Optimizing energy production in PV systems: Comprehensive review of radiation models and key factors influencing power generation

Carbajosa Fernández, Carlos ORCID: https://orcid.org/0000-0001-8201-4542, Marín Coca, Sergio ORCID: https://orcid.org/0000-0003-0737-0613, Gavira Aladro, Miguel ORCID: https://orcid.org/0009-0009-3198-670X and Martínez-Cava Aguilar, Alejandro ORCID: https://orcid.org/0000-0001-6380-7985 (2025). Optimizing energy production in PV systems: Comprehensive review of radiation models and key factors influencing power generation. "Renewable Energy", v. 249 ; ISSN 09601481. https://doi.org/10.1016/j.renene.2025.123085.

Descripción

Título: Optimizing energy production in PV systems: Comprehensive review of radiation models and key factors influencing power generation
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Renewable Energy
Fecha: 24 Abril 2025
ISSN: 09601481
Volumen: 249
Materias:
ODS:
Palabras Clave Informales: Solar trackers: Energy production; Tilt angle; Geometric optimization
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Aeronaves y Vehículos Espaciales
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper presents a comprehensive framework for optimizing the orientation and spatial configuration of horizontally mounted photovoltaic (PV) panels to maximize annual energy yield. The proposed simplified deterministic mathematical model decouples factors influencing PV performance, enabling detailed analyses of geometric and utilization efficiencies. The framework applies to both fixed and solar-tracking systems, offering practical tools for determining optimal panel orientation based on latitude. Optimal dimensionless row spacing is also identified, although usually a balancing between energy production and practical concerns such as maintenance is required. The study highlights variability in existing radiation models and their coefficients, emphasizing the need for robust, location-independent optimization methods. It evaluates the effects of modeling assumptions, such as neglecting solar cell spacing in shading analyses, and identifies conditions under which these approximations remain valid. The sensitivity analysis carried out quantifies the impact of deviations from optimal configurations, illustrating the trade-offs between precise alignment and practical constraints. Validation against empirical data and literature shows consistent trends across diverse latitudes, demonstrating that the proposed mathematical model allows for the estimation of optimal angles in a universal manner, regardless of the specific characteristics of the studied location, beyond its latitude. By introducing a global efficiency metric, the framework integrates atmospheric, geometric, and system-level factors, providing a holistic approach to PV system design. These tools support early-stage planning for both standalone and industrial-scale solar installations, enhancing energy generation efficiency. Ultimately, this study offers a versatile and widely applicable methodology for optimizing PV system performance, contributing to more effective solar energy deployment worldwide.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TED2021-130541B-C21
Sin especificar
Sin especificar
Sin especificar
Gobierno de España
PID2022-137630OB-C21
Sin especificar
Sin especificar
Sin especificar
Gobierno de España
FPU23/00716
Sin especificar
Sin especificar
Sin especificar
Gobierno de España
FPU23/00509
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 88897
Identificador DC: https://oa.upm.es/88897/
Identificador OAI: oai:oa.upm.es:88897
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10360965
Identificador DOI: 10.1016/j.renene.2025.123085
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: iMarina Portal Científico
Depositado el: 07 May 2025 09:02
Ultima Modificación: 07 May 2025 10:08