Artigos em Revistas

Artificial intelligence algorithms play a key role in solving multimodal urban mobility problems, this study outlines a scheme covering bus, boat, and pedestrian transport modes. This involves designing an Artificial Neural Network (ANN) model to classify the most suitable routes for passengers, together with an algorithm capable of estimating the arrival times of various transportation modes at designated stopping points or buildings within the smart campus. The information used to train the ANN is obtained from an Internet of Things (IoT) network and a database that includes the available routes within the campus (which is situated in the Brazilian Amazon), where there is a multimodal electric mobility service. In seeking to achieve the objectives, this ANN relied on the user's geographic location in the input layer, and route mapping data stored in the database in the output layer, as well as the backpropagation algorithm for computational processing and adjustments of synaptic weight. The algorithm for modal arrival time prediction used real-time geographic location data, together with the Haversine formula to calculate geographic distance, while the average speed was obtained from the IoT network. A range of different ANN parameters were included in the experiments. In the study case, the ANN results show an improvement of above 92% for determining the best routes and predicting arrival times. The findings show that ANNs can effectively find the best route within a real-world smart campus environment. Moreover, the results show the arrival time can be estimated by using real-time geographic location data.

JOINER DOS SANTOS SÁ, EDINHO DO NASCIMENTO DA SILVA, LEONARDO NUNES GONÇALVES, CAIO MATEUS MACHADO CARDOSO, ANDRÉIA ANTLOGA DO NASCIMENTO, GERVÁSIO PROTÁSIO DOS SANTOS CAVALCANTE, MARIA EMÍLIA DE LIMA TOSTES, JASMINE PRISCYLA LEITE DE ARAÚJO, FABRÍCIO JOSE BRITO BARROS, FABRICIO DE SOUZA FARIAS

The increasing reliance on electric vehicle (EV) charging in buildings requires balancing the load from other building systems to support the new demand. This paper uses a study case in a Near-Zero Energy Building (NZEB) educational facility located in the Brazilian Amazon to verify how much the energy efficiency (EE) measures would improve the existing ratings of the building and supply the expansion of EV demand. A comprehensive building energy load and energy performance analysis were conducted in four steps, following the mandatory Brazilian requirements for EE in public buildings, using measured data, computer modeling, and thermoenergetic analyses using OpenStudio version 1.1.0 and EnergyPlus software version 9.4.0. First, the EE retrofit measures were proposed and evaluated, targeting the air conditioning and lighting systems. Subsequently, an equation was elaborated to indicate the maximum level of energy consumption that could be increased without compromising the building’s energy performance and NZEB classification. Finally, Open DSS software version 10.0.0.2 was used to simulate the increased availability of EV charging after the retrofit. With the proposed retrofit, the building improved the EE ratings by three levels, and the percentage of the NZEB rating increased by 33.28%. These measures also increased the EV charging load by 20%, maintaining the maximum EE level and the NZEB classification, although EV maximization reduced self-sufficiency by 9.78% compared to the retrofit-only scenario.

ANA CAROLINA DIAS BARRETO DE SOUZA, FILIPE MENEZES DE VASCONCELOS, JACKQUELLINE C. DO N. AZEVEDO, LARISSA PAREDES MUSE, GABRIEL ABEL MASSUNANGA MOREIRA, JOÃO VICTOR DOS. REIS ALVES, MARIA EMÍLIA DE LIMA TOSTES, CARMINDA CÉLIA MOURA DE MOURA CARVALHO, ANDRÉIA ANTLOGA DO NASCIMENTO

The growth of electric vehicles (EVs) and their integration into existing and future buildings bring new considerations for energy efficiency (EE) and balance when combined with renewable energy. However, for buildings with an energy efficiency label, such as Near Zero Energy Building (NZEB) or Positive Energy Building (PEB), the introduction of EVs may result in the declassification of the EE label due to the additional energy required for the charging infrastructure. This underscores the increasing relevance of demand-side management techniques to effectively manage and utilize energy consumption and generation in buildings. This paper evaluates the influence of electric vehicle (EV) charging on NZEB/PEB-labeled buildings of the Brazilian Building Labeling Program (PBE Edifica). Utilizing on-site surveys, computational modeling, and thermos-energetic analysis with software tools such as OpenStudio v. 1.1.0 and EnergyPlus v. 9.4.0, an energy classification was conducted in a building in the city of Belem, State of Para, Brazil. Subsequently, power flow simulations employing probabilistic models and Monte Carlo approaches were executed in the OpenDSS software v. 10.0.0.2 to examine the impact of EV integration, both with and without the implementation of demand-side management techniques. Analyses using the labeling methodology demonstrated that the building has EE level C and NZEB self-sufficiency classification. The assessment of the impact of EV integration on the building’s total energy consumption in the base (current) scenario was carried out in two scenarios, with (2) and without (1) supply management. Scenario 01 generated a 69.28% increase in energy consumption, reducing the EE level to D and resulting in the loss of the NZEB class. Scenario 02 resulted in a smaller increase in energy consumption of 40.50%, and guaranteed the return of the NZEB class lost in scenario 1, but it was not enough to return the EE level to class C. The results highlight the need for immediate and comprehensive energy management strategies, as the findings show that the two scenarios present a difference of 41.55% in energy consumption. Nonetheless, these strategies are not enough if other consumption restrictions or energy efficiency measures are not applied to other building systems.

ANA CAROLINA DIAS BARRETO DE SOUZA, FILIPE MENEZES DE VASCONCELOS, GABRIEL ABEL MASSUNANGA MOREIRA, JOÃO VICTOR DOS REIS. ALVES, JONATHAN MUÑOZ TABORA, MARIA EMÍLIA DE LIMA TOSTES, CARMINDA CÉLIA MOURA DE MOURA CARVALHO, ANDRÉIA ANTLOGA DO NASCIMENTO

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