Investigation and optimization on melting performance of a triplex-tube heat storage tank by rotational mechanism

Huang, Xinyu; Li, Fangfei; Li, Yuanji; Gao, Xinyu; Yang, Xiaohu; Sundén, Bengt

doi:10.1016/j.ijheatmasstransfer.2023.123892

Cited by 43 publications

(2 citation statements)

References 46 publications

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“…The software also includes the ability to build underground models and calculate relevant meteorological parameters, using hourly weather data to calculate the energy consumption operation of buildings under real conditions, making it reliable and applicable to current simulations. In addition, self-programming languages such as MATLAB and Visual Studio, as well as fluid computing software such as Airpak and Fluent CFD have their unique advantages for different simulation calculations of building thermal characteristics [31].…”

Section: Project Overview and Simulation Softwarementioning

confidence: 99%

Heat and Humidity Transport Analysis Inside a Special Underground Building

Ai,

Xue,

et al. 2023

FHMT

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The calculation of heat and humidity load serves as the cornerstone of Heating, Ventilation, and Air Conditioning (HVAC) design. Nevertheless, as the heat and humidity load characteristics of underground structures differ substantially from those of above-ground structures, it is a challenge to derive their accurate calculation procedure through engineering experience. Therefore, it is particularly important to carry out quantitative research on heat and humidity load. This study used Design Builder software to study the influence of the design state point of air conditioning in underground buildings on energy consumption. The study showed that compared with the single design temperature of 18°C, setting the temperature of 16°C in winter and 22°C in summer could reduce energy consumption by about 59%. And the hourly heat load, cooling load and humidity load in one year are simulated and calculated so as to quantitatively analyze the characteristics of the load. This provides a database for selecting suitable HVAC equipment. It is further emphasized that dehumidification is the key to HVAC design of underground structures, which provides a reference for similar engineering designs.

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Section: Project Overview and Simulation Softwarementioning

confidence: 99%

Heat and Humidity Transport Analysis Inside a Special Underground Building

Ai,

Xue,

et al. 2023

FHMT

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“…In order to alleviate the great challenges brought by energy consumption to mankind, many scholars devote themselves to the optimization research of energy systems, such as designing more efficient physical models or using artificial intelligence methods such as machine learning to reduce energy cost during operation. Take solar energy heat storage optimization as an example, many scholars use the addition of flip mechanism [ 2 ], rotating mechanism [ [3] , [4] , [5] ], or the addition of metal foam [ 6 , 7 ], foam-fin structure [ 8 , 9 ], etc., in order to strengthen heat transfer and improve energy utilization efficiency. In addition, many scholars have used machine learning methods to optimize energy systems and have made significant achievements recently.…”

Section: Introductionmentioning

confidence: 99%

Energy-saving optimization of the parallel chillers system based on a multi-strategy improved sparrow search algorithm

Shao,

Yu,

et al. 2023

Heliyon

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Flexible and recyclable thermally conductive phase change composites with shape stability

Xu,

Sun,

Feng

et al. 2024

J of Applied Polymer Sci

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Form‐stable and flexible highly thermally conductive phase change composites are crucial for thermal management. In this work, based on the associative exchangeable crosslinkers derived from the reaction of epoxidized soybean oil (ESO) and sebacic acid (SA), a kind of flexible and recyclable thermally conductive phase change composite with shape stability is prepared. The shape stabilization is achieved through the co‐cooperation of expanded graphite (EG) and the dynamic covalent crosslinking network. The thermal conductivity is enhanced by embedding with boron nitride (BN). When the mass fraction of BN is 25%, the thermal conductivity of the composite can reach 4.03 W/(m·K). The results indicate that the prepared PCMs composites have excellent flexibility and form stability, suggesting the potential application in the thermal management for electronic devices. The presence of dynamic exchangeable bonds makes the matrix degradable under mild conditions, enabling the recycling of valuable thermally conductive fillers, which proves to be highly sustainable. This work introduces a novel method for preparing flexible and recyclable thermally conductive phase change composites with shape stability vitrimer.

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Investigation and optimization on melting performance of a triplex-tube heat storage tank by rotational mechanism

Cited by 43 publications

References 46 publications

Heat and Humidity Transport Analysis Inside a Special Underground Building

Heat and Humidity Transport Analysis Inside a Special Underground Building

Energy-saving optimization of the parallel chillers system based on a multi-strategy improved sparrow search algorithm

Flexible and recyclable thermally conductive phase change composites with shape stability

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