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Maximum energy yield of PV surfaces in France and Italy from climate based equations for optimum tilt at different azimuth angles

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  • Memme, Samuele
  • Fossa, Marco

Abstract

In the present paper, the problem of the determination of yearly maximum energy producibility in terms of optimum tilt angle for solar surfaces is addressed with reference to 216 locations in France and Italy. Original correlations are proposed to calculate the optimal surface slope as a correction parameter to be applied to the local latitude angle. The correction factor formulas are based on local climate conditions and have been inferred from local monthly insolation data (12-year global and diffuse irradiance, PV-GIS-SARAH platform). An optimization problem is solved aimed at maximizing the yearly collectable energy by a sloped surface, in a range of azimuth values (from South Facing to East Facing), for all the selected locations. Different equation forms have been investigated and compact and accurate formulas have been developed able to provide the optimal tilt as a function of latitude, surface azimuth and clearness parameters. The accuracy of the proposed formulas resulted in a correlation coefficient with respect to the “exact” tilt angles higher than 0.93 for azimuth angles till 60°. Proposed formulas allow up to a 4% increase in collectable solar energy, corresponding, as an example, to a virtual increase in PV module efficiency from 21% to 21.8%.

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  • Memme, Samuele & Fossa, Marco, 2022. "Maximum energy yield of PV surfaces in France and Italy from climate based equations for optimum tilt at different azimuth angles," Renewable Energy, Elsevier, vol. 200(C), pages 845-866.
    • Handle: RePEc:eee:renene:v:200:y:2022:i:c:p:845-866
    DOI: 10.1016/j.renene.2022.10.019
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    References listed on IDEAS

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    2. Enrique Fuster-Palop & Carlos Prades-Gil & Ximo Masip & J. D. Viana-Fons & Jorge Payá, 2023. "Techno-Economic Potential of Urban Photovoltaics: Comparison of Net Billing and Net Metering in a Mediterranean Municipality," Energies, MDPI, vol. 16(8), pages 1-32, April.
    3. Memme, Samuele & Fossa, Marco, 2023. "Ray tracing analysis of linear Fresnel concentrators and the effect of plant azimuth on their optical efficiency," Renewable Energy, Elsevier, vol. 216(C).
    4. Boccalatte, Alessia & Thebault, Martin & Paolini, Riccardo & Fossa, Marco & Ramousse, Julien & Ménézo, Christophe & Santamouris, Mattheos, 2023. "Assessing the combined effects of local climate and mounting configuration on the electrical and thermal performance of photovoltaic systems. Application to the greater Sydney area," Renewable Energy, Elsevier, vol. 219(P1).
    5. Mauro Tucci & Antonio Piazzi & Dimitri Thomopulos, 2024. "Machine Learning Models for Regional Photovoltaic Power Generation Forecasting with Limited Plant-Specific Data," Energies, MDPI, vol. 17(10), pages 1-21, May.

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