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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Part of book or chapter of book . 2014
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Energy Consumption Estimation during Oven Cooking of Food

Authors: Goñi, Sandro Mauricio; Salvadori, Viviana Olga;

Energy Consumption Estimation during Oven Cooking of Food

Abstract

Oven cooking of food is a traditional and widely used technology, both at a household and industrial level, which confers to foods unique organoleptic properties, which can not be accomplished using other available technologies. At the same time, it is a highly energetic intensive process, due to the fact that most foods have a high level of water content, which is partially evaporated during roasting. Any attempts to minimize energy consumption of the process must be done carefully, since the quality of the product should not be negatively affected and, on several occasions, there are security and legislative standards to comply. In this chapter the energy consumption during roasting of beef semitendinosus muscle samples has been estimated, using an electric oven. The samples were cooked at oven temperature between 172 and 223 °C until they reach a core temperature of 72 °C. A simple procedure to determine the effective power of the oven from experimental measurements is proposed, which can be applied to other situations and processes. Then, from the experimental results, energy consumption of the oven between 4 to 6.3 MJ/kg of raw sample was found, while energy consumption of sample varies between 484 to 780 kJ/kg of raw sample. So, the ratio of sample energy consumption to oven energy consumption, provide a simple estimation of the energy efficiency of the process, which was found to be between 7.7 to 18.3%. Furthermore, a mathematical model of the beef roasting process has been used to estimate the actual energy consumption of the samples, which fit well with the experimental results.

Fil: Salvadori, Viviana Olga. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina

Fil: Goñi, Sandro Mauricio. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina

Country
Argentina
Keywords

Energy consumption, https://purl.org/becyt/ford/2.11, matehmatical modelling, https://purl.org/becyt/ford/2, Food roasting, energy efficiency

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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