Synthesis and characterization of sensible thermal heat storage mixture containing phosphate compound of cobalt and sodium

Samala, Swapna; Brahma, Gouri Sankhar; Swain, Trilochan

doi:10.1016/j.solener.2018.11.042

Cited by 15 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, thermal conductivity of concrete increased from 0.74 W/mK up to 2.74 W/mK by adding recycled metallic shavings. Samala et al (2019) synthesized cobalt (II) sulfate heptahydrate (CoSO4.7H2O) and phosphoric acid (H3PO4) mixture in 1:1 ratio to produce non-calcined Co3(PO4)2 4(H2O) Na2HPO4 0.1Na2SO4 mixture and calcined Co3(PO4)2 3.5(H2O) Na2HPO4 0.1Na2SO4 mixture. Both samples showing endothermic behavior during heating process can be used as STESM.…”

Section: 331physical Methodsmentioning

confidence: 99%

Review on sensible thermal energy storage for industrial solar applications and sustainability aspects

2020

View full text Add to dashboard Cite

Section: 331physical Methodsmentioning

confidence: 99%

Review on sensible thermal energy storage for industrial solar applications and sustainability aspects

2020

View full text Add to dashboard Cite

“…Both the compounds were characterized using FTIR, XRD, Elemental analysis (ICP‐OES and C, H, N), thermo‐gravimetric analysis (TGA)‐DTA, DSC, and UV‐Visible‐NIR absorption spectroscopy and SEM. The standard method and procedure of characterization were adopted as published in the literature 4 . All the above characterization was performed in CSIR‐IICT, Hyderabad.…”

Section: Methodsmentioning

confidence: 99%

“…The cost of these solar PV panels is not only very high due to the use of highly sophisticated mechanical parts but also high maintenance cost that discourages making it popular 3 . Recently our group extensively studied the thermal energy storage of various phosphate composite materials using differential scanning calorimetry (DSC) 4–6 . These phosphate‐based compounds are not only very cheap but also highly efficient compared to other materials used for thermal energy storage 7,8 .…”

Section: Introductionmentioning

confidence: 99%

Thermal application of composites of iron and magnesium in thermosyphon solar water heating system

et al. 2021

Self Cite

View full text Add to dashboard Cite

A novel and low‐cost mixture of iron and magnesium have been synthesized and used as selective coatings for flat plate absorber in solar water heating system. The commercial black paint is fabricated with the mixture of composition Fe3(PO4)2·0.1Mg2P2O7·1.9 MgSO4(FPM3A). The composition of the coating mixture has been characterized by various analytical techniques. Thermal studies of these mixtures were accomplished using differential scanning calorimetry and thermo‐gravimetric analysis. From the thermal analysis, it has been observed that the mixtures can be used as thermal heat storage materials. The FPM3A‐modified black paint has been tested in a thermosyphon solar water heater prototype. The average water temperature and efficiency of the flat plate absorber with FPM3A‐modified black paint have increased by an average of 7.5° and around 12%, respectively, in comparison with that with commercial unprocessed black paint.

show abstract

“…Each storage material occurs in a different physical state, storing and release energy differently. For example, SHS materials store and release energy through a change in temperature, and LHS materials store the energy mainly based on phase change. , However, the THS system utilizes reversible thermochemical reactions for heat storage. In this paper, we search for materials based on SHS, and those are materials which are affected by an increase or decrease of the material temperature.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Accelerated Discovery of Promising Thermal Energy Storage Materials with High Heat Capacity

Ojih

Onyekpe

Rodriguez

et al. 2022

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

Thermal energy storage offers numerous benefits by reducing energy consumption and promoting the use of renewable energy sources. Thermal energy storage materials have been investigated for many decades with the aim of improving the overall efficiency of energy systems. However, finding solid materials that meet the requirement of high heat capacity has been a grand challenge for material scientists. Herewith, by training various machine learning models on 3377 high-quality data from full density functional theory (DFT) calculations, we efficiently search for potential materials with high heat capacity. We build four traditional machine learning models and two graph neural network models. Cross-comparison of the prediction performance and model accuracy was conducted among different models. The deeperGATGNN model exhibits high prediction accuracy and is used for predicting the heat capacity of 32,026 structures screened from the open quantum material database. We gain deep insight into the correlation between heat capacity and structure descriptors such as space group, prototype, lattice volume, atomic weight, etc. Twenty-two structures were predicted to possess high heat capacity, and the results were further validated with DFT calculations. We also identified one special structure, namely, MnIn2Se4, with space group no. 227 (Fd3̅m), that exhibits extremely high heat capacity, even higher than that of the Dulong–Petit limit at room temperature. This study paves the way for accelerating the discovery of novel thermal energy storage materials by combining machine learning with minimal DFT inquiry.

show abstract

Synthesis and characterization of sensible thermal heat storage mixture containing phosphate compound of cobalt and sodium

Cited by 15 publications

References 17 publications

Review on sensible thermal energy storage for industrial solar applications and sustainability aspects

Review on sensible thermal energy storage for industrial solar applications and sustainability aspects

Thermal application of composites of iron and magnesium in thermosyphon solar water heating system

Machine Learning Accelerated Discovery of Promising Thermal Energy Storage Materials with High Heat Capacity

Contact Info

Product

Resources

About