http://repositorio.ufc.br/handle/riufc/464 Thu, 11 Jun 2026 19:47:35 GMT 2026-06-11T19:47:35Z http://repositorio.ufc.br/handle/riufc/86725 Título: Platform for optimization and sizing of hybrid photovoltaic-battery systems for industrial decarbonization Autor(es): Guerra, Lucca Lemos Costa Abstract: Battery Energy Storage Systems (BESS) have been experiencing accelerated growth worldwide, driven by electrification, the expansion of intermittent renewable energy sources, and the increasing need for operational flexibility in the power sector. In this context, this work develops and implements a computational platform for the sizing and optimization of hybrid photovoltaicbattery systems (PV-BESS), aimed at industrial decarbonization. The methodology is based on a Mixed-Integer Linear Programming (MILP) optimization model, implemented in Python using the Pyomo library. The tool was validated using real data from a medium-sized industry located in the state of Ceará, Brazil, classified as a Group A consumer (high voltage), with an annual electricity consumption of approximately 1.4 GWh. The model simultaneously considers energy, operational, and economic aspects, including capital investment costs (CAPEX), electricity consumption tariffs, grid energy injection/compensation, and peakhour operation. As the main methodological differentiator, the sizing can be conducted according to two distinct operational profile approaches, associated with the user’s desired level of risk aversion. The f irst approach is based on a critical day, using the 95th percentile (P95) to model demand and restricting photovoltaic generation to the 10th percentile (P10) of historical solar irradiance, with an additional safety margin, resulting in a solution oriented toward maximum operational robustness. The second approach uses average hourly load and irradiance profiles, optimizing the project for typical day-to-day operating conditions while reducing implementation costs. For the analyzed case study, the sizing based on the average profile resulted in an 800 kW photovoltaic system combined with a 3,916 kWh BESS, providing 92.7% self-sufficiency and an estimated reduction of 608.37 tons of CO2 avoided annually. Additionally, the comparison between the “critical day” and “average day” strategies highlighted the tradeoff between operational robustness, energy resilience, and economic viability, reinforcing the practical applicability of the tool for energy transition and industrial decarbonization projects. Tipo: Dissertação Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/86725 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/86617 Título: Controle de posição da junta de manipulador cilíndrico acionado por motor de indução trifásico com transmissão flexível e otimização conjunta de sintonia Autor(es): Barbosa, Klysmann Gladson Ferreira Abstract: This work investigates the position control of the base rotational joint of a cylindrical manipulator driven by a three-phase induction motor with a flexible mechanical transmission, with emphasis on the systematic tuning of controllers. The electromechanical system is modeled in an integrated manner, including the three-phase induction motor under Indirect Field-Oriented Control (IFOC), the manipulator dynamics, and the elastic motor-load coupling represented by a two-mass model derived from the Euler-Lagrange formulation. The study focuses on the influence of flexible mechanical coupling on control performance and on the systematic determination of controller parameters using metaheuristic and probabilistic optimization methods. Different cascaded control architectures combining P and PI controllers with Adaptive Sliding Mode Control (ASMC) are evaluated, both in sensored operation and in sensorless configuration using a Sliding Mode Observer (SMO). Additionally, the influence of measurements obtained from a non-ideal incremental encoder on the quality of state feedback is considered. The results show that transmission elasticity introduces resonant modes that significantly degrade performance when conventional controller parameters are used. Systematic optimization-based tuning improves the trade-off between response speed, accuracy, and robustness, and allows the identification of operating regions in which PID controllers achieve performance comparable to robust control strategies, as well as conditions in which ASMC provides significant advantages under parametric uncertainties and external disturbances. Tipo: Dissertação Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/86617 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/86616 Título: Plataforma web de anotações interativas para segmentação de neuroimagens por ressonância magnética Autor(es): Landim, Pedro Lino Azevedo Abstract: The growing volume and complexity of medical imaging, especially magnetic resonance imaging, have increasingly overwhelmed healthcare professionals and highlighted the need for computer-aided diagnostic tools. In this context, this work presents the development of an interactive web platform for the segmentation of magnetic resonance neuroimages, integrating artificial intelligence techniques and accessible visualization. The tool was designed with a modular architecture composed of a Flutter Web interface, a Flask-based API, and deep learning models implemented in PyTorch. The system performs automatic segmentation using the U-Net architecture and enables dataset enhancement through mask generation using the Flood Fill algorithm, validated by a CNN. The interface provides features for image upload, region of interest marking, result visualization, and retraining of the model with customized data. Load and stress tests were conducted to assess system performance, along with both quantitative and qualitative analyses of the segmentations. The U-Net segmentation model achieved a mean Dice Score of 90.22% , while the CNN for mask validation obtained 97.49% accuracy. These results, combined with the API’s high success rate under stress, demonstrate the feasibility of applying the platform in clinical and research environments, highlighting its flexibility, adaptability, and integration with medical workflows. Tipo: Dissertação Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/86616 2025-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/86332 Título: Análise de viabilidade técnico-econômica aplicada à energia eólica offshore Autor(es): SOARES FILHO, DÁRIO CONCEIÇÃO Abstract: The global energy transition and the need to decarbonize power systems have fostered the expan sion of renewable sources, with offshore wind standing out for its high technical potential and strategic relevance. Brazil, particularly the Northeast coast, offers exceptional wind conditions and a broad continental shelf, with potential exceeding 700 GW. This dissertation develops and applies an integrated techno-economic assessment model for offshore wind generation, with a case study in Pecém, Ceará. The methodology combines statistical wind modeling through the Weibull distribution, integration with the power curve of a 10 MW NREL/IEA turbine, calculation of the FCE and AEP, and explicit consideration of transmission losses. The economic evaluation covers LCOE, Net VPL, TIR, and PBd, based on realistic CAPEX, OPEX, and tariff assumptions. Uncertainty analysis is carried out through sensitivity tests and Monte Carlo simula tion. Results indicate FCE between 62% and 66% and AEP between 2,716 and 2,891 GWh/year, ensuring international competitiveness. LCOE ranges from 68 to 117 US$/MWh (P5–P95), with averages of 78–100 US$/MWh, while discounted PBd spans 6–12 years, averaging 7–9.5 years. Probabilistic analysis shows that over 80% of simulations yield LCOE below 100 US$/MWh and Payback around 9 years, confirming project attractiveness even under uncertainty. Offshore wind in Pecém is thus a viable and strategic option for expanding Brazil’s power matrix and integrating into emerging chains such as green hydrogen, providing technical input for policies and methodological advances by unifying deterministic and stochastic analyses. Tipo: Dissertação Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/86332 2025-01-01T00:00:00Z