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A methodology for an optimal design of ground-mounted photovoltaic power plants

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  • Barbón, A.
  • Bayón-Cueli, C.
  • Bayón, L.
  • Carreira-Fontao, V.

Abstract

A methodology for estimating the optimal distribution of photovoltaic modules with a fixed tilt angle in ground-mounted photovoltaic power plants has been described. It uses Geographic Information System, available in the public domain, to estimate Universal Transverse Mercator coordinates of the area which has been selected for the installation of the photovoltaic plant. An open-source geographic information system software, QGIS, has been used. The estimation of the solar irradiance takes into account the variations in the local cloud cover distribution. The optimization process is considered to maximize the amount of energy absorbed by the photovoltaic plant using a packing algorithm (in Mathematica™ software). This packing algorithm calculates the shading between photovoltaic modules. This methodology can be applied to any photovoltaic plant. Different rack configurations and tilt angles are incorporated in the study to account for the characteristics of the irregular shape of the land. The most used rack configurations in photovoltaic plants are the 2V×12 configuration (2 vertically modules in each row and 12 modules per row) and the 3V×8 configuration (3 vertically consecutive modules in each row and 8 modules per row). Codes and standards have been used for the structural analysis of these rack configurations. For this purpose, the wind loads, the snow loads, the weight of the structure, the weight of the photovoltaic modules, and combinations thereof have been calculated. This analysis has been performed with AutoDesk Robot Structural Analysis software for the different rack configurations. A detailed cost analysis of the most used rack configurations in photovoltaic plants has been presented. The levelized cost of the produced electricity efficiency is calculated for each rack configuration. The methodology has been applied in Sigena I photovoltaic plant located in Northeast of Spain. The current rack configuration used in this photovoltaic plant is the 2V×12 configuration with a tilt angle of 30 (°). The configurations 3V×8 configuration with a tilt angle of 14 (°) and 2V×12 configuration with a tilt angle of 22 (°) are the best options proposed by the optimization algorithm. The results show that the 3V×8 configuration with a tilt angle of 14 (°) increases the amount of energy captured by up to 32.45% in relation to the current configuration of Sigena I photovoltaic plant with a levelized cost of the produced electricity efficiency of 1.10. In the other hand, the 3V×8 configuration increases the amount of energy captured by up to 19.52% in relation to the 2V×12 configuration with a tilt angle of 22 (°) with a levelized cost of the produced electricity efficiency of 1.05. The 3V×8 configuration is the one which has the lowest cost for the same number of photovoltaic modules. The 2V×12 configuration with a tilt angle of 30 (°) increases the cost by up to 32.48% in relation to a 3V×8 configuration with a tilt angle of 14 (°).

Suggested Citation

  • Barbón, A. & Bayón-Cueli, C. & Bayón, L. & Carreira-Fontao, V., 2022. "A methodology for an optimal design of ground-mounted photovoltaic power plants," Applied Energy, Elsevier, vol. 314(C).
    • Handle: RePEc:eee:appene:v:314:y:2022:i:c:s0306261922003099
    DOI: 10.1016/j.apenergy.2022.118881
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    1. Cabrera-Tobar, Ana & Bullich-Massagué, Eduard & Aragüés-Peñalba, Mònica & Gomis-Bellmunt, Oriol, 2016. "Topologies for large scale photovoltaic power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 309-319.
    2. Zhang, Yuhu & Ren, Jing & Pu, Yanru & Wang, Peng, 2020. "Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis," Renewable Energy, Elsevier, vol. 149(C), pages 577-586.
    3. Antonanzas-Torres, F. & Urraca, R. & Polo, J. & Perpiñán-Lamigueiro, O. & Escobar, R., 2019. "Clear sky solar irradiance models: A review of seventy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 374-387.
    4. Talavera, D.L. & Muñoz-Cerón, Emilio & Ferrer-Rodríguez, J.P. & Pérez-Higueras, Pedro J., 2019. "Assessment of cost-competitiveness and profitability of fixed and tracking photovoltaic systems: The case of five specific sites," Renewable Energy, Elsevier, vol. 134(C), pages 902-913.
    5. Giamalaki, Marina & Tsoutsos, Theocharis, 2019. "Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach," Renewable Energy, Elsevier, vol. 141(C), pages 64-75.
    6. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    7. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
    8. Doorga, Jay R.S. & Rughooputh, Soonil D.D.V. & Boojhawon, Ravindra, 2019. "Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius," Renewable Energy, Elsevier, vol. 133(C), pages 1201-1219.
    9. Barbón, A. & Fortuny Ayuso, P. & Bayón, L. & Fernández-Rubiera, J.A., 2020. "Predicting beam and diffuse horizontal irradiance using Fourier expansions," Renewable Energy, Elsevier, vol. 154(C), pages 46-57.
    10. Lindberg, O. & Birging, A. & Widén, J. & Lingfors, D., 2021. "PV park site selection for utility-scale solar guides combining GIS and power flow analysis: A case study on a Swedish municipality," Applied Energy, Elsevier, vol. 282(PA).
    11. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
    12. Fan, Junliang & Chen, Baiquan & Wu, Lifeng & Zhang, Fucang & Lu, Xianghui & Xiang, Youzhen, 2018. "Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions," Energy, Elsevier, vol. 144(C), pages 903-914.
    13. Alami Merrouni, Ahmed & Elwali Elalaoui, Fakhreddine & Mezrhab, Ahmed & Mezrhab, Abdelhamid & Ghennioui, Abdellatif, 2018. "Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco," Renewable Energy, Elsevier, vol. 119(C), pages 863-873.
    14. Fthenakis, Vasilis & Kim, Hyung Chul, 2009. "Land use and electricity generation: A life-cycle analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1465-1474, August.
    15. Barbón, A. & Ayuso, P. Fortuny & Bayón, L. & Silva, C.A., 2021. "A comparative study between racking systems for photovoltaic power systems," Renewable Energy, Elsevier, vol. 180(C), pages 424-437.
    16. Conceição, Ricardo & Silva, Hugo G. & Fialho, Luis & Lopes, Francis M. & Collares-Pereira, Manuel, 2019. "PV system design with the effect of soiling on the optimum tilt angle," Renewable Energy, Elsevier, vol. 133(C), pages 787-796.
    17. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    18. Makhdoomi, Sina & Askarzadeh, Alireza, 2021. "Impact of solar tracker and energy storage system on sizing of hybrid energy systems: A comparison between diesel/PV/PHS and diesel/PV/FC," Energy, Elsevier, vol. 231(C).
    19. Chinchilla, Monica & Santos-Martín, David & Carpintero-Rentería, Miguel & Lemon, Scott, 2021. "Worldwide annual optimum tilt angle model for solar collectors and photovoltaic systems in the absence of site meteorological data," Applied Energy, Elsevier, vol. 281(C).
    20. Denholm, Paul & Margolis, Robert M., 2008. "Land-use requirements and the per-capita solar footprint for photovoltaic generation in the United States," Energy Policy, Elsevier, vol. 36(9), pages 3531-3543, September.
    21. Fernández-Infantes, Alberto & Contreras, Javier & Bernal-Agustín, José L., 2006. "Design of grid connected PV systems considering electrical, economical and environmental aspects: A practical case," Renewable Energy, Elsevier, vol. 31(13), pages 2042-2062.
    22. Yang, Ying & Campana, Pietro Elia & Stridh, Bengt & Yan, Jinyue, 2020. "Potential analysis of roof-mounted solar photovoltaics in Sweden," Applied Energy, Elsevier, vol. 279(C).
    23. Salazar, Germán & Gueymard, Christian & Galdino, Janis Bezerra & de Castro Vilela, Olga & Fraidenraich, Naum, 2020. "Solar irradiance time series derived from high-quality measurements, satellite-based models, and reanalyses at a near-equatorial site in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
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