Charging of phase change material layers though air heat exchanger considering TiO2 nanomaterial

Qin, Menglin; Almarashi, Adel; Talabany, Ziyad Jamil; Haider, Sajjad; Khan, Shaukat; Selim, Mahmoud M.

doi:10.1016/j.est.2021.103652

Cited by 3 publications

(2 citation statements)

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Section: Introductionmentioning

confidence: 99%

“…The lower density of SiO 2 nanoparticles causes accommodating more nanoparticles in base PCM for a specific mass fraction, and hence, the heat transfer mechanism, including the nanoparticle Brownian motion and surface area, significantly increase, which can improve thermal conductivity and charging rates. 20 PAHX, including containers filled with NEPCM, is investigated by Qin et al 21 The optimization algorithm has been commonly employed in optimizing various heat transfer-related problems. Regarding optimization in PCM systems, several researchers have utilized particle swarm optimization (PSO) and other algorithms to optimize cost-saving and increase energy-saving.…”

Section: Introductionmentioning

confidence: 99%

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Particle swarm optimization of phase change and indoor setpoint temperatures in a phase change material‐air heat exchanger for free cooling of two climate zones

Dastmalchi

Boyaghchi

2023

Energy Storage

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The simulation and free‐cooling economic optimization of a phase change material (PCM)‐air heat exchanger (PAHX), including containers filled with fictitious SiO2 nano‐enhanced PCM (NEPCM), are investigated. The airside, PCM side and heat balance governing equations are solved numerically by employing analytical solutions during the 3‐month summer from June 22 to September 22. Two climate zones of Tehran and Mashhad have been selected due to temperature contrast, especially at off‐peak times. Particle swarm optimization is employed to determine indoor setpoint temperatures (SPTs) and phase change temperatures (PCTs) to optimize the total cooling energy cost of a residential building. The effects of local climate, airflow rate, nanoparticle concentrations, and SPT range on optimization variables are studied. Two SPTs for day and night and two PCTs for melting and solidifying are between 22°C and 26°C. The mass percentage of nanoparticles is considered to be from 0% to 14%. Based on optimization analysis, Toff‐peak = 22°C, and Tpeak = 26°C are considered the best SPTs for both cities, for Mashhad Ts = 24.05°C, Tl = 18.97°C while for Tehran Ts = 24.83°C, Tl = 25.35°C are considered as the best PCTs. The optimum electrical cost increases significantly with increasing airflow rate and SPT range, while nanoparticle concentration has a low influence of up to about 3% for all desired days.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%