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Predictive tool of energy performance of cold storage in agrifood industries ; The portuguese case study

Name: Predictive tool of energy performance of cold storage in agrifood industries ; The portuguese case study
Keywords: Energy efficiency, Sustainability, Perishable products, Cold industry, Cold storage, Predictive tool

descriptionPublicationkeyboard_double_arrow_right Article 17 Oct 2019 Portugal English Publisher:Elsevier BV

Authors: Nunes, José; Neves, Diogo; Gaspar, Pedro Dinis; Silva, Pedro Dinho da;

handle: 10400.6/7272

Predictive tool of energy performance of cold storage in agrifood industries ; The portuguese case study

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Abstract

Food processing and conservation represent decisive factors for the sustainability of the planet given the significant growth of the world population in the last decades. Therefore, the cooling process during the manufacture and/or storage of food products has been subject of study and improvement in order to ensure the food supply with good quality and safety. A predictive tool for assessment of the energy performance in agrifood industries that use cold storage is developed in order to contribute to the improvement of the energy efficiency of this industry. The predictive tool is based on a set of characteristic correlated parameters: amount of raw material annually processed, annual energy consumption and volume of cold rooms. Case studies of application of the predictive tool consider industries in the meat sector, specifically slaughterhouses. The results obtained help on the decision-making of practice measures for improvement of the energy efficiency in this industry ; info:eu-repo/semantics/publishedVersion

Country

Portugal

Related Organizations

University of Beira Interior
Portugal

Keywords

Energy efficiency, Sustainability, Perishable products, Cold industry, Cold storage, Predictive tool

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