Optimization of PCM layer height of cascaded two-layered packed-bed thermal energy storage tank with capsules of varying diameters based on genetic algorithm

Zhou, Qian; Zhang, Jiuyi; Ji, Qingyuan; Liu, Yingguang

doi:10.1016/j.est.2024.110504

Cited by 2 publications

(2 citation statements)

References 43 publications

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“…Studies are aimed at maximizing the height layout of the PCM cascade layer. According to the results, charging efficiency is better when the height ratio of high and low melting point PCM layers is 12.05% and 87.95%, respectively [4]. The cascade PCM arrangement offers a balanced solution, which guarantees high HTF outlet temperatures, stable and extended thermal energy generation, and enhanced energy efficiency [5].…”

Section: Nomenclaturementioning

confidence: 93%

Numerical and parametric study of the thermal performance of a latent storage unit

Sebbar,

Labtira

2024

Preprint

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Latent heat storage is an advanced technology with advantages for heating and cooling systems, including load displacement, flexibility, and energy savings. By accumulating thermal energy efficiently during low-demand periods and using it during high-demand periods. This reduces environmental impact, and financial savings, and increases system reliability. This work aims to study numerically a latent heat storage system. This system consists of a tank filled with a phase-change material (PCM); the tank is crossed by a heat transfer fluid to charge the PCM with thermal energy. this process follows the evolution of the PCM temperature and the tank outlet temperature during the charging period. A thorough parametric study analyzes the thermal and dynamic performance of the system and studies the effect of several parameters, including tank height, HTF mass flow rate, PCM layer thickness, and the amount of energy stored during charge. The system was modeled using computational fluid dynamics (CFD) to simulate PCM phase change phenomena. Validation of the numerical model showed excellent agreement with experimental results. It was observed that a higher mass flow rate leads to a shorter storage time and lower stored energy, with values of 19.2563 kWh for a flow rate of 0.6 kg/s and 20.1642 kWh for a flow rate of 0.4 kg/s.

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Section: Nomenclaturementioning

confidence: 93%

Numerical and parametric study of the thermal performance of a latent storage unit

Sebbar,

Labtira

2024

Preprint

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“…With the continuous growth in the global demand for electricity and the restructuring of energy sources, the share of the power sector in energy consumption has become particularly important [3]. Through structural adjustment in the power industry over the past few decades, the proportion of non-fossil energy power generation and the proportion of power generation by high-efficiency thermal power units have increased [4,5], and carbon dioxide emissions has declined significantly [6,7]. According to relevant statistics, from 2006 to 2018, the reduction in carbon dioxide emissions in the Chinese electricity industry amounted to 13.7 billion tons [8], effectively slowing down the growth rate of total carbon dioxide emissions from electricity generation [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Benefit Evaluation of Carbon Reduction in Power Transmission and Transformation Projects Based on the Modified TOPSIS-RSR Method

Wang,

Chen,

Zhao

et al. 2024

Energies

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In order to fully achieve energy saving goals, it is necessary to establish a comprehensive evaluation system for carbon reduction in transmission and transformation projects. Subsequently, weights were assigned to these indicators using a combination of the fuzzy analytical hierarchy process (FAHP) and the entropy weight method (EWM) through both subjective and objective methods. Finally, the ultimate weights were obtained by applying the principle of minimum information. During the construction of the evaluation model, the rank–sum ratio (RSR) method was introduced into the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for approximating ideal solution ranking. And the Euclidean distance in TOPSIS was replaced with standardized Euclidean distance, effectively avoiding evaluation discrepancies caused by different dimensions. The modified TOPSIS-RSR method was utilized to evaluate and rank power transmission and transformation projects in four regions. By comparing the test values of the two models, the superiority of the enhanced model was confirmed. Furthermore, the GM (1,1) model is used to predict the electricity sales volume of the optimal ranking area. This evaluation model can also be applied to the benefit evaluation of carbon reduction benefits in power transmission and transformation projects in other regions.

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Optimization of PCM layer height of cascaded two-layered packed-bed thermal energy storage tank with capsules of varying diameters based on genetic algorithm

Cited by 2 publications

References 43 publications

Numerical and parametric study of the thermal performance of a latent storage unit

Numerical and parametric study of the thermal performance of a latent storage unit

Benefit Evaluation of Carbon Reduction in Power Transmission and Transformation Projects Based on the Modified TOPSIS-RSR Method

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