Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/8079
Title: Performance assessment and optimization of industrial pasta drying
Authors: Çolak, Neslihan
Erbay, Z.
Hepbasli, A.
Keywords: Drying
Exergy analysis
Improvement potential
Pasta
Performance analysis
Evaporation rate
Exergy Analysis
Exergy efficiencies
Pasta production
Performance assessment and optimization
Dryers (equipment)
Efficiency
Exergy
Abstract: Drying is a high-energy-intensive operation and an important step in the pasta production. In this study, exergy analysis of a four-step drying system in a farfalle pasta production line using actual operational data obtained from a plant located in Izmir, Turkey, was performed. Exergy loss rates, evaporation rates, exergy efficiencies, and improvement in potential rates for each dryer section were determined in this drying system. The exergy efficiency values varied between 0.25% and 5.27% from the predrying to the final drying section. The exergy efficiency value for the entire drying system was calculated to be 2.96%, and the highest exergetic improvement in potential rate was 165.54kW for the first dryer section. Copyright © 2013 John Wiley & Sons, Ltd. A four-step drying system in a farfalle pasta production line was exergetically analyzed for assessing and improving the efficiency of the drying process and the entire system along with its main components. Actual operational data were used in the analysis. The exergy efficiency values varied between 0.25% and 5.27% from the predrying to the final drying section, being 2.96% for the entire drying system. The highest exergetic improvement in potential rate (IP) was 165.54 kW for the first dryer section. © 2013 John Wiley & Sons, Ltd.
URI: https://hdl.handle.net/11499/8079
https://doi.org/10.1002/er.2895
ISSN: 0363-907X
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

35
checked on Nov 10, 2024

WEB OF SCIENCETM
Citations

35
checked on Nov 11, 2024

Page view(s)

38
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.