Assessment of impregnating phase change materials into lightweight aggregates for development of thermal energy storage aggregate composites

Sani, Abubakar Kawuwa; Olawoore, Isaac Olaniyi; Singh, Rao Martand

doi:10.1016/j.conbuildmat.2021.124683

Cited by 17 publications

(9 citation statements)

References 53 publications

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“…Sani et al. [ 33 ] applied two coatings of primer epoxy resin and graphite powder to PCM impregnated lightweight aggregates while Hassan et al. [ 6 ] coated PCM impregnated lightweight expanded clay aggregate with geopolymer paste.…”

Section: Resultsmentioning

confidence: 99%

Phase change material infused recycled brick aggregate in 3D printed concrete

Christen

Cho

Zijl

et al. 2022

Heliyon

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Section: Resultsmentioning

confidence: 99%

Phase change material infused recycled brick aggregate in 3D printed concrete

Christen

Cho

Zijl

et al. 2022

Heliyon

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“…The technology of impregnating LWC has been widely used [ 55 , 56 ]. Sodium silicate (Na 2 SiO 3 ) can effectively increase the elastic modulus of concrete when encapsulated with different microcapsules [ 30 , 31 , 57 ].…”

Section: Components and Mechanisms Of Lightweight Aggregate Self-heal...mentioning

confidence: 99%

“…With water and LWAs, sufficient moisture ensured the progress of hydration, and the early self-shrinkage of LWC increased with the rise of its pre-wetting degree due to the moisture provided by pre-wetting [ 98 ]. Sani et al [ 55 ] showed the role of sodium silicate in producing C-S-H gels. Concrete containing sodium silicate-impregnated LWAs and control samples were pre-cracked to a crack width of 300 µm.…”

Section: Performance Of Lightweight Aggregate Self-healing Concretementioning

confidence: 99%

A Review of Lightweight Self-Healing Concrete

Feng

Zhou

2022

Materials

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Cementitious composites often crack because of their low tensile strength. The ability of self-healing cementitious composite to automatically repair cracks has attracted widespread attention. Lightweight aggregate (LWA) has a low density and a high porosity which can provide storage space for a healing agent. The healing mechanisms and healing compositions of lightweight self-healing concrete (LWSHC) have been summarized in this research. The workability, compressive strength, crack repairing, and durability of LWSHC performance is also illustrated. A LWA with interconnected pores and a high strength should be integrated into LWSHC to increase the crack closure rate and mechanical properties. Expanded perlite is the most suitable LWA carrier for bioremediation. The chemical healing agents are better than the biological healing agents at present since the biological healing agents have more negative effects. A sodium silicate solution is a good choice as a chemical healing agent. Vacuum conditions, high-temperature processing, and the use of coating technologies on LWAs can improve the healing effect of LWSHC. The addition of fibers also enhance the self-healing ability of LWSHC. Further, the use of numerical simulation supports the healing performance of LWSHC. The goal of this research is to investigate the most appropriate component of LWSHC to ensure a high crack closure rate, strength healing ratio, and great durability while being lightweight. It can then be adopted in high-rise and large-span concrete structures to extend the service life.

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“…These studies usually aim to enhance the energy efficiency of buildings and infrastructure through energy storage. Sani et al [21] developed and investigated the performance of PCM-impregnated lightweight aggregate. The process was complex, involving impregnation under vacuum conditions, coating with epoxy, and applying graphite on the surface of the coated aggregate.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Simulation of the Air Conditioner Operating Time in Concrete Structures with Bayesian Thresholding

Jang,

Kim,

Woo

2024

Materials

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Efficient energy use is crucial for achieving carbon neutrality and reduction. As part of these efforts, research is being carried out to apply a phase change material (PCM) to a concrete structure together with an aggregate. In this study, an energy consumption simulation was performed using data from concrete mock-up structures. To perform the simulation, the threshold investigation was performed through the Bayesian approach. Furthermore, the spiking part of the spiking neural network was modularized and integrated into a recurrent neural network (RNN) to find accurate energy consumption. From the training-test results of the trained neural network, it was possible to predict data with an R2 value of 0.95 or higher through data prediction with high accuracy for the RNN. In addition, the spiked parts were obtained; it was found that PCM-containing concrete could consume 32% less energy than normal concrete. This result suggests that the use of PCM can be a key to reducing the energy consumption of concrete structures. Furthermore, the approach of this study is considered to be easily applicable in energy-related institutions and the like for predicting energy consumption during the summer.

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Assessment of impregnating phase change materials into lightweight aggregates for development of thermal energy storage aggregate composites

Cited by 17 publications

References 53 publications

Phase change material infused recycled brick aggregate in 3D printed concrete

Phase change material infused recycled brick aggregate in 3D printed concrete

A Review of Lightweight Self-Healing Concrete

Machine Learning-Based Simulation of the Air Conditioner Operating Time in Concrete Structures with Bayesian Thresholding

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