Enhancing solar dryer performance through computational fluid dynamics in forced convection conditions
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Bhirendra Kumar
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Sewan Das Patle
Abstract
Solar drying technology has emerged as a pivotal contributor to sustainability in agriculture and various industrial sectors by harnessing solar energy for energy-efficient product dehydration. This research paper explores the effectiveness of Computational Fluid Dynamics (CFD) simulations in enhancing the design and operation of solar dryers, with a particular focus on scenarios involving forced convection. Solar dryers find versatile applications in agriculture, food processing, and industrial operations, propelling the expansion of research in this field. The core objective of this study is to computationally predict critical parameters within solar dryers operating under forced convection, including temperature distribution, velocity distribution, heat transfer coefficient variations, and humidity distribution. By leveraging CFD, this research seeks to shed light on the specific impacts of key variables, notably the solar dryer’s aspect ratio and the application of forced convection. The ultimate goal is to determine the optimal combination of these variables to maximize solar dryer performance. The findings of this study are expected to advance our understanding of how CFD simulations can be employed to enhance energy efficiency and product quality in solar drying processes. Furthermore, this research contributes to the ongoing efforts to develop sustainable and eco-friendly solutions for product dehydration in agriculture and industry, aligning with the global pursuit of a greener and more efficient future.
Acknowledgments
Authors are thankful to NIT Raipur for using their library and other sources.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
References
1. Bhardwaj, AK, Kumar, R, Chauhan, R. Experimental investigation of the performance of a novel solar dryer for drying medicinal plants in Western Himalayan region. Sol Energy 2019;177:395–407. https://doi.org/10.1016/j.solener.2018.11.007.Suche in Google Scholar
2. Mirzaee, P, Salami, P, Samimi Akhijahani, H, Zareei, S. Life cycle assessment, energy and exergy analysis in an indirect cabinet solar dryer equipped with phase change materials. J Energy Storage 2023;61:106760. https://doi.org/10.1016/j.est.2023.106760.Suche in Google Scholar
3. Leon, MA, Kumar, S, Bhattacharya, SC. A comprehensive procedure for performance evaluation of solar food dryers. Renew Sustain Energy Rev 2002;6:367–93. https://doi.org/10.1016/S1364-0321(02)00005-9.Suche in Google Scholar
4. Lande, M, Patil, MSS, Waghmare, MPA, S, MR. Design and computational fluid dynamics (CFD) modelling for solar food dryer. GIS Sci J 2022;9:1511–20.Suche in Google Scholar
5. Rao, TSSB, Sivalingam, M. Assessment of energy, exergy, environmental, and economic study of an evacuated tube solar dryer for drying Krishna Tulsi. Environ Sci Pollut Control Ser 2023;30:67351–67. https://doi.org/10.1007/s11356-023-27085-z.Suche in Google Scholar PubMed
6. El Ferouali, H, Doubabi, S, El Kilali, T, Abdenouri, N. CFD study of a designed forced convection solar dryer. application to the drying of punica granatum legrelliae’s flowers. In: The 20th international drying symposium (IDS 2016). Gifu, JAPAN: Researchgate.net; 2016:7–10 pp.Suche in Google Scholar
7. Lad, P, Kumar, R, Saxena, R, Patel, J. Numerical investigation of phase change material assisted indirect solar dryer for food quality preservation. Int J Thermfluid 2023;18:100305. https://doi.org/10.1016/j.ijft.2023.100305.Suche in Google Scholar
8. Gyawali, M, Acharya, A, Adhikari, T, Dahal, K, Kafle, B, Kim, DH, et al.. A mixed-mode ginger and turmeric solar dryer: design, simulation, biochemical and performance analysis. Bibechana 2022;19:40–60. https://doi.org/10.3126/bibechana.v19i1-2.46386.Suche in Google Scholar
9. Yadav, S, Chandramohan, VP. Performance comparison of thermal energy storage system for indirect solar dryer with and without finned copper tube. Sustain Energy Technol Assessments 2020;37:100609. https://doi.org/10.1016/j.seta.2019.100609.Suche in Google Scholar
10. Amouiri, R, Belhamri, A. Cfd simulation of heat and mass transfers inside an indirect solar dryer designed for medicinal plants (mint leaves) dehydration. UPB Sci Bull Mech Eng 2022b;84:137–48.Suche in Google Scholar
11. Lakshmi, DVN, Muthukumar, P, Layek, A, Nayak, PK. Performance analyses of mixed mode forced convection solar dryer for drying of stevia leaves. Sol Energy 2019;188:507–18. https://doi.org/10.1016/j.solener.2019.06.009.Suche in Google Scholar
12. Amouiri, R, Belhamri, A. CFD investigations on the behavior of a solar dryer used for medicinal herbs dehydration under climatic conditions of Constantine, Algeria. Mater Today Proc 2022a;51:2123–30. https://doi.org/10.1016/j.matpr.2021.12.475.Suche in Google Scholar
13. Alic, E, Das, M, Akpinar, EK. Design, manufacturing, numerical analysis and environmental effects of single-pass forced convection solar air collector. J Clean Prod 2021;311:127518. https://doi.org/10.1016/j.jclepro.2021.127518.Suche in Google Scholar
14. Ebrahimi, H, Samimi Akhijahani, H, Salami, P. Improving the thermal efficiency of a solar dryer using phase change materials at different position in the collector. Sol Energy 2021;220:535–51. https://doi.org/10.1016/j.solener.2021.03.054.Suche in Google Scholar
15. Singh, R, Salhan, P, Kumar, A. CFD modelling and simulation of an indirect forced convection solar dryer. IOP Conf Ser Earth Environ Sci 2021;795. https://doi.org/10.1088/1755-1315/795/1/012008.Suche in Google Scholar
16. Rakshamuthu, S, Jegan, S, Joel Benyameen, J, Selvakumar, V, Anandeeswaran, K, Iyahraja, S. Experimental analysis of small size solar dryer with phase change materials for food preservation. J Energy Storage 2021;33:102095. https://doi.org/10.1016/j.est.2020.102095.Suche in Google Scholar
17. Chavan, A, Vitankar, V, Thorat, B. CFD modeling and experimental study of solar conduction dryer. Dry Technol 2021;39:1087–100. https://doi.org/10.1080/07373937.2020.1846051.Suche in Google Scholar
18. Bhaskara Rao, TSS, Murugan, S. Solar drying of medicinal herbs: a review. Sol Energy 2021;223:415–36. https://doi.org/10.1016/j.solener.2021.05.065.Suche in Google Scholar
19. Canonsburg, TD. ANSYS FLUENT user’s guide. Knowl Creat Diffus Util 2012;15317:724–46.Suche in Google Scholar
20. Morad, MM, El-Shazly, MA, Wasfy, KI, El-Maghawry, HAM. Thermal analysis and performance evaluation of a solar tunnel greenhouse dryer for drying peppermint plants. Renew Energy 2017;101:992–1004. https://doi.org/10.1016/j.renene.2016.09.042.Suche in Google Scholar
21. Purusothaman, M, Valarmathi, TN. Computational fluid dynamics analysis of greenhouse solar dryer. Int J Ambient Energy 2019;40:894–900. https://doi.org/10.1080/01430750.2018.1437567.Suche in Google Scholar
22. Garg, HP, Kumar, R. Studies on semi-cylindrical solar tunnel dryers: thermal performance of collector. Appl Therm Eng 2000;20:115–31. https://doi.org/10.1016/s1359-4311(99)00017-4.Suche in Google Scholar
23. Raja Sekhar, Y, Pandey, AK, Mahbubul, IM, Ram Sai Avinash, G, Venkat, V, Pochont, NR. Experimental study on drying kinetics for Zingiber Officinale using solar tunnel dryer with thermal energy storage. Sol Energy 2021;229:174–86. https://doi.org/10.1016/j.solener.2021.08.011.Suche in Google Scholar
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