Multi-Criteria Optimization of Energy and Water Consumption in Fruit- and Vegetable-Processing Plants in Poland

Jędrzej Trajer (), Radosław Winiczenko, Bogdan Dróżdż, Janusz Wojdalski and Robert Sałat
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Jędrzej Trajer: Institute of Mechanical Engineering, Warsaw University of Life Sciences, 02-787 Warszawa, Poland
Radosław Winiczenko: Institute of Mechanical Engineering, Warsaw University of Life Sciences, 02-787 Warszawa, Poland
Bogdan Dróżdż: Institute of Mechanical Engineering, Warsaw University of Life Sciences, 02-787 Warszawa, Poland
Janusz Wojdalski: National Fund for Environmental Protection and Water Management, 02-673 Warszawa, Poland
Robert Sałat: Faculty of Electrical and Computer Engineering, Cracow University of Technology, 31-155 Kraków, Poland

Energies, 2023, vol. 16, issue 24, 1-15

Abstract: Fruit and vegetable processing comes 6th in terms of energy consumption in the agri-food industry. At the same time, 88.4% of the industry’s final energy consumption structure is thermal energy, which depends heavily on electricity consumption. In addition, fruit and vegetable processing has a significant impact on the environment due to consumption of significant amounts of water. Reducing these three indicators simultaneously would increase the efficiency of the process while improving environmental protection. This paper proposes neural models of thermal energy, electricity and water consumption for selected major fruit- and vegetable-processing plants in Poland. These models were the basis for formulating a multi-criteria optimization task. Optimization of thermal energy, electricity and water consumption was carried out using genetic algorithms. The optimization results in the sense of Pareto can be the basis for the use of sustainable technology in selected fruit- and vegetable-processing plants.

Keywords: sustainable technology; optimization of energy and water consumption; fruit and vegetable processing; artificial intelligence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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