Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering
19
Scopus Publications
Scopus Publications
Proposal for an Energy Efficiency Index for Green Hydrogen Production—An Integrated Approach Luciano T. Barbosa, Pedro A. C. Rosas, José F. C. Castro, Samuel D. Vasconcelos, Paulo H. R. P. Gama, et al. Energies, 2025 In the context of mounting concerns over carbon emissions and the need to accelerate the energy transition, green hydrogen has emerged as a strategic solution for decarbonizing hard-to-abate sectors. This paper introduces a methodological innovation by proposing the Green Hydrogen Efficiency Index (GHEI), a unified and quantitative framework that integrates multiple stages of the hydrogen value chain into a single comparative metric. The index encompasses six core criteria: electricity source, water treatment, electrolysis efficiency, compression, end-use conversion, and associated greenhouse gas emissions. Each are normalized and weighted to reflect different performance priorities. Two weighting profiles are adopted: a first profile, which assigns equal importance to all criteria, referred to as the balanced profile, and a second profile, derived using the analytic hierarchy process (AHP) based on structured expert judgment, named the AHP profile. The methodology was developed through a systematic literature review and was applied to four representative case studies sourced from the academic literature, covering diverse configurations and geographies. The results demonstrate the GHEI’s capacity to distinguish the energy performance of different green hydrogen routes and support strategic decisions related to technology selection, site planning, and logistics optimization. The results highlight the potential of the index to contribute to more sustainable hydrogen value chains and advance decarbonization goals by identifying pathways that minimize energy losses and maximize system efficiency.
Spectral Density Analysis of Wind Power Fast Fluctuations in a Wind Farm With DFIG and DD Turbines Pablo Luiz Tabosa Da Silva, Pedro Rosas, José Filho Da Costa Castro, Douglas Contente Pimentel Barbosa, Ronaldo Ribeiro Barbosa de Aquino, et al. IEEE Access, 2025 The analysis of wind power fluctuations is essential for strategic decisions, such as turbine generation control or the sizing of spinning reserves and energy storage systems. This study aims to characterize rapid power fluctuations in a wind farm located in northeastern Brazil, composed of turbines with Doubly-Fed Induction Generator (DFIG) and Direct Drive (DD) technologies, using power spectral density (PSD) analysis. The origin and magnitude of the fluctuations are examined, as well as the smoothing effect resulting from turbine aggregation. It was found that, despite the different technologies, after the smoothing process, rapid fluctuations still account for an average of 4.89% of the total power generation.
Assessment of Green Hydrogen as Energy Supply Alternative for Isolated Power Systems and Microgrids Luciano T. Barbosa, Samuel D. Vasconcelos, Pedro A. C. Rosas, José F. C. Castro, Douglas C. P. Barbosa Energies, 2024 The energy supply for isolated systems remains a current challenge in Brazil and worldwide, particularly when known solutions are compared regarding their cost, ability to supply energy on demand, and sustainability. In this context, green hydrogen, which has been considered one of the main paths for the decarbonization of the energy chain, is also seen as a potential energy supply solution in isolated systems. Based on a literature review of articles addressing the topics of green hydrogen and isolated systems, an analysis is conducted on the application of green hydrogen as an energy supply solution for isolated systems. The review identified and collected data on important parameters for comparing solutions, such as CAPEX, OPEX, energy cost, and the price per kilogram of hydrogen. Using these data, analyses were performed to provide an overview of the application of green hydrogen in isolated systems. One of the objectives of this work is to present a comprehensive analysis of the green hydrogen chain and its application in the context of electricity generation, particularly for isolated systems in Brazil.
Detection of Eyebolt Faults Using aRandom Forest Ensemble Model Based on MultipleHigh-Frequency Electromagnetic Parameters H. V. H. Silva Filho, R.G. M. dos Santos, Douglas C. P. Barbosa, M. T. de Melo, Lauro R. G. S. Lourenço Novo Journal of Microwaves Optoelectronics and Electromagnetic Applications, 2023 This paper presents an eyebolt structural fault detection system, based on the analysis of multiple electromagnetic parameters through a random forest classifier trained by both measurements and high-fidelity simulated signals. The proposed methodology is completely noninvasive and does not require the disassembly of the electrical infrastructure, allowing the live-line working. The obtained results show that the proposed multi-parameter strategy achieves high accuracy and increases the system’s capability of detecting faults, improving the efficiency of the operator’s preventive maintenance routines and, consequently, increasing the reliability of the power supply and energy distribution systems.
Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System Pablo L. Tabosa da Silva, Pedro A. Carvalho Rosas, José F. C. Castro, Davidson da Costa Marques, Ronaldo R. B. Aquino, et al. Energies, 2023 This work discusses the use of a battery energy storage system applied to the smoothing of power generated at the output of wind turbines based on a fuzzy logic power control. The fuzzy control logic proposed can perform the aforementioned activity while the state of charge of the energy storage system is maintained within operational limits. In order to assess the fuzzy logic power control’s effectiveness at maintaining the state of charge levels within the allowed range, two operating situations are explored: one in which the state of charge is above the upper limit allowed, and another in which the state of charge is in the minimum value allowed. The numerical results show that, when using the battery energy storage system in conjunction with the control logic proposed, the active power provided as the point of common coupling by the wind turbines can be smoothed, thus contributing to the Electric Power System reliability and stability. The main results of this paper are based on measurements of wind and active power associated with a wind generation plant installed in the northeast region of Brazil and equipped with 2.1 MW wind turbines.
Analysis of a Microwave Filter Parameters for Design Optimization via Machine Learning J. A. I. Araujo, Amanda G. Barboza, Ignacio Llamas-Garro, P. H. B. Cavalcanti Filho, Camila Da S. Cavalcanti, et al. 20th SBMO IEEE MTT S International Microwave and Optoelectronics Conference Imoc 2023, 2023 Microwave filters are essential for filtering and selecting frequencies. They prevent interference, enhance signal quality, and maximize the efficiency of microwave systems. They are widely employed in wireless communications, satellites, and radar systems. To optimize the design of these filters, techniques like machine learning can be utilized, saving time and resources compared to simulations. Machine learning learns from data to discover optimized solutions more swiftly and efficiently, leading to high-performance filters. In this work, analyses of the parameters of a T-inverted filter were performed to serve as a foundation for a machine learning-based design. The filter used was designed and manufactured for a frequency range of 1 GHz to 3 GHz and its measured and simulated results were compared as a way of validating the structure.
Bandpass Filter Using Open Loop Microstrip Resonators for a Power Substation Eyebolt Fault Detection System Hawson V. H. Silva Filho, José M. A M. De Oliveira, Amanda G. Barboza, Leonardo M. Silva, M. T. De Melo, et al. 20th SBMO IEEE MTT S International Microwave and Optoelectronics Conference Imoc 2023, 2023 Eyebolts are metal parts used to support mechanical efforts of heavy structures. These eyebolts may present material loss, either through abrasion or corrosive processes on their surface. Detecting this undesirable condition requires the use of systems which applies non-destructive techniques, since the eyebolt is embedded in concrete. A previous detection system was developed by the authors where its response requires greater sensitivity. This article presents the computational design of a band-pass filter from a microstrip resonator to reduce mismatching losses at the experiment input and the measuring instrument. The designed filter has presented satisfactory results as an adapter for the fault detection system. The simulation results of the fault detection system has presented different responses for distinct eyebolt samples, and thus enabling the desired classifying of them.
Control and optimization of a smart antenna array by PSO José Mario Alexandre Melo Oliveira, Daniel Felipe Lins Cabral de Melo, Crislane Priscila do Nascimento Silva, Antônio Jerônimo Belfort de Oliveira, Douglas Contente Pimentel Barbosa, et al. International Journal of Applied Electromagnetics and Mechanics, 2022 This paper describes an array of eight Yagi–Uda antennas, a beamforming circuit (BFC) and an antenna control system (ACS), which form a switched smart antenna structure, the principal feature of which is that its main lobe is maximized using the particle swarm optimization (PSO) method, while its side lobes are minimized. The application of the PSO integrated with the 3D electromagnetic simulation software Ansys HFSS has achieved excellent results, and has been validated in practical experiments. The results measured in the open field are in agreement with the simulations and are comparable with the arrangement of the energy distribution concessionaires. As expected, the gains obtained proved to be greater when the main lobes were pointed toward the objective angles. These characteristics meet the needs of supervisory control systems used by electricity distribution companies, which require high-gain RF communication networks in order to monitor electric switches in a distant area covered by the respective base transceiver stations. The entire setup herein described and tested has performed extremely well, and is certainly a promising approach by which to control the outstations of electricity distribution companies without the need to install additional repeaters.
