IMPACT OF PHOTOVOLTAIC SHADING ON POTATO (SOLANUM TUBEROSUM) YIELD IN AN AGRIVOLTAIC SYSTEM: A SIMULATION STUDY IN THE NILE DELTA, EGYPT

Authors

DOI:

https://doi.org/10.35631/IJIREV.826049

Keywords:

Agrivoltaics, Aquacrop, Irradiance Reduction, Nile Delta, Potato, Photovoltaic Shading

Abstract

The agrivoltaics systems delivers an opportunity to integrate solar PV energy generation with crop production in the same land, with the aim to increase land-use efficiency and to promote energy and agriculture production. However, the solar radiation received by the crops due to PV panel shading can impact the productivity of the crop. Agrivoltaic (AV) systems have been widely studied, but little research has been done concerning the effect of PV shading on potato (Solanum tuberosum) production under the climatic conditions of the Nile Delta, Egypt. In order to fill this gap, this study involved the coupling of System Advisor Model (SAM) with AquaCrop to assess the yield productivity of potato in a simulated agrivoltaic system at Kafr El Sheikh. PV performance and ground-level irradiation were estimated using SAM and the simulated irradiance data were fed into AquaCrop for the evaluation of potato growth under PV-shaded conditions. For comparison, an open-field simulation was used. The PV system's capacity factor was 21% and electricity production was about 2.1 GWh/year. Under PV shading, potato dry tuber yield decreased by about 15%, mostly because of reduced biomass accumulation, crop duration and harvest index were almost unaffected. Analysis shows a trade-off between renewable energy production and crop productivity and reveals the need to optimize the PV layout to reduce potato production losses in the Nile Delta.

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References

Ademollo, A., Ulivi, N., Ferretti, L., Serafini, F., Carcasci, C. & Pacini, C. (2026). Policy-constrained agrivoltaics in Italy: a potato case study linking shading, crop and economics. Applied Energy, 405, 127225. https://doi.org/10.1016/j.apenergy.2025.127225

Ahmadi, S. H., Reis Ghorra, M. R. & Sepaskhah, A. R. (2022). Parameterizing the AquaCrop model for potato growth modeling in a semi-arid region. Field Crops Research, 288, 108680. https://doi.org/10.1016/j.fcr.2022.108680

Ali Abaker Omer, A., Li, M., Zhang, F., Hassaan, M. M. E., El Kolaly, W., Zhang, X., Lan, H., Liu, J. & Liu, W. (2025). Impacts of agrivoltaic systems on microclimate, water use efficiency, and crop yield: A systematic review. Renewable and Sustainable Energy Reviews, 221, 115930. https://doi.org/10.1016/j.rser.2025.115930

Ali Khan Niazi, K. & Victoria, M. (2023). Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe. Progress in Photovoltaics: Research and Applications, 31(11), 1101–1113. https://doi.org/10.1002/pip.3727

Asa’a, S., Reher, T., Rongé, J., Diels, J., Poortmans, J., Radhakrishnan, H. S., van der Heide, A., Van de Poel, B. & Daenen, M. (2024). A multidisciplinary view on agrivoltaics: Future of energy and agriculture. Renewable and Sustainable Energy Reviews, 200, 114515. https://doi.org/10.1016/j.rser.2024.114515

Colauzzi, M., Sortino, G., Potenza, E., Bellone, Y., Impollonia, G., Nik Zad, A., Croci, M., Ghidesi, G., Bossenec, I. Le & Amaducci, S. (2026). Potato cultivation in agrivoltaic systems in Northern Italy: a four-year case study on array setup, shading patterns, and yield response. Smart Agricultural Technology, 14, 101989. https://doi.org/10.1016/j.atech.2026.101989

Dahal, K., Milne, M. A. & Gervais, T. (2023). The enhancement of photosynthetic performance, water use efficiency and potato yield under elevated CO2 is cultivar dependent. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1287825

Freeman, J., Katz, J. & Buonassisi, T. (2013). System Advisor Model (SAM) flat-plate PV performance validation: Technical report NREL/TP-6A20-60204. National Renewable Energy Laboratory. https://www.nrel.gov/docs/fy13osti/60204.pdf

Global Solar Atlas. (2026). Global Solar Atlas. https://globalsolaratlas.info/download/egypt

Gómez‐Ocampo, G., Cascales, J., Medina‐Fraga, A. L., Ploschuk, E. L., Mantese, A. I., Crocco, C. D., Matsusaka, D., Sánchez, D. H. & Botto, J. F. (2023). Transcriptomic and physiological shade avoidance responses in potato ( Solanum tuberosum ) plants. Physiologia Plantarum, 175(4). https://doi.org/10.1111/ppl.13991

Kurumundayil, L., Burkhardt, D., Gfüllner, L., Rupitsch, S. J., Preu, R., Berwind, M. & Demant, M. (2025). Fast ground irradiance computations for agrivoltaics via physics-informed deep learning models. Communications Engineering, 4(1), 173. https://doi.org/10.1038/s44172-025-00523-1

Laub, M., Pataczek, L., Feuerbacher, A., Zikeli, S. & Högy, P. (2022a). Contrasting yield responses at varying levels of shade suggest different suitability of crops for dual land-use systems: a meta-analysis. Agronomy for Sustainable Development, 42(3), 51. https://doi.org/10.1007/s13593-022-00783-7

Mølmann, J. & Johansen, T. J. (2026). Effects of Irradiance and Temperature on Growth and Yield in Potato cv. Gullauge. Potato Research, 69(3), 71. https://doi.org/10.1007/s11540-026-10043-w

Moretta, M., Moriondo, M., Rossi, R., Carvalho, G. M. da C. P., Padovan, G., Dal Prà, A., Palchetti, E., Argenti, G., Staglianò, N., Balingit, A. R. & Leolini, L. (2025). Integrated modelling of shading effects on alfalfa growth across different agrivoltaic systems. Frontiers in Agronomy, 7. https://doi.org/10.3389/fagro.2025.1699126

Pandey, G., Lyden, S., Franklin, E., Millar, B. & Harrison, M. T. (2025). A systematic review of agrivoltaics: productivity, profitability, and environmental co-benefits. Sustainable Production and Consumption, 56, 13–36. https://doi.org/10.1016/j.spc.2025.03.006

Pannico, A., Arouna, N., Fusco, G. M., Santoro, P., Caporale, A. G., Nicastro, R., Pagliaro, L., De Pascale, S. & Paradiso, R. (2025). Enhancing tuber yield and nutraceutical quality of potato by supplementing sunlight with LED red-blue light. Frontiers in Plant Science, 16. https://doi.org/10.3389/fpls.2025.1517074

Prakash, V., Lunagaria, M. M., Trivedi, A. P., Upadhyaya, A., Kumar, R., Das, A., Kumar Gupta, A. & Kumar, Y. (2023). Shading and PAR under different density agrivoltaic systems, their simulation and effect on wheat productivity. European Journal of Agronomy, 149, 126922. https://doi.org/10.1016/j.eja.2023.126922

Pulido-Mancebo, J. S., López-Luque, R., Fernández-Ahumada, L. M., Ramírez-Faz, J. C., Gómez-Uceda, F. J. & Varo-Martínez, M. (2022). Spatial Distribution Model of Solar Radiation for Agrivoltaic Land Use in Fixed PV Plants. Agronomy, 12(11), 2799. https://doi.org/10.3390/agronomy12112799

Puma-Cahua, J., Belizario, G., Laqui, W., Alfaro, R., Huaquisto, E. & Calizaya, E. (2023). Evaluating the Yields of the Rainfed Potato Crop under Climate Change Scenarios Using the AquaCrop Model in the Peruvian Altiplano. Sustainability, 16(1), 71. https://doi.org/10.3390/su16010071

Rai, A., Ali, N. & Dong, Y. (2025). AquaCrop modeling for sustainable potato irrigation: trade-offs between yield and crop water productivity. Frontiers in Plant Science, 16. https://doi.org/10.3389/fpls.2025.1624099

Renno, C. & Di Marino, O. (2026). Agrivoltaics Across Crops and Technologies: A Systematic Review of Experimental Tests on Yield, Microclimate, and Energy Performance. Energies, 19(2), 539. https://doi.org/10.3390/en19020539

Roberts, J. J., Mendiburu Zevallos, A. A. & Cassula, A. M. (2017). Assessment of photovoltaic performance models for system simulation. Renewable and Sustainable Energy Reviews, 72, 1104–1123. https://doi.org/10.1016/j.rser.2016.10.022

Santra, P., Meena, H. M. & Yadav, O. P. (2021). Spatial and temporal variation of photosynthetic photon flux density within agrivoltaic system in hot arid region of India. Biosystems Engineering, 209, 74–93. https://doi.org/10.1016/j.biosystemseng.2021.06.017

Schulz, V. S., Munz, S., Stolzenburg, K., Hartung, J., Weisenburger, S. & Graeff-Hönninger, S. (2019). Impact of Different Shading Levels on Growth, Yield and Quality of Potato (Solanum tuberosum L.). Agronomy, 9(6), 330. https://doi.org/10.3390/agronomy9060330

Tekie, S., Zainali, S., Zidane, T. E. K., Ma Lu, S., Guezgouz, M., Zhang, J., Amaducci, S., Dupraz, C. & Campana, P. E. (2025). Unraveling the crop yield response under shading conditions through the deployment of a drought index: A meta-analysis. Energy Nexus, 19, 100523. https://doi.org/10.1016/j.nexus.2025.100523

Wale, A., Dessie, M. & Kendie, H. (2022). Evaluating the Performance of AquaCrop Model for Potato Production Under Deficit Irrigation. Air, Soil and Water Research, 15. https://doi.org/10.1177/11786221221108216

Widmer, J., Christ, B., Grenz, J. & Norgrove, L. (2024). Agrivoltaics, a promising new tool for electricity and food production: A systematic review. Renewable and Sustainable Energy Reviews, 192, 114277. https://doi.org/10.1016/j.rser.2023.114277

Witwit, I. M. T., Al-agele, H. A. & Higgins, C. W. (2025). The effect of agrivoltaic system on nutrient content, yield, and water productivity of potatoes. Frontiers in Horticulture, 4. https://doi.org/10.3389/fhort.2025.1624013

Yajima, D., Toyoda, T., Kirimura, M., Araki, K., Ota, Y. & Nishioka, K. (2023). Agrivoltaic system: Estimation of photosynthetic photon flux density under solar panels based on solar irradiation data using all-climate solar spectrum model. Cleaner Engineering and Technology, 12, 100594. https://doi.org/10.1016/j.clet.2022.100594

Zainali, S., Ma Lu, S., Stridh, B., Avelin, A., Amaducci, S., Colauzzi, M. & Campana, P. E. (2023). Direct and diffuse shading factors modelling for the most representative agrivoltaic system layouts. Applied Energy, 339, 120981. https://doi.org/10.1016/j.apenergy.2023.120981

Zhou, D., Wang, H., Wang, X., Wang, F., Zhang, J. & Ma, D. (2024). Evaluation of AquaCrop’s Ability to Simulate Water Stress Based on 2-Year Case Study of Maize Crop. Agronomy, 14(2), 354. https://doi.org/10.3390/agronomy14020354

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Published

2026-09-28

How to Cite

Ibrahim , M. E. S. M., Adzman , M. R., & Madbouly, E. (2026). IMPACT OF PHOTOVOLTAIC SHADING ON POTATO (SOLANUM TUBEROSUM) YIELD IN AN AGRIVOLTAIC SYSTEM: A SIMULATION STUDY IN THE NILE DELTA, EGYPT. INTERNATIONAL JOURNAL OF INNOVATION AND INDUSTRIAL REVOLUTION (IJIREV), 8(26), 826–847. https://doi.org/10.35631/IJIREV.826049