Thermofluids analysis of four novel anchor-shaped turbulator and Eco-friendly nanofluid (GAGNPs /H2O) in a Parabolic Trough Solar Collector: A CFD modeling approach DOI Creative Commons
M. Gholinia,

Amin Ghobadi,

E. Shahcheraghi

и другие.

International Journal of Thermofluids, Год журнала: 2024, Номер unknown, С. 101028 - 101028

Опубликована: Дек. 1, 2024

Язык: Английский

Heat Re-process Approach and Thermally Integrated Renewable Energy System for Power, Compressed Hydrogen, and Freshwater Production; ANN boosted Optimization and Techno-Enviro-Economic Analysis DOI Creative Commons
Zhaoyang Zuo,

J. Wang,

Mohammed A. Alghassab

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105748 - 105748

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

5

Performance evaluation of a novel parabolic trough solar collector with nanofluids and porous inserts DOI

Sovan Kumar Panja,

Biplab Das,

Vinyas Mahesh

и другие.

Applied Thermal Engineering, Год журнала: 2024, Номер unknown, С. 124495 - 124495

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

9

Next-Generation CSP: The Synergy of Nanofluids and Industry 4.0 for Sustainable Solar Energy Management DOI Creative Commons

Mohamed Shameer Peer,

Tsega Y. Melesse, Pier Francesco Orrù

и другие.

Energies, Год журнала: 2025, Номер 18(8), С. 2083 - 2083

Опубликована: Апрель 17, 2025

The growing demand for efficient and sustainable energy solutions underscores the importance of advancing solar technologies, particularly Concentrated Solar Power (CSP) systems. This review presents a structured evaluation two key innovation domains in CSP: application nanofluids adoption Industry 4.0 technologies. first part analyzes experimental simulation-based studies on nanofluid-enhanced CSP systems, covering four major collector types—parabolic trough, power tower, dish, Fresnel reflectors. Nanofluids have been shown to significantly enhance thermal efficiency, with hybrid formulations offering greatest improvements. second examines role technologies—including artificial intelligence (AI), machine learning (ML), digital twins (DT)—in improving system monitoring, performance prediction, operational reliability. Although few recent explore combined use tools most research addresses these areas independently. identifies this lack integration as gap current literature. By presenting separate yet complementary analyses, study offers comprehensive overview emerging pathways optimization. Key challenges future directions are highlighted, nanofluid stability, cost-efficiency, implementation at scale.

Язык: Английский

Процитировано

0

Optimization of Nanoparticle Concentration for Enhanced Performance of Therminol® VP-1-Based Nanofluids in Parabolic Trough Systems DOI Creative Commons
Soufyane Naaim,

Badr Ouhammou,

Youssef El Merabet

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105051 - 105051

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Enhanced Heat Transfer in Large-Aperture PTSCs with Semi-Circular Absorbers Using Multi-Dipole Magnetic Field: A Numerical Study DOI Creative Commons
Yassine Bouazzi,

Ali B.M. Ali,

Galal A. Ahmed Alashaari

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 106240 - 106240

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Thermofluids analysis of four novel anchor-shaped turbulator and Eco-friendly nanofluid (GAGNPs /H2O) in a Parabolic Trough Solar Collector: A CFD modeling approach DOI Creative Commons
M. Gholinia,

Amin Ghobadi,

E. Shahcheraghi

и другие.

International Journal of Thermofluids, Год журнала: 2024, Номер unknown, С. 101028 - 101028

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0