Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)

Mathematical modeling and environmental analysis of a novel intermittent solar drying system

Authors
Khaoula Nedjem1, Tarik Hadibi2, Yunfeng Wang2, *, Ming Li2
1Laboratory of Mechanics, University Amar Telidji, BP G37, 03000, Laghouat, Algeria
2Solar Energy Research Institute, Yunnan Normal University, Kunming, 650500, China
*Corresponding author. Email: wangyf@ynnu.edu.cn
Corresponding Author
Yunfeng Wang
Available Online 19 May 2025.
DOI
10.2991/978-94-6463-728-1_56How to use a DOI?
Keywords
Intermittent drying; mathematical modeling; environmental analysis
Abstract

The current study investigated the environment indicators of a novel intermittent solar drying system (ISD) for drying agri-food products, and the drying behavior of onion slices during study. Mathematical modeling and environmental analysis of the ISD were compared with the stationary solar drying process (SDP). Thirteen well-known mathematical models were fitted to the drying data of the ISD and SDP. The obtained results revealed the lowest drying time using SDP at 13 h compared to ISD at 18 h. Where tempering in drying time decreased the diffusional process, consequently increasing the drying time. Among the examined mathematical models, Wang and Singh’s well expressed the drying behavior of onion slices during the ISD and SDP, with the highest correlation coefficient R2 = 0.99933 and 0.99691, respectively. The environmental indicators; the energy payback time (EPBT) was estimated = 1.81 using the ISD compared to 3.62 when using the SDP and the yearly CO2emission values = 0.205 and 0.123 tons using SDP and ISD, respectively. Both drying systems were found with high NetCO2mitigation = 49.3 and 19.6 tons per year using the SDP and ISD, respectively. The earned credit carbon (ECC) ranges from 980–3920 and 247–987 USD using the ISD and SDP, respectively. The ISD was found more suitable for drying agri-food products in terms of environmental indicators and ECC.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
Series
Advances in Engineering Research
Publication Date
19 May 2025
ISBN
978-94-6463-728-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-728-1_56How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Khaoula Nedjem
AU  - Tarik Hadibi
AU  - Yunfeng Wang
AU  - Ming Li
PY  - 2025
DA  - 2025/05/19
TI  - Mathematical modeling and environmental analysis of a novel intermittent solar drying system
BT  - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
PB  - Atlantis Press
SP  - 586
EP  - 598
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-728-1_56
DO  - 10.2991/978-94-6463-728-1_56
ID  - Nedjem2025
ER  -