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Dr. Carlos Vargas-Salgado
Instituto Universitario de Investigación en Ingeniería Energética (IUIEE), Univesitat Politècnica de València, Camino de vera s/n, edificio 8E, bloque F, 2º - 46022 -Valencia, Spain

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0 microgrid
0 Renewable and Sustainable Energy
0 Biomass gasification
0 Solar photocatalysis
0 renevable energy

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Journal article
Published: 07 July 2021 in Renewable Energy
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The installation of fast electric vehicle charging stations (EVCS) will be essential to promote the acceptance by the users of electric vehicles (EVs). However, if EVCS are exclusively supplied by the grid, negative impacts on its stability together with possible CO2 emission increases could be produced. Introduction of hybrid renewable energy systems (HRES) for EVCS can cope with both drawbacks by reducing the load on the grid and generating clean electricity. This paper develops a weighted multicriteria methodology to design the most suitable configuration of HRES for EVCS. This method determines the local renewable resources and the EVCS electricity demand. Then, taking into account environmental, economic and technical aspects, it deduces the most adequate HRES power generation planning for EVCS. Besides, an experimental stage to validate the design deduced from the multicriteria methodology is included. Therefore, the final power generation planning for the HRES in EVCS is supported not only by a complete numerical evaluation, but also by an experimental verification of the demand being fully covered. Methodology application to Valencia (Spain) proves that an off-grid HRES with solar PV, wind and batteries support would be the most suitable configuration for the system. This solution was also experimentally verified.

ACS Style

Paula Bastida-Molina; Elías Hurtado-Pérez; María Cristina Moros Gómez; Carlos Vargas-Salgado. Multicriteria power generation planning and experimental verification of hybrid renewable energy systems for fast electric vehicle charging stations. Renewable Energy 2021, 179, 737 -755.

AMA Style

Paula Bastida-Molina, Elías Hurtado-Pérez, María Cristina Moros Gómez, Carlos Vargas-Salgado. Multicriteria power generation planning and experimental verification of hybrid renewable energy systems for fast electric vehicle charging stations. Renewable Energy. 2021; 179 ():737-755.

Chicago/Turabian Style

Paula Bastida-Molina; Elías Hurtado-Pérez; María Cristina Moros Gómez; Carlos Vargas-Salgado. 2021. "Multicriteria power generation planning and experimental verification of hybrid renewable energy systems for fast electric vehicle charging stations." Renewable Energy 179, no. : 737-755.

Journal article
Published: 27 April 2021 in Renewable Energy
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Off grid electrification is key to achieving universal electricity access. Despite the potential of biomass gasifiers as a clean technology to ensure reliable systems, they are not as well looked upon as their advantages suggest. In particular, the software HOMER, which researchers and technicians use the most to simulate and design Microgrids, does not include biomass gasification among its simulation technologies. Although some authors did simulate biomass gasifiers in HOMER, the necessary parameters and procedures to calculate and include them in the tool remain unclear, non-replicable, and leave open research questions as regards modelling. Using the inbuilt Biogas power plant modules in HOMER, this paper presents a set of steps to include the technical and economic parameters to simulate fuelling an electric generator through the syngas produced in a downdraft biomass gasification plant. Two case studies of isolated rural communities in Honduras and Zambia show the viability of the procedure. These case studies also confirm the technical and economic viability of islanded biomass-photovoltaic hybrid renewable energy microgrids. In both cases, the energy demand supplied and distributed by the microgrid had a Levelized Cost of Energy lower than the alternative of extending the electric grid to the communities.

ACS Style

David Ribó-Pérez; Ángela Herraiz-Cañete; David Alfonso-Solar; Carlos Vargas-Salgado; Tomás Gómez-Navarro. Modelling biomass gasifiers in hybrid renewable energy microgrids; a complete procedure for enabling gasifiers simulation in HOMER. Renewable Energy 2021, 174, 501 -512.

AMA Style

David Ribó-Pérez, Ángela Herraiz-Cañete, David Alfonso-Solar, Carlos Vargas-Salgado, Tomás Gómez-Navarro. Modelling biomass gasifiers in hybrid renewable energy microgrids; a complete procedure for enabling gasifiers simulation in HOMER. Renewable Energy. 2021; 174 ():501-512.

Chicago/Turabian Style

David Ribó-Pérez; Ángela Herraiz-Cañete; David Alfonso-Solar; Carlos Vargas-Salgado; Tomás Gómez-Navarro. 2021. "Modelling biomass gasifiers in hybrid renewable energy microgrids; a complete procedure for enabling gasifiers simulation in HOMER." Renewable Energy 174, no. : 501-512.

Journal article
Published: 21 April 2021 in Renewable Energy
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Cities are expected to be protagonists of the energy transition and, among other challenges, the decarbonation of the residential consumption could greatly benefit from photovoltaic generation in the built environment. To assess its potential, the present study analyses the possibility to cover the electric demand of the city of Valencia with rooftop-installed PV panels. Specific types of buildings has been selected to study the potential of each one of them with respect to their demand and with a specific production/consumption model. The total potential energy production for the city of Valencia is estimated to be enough to satisfy the demand of domestic electricity. The economic investment scenario has been analysed (best- and worst-case scenarios), and the corresponding environmental benefits have been studied. The results of the present article are encouraging in the context of a global energy transition, necessary in the present times to keep human consumption within the planetary limits.

ACS Style

Tomás Gómez-Navarro; Tommaso Brazzini; David Alfonso-Solar; Carlos Vargas-Salgado. Analysis of the potential for PV rooftop prosumer production: Technical, economic and environmental assessment for the city of Valencia (Spain). Renewable Energy 2021, 174, 372 -381.

AMA Style

Tomás Gómez-Navarro, Tommaso Brazzini, David Alfonso-Solar, Carlos Vargas-Salgado. Analysis of the potential for PV rooftop prosumer production: Technical, economic and environmental assessment for the city of Valencia (Spain). Renewable Energy. 2021; 174 ():372-381.

Chicago/Turabian Style

Tomás Gómez-Navarro; Tommaso Brazzini; David Alfonso-Solar; Carlos Vargas-Salgado. 2021. "Analysis of the potential for PV rooftop prosumer production: Technical, economic and environmental assessment for the city of Valencia (Spain)." Renewable Energy 174, no. : 372-381.

Journal article
Published: 12 February 2021 in Energy Conversion and Management
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Agriculture and forestry crop residues represent more than half of the world's residual biomass; these residues turn into synthesis gas (syngas) and are used for power generation. Including Syngas Gensets into hybrid renewable microgrids for electricity generation is an interesting alternative, especially for rural communities where forest and agricultural waste are abundant. However, energy demand is not constant throughout the day. The variations in the energy demand provoke changes in both gasification plant efficiency and biomass consumption. This paper presents an Artificial Neural Network (ANN) based model hybridized with a Particle Swarm Optimization (PSO) algorithm for a Biomass Gasification Plant (BGP) that allows estimating the amount of biomass needed to produce the required syngas to meet the energy demand. The proposed model is compared with two traditional models of ANNs: Feed Forward Back Propagation (FF-BP) and Cascade Forward Propagation (CF-P). ANNs are trained in MATLAB software using a set of historical real data from a BGP located in the Distributed Energy Resources Laboratory of the Universitat Politècnica de València in Spain. The model performance is validated using the Mean Squared Error (MSE) and linear regression analysis. The results show that the proposed model performs 23.2% better in terms of MSE than de other models. The tunning parameters of the optimal PSO algorithm for this application were found. Finally, the model was validated to predict the necessary biomass and syngas to cover the energy demand.

ACS Style

Cristian Chiñas-Palacios; Carlos Vargas-Salgado; Jesus Aguila-Leon; Elias Hurtado-Pérez. A cascade hybrid PSO feed-forward neural network model of a biomass gasification plant for covering the energy demand in an AC microgrid. Energy Conversion and Management 2021, 232, 113896 .

AMA Style

Cristian Chiñas-Palacios, Carlos Vargas-Salgado, Jesus Aguila-Leon, Elias Hurtado-Pérez. A cascade hybrid PSO feed-forward neural network model of a biomass gasification plant for covering the energy demand in an AC microgrid. Energy Conversion and Management. 2021; 232 ():113896.

Chicago/Turabian Style

Cristian Chiñas-Palacios; Carlos Vargas-Salgado; Jesus Aguila-Leon; Elias Hurtado-Pérez. 2021. "A cascade hybrid PSO feed-forward neural network model of a biomass gasification plant for covering the energy demand in an AC microgrid." Energy Conversion and Management 232, no. : 113896.

Journal article
Published: 20 January 2021 in Sustainability
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The methods currently used for designing a fluidized bed reactor in gasification plants do not meet an integrated methodology that optimizes all the different parameters for its sizing and operational regime. In the case of small-scale (several tens of kWs biomass gasifiers), this design is especially complex, and, for this reason, they have usually been built in a very heuristic trial and error way. In this paper, an integrated methodology tailoring all the different parameters for the design and sizing of a small-scale fluidized bed gasification plants is presented. Using this methodology, a 40 kWth biomass gasification reactor was designed, including the air distribution system. Based on this design, with several simplified assumptions, a reactor was built and commissioned. Results from the experimental tests using this gasifier are also presented in this paper. As a result, it can be said the prototype works properly, and it produces syngas able to produce thermal energy or even electricity.

ACS Style

Carlos Vargas-Salgado; Elías Hurtado-Pérez; David Alfonso-Solar; Anders Malmquist. Empirical Design, Construction, and Experimental Test of a Small-Scale Bubbling Fluidized Bed Reactor. Sustainability 2021, 13, 1061 .

AMA Style

Carlos Vargas-Salgado, Elías Hurtado-Pérez, David Alfonso-Solar, Anders Malmquist. Empirical Design, Construction, and Experimental Test of a Small-Scale Bubbling Fluidized Bed Reactor. Sustainability. 2021; 13 (3):1061.

Chicago/Turabian Style

Carlos Vargas-Salgado; Elías Hurtado-Pérez; David Alfonso-Solar; Anders Malmquist. 2021. "Empirical Design, Construction, and Experimental Test of a Small-Scale Bubbling Fluidized Bed Reactor." Sustainability 13, no. 3: 1061.

Journal article
Published: 01 January 2021 in Advances in Science, Technology and Engineering Systems Journal
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ACS Style

Jesus Aguila-Leon; Cristian Chiñas-Palacios; Carlos Vargas-Salgado; Elias Hurtado-Perez; Edith Xio Mara Garcia. Particle Swarm Optimization, Genetic Algorithm and Grey Wolf Optimizer Algorithms Performance Comparative for a DC-DC Boost Converter PID Controller. Advances in Science, Technology and Engineering Systems Journal 2021, 6, 619 -625.

AMA Style

Jesus Aguila-Leon, Cristian Chiñas-Palacios, Carlos Vargas-Salgado, Elias Hurtado-Perez, Edith Xio Mara Garcia. Particle Swarm Optimization, Genetic Algorithm and Grey Wolf Optimizer Algorithms Performance Comparative for a DC-DC Boost Converter PID Controller. Advances in Science, Technology and Engineering Systems Journal. 2021; 6 (1):619-625.

Chicago/Turabian Style

Jesus Aguila-Leon; Cristian Chiñas-Palacios; Carlos Vargas-Salgado; Elias Hurtado-Perez; Edith Xio Mara Garcia. 2021. "Particle Swarm Optimization, Genetic Algorithm and Grey Wolf Optimizer Algorithms Performance Comparative for a DC-DC Boost Converter PID Controller." Advances in Science, Technology and Engineering Systems Journal 6, no. 1: 619-625.

Journal article
Published: 09 November 2020 in Sustainability
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Applications of renewable electricity in cities are mostly limited to photovoltaics, and they need other renewable sources, batteries, and the grid to guarantee reliability. This paper proposes a hybrid system, combining biomass and photovoltaics, to supply electricity to educational buildings. This system is reliable and provides at least 50% of electricity based on renewable sources. Buildings with small (< 500 kW) installed power based on renewables, mainly biomass, are usually expensive. Besides, in urban areas, photovoltaic capacity is limited due to roof availability. This paper analyzes different configurations, meeting these constraints to obtain an economically feasible solution based on photovoltaic-biomass modelling of small size hybrid systems. The technology used for biomass energy valorization is a fluidized bed gasification power plant, which has been modelled with real data obtained from experimental tests and previous research projects. Thereby, real costs and electric efficiency are included in the model. The techno-economic feasibility analysis using HOMER software with metered real load curves from an educational building has been modelled. The results of the model show that hybrid renewable systems are very feasible in the scenario of 50% of electricity contribution, however, higher contribution (>70%) implies high electricity costs.

ACS Style

David Alfonso-Solar; Carlos Vargas-Salgado; Carlos Sánchez-Díaz; Elías Hurtado-Pérez. Small-Scale Hybrid Photovoltaic-Biomass Systems Feasibility Analysis for Higher Education Buildings. Sustainability 2020, 12, 9300 .

AMA Style

David Alfonso-Solar, Carlos Vargas-Salgado, Carlos Sánchez-Díaz, Elías Hurtado-Pérez. Small-Scale Hybrid Photovoltaic-Biomass Systems Feasibility Analysis for Higher Education Buildings. Sustainability. 2020; 12 (21):9300.

Chicago/Turabian Style

David Alfonso-Solar; Carlos Vargas-Salgado; Carlos Sánchez-Díaz; Elías Hurtado-Pérez. 2020. "Small-Scale Hybrid Photovoltaic-Biomass Systems Feasibility Analysis for Higher Education Buildings." Sustainability 12, no. 21: 9300.

Research article
Published: 11 September 2020 in International Transactions on Electrical Energy Systems
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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.

ACS Style

Jesus Aguila‐Leon; Cristian Chiñas‐Palacios; Edith X. M. Garcia; Carlos Vargas‐Salgado. A multimicrogrid energy management model implementing an evolutionary game‐theoretic approach. International Transactions on Electrical Energy Systems 2020, 30, 1 .

AMA Style

Jesus Aguila‐Leon, Cristian Chiñas‐Palacios, Edith X. M. Garcia, Carlos Vargas‐Salgado. A multimicrogrid energy management model implementing an evolutionary game‐theoretic approach. International Transactions on Electrical Energy Systems. 2020; 30 (11):1.

Chicago/Turabian Style

Jesus Aguila‐Leon; Cristian Chiñas‐Palacios; Edith X. M. Garcia; Carlos Vargas‐Salgado. 2020. "A multimicrogrid energy management model implementing an evolutionary game‐theoretic approach." International Transactions on Electrical Energy Systems 30, no. 11: 1.

Conference paper
Published: 01 April 2020 in 2020 IEEE Conference on Technologies for Sustainability (SusTech)
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The Grey Wolf Optimizer (GWO) algorithm is a metaheuristic optimization method based on the hunting made by wolves in nature. In this work, the GWO algorithm was proposed for tuning a Proportional-Integral-Derivative (PID) controller parameters for a DC-DC boost converter. DC-DC boost converters are electronic devices widely used for voltage regulation in renewable energies applications, these devices need a controller, commonly a PID controller which needs to be correctly tuned to reduce the error between the reference voltage and the system output voltage. Classical PID controller tuning methods require a mathematical formulation or an empirical system response analysis, bioinspired optimization algorithms are an alternative for system design. This paper presents a performance comparative analysis between the proposed GWO algorithm, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The simulation was carried out using MATLAB/Simulink environment, then the tuned PID controller performance was evaluated using the system response analysis to variable load conditions and Root Mean Squared Error (RMSE) between reference and output voltage. Results showed that the proposed GWO algorithm has a lower RMSE compared to PSO and GA, and therefore, it could be an effective method for optimal PID controllers for power converters applications.

ACS Style

Jesus Aguila-Leon; Cristian D. Chinas-Palacios; Carlos Vargas-Salgado; Elias Hurtado-Perez; Edith X.M. Garcia. Optimal PID Parameters Tunning for a DC-DC Boost Converter: A Performance Comparative Using Grey Wolf Optimizer, Particle Swarm Optimization and Genetic Algorithms. 2020 IEEE Conference on Technologies for Sustainability (SusTech) 2020, 1 -6.

AMA Style

Jesus Aguila-Leon, Cristian D. Chinas-Palacios, Carlos Vargas-Salgado, Elias Hurtado-Perez, Edith X.M. Garcia. Optimal PID Parameters Tunning for a DC-DC Boost Converter: A Performance Comparative Using Grey Wolf Optimizer, Particle Swarm Optimization and Genetic Algorithms. 2020 IEEE Conference on Technologies for Sustainability (SusTech). 2020; ():1-6.

Chicago/Turabian Style

Jesus Aguila-Leon; Cristian D. Chinas-Palacios; Carlos Vargas-Salgado; Elias Hurtado-Perez; Edith X.M. Garcia. 2020. "Optimal PID Parameters Tunning for a DC-DC Boost Converter: A Performance Comparative Using Grey Wolf Optimizer, Particle Swarm Optimization and Genetic Algorithms." 2020 IEEE Conference on Technologies for Sustainability (SusTech) , no. : 1-6.

Conference paper
Published: 16 December 2019 in Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education
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Gamification techniques have demonstrated that students improve their learning process through mobile applications. However, every teacher creates his/her own questions for the game design, involving classroom response systems through a digital app such as Kahoot!, Socrative, Blicker, Clickers, Plickers, etc., without previous planning of the difficulty in every question formulated to the students. This work focuses on the evaluation design of a questionnaire for the final test of the Power Electronics subject, following Bloom’s Taxonomy methodology for every level of critical thinking within the cognitive domain of the learning process for students. Furthermore, an analysis of the V-Aiken for the reliability and validity of each question were taken into account. The final test implementation was carried out at Centro Universitario de Tonala, Jalisco, Mexico, involving nine students of the Energy Engineering grade of the fifth semester. The results show an analysis of the performance of the students when applying a designed test based on revised Bloom Taxonomy. It was better because the student demonstrates, in a more integral way, his/her mastery skill in different topics of the subject, while the results of the not-designed exam showed a poor student performance because all of their knowledge and skills are not evaluated when it is not applied a proper effective question.

ACS Style

Carlos Vargas Salgado; Cristian D. Chiñas Palacios; Jesús Aguila-León; Manuel Alcázar Ortega. Questionnaire design in gamification process for education: a case study at Universidad de Guadalajara – Mexico. Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education 2019, 1 .

AMA Style

Carlos Vargas Salgado, Cristian D. Chiñas Palacios, Jesús Aguila-León, Manuel Alcázar Ortega. Questionnaire design in gamification process for education: a case study at Universidad de Guadalajara – Mexico. Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education. 2019; ():1.

Chicago/Turabian Style

Carlos Vargas Salgado; Cristian D. Chiñas Palacios; Jesús Aguila-León; Manuel Alcázar Ortega. 2019. "Questionnaire design in gamification process for education: a case study at Universidad de Guadalajara – Mexico." Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education , no. : 1.

Conference paper
Published: 16 December 2019 in Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education
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This paper presents the results of implementing the Flipped Learning Agile (FLA) methodology as a general framework to manage courses and to encourage proactive learning for students in higher education levels. Flipped Learning is used in combination with Information and Communication Technologies (ICTs) to encourage the student in the self-learning process. It is proposed the integration of an Agile Methodology that includes the use of Scrum and Kanban methodologies, by means of sprints for task scheduling and using a board for activities status, into a Flipped Learning (FL) environment. The proposed FL environment is composed of applications such as YouTube, Google Classroom, and Google Drive. The Scrum methodology was designed for 4 sprints, each one for a week-long. Before applying the FLA methodology, a Motivated Strategies for Learning Questionnaire (MSLQ) was applied in a group of Electrical Circuits students at the University of Guadalajara. To examine the self-regulated learning process, the performance of the students was analysed before applying the FLA methodology; the same MSLQ was carried out after implementing the FLA methodology. The analyses of the last MSLQ show that the implementation of the FLA methodology, by means of the integration of the Agile methodologies of Scrum and Kanban into a flipped learning environment, encourage the self-learning strategy for higher education level students.

ACS Style

Carlos Vargas Salgado; Jesús Águila-León; David Ribó Pérez; Paula Bastida Molina. A Flipped Learning Agile Methodology for teaching in higher education levels. Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education 2019, 1 .

AMA Style

Carlos Vargas Salgado, Jesús Águila-León, David Ribó Pérez, Paula Bastida Molina. A Flipped Learning Agile Methodology for teaching in higher education levels. Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education. 2019; ():1.

Chicago/Turabian Style

Carlos Vargas Salgado; Jesús Águila-León; David Ribó Pérez; Paula Bastida Molina. 2019. "A Flipped Learning Agile Methodology for teaching in higher education levels." Proceedings INNODOCT/19. International Conference on Innovation, Documentation and Education , no. : 1.

Journal article
Published: 01 September 2019 in Heliyon
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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.

ACS Style

Carlos Vargas-Salgado; Jesus Aguila-Leon; Cristian Chiñas-Palacios; Elias Hurtado Perez. Low-cost web-based Supervisory Control and Data Acquisition system for a microgrid testbed: A case study in design and implementation for academic and research applications. Heliyon 2019, 5, e02474 .

AMA Style

Carlos Vargas-Salgado, Jesus Aguila-Leon, Cristian Chiñas-Palacios, Elias Hurtado Perez. Low-cost web-based Supervisory Control and Data Acquisition system for a microgrid testbed: A case study in design and implementation for academic and research applications. Heliyon. 2019; 5 (9):e02474.

Chicago/Turabian Style

Carlos Vargas-Salgado; Jesus Aguila-Leon; Cristian Chiñas-Palacios; Elias Hurtado Perez. 2019. "Low-cost web-based Supervisory Control and Data Acquisition system for a microgrid testbed: A case study in design and implementation for academic and research applications." Heliyon 5, no. 9: e02474.

Journal article
Published: 04 March 2019 in Energy Conversion and Management
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A Model Predictive Control (MPC) strategy based on the Evolutionary Algorithms (EA) is proposed for the optimal dispatch of renewable generation units and demand response in a grid-tied hybrid system. The generating system is based on the experimental setup installed in a Distributed Energy Resources Laboratory (LabDER), which includes an AC micro-grid with small scale PV/Wind/Biomass systems. Energy storage is by lead-acid batteries and an H2 system (electrolyzer, H2 cylinders and Fuel Cell). The energy demand is residential in nature, consisting of a base load plus others that can be disconnected or moved to other times of the day within a demand response program. Based on the experimental data from each of the LabDER renewable generation and storage systems, a micro-grid operating model was developed in MATLAB© to simulate energy flows and their interaction with the grid. The proposed optimization algorithm seeks the minimum hourly cost of the energy consumed by the demand and the maximum use of renewable resources, using the minimum computational resources. The simulation results of the experimental micro-grid are given with seasonal data and the benefits of using the algorithm are pointed out.

ACS Style

César Y. Acevedo-Arenas; Antonio Correcher; Carlos Sánchez-Díaz; Eduardo Ariza; David Alfonso-Solar; Carlos Vargas-Salgado; Johann F. Petit-Suárez. MPC for optimal dispatch of an AC-linked hybrid PV/wind/biomass/H2 system incorporating demand response. Energy Conversion and Management 2019, 186, 241 -257.

AMA Style

César Y. Acevedo-Arenas, Antonio Correcher, Carlos Sánchez-Díaz, Eduardo Ariza, David Alfonso-Solar, Carlos Vargas-Salgado, Johann F. Petit-Suárez. MPC for optimal dispatch of an AC-linked hybrid PV/wind/biomass/H2 system incorporating demand response. Energy Conversion and Management. 2019; 186 ():241-257.

Chicago/Turabian Style

César Y. Acevedo-Arenas; Antonio Correcher; Carlos Sánchez-Díaz; Eduardo Ariza; David Alfonso-Solar; Carlos Vargas-Salgado; Johann F. Petit-Suárez. 2019. "MPC for optimal dispatch of an AC-linked hybrid PV/wind/biomass/H2 system incorporating demand response." Energy Conversion and Management 186, no. : 241-257.

Journal article
Published: 01 November 2015 in Renewable Energy
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ACS Style

Lina Montuori; Carlos Vargas-Salgado; Manuel Alcazar-Ortega. Impact of the throat sizing on the operating parameters in an experimental fixed bed gasifier: Analysis, evaluation and testing. Renewable Energy 2015, 83, 615 -625.

AMA Style

Lina Montuori, Carlos Vargas-Salgado, Manuel Alcazar-Ortega. Impact of the throat sizing on the operating parameters in an experimental fixed bed gasifier: Analysis, evaluation and testing. Renewable Energy. 2015; 83 ():615-625.

Chicago/Turabian Style

Lina Montuori; Carlos Vargas-Salgado; Manuel Alcazar-Ortega. 2015. "Impact of the throat sizing on the operating parameters in an experimental fixed bed gasifier: Analysis, evaluation and testing." Renewable Energy 83, no. : 615-625.

Journal article
Published: 01 October 2015 in Applied Energy
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ACS Style

Elías Hurtado; Elisa Peñalvo-López; Ángel Pérez-Navarro; Carlos Vargas; David Alfonso. Optimization of a hybrid renewable system for high feasibility application in non-connected zones. Applied Energy 2015, 155, 308 -314.

AMA Style

Elías Hurtado, Elisa Peñalvo-López, Ángel Pérez-Navarro, Carlos Vargas, David Alfonso. Optimization of a hybrid renewable system for high feasibility application in non-connected zones. Applied Energy. 2015; 155 ():308-314.

Chicago/Turabian Style

Elías Hurtado; Elisa Peñalvo-López; Ángel Pérez-Navarro; Carlos Vargas; David Alfonso. 2015. "Optimization of a hybrid renewable system for high feasibility application in non-connected zones." Applied Energy 155, no. : 308-314.

Journal article
Published: 28 August 2015 in Renewable Energy
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Renewable energies are a central element in the search for energy sustainability, so they are becoming a substantial component of the energy scenario of every country, both as systems connected to the grid or in stand-alone applications. Feasibility of these renewable energy systems could be necessary not only in their application in isolated areas, but also in systems connected to the grid, in this last case when their contribution reaches a substantial fraction of the total electricity demand. To overcome this reliability problem, hybrid renewable systems could become essential and activities to optimize their design should be addressed, both in the simulation and in the experimental areas. In this paper, a laboratory to simulate and verify the reliability of hybrid renewable systems is presented and its application to the feasibility analysis of multicomponent systems including photovoltaic panels, wind generator and biomass gasification plant, plus energy storage in a battery bank, are described.

ACS Style

A. Pérez-Navarro; D. Alfonso; H.E. Ariza; J. Cárcel; A. Correcher; G. Escrivá-Escrivá; E. Hurtado; F. Ibáñez; E. Peñalvo; R. Roig; C. Roldán; C. Sánchez; I. Segura; C. Vargas. Experimental verification of hybrid renewable systems as feasible energy sources. Renewable Energy 2015, 86, 384 -391.

AMA Style

A. Pérez-Navarro, D. Alfonso, H.E. Ariza, J. Cárcel, A. Correcher, G. Escrivá-Escrivá, E. Hurtado, F. Ibáñez, E. Peñalvo, R. Roig, C. Roldán, C. Sánchez, I. Segura, C. Vargas. Experimental verification of hybrid renewable systems as feasible energy sources. Renewable Energy. 2015; 86 ():384-391.

Chicago/Turabian Style

A. Pérez-Navarro; D. Alfonso; H.E. Ariza; J. Cárcel; A. Correcher; G. Escrivá-Escrivá; E. Hurtado; F. Ibáñez; E. Peñalvo; R. Roig; C. Roldán; C. Sánchez; I. Segura; C. Vargas. 2015. "Experimental verification of hybrid renewable systems as feasible energy sources." Renewable Energy 86, no. : 384-391.

Journal article
Published: 01 March 2015 in Renewable Energy and Power Quality Journal
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ACS Style

E. Ariza; A. Correcher; C. Vargas; F. Morant. Supervision, Condition Monitoring and Fault Diagnosis System in a Hybrid Renewable Energy Systems (HRES) Laboratory. Renewable Energy and Power Quality Journal 2015, 208 -212.

AMA Style

E. Ariza, A. Correcher, C. Vargas, F. Morant. Supervision, Condition Monitoring and Fault Diagnosis System in a Hybrid Renewable Energy Systems (HRES) Laboratory. Renewable Energy and Power Quality Journal. 2015; ():208-212.

Chicago/Turabian Style

E. Ariza; A. Correcher; C. Vargas; F. Morant. 2015. "Supervision, Condition Monitoring and Fault Diagnosis System in a Hybrid Renewable Energy Systems (HRES) Laboratory." Renewable Energy and Power Quality Journal , no. : 208-212.

Conference paper
Published: 01 September 2009 in 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE)
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The performance of a biomass gasification plant for power production has been evaluated using a developed methodology based on geographical information systems to evaluate and quantify the available biomass resources and a simulation software to analyze the power production based on the data obtained from the methodology. An economic and environmental analysis has also been performed based on the simulation and methodology data. This analysis has been performed for twelve districts of the Valencian province in Spain and the main results and conclusions are presented in this paper.

ACS Style

R. Cardenas; C. Perpina; D. Alfonso; A. Perez-Navarro; E. Penalvo; C. Vargas. Technical and economical feasibility analysis of biomass gasification power plants in a Mediterranean area. 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE) 2009, 1 -5.

AMA Style

R. Cardenas, C. Perpina, D. Alfonso, A. Perez-Navarro, E. Penalvo, C. Vargas. Technical and economical feasibility analysis of biomass gasification power plants in a Mediterranean area. 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE). 2009; ():1-5.

Chicago/Turabian Style

R. Cardenas; C. Perpina; D. Alfonso; A. Perez-Navarro; E. Penalvo; C. Vargas. 2009. "Technical and economical feasibility analysis of biomass gasification power plants in a Mediterranean area." 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE) , no. : 1-5.

Journal article
Published: 31 August 2009 in Biomass and Bioenergy
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A methodology has been developed to assess optimal management and energy use of distributed biomass resources, where logistics is a main factor but other features must be also considered: biomass resources properties (quantity, quality, seasonality & availability), plant size effect, available technologies for power, heat and solid biofuels generation, CO2 emissions balance and quantification of potential biofuel consumers. This methodology provides a quantification and characterization of biomass resources, a list of optimal locations from logistic point of view and the necessary data to perform detailed technical, economic and environmental analysis of the different biomass energy use options. It has been applied to three districts of the Valencian region in Spain and main results and conclusions are also included in this paper.

ACS Style

D. Alfonso; C. Perpiñá; A. Pérez-Navarro; E. Peñalvo; C. Vargas; R. Cárdenas. Methodology for optimization of distributed biomass resources evaluation, management and final energy use. Biomass and Bioenergy 2009, 33, 1070 -1079.

AMA Style

D. Alfonso, C. Perpiñá, A. Pérez-Navarro, E. Peñalvo, C. Vargas, R. Cárdenas. Methodology for optimization of distributed biomass resources evaluation, management and final energy use. Biomass and Bioenergy. 2009; 33 (8):1070-1079.

Chicago/Turabian Style

D. Alfonso; C. Perpiñá; A. Pérez-Navarro; E. Peñalvo; C. Vargas; R. Cárdenas. 2009. "Methodology for optimization of distributed biomass resources evaluation, management and final energy use." Biomass and Bioenergy 33, no. 8: 1070-1079.

Journal article
Published: 31 March 2009 in Renewable Energy
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The aim of this study is to contribute by outlining a procedure for achieving an optimal use of agricultural and forest residue biomass. In this regard, it develops and applies a methodology focused on logistics and transport strategies that can be used to locate a network of bioenergy plants around the region. This methodology was developed using a Geographic Information Systems and it provides information on the spatial distribution of biomass residues. This is accomplished by taking into consideration the amount of residue left within a rectangle with an area of 1 km 2 , and making a regular grid overlap for the region under consideration. The centroid of each square will be evaluated and classified as “origin” (source of biomass collection) or “destination” (potential location of the bioenergy plant) depending on technical, economic, environmental and social constraints. The study focuses on mapping potential sites for tapping biomass energy and optimal locations for bioenergy plants. To identify and map optimal locations it is necessary to evaluate the time, distance and transport costs involved in the road transportation of biomass by means of a network analysis. The methodology was applied in the Valencian Community because the intense agricultural, agro-alimentary and timber activity in the region means there is a high potential for biomass.

ACS Style

C. Perpiñá; D. Alfonso; A. Pérez-Navarro; E. Peñalvo; C. Vargas; R. Cárdenas. Methodology based on Geographic Information Systems for biomass logistics and transport optimisation. Renewable Energy 2009, 34, 555 -565.

AMA Style

C. Perpiñá, D. Alfonso, A. Pérez-Navarro, E. Peñalvo, C. Vargas, R. Cárdenas. Methodology based on Geographic Information Systems for biomass logistics and transport optimisation. Renewable Energy. 2009; 34 (3):555-565.

Chicago/Turabian Style

C. Perpiñá; D. Alfonso; A. Pérez-Navarro; E. Peñalvo; C. Vargas; R. Cárdenas. 2009. "Methodology based on Geographic Information Systems for biomass logistics and transport optimisation." Renewable Energy 34, no. 3: 555-565.