Machine learning, mathematical modeling and 4E (energy, exergy, environmental, and economic) analysis of an indirect solar dryer for drying sweet potato-Reference-Cited by-同舟云学术

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

Published:2024-06 Issue: Volume:227 Page:120535
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Abdelkader Tarek Kh.,Sayed Hassan A.A.,Refai Mohamed,Ali Mahmoud M.,Zhang Yanlin,Wan Q.,Khalifa Ibrahim^ORCID,Fan Qizhou,Wang Yunfeng,Abdelhamid Mahmoud A.

Publisher

Elsevier BV

Reference43 articles.

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3. Techno-economic analysis of an indirect solar dryer with thermal energy storage: an approach with machine learning algorithms for decision making;Cetina-Quiñones;Therm. Sci. Eng. Prog.,2023

4. Effects of the climatic conditions and the shape on the drying kinetics, Application to solar drying of potato-case of Maghreb's region;Nasri;J. Clean. Prod.,2018

5. Flat micro heat pipe-based shell and tube storage unit for indirect solar dryer: a pilot study;Abdelkader;Environ. Sci. Pollut. Res.,2023

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