Publicações - engenharias
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Stela Schiochett Virmond Vieira;
Fernando Augusto Pedersen Voll;
KRIEGER, NADIA;
MITCHELL, DAVID ALEXANDER
Palavra-chave:
lipase;
Selectivity;
specificity constant
Áreas do conhecimento:
Engenharias; Engenharia Química; Processos Industriais de Engenharia Química; Processos Bioquímicos
resumo ...
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DOVICHI FILHO, FERNANDO BRUNO;
DE SOUSA, LAURA VIEIRA MAIA;
LORA, ELECTO EDUARDO SILVA;
PALACIO, JOSÉ CARLOS ESCOBAR;
BORGES, PEDRO TAVARES;
BARROS, REGINA MAMBELI;
JAEN, RENÉ LESME;
Marcelo Risso Errera;
QUINTERO, QUELBIS ROMAN
Palavra-chave:
bioenergia;
energia de biomassa residual;
Analise Exergetica;
Termodinâmica
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Over recent decades, human activities have essentially depended on fossil fuels. The last Intergovernmental Panel on Climate Change reports recommend a shift to renewables and a more energy-efficient economy. To fulfill the potential of bioenergy, tools are required to overcome the complexities of the decision-making processes for viable projects. This work presents a decision-making tool to select the most feasible biomass residues and a case study of the state of Minas Gerais, in Brazil. Among the 13 evaluated criteria, eucalyptus residues demonstrated the highest potential for electricity production, followed by sugarcane bagasse and coffee husks. The choice of Minas Gerais as a case study is important due to its diverse agricultural landscape and the potential for biomass residue generation. The presented methodology uses the Analytical Hierarchy Process (AHP), a multi-criteria decision-making method (MCDM). Thirteen criteria were required to enable the best choice of biomass residue alternatives for electricity generation, which experts in the bioenergy field evaluated. The technical criterion was shown to be the one with the highest degree of importance. The results of the study identified that CO2eq emissions (11.46%) and electricity demand (ED) were the most relevant sub-criteria for prioritizing the viability of agricultural waste. Eucalyptus was ranked as the most promising biomass, followed by sugarcane bagasse and coffee husks. In addition, the use of GIS tools made it possible to map the regions with the greatest potential in Minas Gerais, providing a robust approach to identifying strategic sites for bioenergy.
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Priscila Dombrovski Zen;
Pinto, M.A.V.;
Sebastião Romero Franco
Palavra-chave:
Full approximation scheme;
Dirichlet;
Convective;
Convergence factor;
Speed-up
Áreas do conhecimento:
Ciências Exatas e da Terra; Matemática; Matemática Aplicada; Análise Numérica;
Engenharias; Engenharia Mecânica; Fenômenos de Transporte; Princípios Variacionais e Métodos Numéricos
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OLIVEIRA, ÁDAMO HENRIQUE ROCHA DE;
Gideon Villar Leandro
Palavra-chave:
Dynamic angle-penalized distance;
Dynamic many-objective problems;
Grid-based;
Reference vector
Áreas do conhecimento:
Engenharias; Engenharia Elétrica; Inteligência Artificial
resumo ...
Dynamic many-objective optimization problems (DMaOPs) are a class of problems involving more than three objectives. Their objective functions, search space, or constraints may change over time. Dynamic many-objective evolutionary algorithms (DMaOEAs) are typically used to solve DMaOPs and primarily consist of a static optimizer, a change detection mechanism, and a change response mechanism. In this paper, a new hybrid DMaOEA based on the reference vector guided evolutionary algorithm (RVEA) and the grid-based evolutionary algorithm (GrEA), called the dynamic reference vector and grid-based evolutionary algorithm (DRVGrEA), is proposed. In the selection stage of DRVGrEA, a new dynamic angle-penalized distance (DAPD) is introduced to balance convergence and diversity uniformly across all dynamic environments of the problem. At this stage, the GrEA grid-based indicators are still used as a secondary selection mechanism. These mechanisms are applied to different parts of the solutions. To evaluate the performance of the proposed algorithm, several experiments were conducted that compared DRVGrEA with six DMaOEAs, including five based on classical algorithms from the literature and one recently proposed method. The experiments used the SDP1–15 benchmark with 4, 6, 8, 10, 12, and 15 objectives. The results demonstrate that DRVGrEA outperforms or at least matches the performance of the other DMaOEAs. Furthermore, DRVGrEA was also applied to a real-world control problem, namely the PID tuning of an Automatic Voltage Regulator system, where it achieved superior performance compared to all competing algorithms.
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FILHO, FERNANDO BRUNO DOVICHI;
Electo Eduardo Silva Lora;
YEPES MAYA, DIEGO MAURICIO;
José Carlos Escobar Palacio;
Osvaldo José Venturini;
DE SOUSA, LAURA VIEIRA MAIA;
MAYER, FLÁVIO DIAS;
Marcelo Risso Errera
Palavra-chave:
Biomass;
Agricultural residues;
bioenergy;
MCDM;
GIS;
Power Generation
Áreas do conhecimento:
Engenharias; Engenharia Mecânica; Aproveitamento da Energia;
Engenharias; Engenharia de Energia; Fontes Renováveis de Energia; Energia Solar Fotovoltáica
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This study presents a methodology for assessing the technical and economic potential of electricity generation from biomass residues, using thermochemical conversion technologies. Applied in the state of Minas Gerais, Brazil, the analysis focuses on residues from corn, soybean, coffee, eucalyptus, and sugarcane. A multi-criteria decision-making (MCDM) approach, integrated with GIS, was used to identify the most viable biomass sources and most suitable conversion technologies, namely the Rankine cycle, organic Rankine cycle, and gasification with internal combustion engines, based on Technological Readiness Levels (TRLs). Eucalyptus emerged as the most suitable residue due to its high energy density, while sugarcane residues were the most abundant. The economic feasibility analysis indicates levelized costs ranging from USD 0.10 to USD 0.24 per kWh, with the conventional Rankine cycle emerging as the most cost-effective option for plants with a capacity exceeding 5 MWe. The proposed methodology supports strategic bioenergy planning by integrating geospatial, technological, and economic factors.
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Maicon Felipe Malacarne;
Pinto, M.A.V.;
Sebastião Romero Franco
Palavra-chave:
Implicit schemes;
Finite Difference Method;
High-Order method;
Parallel algorithms
Áreas do conhecimento:
Ciências Exatas e da Terra; Matemática; Matemática Aplicada; Análise Numérica;
Engenharias; Engenharia Mecânica; Fenômenos de Transporte; Princípios Variacionais e Métodos Numéricos
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(en)
In this paper we compare the implicit schemes for the solution of the two-dimensional wave equation using Singlegrid and Multigrid methods. The discretization is performed using the Finite Difference Method, weighted in time by an established parameter. The parallelization of the algorithms is ensured by employing the Waveform Relaxation method, where numerical stability is achieved by applying the method of subdomains in time. The primary innovation of this work lies in the development of a high-order method that harnesses the parallelizability and robustness of the Multigrid method, enabling efficient solutions to the 2D wave equation. These methods also effectively mitigate oscillations that would otherwise significantly increase the maximum residual, a concern arising from the application of the standard Waveform Relaxation method.
(pt)
In this paper we compare the implicit schemes for the solution of the two-dimensional wave equation using Singlegrid and Multigrid methods. The discretization is performed using the Finite Difference Method, weighted in time by an established parameter. The parallelization of the algorithms is ensured by employing the Waveform Relaxation method, where numerical stability is achieved by applying the method of subdomains in time. The primary innovation of this work lies in the development of a high-order method that harnesses the parallelizability and robustness of the Multigrid method, enabling efficient solutions to the 2D wave equation. These methods also effectively mitigate oscillations that would otherwise significantly increase the maximum residual, a concern arising from the application of the standard Waveform Relaxation method.
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Vanessa Terezinha Ales;
Pinto, M.A.V.;
Sebastião Romero Franco;
GONÇALVES, S.F.T.
Palavra-chave:
Multigrid;
Parallelizable solver;
Poroelasticity;
Temporal sweep;
Uzawa
Áreas do conhecimento:
Ciências Exatas e da Terra; Matemática; Matemática Aplicada; Análise Numérica;
Engenharias; Engenharia Mecânica; Fenômenos de Transporte; Princípios Variacionais e Métodos Numéricos
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ALMEIDA, CAMILA DE CARVALHO;
KISSULA, JULIANA CRISTINA JANSSON;
CARVALHO, JOÃO MARCOS;
FERREIRA, DANIELI MARA;
COELHO, MARCELO;
DETZEL, DANIEL HENRIQUE MARCO;
Cristovão Vicente Scapulatempo Fernandes
Palavra-chave:
Socio-hydrology;
urban water management
Áreas do conhecimento:
Engenharias; Engenharia Sanitária; Recursos Hídricos; Planejamento Integrado dos Recursos Hídricos
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ABSTRACT Urban rivers are increasingly impacted by domestic pollution, mainly due to...
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Évelyn Paniz Possebon;
POZEBON, JULIA;
SILVA, DÉBORA BRETAS;
FERNANDES FIGUEIREDO, BEATRIZ
Palavra-chave:
aerogel de sílica;
construção sustentável;
eficiencia energetica;
Isolamento térmico;
Viabilidade econômica
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Maurício Felga Gobbi
Palavra-chave:
wave breaking,;
random waves,;
wavelet analysis,;
coastal processes.
resumo ...
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