A machine learning approach and numerical investigation for intelligent forecasting of entropy generation rate inside a turbulator-inserted solar collector tube DOI

Yong-Hui He,

Yuancheng Geng,

Shinan Guo

и другие.

Engineering Analysis with Boundary Elements, Год журнала: 2023, Номер 158, С. 375 - 384

Опубликована: Ноя. 16, 2023

Язык: Английский

Computational Fluid Dynamics Analysis of Temperature Distribution in Solar Distillation Panel with Various Flat Plate Materials DOI Creative Commons
Trismawati Trismawati, Hendry Y. Nanlohy, Helen Riupassa

и другие.

Journal of Mechanical Engineering Science and Technology (JMEST), Год журнала: 2024, Номер 8(1), С. 108 - 108

Опубликована: Июль 8, 2024

As the world population continues to grow, demand for clean water is increasing daily, making it a crucial resource access. However, there are ways harness abundant resources like solar energy and seawater produce water. The present studies have conducted experimental investigations convert into freshwater using stills, where utilized as primary heat source evaporation. temperature distribution inside stills was analyzed flat plate made of three different materials: copper, stainless steel, aluminum. To examine performance researchers employed computational fluid dynamics simulations (Ansys R15.0). results showed variations in among materials. Copper plates achieved highest temperature, approximately 44.5 Celsius, followed by aluminum at 43.91 while steel exhibited lowest around 42.01 Celsius. average flux across materials 581 W/m2. Additionally, observations indicated that amount convection occurring copper 121.108 Watts; aluminum, 118.517 105.05 Watts. radiation 29.93 W; 16.14 13.49 W.

Язык: Английский

Процитировано

1

Experimental and Numerical Assessment of Water-Based Photovoltaic/Thermal Collectors with Varied Tubular Absorber Cross-Sections DOI Creative Commons

Shirin Rostami,

Adnan Ibrahim, Ahmad Fudholi

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер unknown, С. 105665 - 105665

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

A machine learning approach and numerical investigation for intelligent forecasting of entropy generation rate inside a turbulator-inserted solar collector tube DOI

Yong-Hui He,

Yuancheng Geng,

Shinan Guo

и другие.

Engineering Analysis with Boundary Elements, Год журнала: 2023, Номер 158, С. 375 - 384

Опубликована: Ноя. 16, 2023

Язык: Английский

Процитировано

1