Consumo de energia e custo de secagem de café cereja em propriedades agrícolas do sul de Minas Gerais

Reinato, Carlos Henrique Rodrigues; Borém, Flávio Meira; Vilela, Evódio Ribeiro; Carvalho, Franscisval M.; Meireles, Eduardo

doi:10.1590/s1415-43662002000100020

Cited by 8 publications

(8 citation statements)

References 1 publication

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“…It is observed that wood was the fuel that resulted in the lowest drying costs. Despite showing the lowest calorific value, the wood has also a low acquisition cost, which makes this fuel viable for drying agricultural products, a result also observed by other authors (REINATO et al, 2002;SANTOS et al, 2006;AFONSO JÚNIOR et al, 2006;COSTA et al, 2010). The drying cost of corn using LPG with initial and final water content of 18% w.b.…”

Section: Resultsmentioning

confidence: 54%

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A decision support system for cost determination in grain storage facility operations

Valente¹,

Queiroz²,

Corrêa³

et al. 2011

Eng. Agríc.

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Many research works have being carried out on analyzing grain storage facility costs; however a few of them had taken into account the analysis of factors associated to all preprocessing and storage steps. The objective of this work was to develop a decision support system for determining the grain storage facility costs and utilization fees in grain storage facilities. The data of a CONAB storage facility located in Ponta Grossa -PR, Brazil, was used as input of the system developed to analyze its specific characteristics, such as amount of product received and stored throughout the year, hourly capacity of drying, cleaning, and receiving, and dispatch. By applying the decision support system, it was observed that the reception and expedition costs were exponentially reduced as the turnover rate of the storage increased. The cleaning and drying costs increased linearly with grain initial moisture. The storage cost increased exponentially as the occupancy rate of the storage facility decreased.KEYWORDS: costs, modeling, software. UM SISTEMA DE APOIO À DECISÃO PARA DETERMINAÇÃO DE TARIFAS EM UNIDADES ARMAZENADORAS DE GRÃOSRESUMO: Vários trabalhos de análise de custos em unidades armazenadoras de produtos agrícolas foram conduzidos; no entanto, poucos abordam as análises dos efeitos dos fatores associados a cada uma das etapas do pré-processamento e armazenagem. Desse modo, o objetivo deste trabalho foi desenvolver um sistema de apoio à decisão para determinação de custos e tarifas em unidades armazenadoras de produtos agrícolas. Uma unidade da CONAB, localizada em Ponta Grossa -PR, foi usada para geração de resultados conforme suas características específicas, tais como quantidade de produto recebido e estocado ao longo do ano, capacidade horária de secagem, limpeza, recepção e expedição. Ao empregar o sistema de apoio à decisão, foi constatado que os custos de recepção e expedição diminuem exponencialmente com o aumento do índice de rotatividade da unidade armazenadora; que os custos de limpeza e secagem foram aproximadamente lineares e crescentes com o aumento do teor de água inicial do produto, e que o custo de armazenagem apresentou comportamento exponencial crescente com a redução do índice de ocupação da unidade armazenadora.

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Section: Resultsmentioning

confidence: 54%

“…REINATO et al (2002) evaluated the energy consumption and cost of drying coffee cherries using firewood and liquefied petroleum gas (LPG). The authors found that the drying cost using LPG was 2.25 to 4-fold higher than with using wood.…”

Section: Introductionmentioning

confidence: 99%

A decision support system for cost determination in grain storage facility operations

Valente¹,

Queiroz²,

Corrêa³

et al. 2011

Eng. Agríc.

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“…per hour, which was 6.7 times lower than that of a concrete terrace. Reinato et al, (2002) investigated energy consumption during coffee drying in rotary dryers and showed that the use of firewood provided a water removal rate of 0.55% (w.b.) per hour, while the use of liquefied petroleum gas (LPG) provided a rate of 0.77% (w.b.)…”

Section: Average Drying Times Of Coffee Lots On Terraces and In Dusmentioning

confidence: 99%

“…per hour, which was 6.7 times shorter than the drying in a concrete yard. Reinato et al (2002) investigated energy consumption of rotary dryers in coffee drying and noted that the use of firewood provided a moisture extraction rate of 0.55% (w.b.) per hour, while liquid petroleum gas (LPG) had a rate of 0.77%; however, these authors did not analyze beverage quality.…”

Section: Variance Analysis Of Drying Quality Factorsmentioning

confidence: 99%

Price and Quality of Coffee (Coffea Arabica L.) Dried Using Air Dehumidified by Convection

et al. 2019

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Grain drying processes have been improved to reduce costs and losses of coffee beverage quality. The objectives of this study were to evaluate the quality of coffee dried using air partially dehumidified before entering drying units (DUs) in four coffee-producing farms, as well as the effects of such process on coffee commercial value. The method consisted of obtaining three samples (triplicates) of coffee dried in both DUs and concrete terraces (control) for mean multiple comparisons. The following variables were analyzed for sieve #13 and hand-picked beans: defect number, cupping test, and pricing. Evaluations were carried out by three professional graders. The results showed that coffee dried in the DUs presented fewer broken grains, higher cupping score, and less negative factors of handsorting and defects. As a conclusion, it should be emphasized an average increase of 12.11% in price for coffee beans previously dehumidified.

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“…According to Luz et al (2006), drying is a step of agricultural production that consumes a lot of energy. Reinato et al (2002) argue that the efficient management of the drying step contributes to reduced operational costs due to the economy of energy that is provided by the optimal control of the process. Therefore, modeling, simulating and validating the performance of heating systems is extremely important for process optimization.…”

Section: Introductionmentioning

confidence: 99%

Modeling, Simulation, and Validation of an Electric Heater Model Operating in the Transient Regime

2015

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Resumo -Neste trabalho foi desenvolvido um modelo dinâmico de um aquecedor elétrico de ar operando em regime transiente, partindo de um balanço de energia no aquecedor considerando a energia fornecida para o sistema pelas resistências elétricas, a energia perdida para as vizinhanças por convecção e o acúmulo de energia no sistema, resultando num modelo dinâmico representado por uma equação diferencial ordinária de primeira ordem com dois parâmetros a serem determinados. Os parâmetros do modelo foram ajustados pelo método dos mínimos quadrados. Na validação do modelo foram utilizadas medidas experimentais de temperatura do ar na saída do aquecedor, obtidas a partir de diversas perturbações na voltagem imposta ao aquecedor elétrico aguardando que o sistema alcançasse a condição de regime permanente. Os resultados obtidos revelaram que o modelo representa adequadamente o comportamento do sistema operando tanto em regime transiente como permanente e apontam que este modelo pode ser utilizado para fins de simulação, análise e projeto de aquecedores elétricos. Palavras-chave: Modelo Dinâmico; Aquecedor Elétrico; Coeficiente Global de Transferência de Calor.Abstract -A dynamic model for an electric air heater operating in the transient regime was developed from an energy balance in the heater, taking into account the energy supplied to the system by the electric resistances, the energy lost to the surroundings by convection, and the accumulation of energy in the system. The resulting model was represented by an ordinary differential equation of the first order with two parameters to be determined. The model parameters were adjusted by the least squares method. The experimental temperature measurements used to validate the model were obtained at the heater outlet after different disturbances in the electric heater temperature through changes in the voltage applied to the heater and waiting for the system to reach steady state condition. The results revealed that the model adequately represented the behavior of the system in both transient and permanent regimes and showed that this model can be used for the simulation, analysis, and design of electric heaters.

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Consumo de energia e custo de secagem de café cereja em propriedades agrícolas do sul de Minas Gerais

Cited by 8 publications

References 1 publication

A decision support system for cost determination in grain storage facility operations

A decision support system for cost determination in grain storage facility operations

Price and Quality of Coffee (Coffea Arabica L.) Dried Using Air Dehumidified by Convection

Modeling, Simulation, and Validation of an Electric Heater Model Operating in the Transient Regime

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