Rodrigo, P. M.
Main Affiliation
Preferred name
Rodrigo, P. M.
Official Name
Rodrigo Cruz, Pedro Manuel
ORCID
0000-0003-0100-6124
Researcher ID
AAT-3983-2020
Scopus Author ID
52564373300
51 results
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Item type:Publication, SCIENTIFIC PRODUCTION REPORT 2023(2023); ; - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Comparative analysis of battery energy storage systems’ operation strategies for peak shaving in industries with or without installed photovoltaic capacity(2024); Scopus© Citations 3 64 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance and economic limits of passively cooled hybrid thermoelectric generator-concentrator photovoltaic modules(2019); 1 8Scopus© Citations 101 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimum Array Spacing in Grid-Connected Photovoltaic Systems considering Technical and Economic Factors(2019)<jats:p>The performance and economics of grid-connected photovoltaic (PV) systems are affected by the array spacing. Increasing the array spacing implies reducing the impact of shading, but at the same time, it increases the land purchase/preparation costs and the wiring costs. A number of technical and economic factors are involved when selecting an optimum array spacing. Designers of PV plants often set the row-to-row spacing based on simplified rules, losing the opportunity of improving the profitability of their projects. In this paper, a comprehensive methodology for optimizing the array spacing is proposed. It is based on annual shading energy calculations and incorporates a PV energy yield model together with an economic model focused on investment costs. The method is applied to the climatic conditions in Aguascalientes, Mexico, as a case study. A sensitivity analysis allowed the impact of the technical and economic parameters involved on the optimum interrow distance to be quantified. According to the results, the most relevant technical parameters are the module tilt (often considered by the PV designers), the ratio of plant width to plant length, and the module efficiency. The main economic parameters are the land-related costs and the costs per kWp. The comparison of this methodology to a conventional rule based on the winter solstice condition shows differences in the array spacing for the same location when the multiple technical and economic parameters are considered. Therefore, the proposed method will be useful for PV designers to improve the energetic and economic behavior of their systems.</jats:p>2 14Scopus© Citations 30 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Quantification of the spectral coupling of atmosphere and photovoltaic system performance: Indexes, methods and impact on energy harvesting(2017); Scopus© Citations 56 2 7 - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Feasibility of flat-plate heat-sinks using microscale solar cells up to 10,000 suns concentrations(2019); Florencia Almonacid2 19Scopus© Citations 66 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Review of explicit models for photovoltaic cell electrical characterization(Elsevier, 2025); ; ; Valera-Albacete, ÁlvaroFor modeling solar cells, the single diode model presents difficulties in implementation and is expensive computationally because it involves a transcendental and implicit mathematical equation. Some authors have proposed explicit, easy-to-use, and computationally efficient models that approximate its behavior. It is challenging to select the proper model for each specific application because the different proposals were tested for different solar panels, operating conditions, and performance metrics, and, therefore, a direct comparison based on the published information is not possible. In this study, the existing explicit models are reviewed, presenting their equations and discussing their mathematical approximations. Four new models are introduced, and a classification of models is proposed. Furthermore, a comparative analysis of all the models under many photovoltaic technologies and operating conditions is carried out using the same performance metrics and parameter extraction method. This allows developing a framework that makes the selection of models easier for each application. The comparative results show that three models proposed by the research team are more accurate than the implicit approach, with average root mean squared errors as low as 0.41 % (versus 0.54 % error of the implicit model). However, the parameters in these models lack physical sense. Among the explicit models incorporating physical parameters and formulated with elementary functions, the most accurate is based on a first order Padé approximation (0.55 % error). The ranking of models is expected to become a valuable tool for the photovoltaic community in various solar cell modeling tasks. ©The authors ©Renewable and Sustainable Energy Reviews.1 15