Renewable Energies, Environment & Power Quality Journal (REE&PQJ)
Volume 24, Issue 3, January 2026-> Go to Issue 4
If you want to see the articles published by RE&PQJ until 2023, click here.
141 |
247-252 Analysis of development of floating offshore wind energy I. Arrambide Department of Electrical Engineering Escuela de Ingeniería de Guipúzcoa, University of the Basque Country Donostia-San Sebastián. Spain Abstract Offshore wind energy generation has developed rapidly especially in the last decade. In some countries, despite having good wind conditions for its development, it has not been possible to implement it. This is because its continental shelf is very short, that is, the land under water in shallow seas is not wide enough to install fixed foundations. Consequently, the development of floating platforms is awakening interest in this type of generation, as is the case in Spain...READ MORE |
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253-258 |
142 |
Selection of a biocomposite material as an alternative for the manufacture of the rotor of a gravitational vortex J. Villamizar, B. Ramon, M. Vargas Faculty of Engineering and Architecture, University of Pamplona. Colombia Abstract In this research study, a polymeric matrix biocomposite reinforced with natural fibers was evaluated as an alternative for the manufacture of impeller blades for a gravitational vortex turbine. Laminates were manufactured using the manual impregnation method, combining unsaturated polyester resin with three layers of fique fiber. Density tests were conducted along with the mechanical properties of the biocomposite, and they were compared with conventional materials such as aluminum, stainless steel, and fiberglass, commonly used in the construction of impellers...READ MORE |
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259-264 |
143 |
E-maintenance in hydropower energy generation: A case G. Cortés Sanchéz(1), G. Rodríguez Gómez(1), E. Guevara Pabón(1), T. Fontani(1), I. Durán Tovar(2), L. Benavides Navarro(2), A. Marulanda Guerra(2) 1. Enel Colombia SAS O&M Hydro Colombia & Central America.Colombia 2. Universidad Escuela Colombiana de Ingeniería Julio Garavito, Bogotá. Colombia Abstract Traditionally, maintenance in the hydropowerindustry has been a labour-intensive and time-consuming process. It often relies on scheduled inspections and manual intervention. E-maintenance in hydropower plants can help to address this challenge by allowing remote monitoring and control of plant equipment, enabling timely detection and diagnosis of potential problems. This paper presents a case study of the implementation of an e-maintenance strategy for hydropower infrastructure at one of the largest generation companies in the Colombian electricity market...READ MORE |
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265-270 |
144 |
Optimal management of cooperative energy communities: A. Castro-Mérida, S. de la Torre Department of Electrical Engineering, Escuela de Ingenierías Industriales, Universidad de Málaga. Spain Abstract In this work we analyse the profitability of the agents participating in a Local Energy Community (LEC); the agents in these communities can be either passive or active. The main difference is that active agents own generating units that they need to dispatch, whereas passive agents do not own any generating units. The LEC is operated and managed by a coordinating agent that is in charge of all energy exchanges between the agents in the LEC and the external Public Electricity Network (PEN)...READ MORE |
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271-274 |
145 |
Modelling of solar power production at 65° 35' N Per Westerlund(1), Jesper Rydén(2), Nils Persson(3) 1. Electric Power Engineering. Luleå University of Technology. Sweden 2. Department of Energy and Technology. Swedish University of Agricultural Sciences. Sweden 3. Department of Engineering Sciences and Mathematics. Luleå University of Technology. Sweden Abstract Distributed generation feeds into the distributionpart of the electric grid. As it is constructed with power flows going from higher to lower voltages, there might be problems with overloading and high currents, caused by more production than consumption in the area fed by a substation. To estimate the impact of generation connected to the distribution system, there is need for a statistical description of the production. Five years of data from a solar power plant in Luleå have been analysed statistically. Also, a physical model has been applied...READ MORE |
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275-280 |
146 |
Intelligent and Optimal System for Monitoring Environmental Variables and Solar Luminosity, with solar J. Alan Calderón Ch.(1,2,3), Benjamín Barriga Gamarra(2), Julio C. Tafur Sotelo(2), Fernando Jiménez Ugarte(2) 1. Applied Nanophysics, Institute for Physics,Technical University of Ilmenau. Germany 2. Control and Automation Engineering Master Degree Program, Mechatronic Engineering Master Degree Program. Energy Laboratory Engineering Department, Pontificia Universidad Católica del Perú 3. Aplicaciones Avanzadas en Sistema Mecatrónicos JACH S. A. C. Abstract In this proposed research are analyzed generalsolutions and techniques to optimize the solar luminosity measurement by a designed smart system, as well as its usability by the solar energy conversion and its storing. However, many times, this kind of systems have not an optimal solar path tracker and as a consequence it can not be measured the full solar luminosity during all the day, therefore, in this work are designed optimal mathematical models and algorithms to enhance the solar path tracker according to measure solar luminosity and getting optimal solar energy conversion/storing, which is useful to study geographical conditions before to build solar energy conversion centers...READ MORE |
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281-286 |
147 |
Design and Implementation of Photovoltaic Electric Vehicle Charging Stations: A Case Study at Universidad Edgar Salazar, Oscar Gómez Facultad de Tecnología. Universidad Tecnológica de Pereira. Colombia Abstract As the global transportation sector transitionstowards sustainability, the need for renewable energy-powered electric vehicle (EV) charging infrastructure becomes increasingly evident. This paper presents a case study on the design and implementation of a photovoltaic electric vehicle charging stations at the Universidad Tecnológica de Pereira (Colombia)...READ MORE |
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287-289 |
148 |
Use of zero-dimensional modelling to predict performance and assess feasibility of solid oxide fuel cell-gas turbine A. Felix, C. Kalyvas Department of Engineering, School of Physics, Engineering and Computer Science, University of Hertfordshire, United Kingdom Abstract This study looks at a steady state and a dynamic model of a solid oxide fuel cell-gas turbine (SOFC-GT) system. The steady state model is used to perform a sensitivity analysis of the system’s electrical efficiency to design parameters at design point, while the dynamic model is used to predict key performance indicators across the operating range of the system...READ MORE |
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290-295 |
149 |
Parametric Study of a Large Active Area PEM Fuel Cell S. K. Das, H. Zhang Department of Mechanical Engineering. Kettering University. USA Abstract A Matlab-Simulink based mathematical model and simulation method is developed by applying appropriate physics and electro-chemistry that adequately describes a proton exchange membrane fuel cell (PEMFC) system. The mathematical model is then simulated for a single low temperature PEMFC with a large, 350cm2, active area. The single cell’s performance was evaluated using different operating conditions and varying values of various crucial system parameters...READ MORE |
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296-301 |
150 |
On the influence of the number of virtual IEDs in the data traffic of IEC61850 centralized substation protection E. Torres, N. Escobar, P. Eguia, O. Abarrategi, D.M. Larruskain, V. Valverde, G. Buigues Department of Electrical Engineering, School of Engineering of Bilbao, University of the Basque Country UPV/EHU. Spain Abstract Substation Automation Systems (SAS) are currently designed and operated based on IEC 61850 standard. This standard along with the evolution of the information processing technology brings the possibility of developing new centralized SAS architectures based on virtualized protection and control. However, communication latency must be evaluated as it can limit the scalability of virtualized SAS...READ MORE |
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302-307 |
151 |
Modelling Hourly Thermal Energy Demand: A Machine Learning Approach of Residential District Heating C. Monzani, G. Cerino Abdin, A. Poggio, G. Montanari Department of Energy Engineering. Politecnico di Torino. Italy Abstract This paper explores the application of the XGBoost machine learning model for forecasting the hourly thermal demand in District Heating Systems, aligning with the European Union’s ambitious sustainability targets as outlined in the Renewable Energy Directive (RED) and the Energy Efficiency Directive (EED). Accurate forecasts of thermal demand are crucial for enhancing the efficiency of district heating systems through the integration of renewable energy sources and the adoption of waste heat recovery, thereby contributing significantly to achieving climate neutrality by the year 2050...READ MORE |
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308-313 |
152 |
Asymmetrical Six-phase GaN-based Drive Performance Analysis with Variable Switching Frequency Control Maitane Carrasco, Amaia Lopez-de-Heredia, Irma Villar Department of Power Electronics. Ikerlan Basque Research Centre (BRTA) Arrasate, Gipuzkoa. Spain Abstract This paper analyses the performance of a GaN-based multiphase drive when a variable switching frequency control is implemented for EV applications. The GaN-based inverters allow a wide switching frequency range, and the power losses of the inverter are reduced in comparison with other technologies such as Si. To be able to benefit from this wide switching frequency range, a variable switching frequency control is implemented with the objective of maintaining a ratio frequency = 17...READ MORE |
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314-319 |
153 |
Exploring technology options for future wind energy W.-G. Früh Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Riccarton, Edinburgh. Scotland. United Kingdom Abstract This analysis aims to identify appropriate technology options for wind energy converters across all sizes by matching the sizes of the primary mover and the time scales of the extraction and conversion processes to the wind conditions as quantified by mean winds and turbulence intensity...READ MORE |
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320-326 |
154 |
Optimising energy efficiency enhancing NILM through high- C. Rodriguez-Navarro(1), F. Portillo(1), L. Castro-Santos(2), A. Filgueira-Vizoso(3), F. G. Montoya(1), A. Alcayde(1) 1. Departamento de Ingeniería. Escuela Superior de Ingeniería, University of Almeria. Spain 2. Departamento de Enxeñaría Naval e Industrial Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña. Spain 3. Departamento de Química Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña. Spain Abstract This study introduces a novel approach toenhancing energy efficiency by building a high-resolution dataset for Non-Intrusive Load Monitoring, addressing the challenges of monitoring a wide range of devices. To achieve optimal energy efficiency, it is essential to have advanced monitoring of electrical variables. In this context, the second version of openZmeter is presented, which supports up to 4 devices, each capable of 160 measurements, including voltage, current and power harmonics on each channel...READ MORE |
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327-332 |
155 |
An Adaptive Secondary Control Based on Recursive Neural Networks for Isolated Microgrids L. Rodríguez(1), A. Pantoja(1), J. Revelo(1), J. Barco-Jiménez(2) 1. Department of Electronics. University of Nariño 2. Program of Electronic Engineering. University CESMAG. Pasto. Colombia Abstract This work proposes a model reference adaptivecontrol based on recursive neural networks. This secondary-level controller corrects the deviations on the voltage and frequency setpoints of a simple primary control in an isolated microgrid (MG) with multiple distributed generators (DGs). The controller has two nonlinear autoregressive with external input neural networks to emulate the microgrid and guide the whole system according to an appropriate reference model...READ MORE |
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333-338 |
156 |
4D hybridisable interpolation methodology aimed at system modelling: application to a fuel cell blower J. Rodríguez-Góngora(1), F.J. Asensio(1), A. Ordoño(1), M. González- Pérez(1), G. Saldaña(2), O. Oñederra(2) 1. Department of Electrical Engineering. Engineering School of Gipuzkoa, University of the Basque Country (UPV/EHU) Spain 2. Department of Electrical Engineering. Engineering School of Bilbao, University of the Basque Country (UPV/EHU) Spain Abstract This paper focuses on providing an empirical model construction methodology based on Piecewise Cubic Hermite Interpolation Polynomials (PCHIP). The proposed methodology is suitable for modelling systems with high non-linearity between system parameters, process variables and/or operation variables. A detailed description of the 4D interpolation methodology is given and a practical application for a fuel cell (FC) blower black-box model obtaining is shown...READ MORE |
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339-343 |
157 |
Comparison between a surface permanent magnet synchronous motor and a segmented stator switched reluctance motor with aluminum windings for light electric Pere Andrada GAECEQS, DEE, EPSEVG. Universitat Politècnica de Catalunya UPC BARCELONATECH, Vilanova i la Geltrú. Spain Abstract Nowadays, light electric vehicles are usuallypowered by drives with motors that use rare-earth permanent magnets. Nevertheless, due to the problems these materials present, light electric vehicle manufacturers are open to considering other alternative drives free of permanent magnets...READ MORE |
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344-350 |
158 |
Fault detection and mitigation in MVDC grids using a Non- Unit Voltage Ratio Derivative Algorithm A. Blazquez(1), M.J. Pérez-Molina(2), P. Eguia(1), D.M. Larruskain(1), A. Iturregi(1), E. Torres(1) 1. Department of Electrical Engineering, Faculty of Engineering of Bilbao, Universidad del País Vasco UPV/EHU. Spain 2. Oceanic Platform of the Canary Islands (PLOCAN)) Spain Abstract Future MVDC grids will be used to reinforce thegrid infrastructure enhancing transmission capabilities, minimizing losses, and providing capability to compensate reactive power as well as to control load flows. This paper addresses the protection of MVDC grids, which is one of the main challenges to be overcome, before taking advantage of all the inherent benefits that this technology will bring...READ MORE |
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351-355 |
159 |
Detecting and Locating Corona Discharges in Low- Pressure Aircraft Environments Using Optical Sensors P. Bas-Calopa(1), J.-R. Riba(1), M. Moreno-Eguilaz(2) 1. Department of Electrical Engineering. Universitat Politècnica de Catalunya. Terrassa. Spain 2. Department of Electronics Engineering.Universitat Politècnica de Catalunya. Terrassa. Spain Abstract Today, there is a clear trend toward electrificationof transportation systems, including aircraft. Due to the enormous power requirements, they must operate at high voltages. However, the combined effect of higher voltage levels and low pressure environments is conducive to the occurrence of electrical discharges in electrical systems. Therefore, there is an urgent need to develop cost-effective systems to detect the discharges in the early stages before major failures can occur. This paper compares two optical sensors for early discharge detection in a simulated aircraft environment...READ MORE |
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356-361 |
160 |
Probabilistic short-term load forecasting models based on L.A. Fernández-Jiménez, S. Terreros-Olarte, C. Capellán-Villacián, A. Falces, E. Garcia-Garrido, P.M. Lara-Santillán, M. Mendoza-Villena, E. Zorzano-Alba, P.J. Zorzano-Santamaría Department of Electrical Engineering, E.T.S.I.I., Univerity of La Rioja, Logroño. Spain Abstract The forecasting of electric load plays an essential role in the effective management of electric power systems. Specifically, short-term models, which predict hourly load over the 24 hours of the subsequent day, hold significant value for applications within the realm of electricity markets. In this context, research efforts have predominantly concentrated on the development of point load forecasting models...READ MORE |
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