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Advisor(s)
Abstract(s)
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
Description
Keywords
Energy efficiency Sustainability Perishable products Cold storage Predictive tool Cold industry
Pedagogical Context
Citation
Publisher
Elsevier