A comprehensive review of solar dryers incorporated with phase change materials for enhanced drying efficiency
Shifting from fossil oil-generated electrical power to green energy has been a topic of
greatest interest due to its huge negative impact on the environment and human well-being …
greatest interest due to its huge negative impact on the environment and human well-being …
A comprehensive state-of-the-art review on the recent developments in greenhouse drying
Drying via solar energy is an environmentally friendly and inexpensive process. For
controlled and bulk level drying, a greenhouse solar dryer is the most suitable controlled …
controlled and bulk level drying, a greenhouse solar dryer is the most suitable controlled …
[HTML][HTML] A neural network-based predictive model for the thermal conductivity of hybrid nanofluids
Nanofluids are known to have immense potential for heat transfer applications because of
their unique thermophysical properties when compared to the conventional heat transfer …
their unique thermophysical properties when compared to the conventional heat transfer …
Techno-economic analysis of an indirect solar dryer with thermal energy storage: An approach with machine learning algorithms for decision making
AJ Cetina-Quiñones, G Santamaria-Bonfil… - Thermal Science and …, 2023 - Elsevier
Abstract Machine learning models effectively forecast and improve engineering systems as
solar dryers, making them valuable replacements for traditional physics-based models. Also …
solar dryers, making them valuable replacements for traditional physics-based models. Also …
Natural convective greenhouse vermicelli drying: thermo-environ-econo-kinetic analyses
This article presents the performance of a low-cost, simple and sustainable natural
convection greenhouse dryer (NCGHD) for vermicelli drying. Vermicelli samples of diameter …
convection greenhouse dryer (NCGHD) for vermicelli drying. Vermicelli samples of diameter …
[HTML][HTML] Experimental evaluation and modeling the mass and temperature of dried mint in greenhouse solar dryer; Application of machine learning method
This study is aimed to model the temperature and mass of dried mint in a Quonset type of
Greenhouse Solar Dryer (GSD). The inputs including ambient air temperature (◦ C), ambient …
Greenhouse Solar Dryer (GSD). The inputs including ambient air temperature (◦ C), ambient …
Determination of heat transfer coefficients and drying kinetics of red chilli dried in a forced convection mixed mode solar dryer
JP Ekka, M Palanisamy - Thermal Science and Engineering Progress, 2020 - Elsevier
Solar drying is an efficient and economical way of drying of agricultural products as
compared to any conventional dryers, and also in solar dryers, the products are dried under …
compared to any conventional dryers, and also in solar dryers, the products are dried under …
Investigation of the effects of solar tracking system on performance of the solar air dryer
M Das, EK Akpinar - Renewable Energy, 2021 - Elsevier
Abstract Design of the collector in solar air collector dryer (SACD) system is very important
factor for high drying performance and the effective use of solar radiation. The main purpose …
factor for high drying performance and the effective use of solar radiation. The main purpose …
Detailed analysis of mass transfer in solar food dryer with different methods
In this study, the mass transfer, effective diffusion coefficient (D eff), activation energy (E a),
and drying efficiency values of the product dried in the solar food drying system were …
and drying efficiency values of the product dried in the solar food drying system were …
Exploring novel heat transfer correlations: Machine learning insights for molten salt heat exchangers
SH Godasiaei, AJ Chamkha - Numerical Heat Transfer, Part A …, 2024 - Taylor & Francis
The utilization of molten salts in heat transfer applications, specifically within shell-and-tube
heat exchangers, has garnered significant attention for its potential in sustainable energy …
heat exchangers, has garnered significant attention for its potential in sustainable energy …