Multi-criteria optimization of energy and water consumption in fruit- and vegetable-processing plants in Poland
Authors:
- Jędrzej Trajer,
- Radosław Winiczenko,
- Bogdan Dróżdż,
- Janusz Wojdalski,
- Robert Sałat
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 fruitand vegetable-processing plants.
- Record ID
- CUT20cae55491684bdc9149647095c25d30
- Publication categories
- ;
- Author
- Journal series
- Energies, ISSN , e-ISSN 1996-1073, Biweekly
- Issue year
- 2023
- Vol
- 16
- No
- 24
- Pages
- [1-15]
- Article number
- 8118
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 14-15; Bibliografia (liczba pozycji) - 43; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 16, Iss. 24
- Substantive notes
- This article belongs to the Special Issue: Multicriteria Analysis for Energy Transition: A Route for Reaching Sustainable Development Goals
- Keywords in English
- sustainable technology, optimization of energy and water consumption, fruit and vegetable processing, artificial intelligence
- ASJC Classification
- DOI
- DOI:10.3390/en16248118 Opening in a new tab
- URL
- https://www.mdpi.com/1996-1073/16/24/8118 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Score source
- journalList
- Score
- Publication indicators
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT20cae55491684bdc9149647095c25d30/
- URN
urn:pkr-prod:CUT20cae55491684bdc9149647095c25d30
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.