Using nanoparticles in solar collector to enhance solar-assisted hot process stream usefulness

Alqaed, Saeed; Mustafa, Jawed; Sharifpur, Mohsen; Cheraghian, Goshtasp

doi:10.1016/j.seta.2022.101992

Cited by 10 publications

(2 citation statements)

References 82 publications

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“…Alqaed et al analysed the application of CuO nanofluid based DASC in HVAC system in three cities with different climate in Suadi Arabia. According to their results, they found that in Sharorah, energy savings in the presence of CuO were determined to be 18,730 kWh 19,440 kWh, and 20,430 kWh for 25, 50, and 100 ppm, respectively [15]. Vakili et al forecasted the performance of a low-temperature DASC improved with nanofluids, by developing an artificial neural network (ANN) adaptive neuro-fuzzy inference system (ANFIS) model.…”

Section: -2mentioning

confidence: 99%

Performance Improvement of Nanofluid Based Direct Absorption Solar Collector (DASC) by Pulsating Flowrate

Bozorgi¹,

Ghasemi²,

Mohaghegh³

et al. 2022

International Conference on Energy Harvesting, Storage, and Transfer

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Solar energy systems have been recognized as a significant component of HVAC systems during the last two decades, providing thermal and electrical energy for a variety of applications. Meanwhile, nanofluid-based Direct Absorption Solar Collectors (DASCs) hold great potential for converting solar radiation to thermal energy in energy systems since nanoparticles significantly improve the energy-absorbing potential of the base fluid. The primary impediment to commercializing these collectors is the sedimentation and agglomeration of nanoparticles over an extended period of time. The novel design of direct absorption solar collector was modelled in this study by COMSOL software using water and silver nanofluid as the working fluid and the effect of pulsating flowrate on the DASC's performance was investigated in order to increase efficiency and reduce nanoparticle sedimentation and agglomeration. According to the results, collector efficiency can be increased by using pulsing flowrates, and this improvement is much more pronounced when nanofluid is employed as the working fluid, increasing efficiency to 84.2 percent. The energy efficiency of the DASC rises by 5% and 3% with pulsing flowrates for silver nanofluid and water, respectively. Thus, using pulsating flowrate in the direct absorption solar collector can grow thermal efficiency while simultaneously preventing nanoparticle deposition and aggregation in the collector. The findings of this research can pave the way for the use of nanofluid-based direct absorption solar collectors in a variety of energy systems.

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Section: -2mentioning

confidence: 99%

Performance Improvement of Nanofluid Based Direct Absorption Solar Collector (DASC) by Pulsating Flowrate

Bozorgi¹,

Ghasemi²,

Mohaghegh³

et al. 2022

International Conference on Energy Harvesting, Storage, and Transfer

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show abstract

“…Today, attention has been paid to the topic of HTR [14,15]. Specifically, solar energy has been of great interest to researchers, and many researchers assume solar energy to be an effective substitute for traditional energy resources [16][17][18][19]. Solar panels can be employed to harvest solar energy [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Approach for Modeling the Nanofluid Flow in a Solar Thermal Panel in the Presence of Phase Change Materials

Alqaed

Mustafa²,

Almehmadi³

et al. 2022

Processes

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Considering the importance of environmental protection and renewable energy resources, particularly solar energy, the present study investigates the temperature control of a solar panel using a nanofluid (NFD) flow with eco-friendly nanoparticles (NPs) and a phase change material (PCM). The PCM was used under the solar panel, and the NFD flowed through pipes within the PCM. A number of straight fins (three fins) were exploited on the pipes, and the output flow temperature, heat transfer (HTR) coefficient, and melted PCM volume fraction were measured for different pipe diameters (D_Pipe) from 4 mm to 8 mm at various time points (from 0 to 100 min). Additionally, with the use of artificial intelligence and machine learning, the best conditions for obtaining the lowest panel temperature and the highest output NFD temperature at the lowest pressure drop have been determined. While the porosity approach was used to model the PCM melt front, a two-phase mixture was used to simulate NFD flow. It was discovered that the solar panel temperature and output temperature both increased considerably between t = 0 and t = 10 min before beginning to rise at varying rates, depending on the D_Pipe. The HTR coefficient increased over time, showing similar behavior to the panel temperature. The entire PCM melted within a short time for D_Pipes of 4 and 6 mm, while a large fraction of the PCM remained un-melted for a long time for a D_Pipe of 8 mm. An increase in D_Pipe, particularly from 4 to 6 mm, reduced the maximum and average panel temperatures, leading to a lower output flow temperature. Furthermore, the increased D_Pipe reduced the HTR coefficient, with the PCM remaining un-melted for a longer time under the panel.

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Development and comparison of parametric models to predict global solar radiation: a case study for the southern region of Saudi Arabia

Mustafa

Alqaed

Almehmadi

et al. 2022

J Therm Anal Calorim

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Using nanoparticles in solar collector to enhance solar-assisted hot process stream usefulness

Cited by 10 publications

References 82 publications

Performance Improvement of Nanofluid Based Direct Absorption Solar Collector (DASC) by Pulsating Flowrate

Performance Improvement of Nanofluid Based Direct Absorption Solar Collector (DASC) by Pulsating Flowrate

Machine Learning-Based Approach for Modeling the Nanofluid Flow in a Solar Thermal Panel in the Presence of Phase Change Materials

Development and comparison of parametric models to predict global solar radiation: a case study for the southern region of Saudi Arabia

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