Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer

George Onyango Orido; Erick Kiplangat Ronoh; Patrick Ochuodho Ajwang; Benson Baari Gathitu

doi:doi:10.11648/j.be.20230701.12

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Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer

George Onyango Orido, Erick Kiplangat Ronoh, Patrick Ochuodho Ajwang, Benson Baari Gathitu

Published in Bioprocess Engineering (Volume 7, Issue 1)

Received: 10 April 2023 Accepted: 25 April 2023 Published: 10 May 2023

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Abstract

The current study aimed to use, besides solar, waste heat from exhaust gas of a diesel engine operated for milling of grain, to dry black nightshade seeds. Assessment of thin layer models for simulating drying kinetics of black nightshade seeds was performed in a solar-exhaust gas greenhouse dryer operated on solar; solar-exhaust gas; and exhaust gas modes. In solar mode, seeds took 11 hours to reach a final moisture content of 7.13% (db) from an initial one of 89.34% (db). In solar-exhaust gas mode seeds were dried from an initial moisture content of 92.57% (db) to a final one of 6.07% (db) in 10 hours. In exhaust gas mode it took 14 hours to dry black nightshade seeds from an initial moisture content of 88.84% (db) to a final one of 9.42% (db). Newton, Page, Logarithmic, and Henderson and Pabis thin layer drying models were fitted to experimental data and the best model was selected based on low root mean squared error (RMSE) and interpretation of residual plots. To best explain the prediction of thin layer drying of black nightshade seeds, based on the lowest value of RMSE, Page model was found suitable for solar mode with RMSE of 0.01147206, Logarithmic model was found suitable for both solar-exhaust gas and exhaust gas modes of drying with RMSE of 0.0172098 and 0.02315325 respectively. In conclusion, the thin layer modeling approach can be used to provide design data for a solar-exhaust gas greenhouse dryer.

Published in	Bioprocess Engineering (Volume 7, Issue 1)
DOI	10.11648/j.be.20230701.12
Page(s)	10-31
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Solar-Exhaust Gas Greenhouse Dryer, Thin Layer Drying, Page Model, Logarithmic Model, Black Nightshade Seeds

References

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APA Style

George Onyango Orido, Erick Kiplangat Ronoh, Patrick Ochuodho Ajwang, Benson Baari Gathitu. (2023). Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer. Bioprocess Engineering, 7(1), 10-31. https://doi.org/10.11648/j.be.20230701.12

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ACS Style

George Onyango Orido; Erick Kiplangat Ronoh; Patrick Ochuodho Ajwang; Benson Baari Gathitu. Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer. Bioprocess Eng. 2023, 7(1), 10-31. doi: 10.11648/j.be.20230701.12

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AMA Style

George Onyango Orido, Erick Kiplangat Ronoh, Patrick Ochuodho Ajwang, Benson Baari Gathitu. Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer. Bioprocess Eng. 2023;7(1):10-31. doi: 10.11648/j.be.20230701.12

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@article{10.11648/j.be.20230701.12,
  author = {George Onyango Orido and Erick Kiplangat Ronoh and Patrick Ochuodho Ajwang and Benson Baari Gathitu},
  title = {Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer},
  journal = {Bioprocess Engineering},
  volume = {7},
  number = {1},
  pages = {10-31},
  doi = {10.11648/j.be.20230701.12},
  url = {https://doi.org/10.11648/j.be.20230701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.be.20230701.12},
  abstract = {The current study aimed to use, besides solar, waste heat from exhaust gas of a diesel engine operated for milling of grain, to dry black nightshade seeds. Assessment of thin layer models for simulating drying kinetics of black nightshade seeds was performed in a solar-exhaust gas greenhouse dryer operated on solar; solar-exhaust gas; and exhaust gas modes. In solar mode, seeds took 11 hours to reach a final moisture content of 7.13% (db) from an initial one of 89.34% (db). In solar-exhaust gas mode seeds were dried from an initial moisture content of 92.57% (db) to a final one of 6.07% (db) in 10 hours. In exhaust gas mode it took 14 hours to dry black nightshade seeds from an initial moisture content of 88.84% (db) to a final one of 9.42% (db). Newton, Page, Logarithmic, and Henderson and Pabis thin layer drying models were fitted to experimental data and the best model was selected based on low root mean squared error (RMSE) and interpretation of residual plots. To best explain the prediction of thin layer drying of black nightshade seeds, based on the lowest value of RMSE, Page model was found suitable for solar mode with RMSE of 0.01147206, Logarithmic model was found suitable for both solar-exhaust gas and exhaust gas modes of drying with RMSE of 0.0172098 and 0.02315325 respectively. In conclusion, the thin layer modeling approach can be used to provide design data for a solar-exhaust gas greenhouse dryer.},
 year = {2023}
}

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TY  - JOUR
T1  - Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer
AU  - George Onyango Orido
AU  - Erick Kiplangat Ronoh
AU  - Patrick Ochuodho Ajwang
AU  - Benson Baari Gathitu
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.be.20230701.12
DO  - 10.11648/j.be.20230701.12
T2  - Bioprocess Engineering
JF  - Bioprocess Engineering
JO  - Bioprocess Engineering
SP  - 10
EP  - 31
PB  - Science Publishing Group
SN  - 2578-8701
UR  - https://doi.org/10.11648/j.be.20230701.12
AB  - The current study aimed to use, besides solar, waste heat from exhaust gas of a diesel engine operated for milling of grain, to dry black nightshade seeds. Assessment of thin layer models for simulating drying kinetics of black nightshade seeds was performed in a solar-exhaust gas greenhouse dryer operated on solar; solar-exhaust gas; and exhaust gas modes. In solar mode, seeds took 11 hours to reach a final moisture content of 7.13% (db) from an initial one of 89.34% (db). In solar-exhaust gas mode seeds were dried from an initial moisture content of 92.57% (db) to a final one of 6.07% (db) in 10 hours. In exhaust gas mode it took 14 hours to dry black nightshade seeds from an initial moisture content of 88.84% (db) to a final one of 9.42% (db). Newton, Page, Logarithmic, and Henderson and Pabis thin layer drying models were fitted to experimental data and the best model was selected based on low root mean squared error (RMSE) and interpretation of residual plots. To best explain the prediction of thin layer drying of black nightshade seeds, based on the lowest value of RMSE, Page model was found suitable for solar mode with RMSE of 0.01147206, Logarithmic model was found suitable for both solar-exhaust gas and exhaust gas modes of drying with RMSE of 0.0172098 and 0.02315325 respectively. In conclusion, the thin layer modeling approach can be used to provide design data for a solar-exhaust gas greenhouse dryer.
VL  - 7
IS  - 1
ER  -

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Author Information

George Onyango Orido

Agricultural and Biosystems Engineering Department, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Erick Kiplangat Ronoh

Agricultural and Biosystems Engineering Department, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Patrick Ochuodho Ajwang

Agricultural and Biosystems Engineering Department, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Benson Baari Gathitu

Agricultural and Biosystems Engineering Department, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

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George Onyango Orido, Erick Kiplangat Ronoh, Patrick Ochuodho Ajwang, Benson Baari Gathitu. (2023). Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer. Bioprocess Engineering, 7(1), 10-31. https://doi.org/10.11648/j.be.20230701.12

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ACS Style

George Onyango Orido; Erick Kiplangat Ronoh; Patrick Ochuodho Ajwang; Benson Baari Gathitu. Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer. Bioprocess Eng. 2023, 7(1), 10-31. doi: 10.11648/j.be.20230701.12

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AMA Style

George Onyango Orido, Erick Kiplangat Ronoh, Patrick Ochuodho Ajwang, Benson Baari Gathitu. Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer. Bioprocess Eng. 2023;7(1):10-31. doi: 10.11648/j.be.20230701.12

Copy | Download

@article{10.11648/j.be.20230701.12,
  author = {George Onyango Orido and Erick Kiplangat Ronoh and Patrick Ochuodho Ajwang and Benson Baari Gathitu},
  title = {Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer},
  journal = {Bioprocess Engineering},
  volume = {7},
  number = {1},
  pages = {10-31},
  doi = {10.11648/j.be.20230701.12},
  url = {https://doi.org/10.11648/j.be.20230701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.be.20230701.12},
  abstract = {The current study aimed to use, besides solar, waste heat from exhaust gas of a diesel engine operated for milling of grain, to dry black nightshade seeds. Assessment of thin layer models for simulating drying kinetics of black nightshade seeds was performed in a solar-exhaust gas greenhouse dryer operated on solar; solar-exhaust gas; and exhaust gas modes. In solar mode, seeds took 11 hours to reach a final moisture content of 7.13% (db) from an initial one of 89.34% (db). In solar-exhaust gas mode seeds were dried from an initial moisture content of 92.57% (db) to a final one of 6.07% (db) in 10 hours. In exhaust gas mode it took 14 hours to dry black nightshade seeds from an initial moisture content of 88.84% (db) to a final one of 9.42% (db). Newton, Page, Logarithmic, and Henderson and Pabis thin layer drying models were fitted to experimental data and the best model was selected based on low root mean squared error (RMSE) and interpretation of residual plots. To best explain the prediction of thin layer drying of black nightshade seeds, based on the lowest value of RMSE, Page model was found suitable for solar mode with RMSE of 0.01147206, Logarithmic model was found suitable for both solar-exhaust gas and exhaust gas modes of drying with RMSE of 0.0172098 and 0.02315325 respectively. In conclusion, the thin layer modeling approach can be used to provide design data for a solar-exhaust gas greenhouse dryer.},
 year = {2023}
}

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TY  - JOUR
T1  - Evaluation of Thin Layer Models for Simulating Drying Kinetics of Black Nightshade Seeds in a Solar-Exhaust Gas Greenhouse Dryer
AU  - George Onyango Orido
AU  - Erick Kiplangat Ronoh
AU  - Patrick Ochuodho Ajwang
AU  - Benson Baari Gathitu
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.be.20230701.12
DO  - 10.11648/j.be.20230701.12
T2  - Bioprocess Engineering
JF  - Bioprocess Engineering
JO  - Bioprocess Engineering
SP  - 10
EP  - 31
PB  - Science Publishing Group
SN  - 2578-8701
UR  - https://doi.org/10.11648/j.be.20230701.12
AB  - The current study aimed to use, besides solar, waste heat from exhaust gas of a diesel engine operated for milling of grain, to dry black nightshade seeds. Assessment of thin layer models for simulating drying kinetics of black nightshade seeds was performed in a solar-exhaust gas greenhouse dryer operated on solar; solar-exhaust gas; and exhaust gas modes. In solar mode, seeds took 11 hours to reach a final moisture content of 7.13% (db) from an initial one of 89.34% (db). In solar-exhaust gas mode seeds were dried from an initial moisture content of 92.57% (db) to a final one of 6.07% (db) in 10 hours. In exhaust gas mode it took 14 hours to dry black nightshade seeds from an initial moisture content of 88.84% (db) to a final one of 9.42% (db). Newton, Page, Logarithmic, and Henderson and Pabis thin layer drying models were fitted to experimental data and the best model was selected based on low root mean squared error (RMSE) and interpretation of residual plots. To best explain the prediction of thin layer drying of black nightshade seeds, based on the lowest value of RMSE, Page model was found suitable for solar mode with RMSE of 0.01147206, Logarithmic model was found suitable for both solar-exhaust gas and exhaust gas modes of drying with RMSE of 0.0172098 and 0.02315325 respectively. In conclusion, the thin layer modeling approach can be used to provide design data for a solar-exhaust gas greenhouse dryer.
VL  - 7
IS  - 1
ER  -

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