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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Technologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy Technology
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
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Development of Finite‐Element Model for Drying of Tomato Flakes under Passive Greenhouse Dryer: Experimental Validation and Optimization Potential

Authors: Lalan Kumar; Om Prakash; Vijay Kumar Pandey; Asim Ahmad; Biplab Das;

Development of Finite‐Element Model for Drying of Tomato Flakes under Passive Greenhouse Dryer: Experimental Validation and Optimization Potential

Abstract

This research introduces and validates a finite‐element (FE) model for drying tomato flakes in a passive greenhouse dryer, supported by experimental data. The simulations accurately monitor crop and ground temperatures, reaching 49.1 and 61.1 °C, respectively. The moisture reduction is 96–4.25% (Wb), with a minimum relative humidity of 28.40% and a drying efficiency of 50.30%. Energy and exergy efficiencies are evaluated at 80% and 52.82%, respectively. The embodied energy is 1209.56 kWh, and the total cost of the proposed system is 15433.50 INR. The FE model effectively monitors temperatures and achieves a remarkable reduction in moisture, demonstrating its potential to optimize greenhouse dryer and promote sustainable, cost‐effective drying practices in the food industry. The rigorous comparison between experimental and simulated results confirms the precision of the FE model, highlighting its potential in optimizing greenhouse dryers and promoting sustainable, cost‐effective drying practices in the food industry.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%