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Study of the Potential of Photovoltaic Microgeneration and Minigeneration from the Grid-Connected Photovoltaic Systems Installed at UTFPR Curitiba Campus BABT
Silveira,Camila de Oliveira; Krasnhak,Larissa Barbosa; Tonolo,Édwin Augusto; Urbanetz Junior,Jair.
Abstract: Humanity is increasingly dependent on energy, which demand grows every year. Renewable energy sources are consolidated alternatives in the market, previously installed on a small scale but now thought as large plants. The correct operation, taking full advantage of the generation potential, depends on studies of the place of implantation, such as radiation levels, temperature, latitude, etc. Two photovoltaic systems installed in the city of Curitiba were studied in order to monitor their respective performances through figures of merit.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Photovoltaic system; Power capacity; Power generation; Figures of merit.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000200221
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Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis Ciênc. Tecnol. Aliment.
RAMBO,Magale Karine Diel; FERREIRA,Márcia Miguel Castro; MELO,Polyana Morais de; SANTANA JUNIOR,Claúdio Carneiro; BERTUOL,Daniel Assumpção; RAMBO,Michele Cristiane Diel.
Abstract The real-time prediction in biorefinery industries has become essential. Models using partial least square regression (PLS) were developed to predict moisture, ash, volatile matter, fixed carbon and organic matter of coconut and coffee residues. In this study, 49 samples were collected and near infrared spectroscopy were applied to predict moisture, ash, volatile matter, fixed carbon and organic matter. For external validation 25% of the set samples were used. Moisture and volatile matter were predicted with coefficients of determination (R2cal) above 0.90, and standard errors (RSD) of the estimate of 14.4% and 2.26%, respectively. Models of ash and organic matter show R2cal > 0.77 and RSD values < 20.4%. For the external validation, the low...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biomass; Figures of merit; Pre-treatments; External validation.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612020000200444
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