A heat and mass transport model of clay pot evaporative coolers for vegetable storage. (December 2020)

• Record Type: Journal Article
• Authors: Rehman, Danyal; McGarrigle, Ethan; Glicksman, Leon; Verploegen, Eric
• Is Part Of: International journal of heat and mass transfer. Volume 162(2020)
• Publication Date: 2020-12
• Subjects: Horticulture -- Evaporative cooling -- Postharvest vegetable storage -- Transport modelling -- Global development; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Electronic journals; 621.4022
• DOI: 10.1016/j.ijheatmasstransfer.2020.120270
• Languages: English
• ISSNs: 0017-9310

Abstract

Highlights: An experimentally validated heat and mass transport model for pot-in-pot and pot-in-dish clay pot coolers is proposed. The model fits experiments from 17 field trials to within 4% and 6% for pot-in-pot and pot-in- dish systems respectively. Parametric studies were conducted to characterize system performance for different service environments. Abstract: Clay pot coolers are low-cost technologies that can prolong vegetable shelf-life by providing a cool and humid storage environment through evaporative cooling. A predictive performance model of these systems is not available for investigating the impact of design modifications on device performance. This study proposes transport models for pot-in-pot and pot-in-dish coolers that have been validated with experimental data from 17 field trials from Mali and Rwanda with maximum errors of less than 6% observed. Results show that the pot-in-pot and pot-in-dish devices consume 1.96 and 2.85 L/day of water, respectively. A parametric study was conducted to evaluate how the refrigeration efficiency and daily water consumption are affected by the size of the device, local wind speed, and the mass of vegetables stored in the cooler. Increasing local wind speeds provides a net positive impact on refrigeration efficiency despite the increased convective heating. In addition, the quantity of vegetable mass showed a negligible impact on daily water consumption. Insights from the model suggest that water consumption is more efficient for larger devices.