LAPSE:2024.1290
Published Article
LAPSE:2024.1290
Model Based Optimization of Energy Consumption in Milk Evaporators
Artemis Tsochatzidi, Achilleas L. Arvanitidis, Michael C. Georgiadis
June 21, 2024
Abstract
This work explores five falling film evaporator (FFE) simulation approaches combined with energy consumption minimization strategies, namely Mechanical Vapor Recompression and Thermal Vapor Recompression (MVR and TVR, respectively). Global system analysis and advanced dynamic optimization strategies are then investigated to minimize steam consumption, the cost of steam, and the total annualized cost and to maximize product yield. The results indicate that higher TVR discharge pressures, or MVR compression ratios, along with higher feed temperatures, enhance evaporation but increase operational costs. The most economical option includes three evaporator effects with TVR to achieve 50% product dry mass content. However, for a 35% dry mass content, MVR becomes cost-effective with an 11% reduction in unit electricity prices or a simultaneous 7% drop in electricity prices and a 5% increase in gas-based steam prices. Furthermore, switching from milk powder production to milk concentrates leads to an annual cost reduction ranging from 10.8 to 44%. Additionally, a forecasted 20% (or more) reduction in biomass-based steam cost can lead to lower annual expenditure compared with the nominal NG-based steam case. Regarding the total annualized cost, for a new plant design, optimization strategies lead to a 9−45% reduction in the total cost depending on the case under consideration.
Keywords
dynamic optimization, falling film evaporator, global system analysis, mechanical vapor recompression, milk industry, thermal vapor recompression
Suggested Citation
Tsochatzidi A, Arvanitidis AL, Georgiadis MC. Model Based Optimization of Energy Consumption in Milk Evaporators. (2024). LAPSE:2024.1290
Author Affiliations
Tsochatzidi A: Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Arvanitidis AL: Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Georgiadis MC: Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece [ORCID]
Journal Name
Processes
Volume
12
Issue
1
First Page
209
Year
2024
Publication Date
2024-01-18
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr12010209, Publication Type: Journal Article
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LAPSE:2024.1290
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https://doi.org/10.3390/pr12010209
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Jun 21, 2024
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