Desempenho termoenergético de habitação de interesse social

Pós-graduação em Engenharia Elétrica - FEIS

Exploring the water-energy nexus in Brazil: the electricity use for water supply

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Performance of the CMS missing transverse momentum reconstruction in pp data at root s=8 TeV

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

The benefits of soft sensor and multi-rate control for the implementation of wireless networked control systems

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Desenvolvimento de metodologia de eficiência energética para aplicação em processos industriais de laticínios

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desempenho de colhedoras de cana-de-açúcar em função do perfil de carga do motor

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Custos energéticos do agroecossistema pinhão-manso e milho: comparativo entre o sistema de condução sequeiro e o irrigado

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Eficiência energética da produção de café orgânico na região sul de Minas Gerais

In this study, organic coffee production systems energy efficiency was estimate. So, an itinerary technical was built since the deployment phase up to the organic coffee production. The inputs used (labor, machine hours, pesticides, fertilizers, etc.) converted into energy units, quantified the energy input, while the production of organic coffee beans benefited was constituted the energy output. Data collection was based on an intentional and non-probabilistic sampling. Nine farmers were interviewed whose main source of income was the coffee production and had keep records of the culture data. The balances were positive, with an energy yield of 626.465MJ.ha-1, compared to an energy expenditure of 112.998MJ.ha-1 during the crop cycle. It is concluded that organic coffee production is energy efficient.

Análise de oportunidades de poligeração em edificações e cidades

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Gestão energética nos setores transversais para redução do consumo de energia em uma empresa automobilística

Pós-graduação em Engenharia de Produção - FEG

Consumo de energia em escalonadores de transações em sistemas de memória transacional em software

Pós-graduação em Ciência da Computação - IBILCE

Layered Clustering Communication Protocol for Wireless Sensor Networks

In this paper, we propose a Layered Clustering Hierarchy (LCH) communication protocol for Wireless Sensor Networks (WSNs). The design of LCH has two goals: scalability and energy-efficiency. In LCH, the sensor nodes are organized as a layered clustering structure. Each layer runs a distributed clustering protocol. By randomizing the rotation of cluster heads in each layer, the energy load is distributed evenly across sensors in the network. Our simulations show that LCH is effective in densely deployed sensor networks. On average, 70% of live sensor nodes are involved directly in the clustering communication hierarchy. Moreover, the simulations also show that the energy load and dead nodes are distributed evenly over the network. As studies prove that the performance of LCH depends mainly on the distributed clustering protocol, the location of cluster heads and cluster size are two critical factors in the design of LCH.

Consumo de energia em escalonadores de transações em sistemas de memória transacional em software

Pós-graduação em Ciência da Computação - IBILCE

Strategies in identifying individuals in a segregant population of common bean and implications of genotype x environment interaction in the success of selection

The objective of this study was to compare the BLUP selection method with different selection strategies in F-2:4 and assess the efficiency of this method on the early choice of the best common bean (Phaseolus vulgaris) lines. Fifty-one F-2:4 progenies were produced from a cross between the CVIII8511 x RP-26 lines. A randomized block design was used with 20 replications and one-plant field plots. Character data on plant architecture and grain yield were obtained and then the sum of the standardized variables was estimated for simultaneous selection of both traits. Analysis was carried out by mixed models (BLUP) and the least squares method to compare different selection strategies, like mass selection, stratified mass selection and between and within progeny selection. The progenies selected by BLUP were assessed in advanced generations, always selecting the greatest and smallest sum of the standardized variables. Analyses by the least squares method and BLUP procedure ranked the progenies in the same way. The coincidence of the individuals identified by BLUP and between and within progeny selection was high and of the greatest magnitude when BLUP was compared with mass selection. Although BLUP is the best estimator of genotypic value, its efficiency in the response to long term selection is not different from any of the other methods, because it is also unable to predict the future effect of the progenies x environments interaction. It was inferred that selection success will always depend on the most accurate possible progeny assessment and using alternatives to reduce the progenies x environments interaction effect.

Performance and composition of bacterial communities in anaerobic fluidized bed reactors for hydrogen production: Effects of organic loading rate and alkalinity

This study evaluated the effects of the organic loading rate (OLR) and pH buffer addition on hydrogen production in two anaerobic fluidized bed reactors (AFBRs) operated simultaneously. The AFBRs were fed with glucose, and expanded clay was used as support material. The reactors were operated at a temperature of 30 degrees C, without the addition of a buffer (AFBR1) and with the addition of a pH buffer (AFBR2, sodium bicarbonate) for OLRs ranging from 19.0 to 140.6 kg COD m(-3) d(-1) (COD: chemical oxygen demand). The maximum hydrogen yields for AFBR1 and AFBR2 were 2.45 and 1.90 mol H-2 mol(-1) glucose (OLR of 84.3 kg COD m(-3) d(-1)), respectively. The highest hydrogen production rates were 0.95 and 0.76 L h(-1) L-1 for AFBR1 and AFBR2 (OLR of 140.6 kg COD m(-3) d(-1)), respectively. The operating conditions in AFBR1 favored the presence of such bacteria as Clostridium, while the bacteria in AFBR2 included Clostridium, Enterobacter, Klebsiella, Veillonellaceae, Chryseobacterium, Sporolactobacillus, and Burkholderiaceae. Copyright (C) 2012, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.