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Multi-Criteria Evaluation of Efficiency in Fish Processing
- Source :
- Environmental and Climate Technologies, Vol 24, Iss 2, Pp 300-308 (2020)
- Publication Year :
- 2020
- Publisher :
- Sciendo, 2020.
-
Abstract
- Carbon neutrality has become a goal of European Union countries as they held agreement on the European Green Deal; the goal needs to be achieved by 2050. To achieve this goal production industry plays major role as this sector produces considerable amount of greenhouse gas emissions. This paper analyses processes within fish processing industry as the consumption of fish products has increased; therefore, production rate in this area also has been growing. Even more, the consumption of fish products per capita is forecasted to keep increasing for at least the next further years as fish products are great protein source. Thus, it is important to improve efficiency in the fish processing industry, to reduce the amount of emissions, waste and pollution produced in the industry, to evaluate the use of water and energy as well as the resources used in order to achieve sustainable production and carbon neutrality. Data envelopment multicriteria analysis method was used in this research to evaluate energy efficiency in the fish processing industry within sterilization process. The results have shown that the full water immersion autoclave and the water and steam autoclaves are the most efficient from four technologies analysed.
- Subjects :
- fish
technological process
Renewable Energy, Sustainability and the Environment
0211 other engineering and technologies
TJ807-830
sterilization
02 engineering and technology
010501 environmental sciences
Sterilization (microbiology)
Pulp and paper industry
01 natural sciences
Renewable energy sources
manufacturing
Multi criteria
Data envelopment analysis
Fish
Environmental science
021108 energy
data envelopment analysis
production
Fish processing
0105 earth and related environmental sciences
General Environmental Science
Subjects
Details
- Language :
- English
- ISSN :
- 22558837
- Volume :
- 24
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Environmental and Climate Technologies
- Accession number :
- edsair.doi.dedup.....e99684a6d0115b0a58c42ccfeafb448b