[HTML][HTML] Towards highly efficient solar photovoltaic thermal cooling by waste heat utilization: A review

MM Farag, AK Hamid, MN AlMallahi… - Energy Conversion and …, 2024 - Elsevier
Photovoltaic (PV) systems are popular for their reliability and zero fuel costs. However, only
around 20% of solar energy is converted into electricity, while the remainder is dissipated as …

[HTML][HTML] Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm

Y Cao, E Kamrani, S Mirzaei, A Khandakar, B Vaferi - Energy Reports, 2022 - Elsevier
Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …

Estimating the density of deep eutectic solvents applying supervised machine learning techniques

M Abdollahzadeh, M Khosravi… - Scientific Reports, 2022 - nature.com
Deep eutectic solvents (DES) are recently synthesized to cover limitations of conventional
solvents. These green solvents have wide ranges of potential usages in real-life …

Simulation the adsorption capacity of polyvinyl alcohol/carboxymethyl cellulose based hydrogels towards methylene blue in aqueous solutions using cascade …

AH Alibak, M Khodarahmi, P Fayyazsanavi… - Journal of Cleaner …, 2022 - Elsevier
Almost all industries produce a large quantity of dye-contaminated wastewater. Wastewaters
containing a high dosage of methylene blue (MB) are a menace for human beings, the …

Estimating the relative crystallinity of biodegradable polylactic acid and polyglycolide polymer composites by machine learning methodologies

J Wang, MA Ayari, A Khandakar, MEH Chowdhury… - Polymers, 2022 - mdpi.com
Biodegradable polymers have recently found significant applications in pharmaceutics
processing and drug release/delivery. Composites based on poly (L-lactic acid)(PLLA) have …

Intelligent modeling for considering the effect of bio-source type and appearance shape on the biomass heat capacity

M Karimi, AH Alibak, SMS Alizadeh, M Sharif, B Vaferi - Measurement, 2022 - Elsevier
Biomass has attracted significant interest as a renewable energy source recently. This study
employs different artificial intelligence (AI) scenarios to determine biomass heat capacity …

Potential application of metal-organic frameworks (MOFs) for hydrogen storage: Simulation by artificial intelligent techniques

Y Cao, HA Dhahad, SG Zare, N Farouk, AE Anqi… - International Journal of …, 2021 - Elsevier
Metal-organic frameworks are a new class of materials for hydrogen adsorption/storage
applications. The hydrogen storage capacity of this structure is typically related to pressure …

[HTML][HTML] Combined septum and chamfer fins on threated stretching surface under the influence of nanofluid and the magnetic parameters for rotary seals in computer …

P Shadman, Z Parhizi, R Fathollahi, M Zarinfar… - Alexandria Engineering …, 2023 - Elsevier
In this paper, variation of temperature and velocity in the x-direction and the angular velocity
of the nanofluids flow through triangular and rectangular and chamfer fins are investigated in …

A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids

J Abdi, M Hadipoor, SH Esmaeili-Faraj, B Vaferi - Scientific Reports, 2022 - nature.com
Absorption has always been an attractive process for removing hydrogen sulfide (H2S).
Posing unique properties and promising removal capacity, ionic liquids (ILs) are potential …

Analyzing the effect of normally distributed cooling channels on a photovoltaic thermal solar unit

MA Essa, AA Alshqirate, AY Hatata - Journal of Cleaner Production, 2023 - Elsevier
Photovoltaic thermal (PVT) systems convert solar radiation into electrical and thermal energy
while keeping the PV's temperature within a permissible range. This paper presents a …