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description Publicationkeyboard_double_arrow_right Conference object , Part of book or chapter of book , Other literature type 2019Publisher:Universitat Politècnica València Authors: Cristian Chiñas-Palacios;Lina Montuori;
Carlos Afranio Vargas Salgado;Lina Montuori
Lina Montuori in OpenAIREJesús Águila-León;
Jesús Águila-León
Jesús Águila-León in OpenAIRELandfills 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.
http://ocs.editorial... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAPart of book or chapter of book . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
visibility 70visibility views 70 download downloads 97 Powered bymore_vert http://ocs.editorial... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAPart of book or chapter of book . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 SpainPublisher:Wiley Authors:Carlos Vargas-Salgado;
Edith Xio Mara García;Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIRECristian Chiñas-Palacios;
Cristian Chiñas-Palacios; +2 AuthorsCristian Chiñas-Palacios
Cristian Chiñas-Palacios in OpenAIRECarlos Vargas-Salgado;
Edith Xio Mara García;Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIRECristian Chiñas-Palacios;
Cristian Chiñas-Palacios;Cristian Chiñas-Palacios
Cristian Chiñas-Palacios in OpenAIREJesús Águila-León;
Jesús Águila-León;Jesús Águila-León
Jesús Águila-León in OpenAIREhandle: 10251/163761
[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
International Transa... arrow_drop_down International Transactions on Electrical Energy SystemsArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTAInternational Transactions on Electrical Energy SystemsJournalData sources: Microsoft Academic Graphadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 56visibility views 56 download downloads 1 Powered bymore_vert International Transa... arrow_drop_down International Transactions on Electrical Energy SystemsArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTAInternational Transactions on Electrical Energy SystemsJournalData sources: Microsoft Academic Graphadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/2050-7038.12617&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 SpainPublisher:ASTES Journal Authors:Águila-León, Jesús;
Águila-León, Jesús
Águila-León, Jesús in OpenAIREChiñas-Palacios, Cristian;
Chiñas-Palacios, Cristian
Chiñas-Palacios, Cristian in OpenAIREVargas-Salgado Carlos;
Vargas-Salgado Carlos
Vargas-Salgado Carlos in OpenAIREHurtado-Perez, Elias;
+1 AuthorsHurtado-Perez, Elias
Hurtado-Perez, Elias in OpenAIREÁguila-León, Jesús;
Águila-León, Jesús
Águila-León, Jesús in OpenAIREChiñas-Palacios, Cristian;
Chiñas-Palacios, Cristian
Chiñas-Palacios, Cristian in OpenAIREVargas-Salgado Carlos;
Vargas-Salgado Carlos
Vargas-Salgado Carlos in OpenAIREHurtado-Perez, Elias;
García, Edith Xio Mara;Hurtado-Perez, Elias
Hurtado-Perez, Elias in OpenAIREdoi: 10.25046/aj060167
handle: 10251/162102
[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.
Advances in Science,... arrow_drop_down Advances in Science, Technology and Engineering SystemsArticle . 2021 . Peer-reviewedData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BY SAData sources: Recolector de Ciencia Abierta, RECOLECTAAdvances in Science, Technology and Engineering SystemsJournalData sources: Microsoft Academic Graphadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.25046/aj060167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 22 citations 22 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 211visibility views 211 download downloads 287 Powered bymore_vert Advances in Science,... arrow_drop_down Advances in Science, Technology and Engineering SystemsArticle . 2021 . Peer-reviewedData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BY SAData sources: Recolector de Ciencia Abierta, RECOLECTAAdvances in Science, Technology and Engineering SystemsJournalData sources: Microsoft Academic Graphadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.25046/aj060167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 SpainPublisher:MDPI AG Authors:Dácil Díaz-Bello;
Dácil Díaz-Bello
Dácil Díaz-Bello in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREJesus Águila-León;
Jesus Águila-León
Jesus Águila-León in OpenAIREFabián Lara-Vargas;
Fabián Lara-Vargas
Fabián Lara-Vargas in OpenAIREdoi: 10.3390/su15032797
handle: 10251/193214
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.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/3/2797/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15032797&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 66visibility views 66 download downloads 105 Powered bymore_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/3/2797/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15032797&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 SpainPublisher:MDPI AG Authors: Mónica Camas-Náfate;Alberto Coronado-Mendoza;
Alberto Coronado-Mendoza
Alberto Coronado-Mendoza in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREJesús Águila-León;
+1 AuthorsJesús Águila-León
Jesús Águila-León in OpenAIREMónica Camas-Náfate;Alberto Coronado-Mendoza;
Alberto Coronado-Mendoza
Alberto Coronado-Mendoza in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREJesús Águila-León;
Jesús Águila-León
Jesús Águila-León in OpenAIREDavid Alfonso-Solar;
David Alfonso-Solar
David Alfonso-Solar in OpenAIREdoi: 10.3390/en17040822
handle: 10251/202784
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.
Energies arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17040822&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!
visibility 41visibility views 41 download downloads 62 Powered bymore_vert Energies arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17040822&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 SpainPublisher:Elsevier BV Authors: Edith Xio Mara García;Jesús Águila-León;
Jesús Águila-León;Jesús Águila-León
Jesús Águila-León in OpenAIRECarlos Vargas-Salgado;
+4 AuthorsCarlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREEdith Xio Mara García;Jesús Águila-León;
Jesús Águila-León;Jesús Águila-León
Jesús Águila-León in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREJulian Sotelo-Castañon;
Julian Sotelo-Castañon
Julian Sotelo-Castañon in OpenAIREElias Hurtado-Perez;
Elias Hurtado-Perez
Elias Hurtado-Perez in OpenAIRECristian Chiñas-Palacios;
Cristian Chiñas-Palacios;Cristian Chiñas-Palacios
Cristian Chiñas-Palacios in OpenAIREhandle: 10251/180906
[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
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTASustainable Computing Informatics and SystemsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
visibility 81visibility views 81 download downloads 198 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTASustainable Computing Informatics and SystemsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2022 SpainPublisher:Elsevier BV Authors:Jesús Águila-León;
Jesús Águila-León; Anders Malmquist;Jesús Águila-León
Jesús Águila-León in OpenAIRECarlos Vargas-Salgado;
+1 AuthorsCarlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREJesús Águila-León;
Jesús Águila-León; Anders Malmquist;Jesús Águila-León
Jesús Águila-León in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREDavid Alfonso-Solar;
David Alfonso-Solar
David Alfonso-Solar in OpenAIREhandle: 10251/181505
[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)
Energy arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2021.122633&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 47visibility views 47 download downloads 106 Powered bymore_vert Energy arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Elsevier BV Authors:Jesús Águila-León;
Jesús Águila-León
Jesús Águila-León in OpenAIREElias Hurtado-Perez;
Elias Hurtado-Perez
Elias Hurtado-Perez in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIRECristian Chiñas-Palacios;
Cristian Chiñas-Palacios
Cristian Chiñas-Palacios in OpenAIREThis 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.
Heliyon arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.heliyon.2019.e02474&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 53 citations 53 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 41visibility views 41 download downloads 104 Powered bymore_vert Heliyon arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.heliyon.2019.e02474&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025Publisher:MDPI AG Authors:Fabian Alonso Lara-Vargas;
Fabian Alonso Lara-Vargas
Fabian Alonso Lara-Vargas in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREJesus Águila-León;
Jesus Águila-León
Jesus Águila-León in OpenAIREDácil Díaz-Bello;
Dácil Díaz-Bello
Dácil Díaz-Bello in OpenAIREdoi: 10.3390/en18082019
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.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en18082019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en18082019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Authors:Jesús Águila-León;
Jesús Águila-León
Jesús Águila-León in OpenAIRECarlos Vargas-Salgado;
Carlos Vargas-Salgado
Carlos Vargas-Salgado in OpenAIREDácil Díaz-Bello;
Dácil Díaz-Bello
Dácil Díaz-Bello in OpenAIRECarla Montagud-Montalvá;
Carla Montagud-Montalvá
Carla Montagud-Montalvá in OpenAIREadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2024.120892&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu37 citations 37 popularity Average influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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