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Techno-economic analysis of fixed versus sun-tracking solar panels

1Faculty of Finance and Accounting, The Prague University of Economics and Business, 130 67 Prague, Czech Republic

2Charles University, Environment Centre, 110 00 Prague, Czech Republic

3Faculty of Economic Sciences, University of Warsaw, 00-241 Warsaw, Poland

Received: 9 Sep 2022; Revised: 15 Apr 2023; Accepted: 6 May 2023; Available online: 12 May 2023; Published: 15 May 2023.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2023 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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The potential output of photovoltaic (PV) panels is influenced by several factors, including the direction of solar radiation from the sun toward the panel’s surface. The maximum output of the panels is obtained when the panels are vertical to the sun's rays. In this study, a techno-economic analysis is conducted to examine whether an automatic one-axis sun tracker system is an economically feasible option for installing a large-scale PV park in the Nicosia district in the central part of Cyprus. The performance of a one-axis sun tracker with an installed capacity of 781 kWp is compared to a PV system with a fixed flat structure having the same capacity and larger capacity at 1034 kWp. Output generated by the three PV system options is simulated by three alternative simulation software (SolarGIS, PVSyst, and PVGIS). Financial analysis is performed utilizing simulated PV power output, accounting for electricity feed-in tariff and overall cost of the project. The cash-flow model is run for several scenarios defined by different leverage ratios, including no leverage. Considering the technical parameters of a PV system and solar panel characteristics, such as the degradation effect on solar panel efficiency and solar radiation, we estimate the solar tracking system produces about 20%–30% more energy compared to a fixed structure. We find both technologies are economically viable options, however, a one-axis tracker system performs better financially. LCOE in all scenarios is below the highest acceptable level for solar PV projects in Cyprus which is 103 EUR per MWh. LCOE for a solar tracker PV is 39 EUR per MWh with a 30% leverage ratio and up to 79 EUR per MWh with 85% leverage. LCOE for a sun-tracker is ~20% lower than LCOE for a PV with a fixed axis of comparable size. Despite higher investment costs, the solar tracking PV system performs with a 12% higher equity internal rate of return, and a 9% shorter loan payback period compared to the same installed power of a fixed structure. The Financial analysis is complemented by quantified benefits due to avoided carbon emissions. Accounting for carbon benefits makes a sun-tracker PV system economically a better option over the fixed tracker PV system, resulting in 228,000 EUR more benefits. Overall, the present value of net benefits of a solar-tracker PV amounts to 1.39 mil. EUR and due to high irradiation in Cyprus, the carbon footprint of PV power output represents only 6% of the footprint of generating electricity in thermal power plants. When these benefits are accounted for the sum of NPV and social benefits will turn out to be higher for a one-axis tracker compared to the total social benefits of a fixed tracker of the same size.

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Keywords: financial analysis; photovoltaic; sun-tracking system; solar energy; LCOE; carbon emission
Funding: Prague University of Economics and Business under contract grant number F1/62/2020; The Czech Science Foundation under contract grant number 19-26812X

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  1. Abdallah, S. (2004). The effect of using sun tracking systems on the voltage–current characteristics and power generation of flat plate photovoltaics. Journal of Energy Conversion and Management, 45 (11-12),1671–1679.
  2. AL-Rousan, N., Ashidi Mat N., Mat Desa, Kh. (2018) Advances in solar photovoltaic tracking systems: A review, Renewable and Sustainable Energy Reviews, 82(3), 2548-2569.
  3. Al-Ghussain, L., Abujubbeh, M., & Fahrioglu, M. (2018). Assessment of PV investment in Northern Cyprus. 16th International Conference on Clean Energy (ICCE-2018), 9-11 May 2018, Famagusta, N. Cyprus.
  4. Ameur, A., Berrada, A., Loudiyi, K., Aggour, M., (2020) Forecast modeling and performance assessment of solar PV systems. J. Clean. Prod. 267, 122167.
  5. Aquino Larico, E. R., & Gutierrez, A. C. (2022). Solar Tracking System with Photovoltaic Cells: Experimental Analysis at High Altitudes. International Journal of Renewable Energy Development, 11(3), 630-639.
  6. Asiabanpour, B., Almusaied, Z., Aslan, S., Mitchell, M., Leake, E., Lee, H., Fuentes, J., Rainosek, K., Hawkes, N., Bland, A. (2017). Fixed versus sun tracking solar panels: An economic analysis. Clean Technol. Environ. Policy. 19, 1195–1203.
  7. Awasthi, A., Kumar, A., Manohar, M., Dondaria, C., Shukla, K. N., Porwar, D., & Richhariya, P. (2020). Review on sun tracking technology in solar PV system. Journal of Energy Reports, 6, 392-405.
  8. Bahrami, A., Okoye, CO., & Atikol, U. (2017). Technical and economic assessment of fixed, single and dual-axis tracking PV panels in low latitude countries. Renewable Energy, 113, 563-576.
  9. Baouche, F.Z., Abderezzak, B., Ladmi, A., Arbaoui, K., Suciu, G., Mihaltan, T.C., Raboaca, M.S., Hudisteanu, S.V., Turcanu, F.E. (2022). Design and Simulation of a Solar Tracking System for PV. Applied Science, 12, 9682.
  10. Batac, K. I. T., Collera, A. A., Villanueva, R. O., & Agaton, C. B. (2022). Decision Support for Investments in Sustainable Energy Sources Under Uncertainties. International Journal of Renewable Energy Development, 11(3), 801-814.
  11. Berisha, X., Zeqiri, A., & Meha, D. (2018). Determining the Optimum Tilt Angles to Maximise the Incident Solar Radiation - Case of Study Pristina. International Journal of Renewable Energy Development, 7(2), 123-130.
  12. Boehm, S., L. Jeffery, K. Levin, J. Hecke, C. Schumer, C. Fyson, A. Majid, J. Jaeger, A. Nilsson, S. Naimoli, J. Thwaites, E. Cassidy, K. Lebling, M. Sims, R. Waite, R. Wilson, S. Castellanos, N. Singh, A. Lee, and A. Geiges. 2022. State of Climate Action (2022). Berlin and Cologne, Germany, San Francisco, CA, and Washington, DC: Bezos Earth Fund, Climate Action Tracker, Climate Analytics, ClimateWorks Foundation, NewClimate Institute, the United Nations Climate Change High-Level Champions, and World Resources Institute.
  13. De Wild Scholten M., Cassagne V., Huld T. (2014), Solar Resources and Carbon Footprint of Photovoltaic Power in Different Regions in Europe. In Conference Proceedings: Proceedings of the 29th EUPVSEC. Munich (Germany): WIP, 3421-3430. JRC89270.
  14. Dehnhardt, A., Grothmann, T., Wagner, J. (2022), Cost-benefit analysis: What limits its use in policy making and how to make it more usable? A case study on climate change adaptation in Germany, Environmental Science and Policy 137, 53–60.
  15. Ebenhoch, R., Matha, D., Marathe, S., Muñoz, P.C., Molins, C. (2015), Comparative Levelized Cost of Energy Analysis, Energy Procedia, 80, 108 – 122.
  16. Ebhota, W. S., and Tabakov, P. Y. (2022). Impact of Photovoltaic Panel Orientation and Elevation Operating Temperature on Solar Photovoltaic System Performance. International Journal of Renewable Energy Development, 11(2), 591-599.
  17. El Hammoumi, A., Chtita, S., Motahhir, S., El. Ghzizal, A. (2022) Solar PV energy: From material to use, and the most commonly used techniques to maximise the power output of PV systems: A focus on solar trackers and floating solar panels, Energy Reports 8,11992–12010.
  18. Eke, R., & Senturk, A. (2012). Performance comparison of a double-axis sun tracking versus fixed PV system. J. of Solar Energy, 86, 2665-2672.
  19. European Commission, Directorate-General for Mobility and Transport, Essen, H., Fiorello, D., El Beyrouty, K. (2020). Handbook on the external costs of transport : version 2019 – 1.1, Publications Office.
  20. Fan, L., Gu, B., & Luo, M. (2020). A cost-benefit analysis of fuel-switching vs hybrid scrubber installation: A container route through the Chinese SECA case. J. of Transport Policy, 99, 336-344.
  21. García, H. A. , Duke, A. R., and Flores, H.Y. (2020) Techno-economic comparison between photovoltaic systems with solar trackers and fixed structure in “El Valle de Sula” , Honduras, 6th International Conference on Advances in Environment Research, IOP Conf. Ser.: Earth Environ. Sci. 776 012011.
  22. Gönül, Ö., Yazar, F., Duman, A.C., Güler, Ö. (2022) A comparative techno-economic assessment of manually adjustable tilt mechanisms and automatic solar trackers for behind-the-meter PV applications. Renew. Sustain. Energy Rev. 168, 112770.
  23. Guno, C. S., Agaton, C. B., Villanueva, R. O., & Villanueva, R. O. (2021). Optimal Investment Strategy for Solar PV Integration in Residential Buildings: A Case Study in The Philippines. International Journal of Renewable Energy Development, 10(1), 79-89.
  24. Hafez, A.Z., Yousef, A.M., Harag, N.M. (2018), Solar tracking systems: Technologies and trackers drive types – A review, Renewable and Sustainable Energy Reviews, 91, 754-782,.
  25. Hassan, M.U., Saha, S., Haque, M. E. (2021). PVAnalytX: A MATLAB toolkit for techno-economic analysis and performance, evaluation of rooftop PV systems. Energy, 223, 120074.
  26. Hassan Al Garni, A. A. (2017). Techno-Economic Feasibility Analysis of a Solar PV GridConnected System with Different Tracking Using HOMER Software. August 2017, Engineering2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE).
  27. Heysela, C. S., Filion, Y. R., (2014), Estimating the payback period of in-line micro turbines with analytical probabilistic models, Procedia Engineering, 70, 815 – 822.
  28. Huang, B., Huang, Y., Chen, G., Hsu, P., & Li, K. (2013). Improving solar PV system efficiency using one-axis 3-position sun tracking. Energy Procedia, 33, 280–287.
  29. EIB (2023), EIB Project Carbon Footprint Methodologies. Methodologies for the assessment of project greenhouse gas emissions and emission variations - Version 11.3 (January 2023), European Investment Bank, Luxembourg, 2023.
  30. IPCC. 2022. Climate Change 2022: Mitigation of Climate Change—Contribution of Working Group III to the Sixth Assess ment Report of the Intergovernmental Panel on Climate Change. Edited by P.R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. vanDiemen, D. McCollum, . Cambridge: Cambridge University Press.
  31. IRENA. 2022. Renewable Capacity Statistics 2022. Abu Dhabi: The International Renewable Energy Agency.
  32. Jose, P.J., Akbari, P., Dhokiya, J., Ajmera, Z., Pandya, V., Jani, Y.N., Ravalia, A., Keshvani, MJ. (2022), Solar tracking: The best alternative to obtain more solar power output, Materials Today: Proceedings, 67(6), 921-926.
  33. Kassem, Y., Al-Zoubi, R., Gökçekuş, H. (2019) The Possibility of Generating Electricity Using Small-Scale Wind Turbines and Solar Photovoltaic Systems for Households in Northern Cyprus: A Comparative Study. Environ. 6(4), 47.
  34. Kassem,Y., Çamur, H. and Awadh Alhuoti, S.M. (2020), Solar Energy Technology for Northern Cyprus: Assessment, Statistical Analysis, and Feasibility Study, Energies, 13, 940;
  35. Khadidjaa, B., Drisa, K., Boubekerb, A., & Noureddinec, S. (2014). Optimisation of a solar tracker system for photovoltaic power plants in Saharian region, example of Ouargla. J. of Energy Procedia, 50, 610 – 618.
  36. Khamharnphol, R., Kamdar, I., Waewsak, J., Chiwamongkhonkarn, S., Khunpetcha, S., Kongruang, C., & Gagnon, Y. (2023). Techno-Economic Assessment of a 100 kWp Solar Rooftop PV System for Five Hospitals in Central Southern Thailand. International Journal of Renewable Energy Development, 12(1), 77-86.
  37. Lewandoski, C., F., Santos, R., F., Sio, J., P., M., K., da Costa Canfild, D., do Carmo, M., B., da Silva, F., M., Siqueira, J., de Oliveira, W., Ikpehai, A., Romeu, R. (2022). Study of the Efficiency of the Solar Tracker System compared to the Fixed Solar Generation System. Research, Society and Development. 11. e6711628671.
  38. Loth, E., Qin, C., Simpson, J., G., Dykes, K. (2022), Why we must move beyond LCOE for renewable energy design, Advances in Applied Energy, 8, 100112.
  39. Lopez-Prol, J. and Steininger, K.W. (2020) Photovoltaic self-consumption is now profitable in Spain: Effects of the new regulation on prosumers’ internal rate of return, Energy Policy, 146.
  40. Lu, Z., Hasselström, L., Finnveden, G., Johansson, N. (2022), Cost-benefit analysis of two possible deposit-refund systems for reuse and recycling of plastic packaging in Sweden, Cleaner Waste Systems, 3, 100048.
  41. Hamdi, B.R.D.M., Dewi, T., Rusdianasari, R. (2019), Performance Comparison of 3 Kwp Solar Panels Between Fixed and Sun Tracking in Palembang – Indonesia, 6th International Conference on Sustainable Agriculture, Food and Energy. 347, 012131.
  42. Ouria, M. and Sevinc, H. (2018), Evaluation of the potential of solar energy utilisation in Famagusta, Cyprus, Sustainable Cities and Society, 37, 189-202.
  43. Marcel, S. and Tomáš, C. (2012) SolarGIS: New web-based service offering solar radiation data and PV simulation tools for Europe, North Africa and Middle East. Eurosun2012.
  44. Moradi, H., Abtahi, A., & Messenger, R. (2016). Annual performance comparison between tracking and fixed photovoltaic arrays. 2016 IEEE Conference on Photovoltaic Specialists, Portland, US.
  45. Nsengiyumva, W., Chen, S.G., Hu, L., Chen, X. (2018). Recent advancements and challenges in Solar Tracking Systems (S.T.S.): A review. Renew. Sustain. Energy Rev. 81, 250–279.
  46. Parrado, C., Girard, A., Simon, F., Fuentealba, E. (2016) 2050 LCOE (levelized cost of energy) projection for a hybrid PV (photovoltaic)-CSP (concentrated solar power) plant in the Atacama Desert, Chile. J. of Energy, 94, 422-430.
  47. Poullikkas, A. (2009). Parametric cost-benefit analysis for the installation of photovoltaic parks in the island of Cyprus. J. of Energy Policy, 37(9), 3673-3680.
  48. Rečka, L., Máca, V., Ščasný, M. (2023). Green Deal and Carbon Neutrality Assessment of Czechia. Energies 16, (5), 2152.
  49. Rodrıguez-Gallegos, C., Liu, H., Gandhi, O., Prakash, Singh J., Krishnamurthy, V., Kumar, A., S. Stein, J., Wang, S., Li, L., Reindl, T., & Marius Peters, J. (2020). Global techno-economic performance of bifacial and tracking photovoltaic systems. Joule, 4(7), 1514–1541.
  50. Sadat-Mohammadi, M., Nazari-Heris, M., Nafisi, H., Abedi, M., (2018), A Comprehensive Financial Analysis for Dual-Axis Sun Tracking System in Iran Photovoltaic Panels, 2018 Smart Grid Conference (SGC).
  51. Salas, I.V., Grases, M., Débor, P., Espadas,C., Grases, C., E. Olías, (2010).Comparison between two 1 kW PV Grid-Connected Systems (One with a new tracker and one fixed). IEEE Photovoltaic Specialists Conference Spain.
  52. Solar Power World (2016), Advantages and disadvantages of a solar tracker system. SPW. Accessed on May 9, 2016.
  53. Shufat, S. A. A., Kurt, E., & Hancerlioğulları, A. (2019). Modeling and Design of Azimuth-Altitude Dual Axis Solar Tracker for Maximum Solar Energy Generation. International Journal of Renewable Energy Development, 8(1), 7-13.
  54. Tafazoli, M., Salimi, M., Zeinalidanaloo, S., Mashayekh, J., Amidpour, M. (2023). Techno-Economic Analysis of Electricity Generation by Photovoltaic Power Plants Equipped with Trackers in Iran. Energies, 16, 235.
  55. Talavera, D.L., Muñoz-Cerón, E., Ferrer-Rodríguez, J.P., Pérez-Higueras, P.J. (2019). Assessment of cost-competitiveness and profitability of fixed and tracking photovoltaic systems: The case of five specific sites. Renew. Energy, 134, 902–913.
  56. Tarigana, E., Djuwaria, Purbab, L. (2014) Assessment of PV Power Generation for Household in Surabaya Using SolarGIS–pvPlanner Simulation, Energy Procedia 47, 85 – 93.
  57. Tseng, K. H., Wang, Ch. Y., Lin, G-H., (2019), Effect of the Sun Elevation for Fixed PV System and Single-Axis-Tracking PV System. IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA), Tokyo, Japan, 2019, pp. 805-809;

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