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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Cristian Chiñas-Palacios; orcid Lina Montuori;
    Lina Montuori
    ORCID
    Harvested from ORCID Public Data File

    Lina Montuori in OpenAIRE
    Carlos Afranio Vargas Salgado; orcid Jesús Águila-León;
    Jesús Águila-León
    ORCID
    Harvested from ORCID Public Data File

    Jesús Águila-León in OpenAIRE

    Landfills are one of the most common ways to dispose the solid urban waste in many countries due to their relatively simple technical requirements, operational costs and low investment. Moreover, biogas produced in landfills can be used as a renewable energy source for power generation. The Valencian Region is one of the largest solid urban waste producers in Spain, and therefore, it has an unexplored potential of landfill biogas production. This paper aims to estimate the potential of biogas landfill production for power generation in the Valencian Region. Statistical data from solid urban waste in landfills in the provinces of Alicante, Castellón, and Valencia was gathered. Then the potential of landfill biogas production was estimated by means of waste classification for each province. To provide information related to the use of landfill gas as an alternative source of energy, results presented in this work show that the Valencian Region has an important potential to use landfill biogas from solid urban waste as a renewable source for power generation, and also provide information to the regional government, academic researches, policy makers and investors.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://ocs.editorial...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    http://ocs.editorial.upv.es/in...
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Recolector de Ciencia Abierta, RECOLECTA
    Part of book or chapter of book . 2019
    License: CC BY NC ND
    https://doi.org/10.4995/carpe2...
    Conference object . 2019 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://ocs.editorial...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      http://ocs.editorial.upv.es/in...
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Recolector de Ciencia Abierta, RECOLECTA
      Part of book or chapter of book . 2019
      License: CC BY NC ND
      https://doi.org/10.4995/carpe2...
      Conference object . 2019 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid Carlos Vargas-Salgado;
    Carlos Vargas-Salgado
    ORCID
    Harvested from ORCID Public Data File

    Carlos Vargas-Salgado in OpenAIRE
    Edith Xio Mara García; orcid Cristian Chiñas-Palacios;
    Cristian Chiñas-Palacios
    ORCID
    Harvested from ORCID Public Data File

    Cristian Chiñas-Palacios in OpenAIRE
    Cristian Chiñas-Palacios; +2 Authors

    [EN] Microgrids (MGs) are widely increasing to manage unequal electrical load requirements based on the infrastructure. The goal of this article is to manage energy in a centralized controller multimicrogrid (MMG) system operated at islanded mode. Renewable energy fluctuations in MG due to weather conditions build oscillation in MG operation modes. To solve this, a three-stage energy management MMG system is proposed. The proposed system is composed of operating mode prediction by measuring the weather conditions. In islanded mode, energy management is incorporated using a two-round fuzzy-based speed (TRFS) algorithm followed by evolutionary game theory and status updating by Markov chain. The TRFS algorithm takes into account voltage, frequency, power factor, total harmonic distortion, and loss of produced power probability parameters. The parallel processing of the TRFS algorithm reduces processing time, then a Stackelberg game with a quasi-oppositional symbiotic organisms search approach is carried out for power exchange. Markov chain based future prediction of MG states ensures detection of MG operating mode along with weather changes. Simulations are developed in MATLAB Simulink, and their outcomes show better performance than previous work whose results are evaluated in terms of load and generator output at two modes, power generated at individual MG and exchanged power. Consejo Nacional de Ciencia y Tecnologia, Grant/Award Number: 486670

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ International Transa...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    International Transactions on Electrical Energy Systems
    Article . 2020 . Peer-reviewed
    License: Wiley Online Library User Agreement
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ International Transa...arrow_drop_down
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      International Transactions on Electrical Energy Systems
      Article . 2020 . Peer-reviewed
      License: Wiley Online Library User Agreement
      Data sources: Crossref
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid Águila-León, Jesús;
    Águila-León, Jesús
    ORCID
    Harvested from ORCID Public Data File

    Águila-León, Jesús in OpenAIRE
    orcid Chiñas-Palacios, Cristian;
    Chiñas-Palacios, Cristian
    ORCID
    Harvested from ORCID Public Data File

    Chiñas-Palacios, Cristian in OpenAIRE
    orcid Vargas-Salgado Carlos;
    Vargas-Salgado Carlos
    ORCID
    Harvested from ORCID Public Data File

    Vargas-Salgado Carlos in OpenAIRE
    orcid bw Hurtado-Perez, Elias;
    Hurtado-Perez, Elias
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Hurtado-Perez, Elias in OpenAIRE
    +1 Authors

    [EN] Power converters are electronic devices widely applied in industry, and in recent years, for renewable energy electronic systems, they can regulate voltage levels and actuate as interfaces, however, to do so, is needed a controller. Proportional-Integral-Derivative (PID) are applied to power converters comparing output voltage versus a reference voltage to reduce and anticipate error. Using PID controllers may be complicated since must be previously tuned prior to their use. Many methods for PID controllers tunning have been proposed, from classical to metaheuristic approaches. Between the metaheuristic approaches, bio-inspired algorithms are a feasible solution; Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are often used; however, they need many initial parameters to be specified, this can lead to local solutions, and not necessarily the global optimum. In recent years, new generation metaheuristic algorithms with fewer initial parameters had been proposed. The Grey Wolf Optimizer (GWO) algorithm is based on wolves¿ herds chasing habits. In this work, a comparison between PID controllers tunning using GWO, PSO, and GA algorithms for a Boost Converter is made. The converter is modeled by state-space equations, and then the optimization of the related PID controller is made using MATLAB/Simulink software. The algorithm¿s performance is evaluated using the Root Mean Squared Error (RMSE). Results show that the proposed GWO algorithm is a feasible solution for the PID controller tunning problem for power converters since its overall performance is better than the obtained by the PSO and GA. The authors wish to thank the Institute of Energy Engineering of the Polytechnic University of Valencia, Spain, and the Department of Water and Energy Studies of the University of Guadalajara, Mexico, for all their support and collaboration.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Advances in Science,...arrow_drop_down
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    RiuNet
    Article . 2021
    License: CC BY SA
    Data sources: RiuNet
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Advances in Science,...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      RiuNet
      Article . 2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid Dácil Díaz-Bello;
    Dácil Díaz-Bello
    ORCID
    Harvested from ORCID Public Data File

    Dácil Díaz-Bello in OpenAIRE
    orcid Carlos Vargas-Salgado;
    Carlos Vargas-Salgado
    ORCID
    Harvested from ORCID Public Data File

    Carlos Vargas-Salgado in OpenAIRE
    orcid bw Jesus Águila-León;
    Jesus Águila-León
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Jesus Águila-León in OpenAIRE
    orcid Fabián Lara-Vargas;
    Fabián Lara-Vargas
    ORCID
    Harvested from ORCID Public Data File

    Fabián Lara-Vargas in OpenAIRE

    Renewable power capacity sets records annually, driven by solar photovoltaic power, which accounts for more than half of all renewable power expansion in 2021. In this sense, photovoltaic system design must be correctly defined before system installation to generate the maximum quantity of energy at the lowest possible cost. The proposed study analyses the oversizing of the solar array vs. the capacity of the solar inverter, seeking low clipping losses in the inverter. A real 4.2 kWp residential PV installation was modelled and validated using the software SAM and input data from different sources, such as a weather station for weather conditions, ESIOS for electricity rates, and FusionSolar to obtain energy data from the PV installation. Once data were validated through SAM, the DC to AC ratio was varied between 0.9 and 2.1. The azimuth and slope sensitivity analyses were performed regarding clipping inverter losses. Results have been evaluated through the energy generated and the discounted payback period, showing that, depending on the weather conditions, slope, and azimuth, among others, it is advisable to increase the DC to AC ratio to values between 1.63 and 1.87, implying low discounted payback periods of about 8 to 9 years. In addition, it was observed that inverter clipping losses significantly vary depending on the defined azimuth and slope.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sustainabilityarrow_drop_down
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mónica Camas-Náfate; orcid Alberto Coronado-Mendoza;
    Alberto Coronado-Mendoza
    ORCID
    Harvested from ORCID Public Data File

    Alberto Coronado-Mendoza in OpenAIRE
    orcid Carlos Vargas-Salgado;
    Carlos Vargas-Salgado
    ORCID
    Harvested from ORCID Public Data File

    Carlos Vargas-Salgado in OpenAIRE
    orcid Jesús Águila-León;
    Jesús Águila-León
    ORCID
    Harvested from ORCID Public Data File

    Jesús Águila-León in OpenAIRE
    +1 Authors

    In recent years, the modeling and simulation of lithium-ion batteries have garnered attention due to the rising demand for reliable energy storage. Accurate charge cycle predictions are fundamental for optimizing battery performance and lifespan. This study compares particle swarm optimization (PSO) and grey wolf optimization (GWO) algorithms in modeling a commercial lithium-ion battery, emphasizing the voltage behavior and the current delivered to the battery. Bio-inspired optimization tunes parameters to reduce the root mean square error (RMSE) between simulated and experimental outputs. The model, implemented in MATLAB/Simulink, integrates electrochemical parameters and estimates battery behavior under varied conditions. The assessment of terminal voltage revealed notable enhancements in the model through both the PSO and GWO algorithms compared to the non-optimized model. The GWO-optimized model demonstrated superior performance, with a reduced RMSE of 0.1700 (25 °C; 3.6 C, 455 s) and 0.1705 (25 °C; 3.6 C, 10,654 s) compared to the PSO-optimized model, achieving a 42% average RMSE reduction. Battery current was identified as a key factor influencing the model analysis, with optimized models, particularly the GWO model, exhibiting enhanced predictive capabilities and slightly lower RMSE values than the PSO model. This offers practical implications for battery integration into energy systems. Analyzing the execution time with different population values for PSO and GWO provides insights into computational complexity. PSO exhibited greater-than-linear dynamics, suggesting a polynomial complexity of O(nk), while GWO implied a potential polynomial complexity within the range of O(nk) or O(2n) based on execution times from populations of 10 to 1000.

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    Energies
    Article . 2024 . Peer-reviewed
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    Energies
    Article . 2024
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    RiuNet
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      Energies
      Article . 2024 . Peer-reviewed
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      Energies
      Article . 2024
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    Authors: Edith Xio Mara García; orcid Jesús Águila-León;
    Jesús Águila-León
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    Jesús Águila-León in OpenAIRE
    Jesús Águila-León; orcid Carlos Vargas-Salgado;
    Carlos Vargas-Salgado
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    Carlos Vargas-Salgado in OpenAIRE
    +4 Authors

    [EN] A residential load management system equips smart meters (SMs) to measure load utilization at residencies. SM reports electricity usage based on electronic appliances. In this paper, a smart residential load management system is designed by three-fold along with the provisioning of consumer security. Load management encompasses load categorizing by Hopfield neural network, fuzzy-logic based bill payments identification and load state prediction using Markov chain. Residential load is based on three classes: active load, affordable load and inactive load. The estimation of residential load ensures to manage the load at residency either to turn off the load or intimate excess consumption of electricity. The registered consumers of a specific residency are enabled to receive load status by Internet of Things (IoT) devices. SMs at residencies periodically compute the electricity manipulation and those readings are encrypted using hybrid blowfish and elliptic curve cryptography algorithm with considering the behavior information from IoT device and partial key storage assists security, even if the device is theft. This smart residential security assisted load management (SRS-LM) system is developed in network simulator 3 and the results showed improvements in terms of power usage, load power, peak load reduction, total power consumption, power cost and computation time This work was Supported by National Council of Science and Technology (CONACYT) through the pH.D. scholarship 705018. The authors would like to thank the University of Guadalajara, Mexico, and the Polytechnic University of Valencia, Spain, for all the collaboration and realization of this paper

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    Sustainable Computing Informatics and Systems
    Article . 2021 . Peer-reviewed
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      Sustainable Computing Informatics and Systems
      Article . 2021 . Peer-reviewed
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    Authors: orcid Jesús Águila-León;
    Jesús Águila-León
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    Jesús Águila-León in OpenAIRE
    Jesús Águila-León; Anders Malmquist; orcid Carlos Vargas-Salgado;
    Carlos Vargas-Salgado
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    Carlos Vargas-Salgado in OpenAIRE
    +1 Authors

    [EN] Syngas produced from small-scale biomass gasification plants (tens of kW) can generate power from biomass resources. However, due to the syngas gensets demand is marginal, compared to gasoline gensets, it is not easy to find a genset specially designed to run on syngas. In this paper, an experimental study of a genset running on two kinds of fuel has been carried out. The genset used is a 10 kW ICE initially designed to run on gasoline, in parallel, simulations based on CHEMKIN-PRO software were made. The study focuses on the comparison of the ICE operation independently working on gasoline and syngas. Modifications were required in the genset to adapt the intake system to run on syngas. The syngas is obtained from a gasifier. According to the test, it is possible to convert a gasoline engine to a 100% syngas engine through straightforward modifications in the inlet manifold but reducing the efficiency and power. The electrical power running the genset on gasoline was 6.7 kW, whereas, with syngas, it is 4.8 kW (31.4% of reduction). The efficiency running the ICE on gasoline was 13.7% at its rated power, whereas for the genset fuelled on syngas, it was 10.5% (23.4% reduction). This work was completed in the framework of the activities of the Renewable Area research group of the Instituto Universitario de Investigacion en Ingeniería Energética (IUIIE) of Universitat Politecnica de Valencia and by the project "Microred Inteligente Híbrida de Energías Renovables para solucionar el Trilema AguaAlimentacion-Energía en una comunidad rural de Honduras (Task ID 2020_ACDE_000306)

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    Energy
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    RiuNet
    Article . 2022
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    Energy
    Article . 2022 . Peer-reviewed
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      Energy
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      Energy
      Article . 2022 . Peer-reviewed
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    Authors: orcid Jesús Águila-León;
    Jesús Águila-León
    ORCID
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    Jesús Águila-León in OpenAIRE
    orcid Elias Hurtado-Perez;
    Elias Hurtado-Perez
    ORCID
    Harvested from ORCID Public Data File

    Elias Hurtado-Perez in OpenAIRE
    orcid Carlos Vargas-Salgado;
    Carlos Vargas-Salgado
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    Carlos Vargas-Salgado in OpenAIRE
    orcid Cristian Chiñas-Palacios;
    Cristian Chiñas-Palacios
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    Cristian Chiñas-Palacios in OpenAIRE

    This paper presents the design and implementation of a low-cost Supervisory Control and Data Acquisition system based on a Web interface to be applied to a Hybrid Renewable Energy System (HRES) microgrid. This development will provide a reliable and low-cost control and data acquisition systems for the Renewable Energy Laboratory at Universitat Politècnica de València (LabDER-UPV) in Spain, oriented to the research on microgrid stability and energy generation. The developed low-cost SCADA operates on a microgrid that incorporates a photovoltaic array, a wind turbine, a biomass gasification plant and a battery bank as an energy storage system. Sensors and power meters for electrical parameters, such as voltage, current, frequency, power factor, power generation, and energy consumption, were processed digitally and integrated into Arduino-based devices. A master device on a Raspberry-PI board was set up to send all this information to a local database (DB), and a MySQL Web-DB linked to a Web SCADA interface, programmed in HTML5. The communications protocols include TCP/IP, I2C, SPI, and Serial communication; Arduino-based slave devices communicate with the master Raspberry-PI using NRF24L01 wireless radio frequency transceivers. Finally, a comparison between a standard SCADA against the developed Web-based SCADA system is carried out. The results of the operative tests and the cost comparison of the own-designed developed Web-SCADA system prove its reliability and low-cost, on average an 86% cheaper than a standard brandmark solution, for controlling, monitoring and data logging information, as well as for local and remote operation system when applied to the HRES microgrid testbed.

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    Heliyon
    Article . 2019 . Peer-reviewed
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    Heliyon
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    PubMed Central
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    Authors: orcid Fabian Alonso Lara-Vargas;
    Fabian Alonso Lara-Vargas
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    orcid Carlos Vargas-Salgado;
    Carlos Vargas-Salgado
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    orcid Jesus Águila-León;
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    Accurate temperature prediction in bifacial photovoltaic (PV) modules is critical for optimizing solar energy systems. Conventional models face challenges to balance accuracy, interpretability, and computational efficiency. This study addresses these limitations by introducing a symbolic regression (SR) framework based on genetic algorithms to model nonlinear relationships between environmental variables and module temperature without predefined structures. High-resolution data, including solar radiation, ambient temperature, wind speed, and PV module temperature, were collected at 5 min intervals over a year from a 19.9 MW bifacial PV plant with trackers in San Marcos, Colombia. The SR model performance was compared with multiple linear regression, normal operating cell temperature (NOCT), and empirical regression models. The SR model outperformed others by achieving a root mean squared error (RMSE) of 4.05 °C, coefficient of determination (R2) of 0.91, Spearman’s rank correlation coefficient of 0.95, and mean absolute error (MAE) of 2.25 °C. Its hybrid structure combines linear ambient temperature dependencies with nonlinear trigonometric terms capturing solar radiation dynamics. The SR model effectively balances accuracy and interpretability, providing information for modeling bifacial PV systems.

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    Energies
    Article . 2025 . Peer-reviewed
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    Authors: orcid bw Jesús Águila-León;
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    orcid Carlos Vargas-Salgado;
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    orcid Dácil Díaz-Bello;
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
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    Article . 2024 . Peer-reviewed
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