Núcleo de Dinâmica e Fluidos - Poli-USP

Researchers from a project coordinated by Professor Bruno Carmo have published an article in the journal Data in Brief. Authors: Rafael Tominaga, Luan Andrade Sousa, Rodolfo Varraschim Rocha, Renato Monaro, Sérgio Luciano Avila, Maurício B. C. Salles and Bruno Carmo. Title: Electrical signals dataset from fixed-speed and variable-speed synchronous generators under healthy and faulty conditions Abstract: Proper monitoring of rotating machines is responsible for the efficiency in detecting, diagnosing, or even prognosing failures. Effective monitoring can lead to increased economic viability of any equipment, as it may reduce costly repairs, decrease downtime, and increase safety. Knowing the behaviour of a machine promotes better monitoring of its operation and maintenance. Data-driven algorithms have been widely used to identify failures and predict the behaviour of machines and systems. The difficulty in obtaining reliable data to test strategies or methods for this purpose is well known. Our contribution is a set of electrical current data (time series data) from a rotating machine that generates electrical energy, generically called a power generator, in a laboratory. In this machine we have the possibility of, besides monitoring its healthy behaviour, causing internal defects that can reduce its efficiency and remaining useful life. We highlight three key lines of study with the data available here: it is possible to apply data processing tools to make discoveries not evidenced in studies; test and compare new data-driven algorithms using public and reliable data; engineering lectures can use the dataset regarding the study of electrical machines and data driving methods. The dataset contains information mainly about the voltage and current of generators when they are subject to internal faults. These faults include short circuits between turns of winding, short circuits between windings of the same phase, and short circuits between different phases. This dataset has a wide variety of bench configurations. The dataset comes from real generators and allows the study of phenomena that are difficult to reproduce through analytical or computational models. The time series of electrical currents are raw, no preprocessing has been done. In fact, the signals contain natural noise from an industrial environment. In this context, the main contribution of this work is to provide a public and reliable database, which helps to speed up the development of more efficient techniques for monitoring, diagnosis, and prognostics of the behaviour of rotating electrical machines. Keywords: Power generators; Electrical currents; Signature analysis; Behaviour identification; Fault detection https://lnkd.in/dFeVXXBw https://lnkd.in/d7dwa63V #NDF #RCGI #USP

Naval Engineering students participated in a pedal boat race at the Raia Olímpica of the Universidade de São Paulo as part of an exam in a course taught by Professor Gustavo Assi. The project required students to design and build a pedal boat from concept to construction, culminating in a final presentation and the race on November 30. Along the way, they conducted structural tests on their prototypes and received feedback from a technical board. This feedback helped them identify key mistakes and successes throughout the process. Source: bit.ly/4gus2hI #USP

#NDF professor Jorge Luis Baliño has just published the book "Multiphase flow dynamics and stability in offshore petroleum production systems: An integrated approach". The book takes a comprehensive and integrated approach to multiphase flow dynamics and stability challenges in offshore production systems. An essential work for engineers, researchers and professionals interested in optimizing processes and overcoming the technical challenges of oil production in the marine environment. Interested? Visit the link: bit.ly/3OHbMhr Congratulations on your achievement, Professor Baliño! #NDF #USP

Entrevista sobre a nossa patente de monitoramento de hidrogênio saiu no site da FAPESP. Todas as 4 patentes foram desenvolvidas na Universidade de São Paulo, Research Centre for Greenhouse Gas Innovation (RCGI) e no Núcleo de Dinâmica e Fluidos - Poli-USP. As 4 patentes relacionadas à essa tecnologia são: 1.    Método de monitoramento de escoamento de bolhas em um eletrolisador a partir de medições de imagem de sombra e optical flow. Brasil. Patente: Privilégio de Inovação. Número do registro: BR1020230151736. INPI. Depósito: 27/07/2023. Titular: USP. Mais informações: https://lnkd.in/dnudPqMC 2.     Método de monitoramento de escoamento de bolhas em um eletrolisador a partir de medições de imagem de sombra coerentes no tempo e segmentação de intensidade, e meio legível. Brasil. Patente: Privilégio de Inovação. Número do registro: BR1020230263968. INPI. Depósito: 14/12/2023. Titular: USP. Mais informações: https://lnkd.in/d-bTi9G8 3. Método para geração de máscara de imagem baseado em optical flow. Patente: Privilégio de Inovação. Número do registro: BR1020230151710, INPI - Instituto Nacional da Propriedade Industrial. Depósito: 27/07/2023. Titular: USP. 4. Eletrolisador sem membrana para monitoramento não intrusivo da superfície do eletrodo. Patente: Privilégio de Inovação. Número do registro: BR1020240188454, Instituição de registro: INPI - Instituto Nacional da Propriedade Industrial. Depósito: 12/09/2024. Titular: USP.

Do you know what role universities play in the Energy Transition? Brazilian universities, such as Universidade de São Paulo, have been revising their curricula to include subjects focused on the development of renewable energies. This change is not only a response to growing demand from the job market, but also a reflection of the private sector's investment in research and development, as Professor Bruno Carmo mentioned in the panel he took part in at Brazil Windpower last month. Technological progress is crucial to ensure competitiveness in an industry that seeks to provide cleaner, more reliable and more affordable energy. However, technical and scientific innovations are cumulative, i.e. their results depend on previous advances. This explains why the leading countries in the world economy, which have more resources to invest in science and technology, are also at the forefront of scientific production, widening the knowledge gap with developing nations. Faced with technological and market uncertainties, the state plays a fundamental role in boosting scientific research. In this context, the ANP (National Agency for Petroleum, Natural Gas and Biofuels), through Resolution No. 917/2023, establishes rules that determine investment in R&D for companies that explore for oil and gas in the country. These initiatives allow for the emergence of centers such as the Research Centre for Greenhouse Gas Innovation (RCGI) (Research Centre for Gas Innovation), which facilitate partnerships for projects that position Brazil as a pioneer in the Energy Transition agenda. Relations with international universities also help to reduce the technological differences between Brazil and developed countries. Universities, in partnership with the private sector and the state, are at the forefront of the energy transition, connecting knowledge, innovation and strategic action. Sources: bit.ly/417MosO / bit.ly/4gbGdYN / bit.ly/3OxegiB FERREIRA, Lindomayara; PRADO, Jamaika; MONTENEGRO, Rosa Livia. O papel da pesquisa e desenvolvimento (P&D) na transição energética: uma análise comparativa para os países da OCDE. Geosul, Florianópolis, v. 39, n. 90, p. 235-265, mai./ago. 2024. https://lnkd.in/dPhmKQ86 #NDF #RCGI #USP

💡 No dia 5 de novembro, finalizei minha Iniciação Científica com chave de ouro! Foi uma honra compartilhar meu projeto de captura de CO₂ na Conferência de Pesquisa e Inovação em Transição Energética 2024 (#ETRI). 🌍 Esse evento promove soluções inovadoras e destaca a importância das novas tecnologias no caminho para uma Transição Energética Sustentável. Estou muito orgulhoso de contribuir para a Ação Climática através do desenvolvimento de tecnologias avançadas, essenciais para um futuro sustentável! Além disso, gostaria de expressar minha gratidão ao meu orientador, Professor Bruno Carmo, por seu apoio e orientação durante todo o processo. Seu conhecimento e dedicação foram fundamentais para cada conquista desse projeto! 🙏 🔋⚙️ #TransiçãoEnergética #Inovação #TecnologiasSustentáveis #AçãoClimática #EnergiaLimpa #Sustentabilidade #CapturaDeCarbono #CiênciaParaOMundo #TecnologiaParaOPlaneta

Universidade de São Paulo is the best university in Latin America and the Caribbean according to Times Higher Education. #USP had not been ranked first by the British consultancy since 2017. Brazil has seven of the top ten universities. In addition to #USP, the top 10 include the Universidade Estadual de Campinas (2nd place), the UFRJ - Universidade Federal do Rio de Janeiro (3rd), the UNESP - Universidade Estadual Paulista "Júlio de Mesquita Filho" (5th), the Pontifícia Universidade Católica do Rio de Janeiro (6th), the Universidade Federal do Rio Grande do Sul (7th) and the Universidade Federal de Santa Catarina (10th). For more information: bit.ly/3UVQrUY / bit.ly/4fuCgi7 #NDF #USP

Last Tuesday, Alexandre Olender defended his PhD thesis. Title: Development of software for modeling and inversion of the wave equation using high-order finite element methods Supervisor: Bruno Carmo Abstract: Inversion problems, such as full waveform inversion (FWI), based on wave propagation, are computationally costly optimization processes used in many applications, ranging from seismic imaging to brain tomography. In most of these uses, high-order methods are required for both accuracy and computational efficiency. Within finite element methods (FEM), high(er)-order can provide accuracy and the usage of flexible meshes. However, FEM are currently rarely used in connection with unstructured simplicial meshes because of the computational cost and complexity of code implementation. They are used frequently with quadrilateral or hexahedral spectral finite elements, but the mesh adaptivity on those elements has not yet been fully explored. In this work, we address these challenges by developing software that leverages accurate higher-order mass-lumped simplicial elements with a mesh-adaption metric, allowing us to take advantage of the computational efficiency of newer mass-lumped simplicial elements together with waveform-adapted meshes and the accuracy of higher-order function spaces. We also calculate these mesh-related metrics and develop software for high-order spectral element methods, also allowing mesh flexibility. The code was implemented using the Firedrake framework and a mathematical-based domain specific language, allowing flexibility in a wide range of wave-based problems. We were able to take advantage of waveform-adapted meshes on higher-order elements, demonstrating these elements' capability of accurately inverting 2D and 3D problems while maintaining good parallel strong-scaling. Our findings also offer insights into the accuracy and computational performance of different element geometries and polynomial degrees and advise on which element to use based on the bottleneck present in a high-performance computing environment, be it either memory or runtime related. Results are also available in public open-source code. #NDF #RCGI #USP

Universidade de São Paulo is the best Brazilian university according to the Folha University Ranking (RUF). In the tenth edition of the Folha de S.Paulo ranking, universities were evaluated according to the following indicators with their respective scores: scientific research (42%), teaching quality (32%), labor market assessment (18%), internationalization (4%) and innovation (4%). In addition to obtaining the highest overall ranking, #USP is the best evaluated in 33 undergraduate careers, including Mechanical Engineering. For more information visit: bit.ly/3CqZsz9 #NDF #USP

Yesterday was the last day of #ETRI2024. The annual conference of the Research Centre for Greenhouse Gas Innovation (RCGI) brought together researchers, representatives of companies, public authorities and the third sector to present technological advances for the energy transition in Brazil and around the world. We congratulate all the researchers from our laboratory who presented their studies and shared their insights: Roberto Jr.: Numerical Simulation and Modeling of Membrane Modules for CO2 Capture from Flue Cells Marielle de Oliveira: Structural Behavior of Cylindrical Reactors in Methanol Synthesis from CO2: Considering Hydrogen-Induced Corrosion/Enhancing the Visualization of CFD Simulation Results of IEA 15 MW Offshore Wind Turbine Through Virtual Reality Felipe Fideles De Câmara: Second Law analysis of the condensation process in adiabatic supersonic expansion Vinicius Branzani Leite/Bruno Carmo: Comparative Analysis of Turbine Performance with Eroded and Non-Eroded Blades Using Springer's Rain Erosion Model The exchange of knowledge and experiences at #ETRI2024 strengthens the commitment of #RCGI and its partners to building solutions for a low-carbon economy. #NDF #RCGI #ETRI2024 #USP