A new optimized artificial neural network model to predict thermal efficiency and water yield of tubular solar still (vol 30, 101750, 2022)

被引：0

作者：

Moustafa, Essam B. ^{[1
]}

Hammad, Ahmed H. ^{[2
]}

Elsheikh, Ammar H. ^{[3
]}

机构：

[1] King Abdulaziz Univ, Dept Mech Engn, Jeddah 22254, Saudi Arabia

[2] King Abdulaziz Univ, Ctr Nanotechnol, Jeddah, Saudi Arabia

[3] Tanta Univ, Fac Engn, Tanta 31527, Egypt

来源：

CASE STUDIES IN THERMAL ENGINEERING | 2024年 / 58卷

关键词：

D O I：

10.1016/j.csite.2024.104407

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

引用

页数：1

共 10 条

[1] A new optimized artificial neural network model to predict thermal efficiency and water yield of tubular solar still
Moustafa, Essam B.
Hammad, Ahmed H.
Elsheikh, Ammar H.
CASE STUDIES IN THERMAL ENGINEERING, 2022, 30
[2] A proper model to predict energy efficiency, exergy efficiency, and water productivity of a solar still via optimized neural network
Nazari, Saeed
Bahiraei, Mehdi
Moayedi, Hossein
Safarzadeh, Habibollah
JOURNAL OF CLEANER PRODUCTION, 2020, 277
[3] A NEW STUDY ON THE PREDICTION OF THERMAL EFFICIENCY PROPERTIES OF OLDROYD-B NANOFLUID FLOW IN SOLAR WATER PUMPS WITH AN ARTIFICIAL NEURAL NETWORK MODEL WITH BAYESIAN REGULARIZATION ALGORITHM
Colak, Andac Batur
HEAT TRANSFER RESEARCH, 2025, 56 (07)
[4] Thermal performance analysis of an inclined passive solar still using agricultural drainage water and artificial neural network in arid climate
Mashaly, Ahmed F.
Alazba, A. A.
SOLAR ENERGY, 2017, 153 : 383 - 395
[5] Application of New Artificial Neural Network to Predict Heat Transfer and Thermal Performance of a Solar Air-Heater Tube
Bhattacharyya, Suvanjan
Sarkar, Debraj
Roy, Rahul
Chakraborty, Shramona
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SUSTAINABILITY, 2021, 13 (13)
[6] Using neural network optimized by imperialist competition method and genetic algorithm to predict water productivity of a nanofluid-based solar still equipped with thermoelectric modules
Bahiraei, Mehdi
Nazari, Saeed
Moayedi, Hossein
Safarzadeh, Habibollah
POWDER TECHNOLOGY, 2020, 366 : 571 - 586
[7] Deep neural network model for predicting thermal-hydraulic performance of a solar air heater with artificial roughness: Sensitivity, generalization capacity, and computational efficiency
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Mitra, Santanu
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PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 188 : 821 - 833
[8] Improvement of the classical artificial neural network simulation model of the parabolic trough solar collector outlet temperature and thermal efficiency using the conformable activation functions
Ajbar, W.
Solis-Perez, J. E.
Viera-Martin, E.
Parrales, A.
Gomez-Aguilar, J. F.
Hernandez, J. A.
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 36
[9] RETRACTION: A new nonlinear formulation-based prediction approach using artificial neural network (ANN) model for rubberized cement composite (Retraction of Vol 38, Pg 283, 2022)
Jalal, Mostafa
Grasley, Zachary
Gurganus, Charles
Bullard, Jeffrey W.
ENGINEERING WITH COMPUTERS, 2023, 39 (05) : 3249 - 3249
[10] Second law efficiency and thermal entropy generation of 30:70% of glycerol + water based SiO2 nanofluids in a thermosyphon flat plate collector: Experimental and Bayesian artificial neural network algorithm
Sundar, L.S. (sundaruapor@gmail.com), 2025, 25

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