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    <title>DSpace Coleção:</title>
    <link>http://repositorio.ufc.br/handle/riufc/23642</link>
    <description />
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        <rdf:li rdf:resource="http://repositorio.ufc.br/handle/riufc/87266" />
        <rdf:li rdf:resource="http://repositorio.ufc.br/handle/riufc/86638" />
        <rdf:li rdf:resource="http://repositorio.ufc.br/handle/riufc/85005" />
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    <dc:date>2026-07-28T02:14:05Z</dc:date>
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  <item rdf:about="http://repositorio.ufc.br/handle/riufc/87266">
    <title>Estudo de viabilidade técnica e financeira aplicada à iluminação pública do centro de fortaleza</title>
    <link>http://repositorio.ufc.br/handle/riufc/87266</link>
    <description>Título: Estudo de viabilidade técnica e financeira aplicada à iluminação pública do centro de fortaleza
Autor(es): Santana, Francisco Vitor da Silva
Abstract: Public lighting is an essential infrastructure that historically demands high operational&#xD;
costs due to the use of inefficient discharge technologies. This work aims to analyze&#xD;
the technical and financial feasibility of modernizing the public lighting park in the&#xD;
&#xD;
hypercenter of Fortaleza, Ceará, by replacing the technological liabilities with light-&#xD;
emitting diodes (LED) integrated with telegestion systems. The methodology was&#xD;
&#xD;
based on functional benchmarking, evaluating successful national and international&#xD;
cases (Belo Horizonte, Aracaju, and Buenos Aires) to establish the technical&#xD;
resilience parameters and logistical metrics of the project. The diagnosis of the study&#xD;
polygon identified 1,728 light points, of which 710 use discharge lamps (sodium and&#xD;
metal halide), responsible for a high average consumption of 187.96 W per point. The&#xD;
lighting readjustment modeling proposed the universalization of the park to 100%&#xD;
LED and the application of dynamic night dimming profiles. The results of the&#xD;
Technical and Financial Feasibility Study (EVTF) demonstrated a 40.4% reduction in&#xD;
electricity consumption, saving 47,217.84 kWh per month. Financially, the retention&#xD;
of tariff expenses associated with the mitigation of operational and maintenance&#xD;
expenses generates a global saving of R$ 31,658.81 per month. Faced with the initial&#xD;
investment of R$ 919,450.00, the project reaches its simple payback in 29 months.&#xD;
From the perspective of discounted cash flow, adopting a Minimum Attractiveness&#xD;
Rate of 10% per year over a 10-year horizon, the project presents a Net Present Value&#xD;
of R$ 1,414,906.86 and an Internal Rate of Return of 39.8% per year. Additionally,&#xD;
the modernization prevents the emission of 24.13 tons of CO2 annually. It is&#xD;
concluded that the intervention is highly viable, configuring itself as an investment of&#xD;
solid fiscal attractiveness that converts the current liability into a positive cash flow&#xD;
for the municipality, aligned with Smart City principles.
Tipo: TCC</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repositorio.ufc.br/handle/riufc/86638">
    <title>Desenvolvimento de uma plataforma web para monitoramento de dispositivos elétricos de baixa potência</title>
    <link>http://repositorio.ufc.br/handle/riufc/86638</link>
    <description>Título: Desenvolvimento de uma plataforma web para monitoramento de dispositivos elétricos de baixa potência
Autor(es): Rocha, Ismael Lima
Abstract: The increasing digitalization of electrical systems, driven by the convergence of Internetconnected devices and web-based visualization and data analysis tools, has expanded the demand for accessible remote monitoring solutions. In this context, this work aims to develop the SEMS platform, an abbreviation of Smart Equipment Monitoring System, conceived within the scope of this research as an Internet of Things solution for remote electrical current monitoring in low-power devices. The system architecture is structured in three layers: an embedded device, composed of an ESP32 microcontroller and a non-invasive current sensor SCT-013-100, responsible for signal acquisition and transmission to the server via WebSocket protocol; a backend server developed with the NestJS framework, under the principles of hexagonal architecture, which implements dual-path processing for real-time data propagation and persistence of records in a PostgreSQL database; and a reactive web application built with React and Vite, which provides the user with a dashboard for dynamic monitoring and real-time data visualization and historical time series queries. The platform incorporates automatic reconnection and data validation mechanisms across all communication interfaces. The results obtained demonstrate the technical feasibility of the proposed solution as an accessible tool for monitoring electrical quantities, with potential application in predictive maintenance and energy efficiency scenarios.
Tipo: TCC</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repositorio.ufc.br/handle/riufc/85005">
    <title>Aplicações de inteligência artificial na proteção de transformadores: revisão comparativa</title>
    <link>http://repositorio.ufc.br/handle/riufc/85005</link>
    <description>Título: Aplicações de inteligência artificial na proteção de transformadores: revisão comparativa
Autor(es): Mororó, Francisco Gabriel Farias
Abstract: This work presents a comparative review between traditional power transformer protection&#xD;
methods and Artificial Intelligence (AI) based approaches. The main objective is to investigate&#xD;
how intelligent techniques can enhance reliability, selectivity, and response time levels of&#xD;
protection systems. The adopted methodology is exploratory and comparative, based on&#xD;
bibliographic research and technical analysis of recent studies applying Artificial Neural&#xD;
Networks (ANN), Deep Learning, and hybrid models. The analysis results indicate that&#xD;
traditional methods, although robust and standardized, present structural limitations regarding&#xD;
current transformer (CT) saturation and inrush currents with low harmonic content. In contrast,&#xD;
AI applications, especially convolutional neural network (CNN) architectures and models such&#xD;
as Long Short-Term Memory (LSTM), demonstrate superior performance, achieving detection&#xD;
times reduced to the 1 to 5 ms range and a significant reduction in false trip rates. It was&#xD;
observed that the use of autoencoders contributes significantly to system robustness in noisy&#xD;
and saturated environments. It is concluded that Artificial Intelligence acts as an essential&#xD;
complementary evolution for the safe operation of smart grids and modern high-complexity&#xD;
power systems. However, the feasibility of its large-scale implementation still depends on&#xD;
advances in methodological standardization, field validation, and the availability of real and&#xD;
representative databases.
Tipo: TCC</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repositorio.ufc.br/handle/riufc/85002">
    <title>Uma revisão sobre frenagem regenerativa em motores de indução trifásicos</title>
    <link>http://repositorio.ufc.br/handle/riufc/85002</link>
    <description>Título: Uma revisão sobre frenagem regenerativa em motores de indução trifásicos
Autor(es): Lima, Robert Ramos de
Abstract: The three-phase induction motor plays an extremely important role in industry and is the most&#xD;
widely used type of electric motor in this sector. In this context, several aspects can be explored,&#xD;
among which regenerative braking stands out. This Undergraduate Final Project presents an&#xD;
review of the application of regenerative braking in three-phase induction motors, focusing on&#xD;
its operating principles, technical limitations, and energy recovery potential. Furthermore, this&#xD;
work is based on an exploratory, descriptive, and qualitative bibliographic research, grounded&#xD;
on the analysis of books, scientific articles, and technical datasheets. No practical experiments&#xD;
or computational simulations were carried out; the study was conducted exclusively using&#xD;
secondary data available in the literature. In particular, data from previous studies involving&#xD;
induction motors operating in generator mode during braking were analyzed. The results&#xD;
indicate that although regenerative braking does not allow for the full recovery of the consumed&#xD;
energy, a significant portion can be recovered, reaching values of approximately 15% to 30%,&#xD;
depending on operating conditions, application type, and the frequency of braking cycles.&#xD;
Therefore, regenerative braking in three-phase induction motors constitutes a viable alternative&#xD;
for improving energy efficiency in industrial systems and electric transportation. However, its&#xD;
physical, operational, and control-related limitations must be carefully considered in the design&#xD;
and application of such systems, highlighting the need for future studies employing experimental&#xD;
approaches and more detailed analyses.
Tipo: TCC</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
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