyi, M. J., & Said, S. A. M. (2013). Effect of dust accumulation on the power outputs of solar photovoltaic modules. Renewable Energy, 60, 633-636. https://doi.org/10.1016/j.renene.2013.06.014

Appels, R., Lefevre, B., Herteleer, B., Goverde, H., Beerten, A., Paesen, R., De Medts, K., Driesen, J., & Poortmans, J. (2013). Effect of soiling on photovoltaic modules. Solar Energy, 96, 283-291. https://doi.org/10.1016/j.solener.2013.07.017

Batzelis, E. I., Georgilakis, P. S., & Papathanassiou, S. A. (2015). Energy models for photovoltaic systems under partial shading conditions: A comprehensive review. IET Renewable Power Generation, 9(4), 340-349. https://doi.org/10.1049/iet-rpg.2014.0207

Benghanem, M. (2011). Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia. Applied Energy, 88(4), 1427-1433. https://doi.org/10.1016/j.apenergy.2010.10.001

Calabrò, E. (2009). Determining optimum tilt angles of photovoltaic panels at typical north-tropical latitudes. Journal of Renewable and Sustainable Energy, 1(3), 033104. https://doi.org/10.1063/1.3148272

De Soto, W., Klein, S. A., & Beckman, W. A. (2006). Improvement and validation of a model for photovoltaic array performance. Solar Energy, 80(1), 78-88. https://doi.org/10.1016/j.solener.2005.06.010

Department of Alternative Energy Development and Efficiency. (2017). Project for improving Thailand’s solar energy potential map using satellite imagery [Thai-language report]. Ministry of Energy, Thailand. https://data.go.th/dataset/item_087dadb0-4ad2-4acf-890f-fbc6c2d2e730

Department of Alternative Energy Development and Efficiency. (2023). Solar energy potential map of Thailand from satellite data (2020). Ministry of Energy, Thailand. https://gis.dede.go.th/gallery-map-view.aspx?p=93

Department of Alternative Energy Development and Efficiency. (2024a). Thailand energy statistics 2023 [Thai-language report]. Ministry of Energy, Thailand.

Department of Alternative Energy Development and Efficiency. (2024b). Solar electricity generation: Technology transfer and dissemination of solar-energy utilization [Thai-language technical guide]. Ministry of Energy, Thailand.

Dubey, S., Sarvaiya, J. N., & Seshadri, B. (2013). Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world-A review. Energy Procedia, 33, 311-321. https://doi.org/10.1016/j.egypro.2013.05.072

Energy Sector Management Assistance Program. (2019). Global Solar Atlas 2.0 technical report. World Bank. https://documents1.worldbank.org/curated/en/529431592893043403/pdf/Global-Solar-Atlas-2-0-Technical-Report.pdf

Ekvitayavetchanukul, P., & Ekvitayavetchanukul, P. (2025). Artificial intelligence-driven design thinking: Enhancing learning efficiency in pre-medical education. Educación XX1, 28(1), 728–747. https://doi.org/10.5944/vol28n1a51

Faiman, D. (2008). Assessing the outdoor operating temperature of photovoltaic modules. Progress in Photovoltaics: Research and Applications, 16(4), 307-315. https://doi.org/10.1002/pip.813

Günerhan, H., & Hepbasli, A. (2007). Determination of the optimum tilt angle of solar collectors for building applications. Building and Environment, 42(2), 779-783. https://doi.org/10.1016/j.buildenv.2005.09.012

Huld, T., Gottschalg, R., Beyer, H. G., & Topič, M. (2010). Mapping the performance of PV modules, effects of module type and data averaging. Solar Energy, 84(2), 324-338. https://doi.org/10.1016/j.solener.2009.12.002

Huld, T., Müller, R., & Gambardella, A. (2012). A new solar radiation database for estimating PV performance in Europe and Africa. Solar Energy, 86(6), 1803-1815. https://doi.org/10.1016/j.solener.2012.03.006

Jacobson, M. Z., & Jadhav, V. (2018). World estimates of PV optimal tilt angles and ratios of sunlight incident upon tilted and tracked PV panels relative to horizontal panels. Solar Energy, 169, 55-66. https://doi.org/10.1016/j.solener.2018.04.030

Kacira, M., Simsek, M., Babur, Y., & Demirkol, S. (2004). Determining optimum tilt angles and orientations of photovoltaic panels in Sanliurfa, Turkey. Renewable Energy, 29(8), 1265-1275. https://doi.org/10.1016/j.renene.2003.12.014

Kiatsoongsong, P., & Ekvitayavetchanukul, P. (2025). Associations Between Daily PM2.5 Exposure and Respiratory Symptoms in Thai Adolescents: Evidence from Nonthaburi Province. American Journal of Environment and Climate, 4(3), 59-68. https://doi.org/10.54536/ajec.v4i3.5093

Kitsana Intadet, Phongphon Dupong, Ronnkrit Kumsook, Punnika Anuchartbutara, Pongkit Ekvitayavetchanukul. Effect of Airflow Velocity on Cooling Rate of Heated Water: A Comparative Experimental Study Between 3-Blade and 5-Blade Electric Fans. European Journal of Applied Science, Engineering and Technology, 2026, 4(3), pp.86-94. ⟨https://doi.org/10.59324/ejaset.2026.4(3).09.

Köhl, M., Heck, M., Wiesmeier, S., & Wirth, J. (2011). Modeling of the nominal operating cell temperature based on outdoor weathering. Solar Energy Materials and Solar Cells, 95(7), 1638-1646. https://doi.org/10.1016/j.solmat.2011.01.020

Mani, M., & Pillai, R. (2010). Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations. Renewable and Sustainable Energy Reviews, 14(9), 3124-3131. https://doi.org/10.1016/j.rser.2010.07.065

Mekhilef, S., Saidur, R., & Kamalisarvestani, M. (2012). Effect of dust, humidity and air velocity on efficiency of photovoltaic cells. Renewable and Sustainable Energy Reviews, 16(5), 2920-2925. https://doi.org/10.1016/j.rser.2012.02.012

Mehleri, E. D., Zervas, P. L., Sarimveis, H., Palyvos, J. A., & Markatos, N. C. (2010). Determination of the optimal tilt angle and orientation for solar photovoltaic arrays. Renewable Energy, 35(11), 2468-2475. https://doi.org/10.1016/j.renene.2010.03.006

Rujopakan, P., Jundaboot, S., & Ekvitayavetchanukul, P. (2024). Impact of Room Colors and Construction Materials on Temperature Distribution in Tropical Climate: An Experimental Study in Nonthaburi, Thailand. International Journal of Social Science and Human Research. https://doi.org/10.47191/ijsshr/v7-i12-38

Saraswat, M., Singh, J., Dandotiya, M., Ekvitayavetchanukul, P., Rana, M., & Singh, B. (2026). Deep learning approaches for optimizing renewable energy generation and consumption forecasting in smart grids. In S. Das, M. Paprzycki, A. Ghosh, & M. Bianchini (Eds.), Advanced computing and intelligent technologies: ICACIT 2024 (Lecture Notes in Networks and Systems, Vol. 1359). Springer. https://doi.org/10.1007/978-981-96-4933-4_21

Sarver, T., Al-Qaraghuli, A., & Kazmerski, L. L. (2013). A comprehensive review of the impact of dust on the use of solar energy: History, investigations, results, literature, and mitigation approaches. Renewable and Sustainable Energy Reviews, 22, 698-733. https://doi.org/10.1016/j.rser.2012.12.065

Sayyah, A., Horenstein, M. N., & Mazumder, M. K. (2014). Energy yield loss caused by dust deposition on photovoltaic panels. Solar Energy, 107, 576-604. https://doi.org/10.1016/j.solener.2014.05.030

Schwingshackl, C., Petitta, M., Wagner, J. E., Belluardo, G., Moser, D., Castelli, M., Zebisch, M., & Tetzlaff, A. (2013). Wind effect on PV module temperature: Analysis of different techniques for an accurate estimation. Energy Procedia, 40, 77-86. https://doi.org/10.1016/j.egypro.2013.08.010

Silpakorn University, & Department of Alternative Energy Development and Efficiency. (2018). Improvement of Thailand’s solar-energy potential assessment using satellite data [Final research report, Thai language]. Ministry of Energy, Thailand.

Singh, B., Ekvitayavetchanuku, P., Shah, B., Sirohi, N., & Pundhir, P. (2024). IoT-based shoe for enhanced mobility and safety of visually impaired individuals. EAI Endorsed Trans. Internet Things, 10, 1-19.

Singh, J., Thakur, H. K., Dandotiya, M., Ekvitayavetchanukul, P., Rana, M., & Singh, B. (2026). Deep learning-based solar tracking system for maximizing solar power generation efficiency. In S. Das, M. Paprzycki, A. Ghosh, & M. Bianchini (Eds.), Advanced computing and intelligent technologies: ICACIT 2024 (Lecture Notes in Networks and Systems, Vol. 1359). Springer. https://doi.org/10.1007/978-981-96-4933-4_28

Skoplaki, E., & Palyvos, J. A. (2009a). On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. Solar Energy, 83(5), 614-624. https://doi.org/10.1016/j.solener.2008.10.008

Skoplaki, E., & Palyvos, J. A. (2009b). Operating temperature of photovoltaic modules: A survey of pertinent correlations. Renewable Energy, 34(1), 23-29. https://doi.org/10.1016/j.renene.2008.04.009

Srivastava, A., Singh, J., Dandotiya, M., Ekvitayavetchanukul, P., Rana, M., & Singh, B. (2026). Integrating UAV imagery and deep learning models for automated crop health monitoring and analysis. In J. C. Bansal, S. Borah, S. Hussain, & S. Salhi (Eds.), Computing and machine learning: CML 2025 (Lecture Notes in Networks and Systems, Vol. 1613). Springer. https://doi.org/10.1007/978-981-95-2875-2_31

Teepun, K., Polpetch, N. Srikaue, T., & Ekvitayavetchanukul, P. (2026). Behavioral and Clinical Correlates of Frequent Self-Reported Sleep Bruxism Among Thai Participants: A Cross-Sectional Study. American Journal of Physical Education and Health Science, 4(2), 56-66. https://doi.org/10.54536/ajpehs.v4i2.8230

Yakup, M. A. B. H. M., & Malik, A. Q. (2001). Optimum tilt angle and orientation for solar collector in Brunei Darussalam. Renewable Energy, 24(2), 223-234. https://doi.org/10.1016/S0960-1481(00)00168-3

Yotooratai, G. (2023). Study on the efficiency of a vertical solar photovoltaic power generation system [Master’s thesis, Thammasat University]. https://ethesisarchive.library.tu.ac.th/thesis/2023/TU_2023_6509031552_18994_28911.pdf

Downloads

Published

2026-10-06

How to Cite

Boontho, T. ., Chunheed, T. ., Suniwatcharanuporn, S. ., & Ekvitayavetchanukul, P. . (2026). Solar Photovoltaic Potential and Environmental Performance in Tropical Urban Thailand: A Secondary-Data Assessment of Pak Kret, Nonthaburi. American Journal of Innovation in Science and Engineering , 5(3), 43-48. https://doi.org/10.54536/ajise.v5i3.8726

Similar Articles

21-30 of 37

You may also start an advanced similarity search for this article.