Review of Energy-Related Machine Learning Applications in Drying Processes

D Đaković, M Kljajić, N Milivojević, Đ Doder… - Energies, 2023 - mdpi.com
Drying processes are among the most energy-intensive industrial processes. There is a
need for development of the efficient methods needed for estimating, measuring, and …

Performance of various solar dryer types integrating latent heat storage for drying agricultural products: An up-to-date review

A Atia, M Teggar, A Laouer - Journal of Energy Storage, 2024 - Elsevier
Solar dryers are used to dry various agricultural products cleanly and cost-effectively. Their
performance can be improved by integrating phase change materials (PCM) for thermal …

[HTML][HTML] Enhancing solar power forecasting with machine learning using principal component analysis and diverse statistical indicators

Y Djeldjeli, L Taouaf, S Alqahtani, A Mokaddem… - Case Studies in Thermal …, 2024 - Elsevier
Abstract _Predicting solar energy is essential for efficient power system planning and the
successful integration of renewable energy sources. This study aims to develop a framework …

Machine learning, mathematical modeling and 4E (energy, exergy, environmental, and economic) analysis of an indirect solar dryer for drying sweet potato

TK Abdelkader, HAA Sayed, M Refai, MM Ali, Y Zhang… - Renewable Energy, 2024 - Elsevier
A developed indirect solar dryer is built and operated to dry sweet potato cubes. Since,
numerous instruments have gathered experimental data to comprehensively evaluate the …

[HTML][HTML] Solar Dryers: Technical Insights and Bibliometric Trends in Energy Technologies

E Villagran, JJ Espitia, FA Velázquez, J Rodriguez - AgriEngineering, 2024 - mdpi.com
This review article provides a comprehensive analysis of the technical advancements and
research trends in solar drying technologies for agricultural products. The study …

Prediction of red chilli drying performance in solar dryer with natural energy storage element using machine learning models

PM Arunkumar, N Balaji, S Madhankumar… - Journal of Energy …, 2024 - Elsevier
The efficiency of the drying operation can be enhanced by accurate modeling of the system.
Machine Learning (ML) models have become crucial in accurately predicting and enhancing …

Exploring the performance of an indirect solar dryer by combining three augmentation approaches (trapezoidal absorber, shot blasting, and pebble stone)

P GaneshKumar, P Sundaram, A Sathishkumar… - Journal of Energy …, 2024 - Elsevier
The shelf life of food products can be increased by reducing their moisture content with the
aid of solar dryers. However, the poor efficiency of solar collectors increases the time and …

A comprehensive review of hybrid solar dryers integrated with auxiliary energy and units for agricultural products

D Kong, Y Wang, M Li, J Liang - Energy, 2024 - Elsevier
Solar energy as a clean and abundant energy source has been widely utilized in the drying
domain. Much research has focused on the drying system driven by solar energy to improve …

Predictive modelling with machine learning of garlic clove for novel designed solar drying system

A Kushwah, A Kumar, S Kumar - Solar Energy, 2024 - Elsevier
The design method of dual working medium, heat exchanger-evacuated tube assisted
drying system is proposed in this work. Operation control method of solar drying system is …

Employing bibliometric analysis to identify the trends, evolution, and future research directions of sand-based thermal energy storage systems

F Odoi-Yorke, R Opoku, F Davis, GY Obeng - Journal of Energy Storage, 2024 - Elsevier
Thermal energy storage (TES) systems are pivotal in enabling wider adoption of renewable
energy sources by overcoming their intermittent nature. However, many existing TES …