Development and Performance Assessment of Sensor-Mounted Solar Dryer for Micro-Climatic Modeling and Optimization of Dried Fish Quality in Cambodia
Lyhour Hin (),
Chan Makara Mean,
Meng Chhay Kim,
Chhengven Chhoem,
Borarin Bunthong,
Lytour Lor,
Taingaun Sourn and
P. V. Vara Prasad
Additional contact information
Lyhour Hin: Faculty of Agricultural Biosystems Engineering, Royal University of Agriculture, Phnom Penh 120501, Cambodia
Chan Makara Mean: Faculty of Agricultural Biosystems Engineering, Royal University of Agriculture, Phnom Penh 120501, Cambodia
Meng Chhay Kim: Faculty of Agricultural Biosystems Engineering, Royal University of Agriculture, Phnom Penh 120501, Cambodia
Chhengven Chhoem: Faculty of Agricultural Biosystems Engineering, Royal University of Agriculture, Phnom Penh 120501, Cambodia
Borarin Bunthong: Division of Research and Extension, Royal University of Agriculture, Phnom Penh 120501, Cambodia
Lytour Lor: Faculty of Agricultural Biosystems Engineering, Royal University of Agriculture, Phnom Penh 120501, Cambodia
Taingaun Sourn: A.K Assessment Co., Ltd., Phnom Penh 12352, Cambodia
P. V. Vara Prasad: Sustainable Intensification Innovation Lab (SIIL), Kansas State University, Manhattan, KS 66506, USA
Clean Technol., 2024, vol. 6, issue 3, 1-19
Abstract:
Fish are one of the main sources of protein in Cambodia but they are highly perishable. This requires immediate consumption or processing for later use. In processing, fish drying is very common, but most processors practice traditional drying methods although solar dryers have been introduced, or gradually used, in Cambodia. There is a large variation in terms of drying efficiency due to large differences in solar radiation, temperature, and humidity conditions in traditional drying methods and solar dryers. However, there is limited information on the actual variation in these two systems, which should be documented in Cambodia. Using sensors to monitor micro-climatic changes inside the drying chamber will be useful to improve efficiency and performance. Therefore, the objectives of this research were to (1) design a fish dryer from locally available inputs; (2) determine changes in solar radiation over time; (3) compare relative humidity and temperatures between traditional sun-drying and the solar dryer; (4) determine the relationship among the climatic parameters; and (5) compare some physical, chemical, and biological properties of dried fish in both drying techniques with the Cambodian dried fish standards. The study was conducted in collaboration with a fish processor in the Siem Reap Province between December 2023 and January 2024 using a sensor-mounted solar dryer fabricated by the Royal University of Agriculture to dry fish and compared with traditional sun-drying. Three experiments were carried out from 8:00 to 16:00 following the common drying practices in Cambodia. In each experiment, 80–100 kg of raw giant snakehead, or 56–70 kg of prepared fish (1.04 ± 0.05 kg each fish), was prepared for drying. Data on environmental conditions were measured and analyzed. The results show that the solar dryer had higher temperatures (almost 60 °C) and lower relative humidity (about 20%) during peak hours when compared with traditional sun-drying (36.8 °C and 40%, respectively). In all cases, relative humidity decreased with rising solar radiation and temperatures. The final weight and moisture of dried fish in the solar dryer were lower than those in traditional sun-drying in eight hours. Salmonella was detected with traditional sun-drying but E. coli was not. Bacterial presence may be harmful to human health. Nevertheless, the time spent for drying in both techniques was the same, so future studies should focus on improving ventilation to remove moisture faster out of the solar dryer, which can help with faster drying and more time saving. Hybrid solar dryers should also be considered to maintain high temperatures at night, while bacteria should be counted for safety reasons.
Keywords: fish drying; protein; humidity; solar radiation; temperature; sensor (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2571-8797/6/3/48/pdf (application/pdf)
https://www.mdpi.com/2571-8797/6/3/48/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jcltec:v:6:y:2024:i:3:p:48-972:d:1443494
Access Statistics for this article
Clean Technol. is currently edited by Ms. Shary Song
More articles in Clean Technol. from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().