Digital twin model and global sensitivity analysis of an indirect type solar dryer with sensible heat storage material: An approach from exergy sustainability indicators under tropical climate conditions

• Published in: Journal of energy storage Vol. 58; p. 106368
• Main Authors: Cetina-Quiñones, A.J., Arıcı, Müslüm, Cisneros-Villalobos, L., Bassam, A.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2023
• Subjects: Exergy performance; Intelligent models; Solar dryer technology; Sustainable agriculture; Thermal energy storage; Thermal energy storage; Sustainable agriculture; Solar dryer technology; Intelligent models; Exergy performance

This research study presents the development of a digital twin model using artificial neural networks and global sensitivity analysis to estimate different exergy sustainability indicators (improvement potential, waste exergy ratio, and sustainability index) of a conventional indirect type solar dry...