Artigos em Revistas

This study aims to assess the feasibility of replacing a diesel-powered tourist boat with a Solar Electric Hybrid Catamaran with a capacity for fifty people to promote sustainable tourism in the Amazon, specifically in the Belém-Pará region. The initiative seeks to take advantage of the opportunity presented by COP 2030 to innovate in the waterway transportation matrix through renewable energy sources. The research is based on sustainability concepts, the environmental impacts of using fossil fuels and the advantages of using solar energy for waterway transportation. The methodology includes a comparative analysis of diesel-powered vessels' operational and environmental costs and a Hybrid Electric system based on data compiled from a master's thesis. The expected results include identifying significant benefits in terms of reduced carbon emissions. The discussion will address the challenges faced in implementation, such as the initial investment costs, the maintenance of the new technologies, and the adaptation of operators and tourists to the latest transportation conditions. The implications of this research are vast; it can serve as an incentive for energy transition in the river transportation sector. Furthermore, this research pioneers the proposal of replacing diesel-powered tourist boats with solar electric hybrid models in the Amazon region. The study adds value by presenting a practical and sustainable solution to the environmental challenges the tourism sector faces, in line with the global sustainability goals set by COP 2030.

FERNANDA COSTA DE LIMA LIMA, LUCIANO LEITE POMPEU, ANTONIO RONIEL MARQUES DE SOUSA, WELLINGTON DA SILVA FONSECA, MARCELO DE OLIVEIRA E SILVA

The aim of this study is to analyze charging strategies for electric vehicles (EVs) in a hybrid system connected to the conventional electricity grid, to optimize the use of renewable energies.

ISAIAS FERREIRA, JONATHAN M. TABORA, PEDRO LUCAS SAMPAIO DE LIMA, DENNIS RIVERA, CARMINDA C. M. DE M. CARVALHO, MARIA EMÍLIA. DE LIMA TOSTES, EDSON ORTIZ DE MATOS, UBIRATAN H. BEZERRA, ANDRÉIA ANTLOGA DO NASCIMENTO

This paper addresses the optimization of contracted electricity demand (CD) for commercial and industrial entities, focusing on cost reduction within the Brazilian time-of-use electricity tariff scheme. Leveraging genetic algorithms (GAs), this study proposes a practical approach to determining the optimal CD profile, considering the complex dynamics of energy demand on a city-like load. The methodology is applied to a case study at the Federal University of Pará, Brazil, where energy efficiency and demand response initiatives as well as renewable energy projects are underway. The findings highlight the significance of tailored demand management strategies in achieving energy-related cost reduction for large-scale consumers, with implications for economic efficiency in energy consumption.

LAURO CORREA DOS SANTOS JUNIOR, JONATHAN MUÑOZ TABORA, JOSIVAN REIS, VINICIUS ANDRADE, CARMINDA CARVALHO, ALLAN MANITO, MARIA TOSTES, EDSON MATOS, UBIRATAN BEZERRA

Designing and deploying telecommunications and broadcasting networks in the challenging terrain of the Amazon region pose significant obstacles due to its unique morphological characteristics. Within low-power wide-area networks (LPWANs), this research study introduces a comprehensive approach to modeling large-scale propagation loss channels specific to the LoRaWAN protocol operating at 915 MHz. The objective of this study is to facilitate the planning of Internet of Things (IoT) networks in riverside communities while accounting for the mobility of end nodes. We conducted extensive measurement campaigns along the banks of Universidade Federal do Pará, capturing received signal strength indication (RSSI), signal-to-noise ratio (SNR), and geolocated point data across various spreading factors. We fitted the empirical close-in (CI) and floating intercept (FI) propagation models for uplink path loss prediction and compared them with the Okumura–Hata model. We also present a new model for path loss with dense vegetation. Furthermore, we calculated received packet rate statistics between communication links to assess channel quality for the LoRa physical layer (PHY). Remarkably, both CI and FI models exhibited similar behaviors, with the newly proposed model demonstrating enhanced accuracy in estimating radio loss within densely vegetated scenarios, boasting lower root mean square error (RMSE) values than the Okumura–Hata model, particularly for spreading factor 9 (SF9). The radius coverage threshold, accounting for node mobility, was 945 m. This comprehensive analysis contributes valuable insights for the effective deployment and optimization of LoRa-based IoT networks in the intricate environmental conditions of the Amazon region.

WIRLAN G. LIMA, ANDREIA V. R. LOPES, CAIO M. M. CARDOSO, ASMINE P. L. ARAÚJO, MIÉRCIO C. A. NETO, MARIA E. L. TOSTES, ANDRÉIA A. NASCIMENTO, MAURICIO RODRIGUEZ, FABRÍCIO J. B. BARROS

O presente trabalho tem por objetivo verificar o potencial do microcontrolador Arduino como uma ferramenta didática em cursos de engenharia, no âmbito da redução da evasão dos estudantes em cursos dessa área. Para isso, um questionário foi aplicado para estudantes dos cursos de engenharia elétrica e biomédica da universidade federal do Pará, com o propósito de obter informações acerca das dificuldades que esses alunos possuem, o seu nível de conhecimento sobre Arduino e averiguar a relevância dessa ferramenta para os alunos. De posse dos resultados obtidos pelo questionário, foi possível verificar que o Arduino possui grande relevância no contexto delineado e pode ser uma ferramenta importante que pode ser utilizada para mitigar a evasão de estudantes de engenharia. Por conseguinte, corroborando para a superação desse desafio de longa data que é a evasão em cursos de engenharia.

ARTHUR GUTEMBERG HORA DE MIRANDA, KAIO EDSON MAGNO MARTINS, LUCAS BORGES MAIA, LUCAS MAXWEL FERNANDES SALES MEDEIROS, ELEN PRISCILA DE SOUZA LOBATO, WELLINGTON DA SILVA FONSECA

As Ações de Eficiência Energética (AEE) são elementos chaves na transição para um futuro sustentável, porém, anteriormente a sua implementação, análises das oportunidades de economia energética bem como da viabilidade da sua implementação tanto técnica quanto econômica devem ser desenvolvidas. O presente estudo desenvolve uma análise de engenharia EX-ANTE prévio ao plano de Medição e Verificação (M&V) no prédio da Biblioteca Central, localizado na Universidade Federal do Pará, e com operação em horários de ponta e fora ponta de acordo com a tarifa contratada pela instituição. Para o estudo, uma análise tarifária, estatística, técnica e econômica foi desenvolvida visando identificar todas as oportunidades de economia. Os resultados mostram o impacto que tem a operação no horário de ponta no retorno financeiro das AEE propostas.

JONATHAN MUÑOZ TABORA, VINICIUS BORGES ANDRADE, CLEYDSON MATOS LIMA, JAMILLY CRISTINA AZEVEDO DA SILVA, CARMINDA CÉLIA MOURA DE MOURA CARVALHO, MARIA EMÍLIA DE LIMA TOSTES, EDSON ORTIZ DE MATOS, UBIRATAN HOLANDA BEZERRA

Europe has initiated the transition process toward IE4 efficiency motor classes, setting an example for other regions to follow in adopting higher-efficiency motor standards. However, in some regions, the operating voltage may differ from the nominal voltage according to the IEC 60038-2009. Therefore, the performance of new technologies under conditions of voltage variations (VVs) must also be assessed. This study presents a comprehensive analysis of a 0.75 kW line-start permanent-magnet motor (LSPMM) under different VV magnitudes, including undervoltage and overvoltage, while considering different load conditions. The study incorporates technical, economic, statistical, and thermal analyses to obtain important indicators related to power consumption, efficiency, power factor, and temperature. This study provides valuable insights to specialists regarding the technical and economic impacts of voltage-magnitude variation on LSPMMs.

JONATHAN MUÑOZ TABORA, LAURO CORREA DOS SANTOS JUNIOR, EDSON ORTIZ DE MATOS, THIAGO MOTA SOARES, ALLAN RODRIGO ARRIFANO MANITO, MARIA EMÍLIA DE LIMA TOSTES, UBIRATAN HOLANDA BEZERRA

Non-Technical Losses (NTL) remain a challenge because electricity theft is prevalent in traditional meters and smart metering systems and structures. They cause financial losses that affect the security of supply and lead to a cooperative burden because NTL are incorporated in the expense tariff and are paid by all customers in countries such as India, China, Brazil, Tunisia, Uruguay, and others. A significant number of methods have been proposed to detect NTL, but they cannot precisely recognize this type of fraud, which enables companies to better identify the fraud’s origin and evaluate its financial impact. In addition, it is important to combine several Time-Series Classification (TSC) algorithms which consider the time-dependent nature of energy consumption data. We propose a data-oriented heterogeneous ensemble predictor based on time series classifiers for NTL detection, called DETECT. It classifies energy consumption samples either as honest or as fraudulent and further categorizes the type of fraud which might have been committed based on the analysis of the consumption patterns of each sample. DETECT is a fraud detection algorithm that has the ability to analyze and classify NTL frauds effectively regardless of the dataset. Using our proposed approach, we obtained a performance improvement with a Detection Rate (DR) value equal to 93.45% and a False Positive Rate (FPR) value equal to 1.61%. DETECT focuses on time-series data, which enables the development of a method that better interprets real-world scenarios and it is more error-resistant.

LUCAS BASTOS, GEAM PFEIFF, RAMON OLIVEIRA, HELDER OLIVEIRA, MARIA EMÍLIA TOSTES, SHERALI ZEADALLY, EDUARDO CERQUEIRA, DENIS ROSÁRIO

A popularização da aquisição de veículos elétricos amplificou-se consideravelmente nos últimos anos, acarretando uma maior necessidade de planejamento do setor elétrico. Desse modo, este artigo visa desenvolver uma metodologia para a análise dos impactos da recarga não controlada de veículos elétricos em redes de baixa tensão, por meio de simulações no software OpenDSS, desenvolvidas com base no método de Monte Carlo, em uma rede de distribuição do município de Belém/PA. Os resultados ressaltam que a inserção massiva não controlada de VE’s na rede de distribuição de baixa tensão pode ocasionar subtensão nas barras e sobrecarga de transformadores, sendo a metodologia apresentada neste artigo capaz de auxiliar na previsão do local em que os problemas ocorrerão.

GABRIEL HENRIQUE SANTOS DE OLIVEIRA, LAURO CORREA DOS SANTOS JUNIOR, JOÃO VICTOR DOS REIS ALVES, MARIA EMÍLIA DE LIMA TOSTES, CARLOS EDUARDO MOREIRA RODRIGUES, KAIO HENRIQUE SINIMBU FORTE, GABRIEL AUGUSTO SILVA COUTO

Among the main problems faced in the context of electric mobility today, the management and monitoring of electric vehicle charging stations, the integration between the diverse types of technologies that make up its architecture, and its low scalability stand out. Therefore, we will present the implementation and complete integration of an electric vehicle charging system in an electric mobility pilot project being executed in the Amazon region in Brazil. Therefore, a literature review of related works will be presented, and its entire implementation will be addressed, from the charging infrastructure, through its back-end system and its Internet of things platform, to its front-end web system for monitoring charging stations. In addition, a complete prototype is created with a real testbed to verify the scalability of the implemented physical system. Based on the testbed evaluations performed, we observe that the implemented system performs well in receiving and sending data from up to 160 electric vehicle charging stations, achieving an average consumption of 26% for CPU and 95% for memory. In addition, it is important to mention that the deployed system supports horizontal scalability, enabling the connection of more charging stations and making it ideal for other integrated systems similar to ours. Based upon the main results obtained with the implemented system, the possibility of carrying out the management and monitoring of charging stations stands out; the integration of different technologies, from the back end and IoT middleware to its front end; a system that supports scalability, enabling the connection of more charging stations; and a reference architecture for charging station management and monitoring systems for the Amazon region.

ELEN LOBATO, LUCAS PRAZERES, IAGO MEDEIROS, FELIPE ARAÚJO, DENIS ROSÁRIO, EDUARDO CERQUEIRA, MARIA TOSTES MARIA TOSTES SCIPROFILESSCILITPREPRINTS.ORGGOOGLE SCHOLAR, UBIRATAN BEZERRA, WELLINGTON FONSECA, ANDRÉIA ANTLOGA