Eficiência energética em uma indústria madeireira

In wood processing industries, which use electrical equipment in the production process, in most cases these are badly scaled or operate under inadequate conditions, resulting directly in industrial energy efficiency, which proves important because besides having technological innovation, also with practices and policies, aims to decrease power consumption. So in a wiring project should take into account the variables that influence energy efficiency. Thus this work has been reviewed and subsequently calculated some of these variables, such as active power, power factor and demand for the entire industry (global) and also for specific equipment, the chipper. The network analysis was performed in a wood processing industry in the city of Taquarivaí - SP, and evaluated these variables with a network analyzer and also by analysis on energy bills, which were found in both analysis levels below those found in literature. These factors are due to poor design, improper use, storage of equipment or even by characteristic of the production process, ie, the equipment running on empty because of the volatility of production

A Semi-Continuous Analyzer for the Fluorimetric Determination of Atmospheric Formaldehyde

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data

Until mid 2006, SCIAMACHY data processors for the operational retrieval of nitrogen dioxide (NO2) column data were based on the historical version 2 of the GOME Data Processor (GDP). On top of known problems inherent to GDP 2, ground-based validations of SCIAMACHY NO2 data revealed issues specific to SCIAMACHY, like a large cloud-dependent offset occurring at Northern latitudes. In 2006, the GDOAS prototype algorithm of the improved GDP version 4 was transferred to the off-line SCIAMACHY Ground Processor (SGP) version 3.0. In parallel, the calibration of SCIAMACHY radiometric data was upgraded. Before operational switch-on of SGP 3.0 and public release of upgraded SCIAMACHY NO2 data, we have investigated the accuracy of the algorithm transfer: (a) by checking the consistency of SGP 3.0 with prototype algorithms; and (b) by comparing SGP 3.0 NO2 data with ground-based observations reported by the WMO/GAW NDACC network of UV-visible DOAS/SAOZ spectrometers. This delta-validation study concludes that SGP 3.0 is a significant improvement with respect to the previous processor IPF 5.04. For three particular SCIAMACHY states, the study reveals unexplained features in the slant columns and air mass factors, although the quantitative impact on SGP 3.0 vertical columns is not significant.