Base de dados : LILACS
Pesquisa : G01.750.897 [Categoria DeCS]
Referências encontradas : 30 [refinar]
Mostrando: 1 .. 10   no formato [Detalhado]

página 1 de 3 ir para página          

  1 / 30 LILACS  
              next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1055425
Autor: Lara Filho, Mauro Obladen de; Unsihuay-Vila, Clodomiro; Silva, Vilson Roiz Gonçalves Rebelo da.
Título: Technical and economic viability of the installation of a hybrid solar-wind generation system in a Brazilian industry
Fonte: Braz. arch. biol. technol;62(spe):e19190005, 2019. tab, graf.
Idioma: en.
Resumo: Abstract The demand for electricity is growing worldwide. At the same time, the non-renewable natural resources that account for a large proportion of the global energy matrix are rapidly depleting, which will pose a major challenge in the near future. Therefore, micro-grid models that use renewable energy sources, such as solar and wind, are rapidly developing and are becoming economically viable alternatives. The objective of this study was to evaluate the economic viability of installing solar and wind power generation systems in the NOVVALIGHT electrical components factory located in Campo Largo, Paraná, Brazil. The most viable model was the combination of solar and wind energy, which would generate approximately 260 MWh of energy per year. Using financing provided by the Brazilian Bank for Economic and Social Development (BNDES), this proposal has an eight-year payback period, net present value of BRL 149,097.42, and internal rate of return of 18%, demonstrating its economic viability.
Descritores: Energia Solar/economia
Energia Eólica/economia
-Brasil
Indústrias
Responsável: BR1.1 - BIREME


  2 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1055427
Autor: Danderfer, Rafael de Freitas Gasparelo; Pinto, Camila Scotti; Cremasco, Nicole Polityto; Gruetzmacher, Sarah Beatriz; Leludak, Jorge Assade; Tiepolo, Gerson Máximo; Sodré, Caio Jorge Martins; Bronhara, Renan de Oliveira.
Título: Development of a Standard of Solarimetric Stations SONDA
Fonte: Braz. arch. biol. technol;62(spe):e19190015, 2019. tab, graf.
Idioma: en.
Projeto: COPEL-Distribuição.
Resumo: Abstract With the increasing of energy demand in Brazil and the unprecedent popular support for the use of energy sources with low environmental impact, the market for photovoltaic energy has become progressively relevant. Thus, it is of strategic importance to gather information of the solar resources either for a particular location or a specific region. This paper presents all the steps taken in order to design a solarimetric station intended to be used as part of the National Institute for Space Research's(INPE)Environmental Database System (SONDA)network, from the specification of the devices and sensors that will take part in it to the structural dimensioning necessary in order to accommodate them. This high-quality network mainly collects and stores surface solar radiation data, indispensable for the solar energy study and prospecting, therefore of great importance for the generation of energy of the State of Paraná- Brazil.
Descritores: Energia Solar
-Brasil
Radiação Solar
Energia Fotovoltaica
Responsável: BR1.1 - BIREME


  3 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1285563
Autor: Maciel, Joylan Nunes; Wentz, Victor Hugo; Ledesma, Jorge Javier Gimenez; Ando Junior, Oswaldo Hideo.
Título: Analysis of Artificial Neural Networks for Forecasting Photovoltaic Energy Generation with Solar Irradiance
Fonte: Braz. arch. biol. technol;64(spe):e21210131, 2021. tab, graf.
Idioma: en.
Projeto: Triple Agenda Institutional Program of the Federal University of Latin American Integration; . Araucária Foundation of Support to the Scientific and Technological Development of the State of Paraná; . Brazilian National Council for Scientific and Technological Development.
Resumo: Abstract The growth in the use of solar energy has encouraged the development of techniques for short-term prediction of solar photovoltaic energy generation (PSPEG). Machine learning with Artificial Neural Networks (ANNs) is the most widely used technique to solve this problem. However, comparative studies of these networks with distinct structural configurations, input parameters and prediction horizon, have not been observed in the literature. In this context, the aim of this study is to evaluate the prediction accuracy of the Global Horizontal Irradiance (GHI), which is often used in the PSPEG, generated by ANN models with different construction structures, sets of input meteorological variables and in three short-term prediction horizons, considering a unique database. The analyses were performed with controlled environment and experimental configuration. The results suggest that ANNs using the input GHI variable provide better accuracy (approximately 10%), and their absence increases error variability. No significant difference (p>0.05) was identified in the prediction error models trained with distinct meteorological input data sets. The prediction errors were similar for the same ANN model in the different prediction horizons, and ANNs with 30 and 60 neurons with one hidden layer demonstrated similar or higher accuracy than those with two hidden layers.
Descritores: Energia Solar
-Redes Neurais de Computação
Radiação Solar
Energia Fotovoltaica
Responsável: BR1.1 - BIREME


  4 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1285570
Autor: Aquino, Cyntia Cristinne Corrêa Baia de; Vila, Clodomiro Unsihuay.
Título: Optimal Dispatch and Technical and Economic Feasibility Analysis of Residential Microgrids Considering Demand Side Management
Fonte: Braz. arch. biol. technol;64(spe):e21200293, 2021. tab, graf.
Idioma: en.
Projeto: Companhia Paranaense de Energia; . CAPES-PRINT-UFPR.
Resumo: Abstract The electrical system is becoming more robust with the insertion of distributed energy resources (DERs) and the need for energy autonomy by consumers, given that the current scenario is a growth in demand for electric energy. This paper aims to apply a computational model capable of determining the optimal hourly allocation of controllable loads in residence, as well as studying the optimal dispatch of residential microgrids considering management on the demand side. In addition, this paper presents an economic feasibility analysis of residential microgrids considering distributed generation from wind and solar sources, distributed storage, electric vehicles, and residential controllable loads. Thus, it was possible to conclude that in residence, the insertion of distributed energy generation and storage elements can present a significant reduction in electric energy costs, which can be even greater if these elements are associated with optimized controllable load management.
Descritores: Veículos Automotores
Instalação Elétrica
Energia Eólica
-Energia Solar
Responsável: BR1.1 - BIREME


  5 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1055438
Autor: Souza, Muriele Bester de; Tonolo, Édwin Augusto; Yang, Renata Lautert; Tiepolo, Gerson Máximo; Urbanetz Junior, Jair.
Título: Determination of Diffused Irradiation from Horizontal Global Irradiation - Study for the City of Curitiba
Fonte: Braz. arch. biol. technol;62(spe):e19190014, 2019. tab, graf.
Idioma: en.
Projeto: UTFPR.
Resumo: Abstract Understanding the solar radiation values ​​in the surface is important for the development of solar energy projects, obtaining through radiometers installed in certain places or publications as in solar energy atlases. Typically, solar or weather stations do not have sensors to measure diffuse irradiation due to high investment and the need for constant maintenance. This paper presents methods for the determination of diffuse irradiation from surface measured data of global horizontal irradiation in the city of Curitiba, obtained through pyranometers installed at the Federal University of Technology - Paraná (UTFPR) headquarters and from Curitiba-A807 National Institute of Meteorology (INMET) station. Two models are presented for the estimation of the monthly mean daily diffuse irradiation, based on the studies of Liu and Jordan (1960) and Page (1961). Finally, these data were compared with those presented by the Solar Energy Atlas - Paraná, verifying the percentage differences presented. It was observed that the model elaborated by Page presented better results in the diffuse radiation estimates when compared to the values ​​presented by the Paraná Atlas, with an average variation of -1.39% and -1.55%, for data from INMET and UTFPR respectively.
Descritores: Energia Solar
Estatística como Assunto
Radiação Solar/métodos
-Brasil
Responsável: BR1.1 - BIREME


  6 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1055439
Autor: Yang, Renata Lautert; Tiepolo, Gerson Máximo; Tonolo, Édwin Augusto; Urbanetz Junior, Jair; Souza, Muriele Bester de.
Título: Photovoltaic Cell Temperature Estimation for a Grid-Connect Photovoltaic Systems in Curitiba
Fonte: Braz. arch. biol. technol;62(spe):e19190016, 2019. tab, graf.
Idioma: en.
Resumo: Abstract The photovoltaic solar energy has been growing in installed capacity worldwide year by year, and Brazil has also been investing in this renewable source of energy generation. The conversion of light into electrical energy occurs in the photovoltaic cells, which are sensitive to the increase of the temperature. A considerable amount of the energy incident on the module is transformed into heat, rising its temperature and decreasing its efficiency. This study aims to estimate the temperature in photovoltaic cells (Tc) for polycrystalline silicon modules from a grid-connected photovoltaic systems through several equations proposed over the last decades by researchers. This estimation will occur in the municipality of Curitiba, using data from INMET's automatic station, located in the same city. The estimation was calculated hourly, throughout the day for one year. The validation of the estimated results was performed by measuring the cell temperature of a photovoltaic system installed in Curitiba, where it was observed that the equation proposed by Duffie and Beckman (2013) was the one that most approached to the measured value.
Descritores: Energia Solar
Energia Fotovoltaica
-Brasil
Instalação Elétrica
Responsável: BR1.1 - BIREME


  7 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1055440
Autor: Urbanetz, Isabela Valpecovski; Moura Netto, Allana de; Scolari, Bruno; Leite, Vicente; Urbanetz Junior, Jair.
Título: Current Panorama and 2025 Scenario of Photovoltaic Solar Energy in Brazil
Fonte: Braz. arch. biol. technol;62(spe):e19190011, 2019. graf.
Idioma: en.
Resumo: Abstract The photovoltaic solar energy in Brazil was boosted by Normative Resolution No. 482/2012 of ANEEL, which regulated the micro and mini generation in the compensation system, and by the specific auctions for photovoltaic plants carried out by the federal government. However, the country still has little representation of the solar energy in its electrical matrix, about 0.13%, with approximately 1% of the installed capacity of electric power generators considering all the sources, both values ​​refer to the year 2017. In the initial moments of a technology, its growth occurs irregularly and because there is little installed capacity, any added value can cause abrupt variations in the percentage from one year to another, that is, its growth still does not follow a sustainable standard, which should be regularized around the year 2025, following the worldwide trend of growth of approximately 30% each year. As a scenario for 2025, the total power of the PVSGC in Brazil will be approximately 75.6 GWp which will represent 98.3 TWh of electric energy produced by this source, considering the estimated electric energy demand for 2025 of 800 TWh, will result in the contribution of 12.3% of the energy by solar photovoltaic source.
Descritores: Energia Solar
Energia Fotovoltaica
-Brasil
Consumo de Energia
Responsável: BR1.1 - BIREME


  8 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1278458
Autor: Silveira, Camila de Oliveira; Urbanetz Junior, Jair.
Título: Performance Estimation of Grid Connected Photovoltaic Systems in Different Regions in Paraná
Fonte: Braz. arch. biol. technol;64(spe):e21200099, 2021. tab, graf.
Idioma: en.
Projeto: COPEL - Distribution; . COPEL - Distribution.
Resumo: Abstract The obtaining of electric energy from solar energy through photovoltaic systems shows great growth due to the solar potential present in the Brazilian territory. In the State of Paraná, studies are recurrent in public and private sectors on the development and performance of this technology. The installation and commissioning processes of photovoltaic plants are linked to the expectation of energy generation and the performance of the system through the figures of merit. The feasibility of the project can be confirmed when the results of these parameters are satisfactory and correspond to averages obtained from already consolidated surveys. The six photovoltaic systems implemented at the Federal Technological University of Paraná have expectations of generation and performance consistent with those of previous studies and will contribute to scientific advancement on the behavior of systems with different technologies located in different regions in the state.
Descritores: Coletores Solares
Energia Fotovoltaica
-Energia Solar
Brasil
Responsável: BR1.1 - BIREME


  9 / 30 LILACS  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1278461
Autor: Kulik, Ana Carolina; Silva, Josiane Gonçalves da; Gabriel, Jânio Denis; Tonolo, Édwin Augusto; Urbanetz Junior, Jair.
Título: Integration of a Pilot PV Parking Lot and an Electric Vehicle in a University Campus Located in Curitiba: a Study Case
Fonte: Braz. arch. biol. technol;64(spe):e21210140, 2021. tab, graf.
Idioma: en.
Resumo: Abstract Considering the increasing adoption of Hybrid Plug-in and Electric Cars, there are concerns about recharging process of these vehicles considering the capacity of grid to provide sufficient energy to that purpose. In the past years, the growth of distributed energy generation from renewable and clean energy sources, especially photovoltaics, represents a possible and feasible solution to supply the energy used on recharging electric vehicles and reduction of greenhouse emission gases as CO2. This article is a study case that analyzes the energy production of a solar carport, located at Federal Technological University of Paraná (UTFPR) at Neoville Campus, comparing with energy consumption of a commercial electric car for a city use purpose. Based on solar energy generation, data from the web monitoring platform, real positioning characteristics of the solar carport installation, irradiation data collected from the National Institute of Meteorology basis and with a solarimetric station located at the same place as the solar carport is installed, the solar energy production is rated using three different metrics: yield, performance ratio and capacity factor. These metrics are calculated with RADIASOL2 software, a free and precise tool, developed by Federal University of Rio Grande do Sul (UFRGS) to execute computational simulation of photovoltaic systems using mathematical models. The results showed a slightly low energy production performance than expected, but more than enough energy to recharge an electric vehicle for a day use, demonstrating that a solar carport system could be a good solution to meet the energy demand for this application.
Descritores: Fontes de Energia Elétrica
Energia Solar
Automóveis
Recarga Artificial
Responsável: BR1.1 - BIREME


  10 / 30 LILACS  
              first record previous record
seleciona
para imprimir
Fotocópia
Texto completo SciELO Brasil
Texto completo
Id: biblio-1278463
Autor: Torres, Norah Nadia Sánchez; Diaz, Valentin Nicolas Silvera; Ando Junior, Oswaldo Hideo; Ledesma, Jorge Javier Gimenez.
Título: Analysis of the technical feasibility of using artificial intelligence for smoothing active power in a photovoltaic system connected to the power system
Fonte: Braz. arch. biol. technol;64(spe):e21210196, 2021. tab, graf.
Idioma: en.
Projeto: Institutional Program Triple Agenda; . Federal University of Integration of Latin America; . CAPES; . CNPq; . ITAI; . P&D COPEL.
Resumo: Abstract Recent technological advances and increased participation of energy systems based on photovoltaic solar energy place this renewable energy source in a prominent position in the current scenario. With the increase in the share of solar photovoltaic systems, the impact of power fluctuations in these sources has worsened, which can affect the quality of electrical energy and the reliability of the electrical power system. Therefore, with the use of energy storage together with control algorithms based on artificial intelligence, it is possible to control and perform power smoothing. In this context, the study presents a technical feasibility study on the use of artificial neural network (ANN) to perform the power smoothing of the photovoltaic system connected to the network. Being studied the performance of a real photovoltaic system operating in conjunction with an ideal energy storage for comparative analysis of the performance of the artificial neural network when the numbers of neurons and layers are modified for different real operating conditions considered as temperature variation, humidity, irradiation, pressure and wind speed, which are considered to be ANN input data. The results obtained point to the feasibility of using ANN, with acceptable precision, for power smoothing. According to the analyzes carried out, it is clear that ANN's with few neurons, the smoothing profile tends to be more accurate when compared to larger amounts of neurons. In the current state of the study, it was not possible to determine a relationship between the variations in the number of neurons with the most accurate results, it is important to note that the development of the curve pointed by the neural network can be influenced by the database. It should be noted that, when ANN exceeds or does not reach the optimal smoothing curve, the storage system compensates for the lack or excess of power, and there is a need for other mechanisms to optimize power smoothing.
Descritores: Energia Solar
Redes Neurais de Computação
Fontes Geradoras de Energia
Sistemas Microeletromecânicos/métodos
-Inteligência Artificial
Estudos de Viabilidade
Responsável: BR1.1 - BIREME



página 1 de 3 ir para página          
   


Refinar a pesquisa
  Base de dados : Formulário avançado   

    Pesquisar no campo  
1  
2
3
 
           



Search engine: iAH v2.6 powered by WWWISIS

BIREME/OPAS/OMS - Centro Latino-Americano e do Caribe de Informação em Ciências da Saúde