Investigation of latent heat storage system using graphite micro-particle enhancement

Dhandayuthabani, M.; Jegadheeswaran, S.; Vijayan, V.; Antony, A. Godwin

doi:10.1007/s10973-019-08625-7

Cited by 24 publications

(19 citation statements)

References 30 publications

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“…The values of improvement potential were similar [31]. The type of variation of improvement potential with time was also similar [30].…”

Section: Improvement Potentialmentioning

confidence: 56%

“…Improvement potential, is a measure of how much improvement can be possible to increase the exergy efficiency. Lower exergy efficiency would lead to higher improvement potential [30]. Improvent potencial is given [31]:…”

Section: Improvement Potentialmentioning

confidence: 99%

“…Exergy improvement potential evaluation was necessary in order to improve the exergy efficiency, because at lower exergy efficiency provided higher opportunities for improvement [30]. Figures 10(a) and 10(b) represent the improvement potential while drying ivy gourd and turkey berry, respectively, with various modes.…”

Section: Improvement Potentialmentioning

confidence: 99%

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Energy and exergy analysis of greenhouse drying of ivy gourd and turkey berry

Subramani¹,

Sivakumar²,

Thirumalai³

et al. 2020

Therm sci

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Original scientific paper https://doi.org/10.2298/TSCI190602459SThis study deals with the performance evaluation of a simple low-cost greenhouse dryer using energy and exergy analysis. Drying experiments were conducted under the open Sun and in greenhouse dryer with two different cover sheets of ultra violet polyethylene and drip lock under passive mode and active mode for two vegetables with medicinal values: ivy gourd (coccinia grandis) and turkey berry (solanum torvum). Thermal efficiency, exergy efficiency, and improvement potential were evaluated and presented. The experiment showed that performance of the greenhouse dryer was better than the open sun drying. Thermal efficiencies were up to 30.64% and exergy efficiency values were up to 0.09% and the maximum values were obtained during the drying of ivy gourd with the drip lock sheet under active mode. The results showed that this dryer could be used for drying agricultural products at low cost by the farmers in order to produce value added products from their harvested products.Drying or dehydration of food products decreases the moisture in the products to reduce weight, for easy transportation and increase shelf life. Traditionally agricultural products have been dried under the open Sun. It is a simple and economic process but has a lot of disadvantages, like depending on weather, slow process, loss due to birds, dust and other contamination. Best quality of dried products can be achieved with industrial hot air dryers, but it requires a huge amount of energy. Approximately 9.25% of the available energy in the developed countries is being consumed by drying process [3]. So, new cost and energy effective systems are essential to reduce the energy consumption. The objective of a drying system is to supply more heat to the product than available in the ambient [4]. It needs a proper thermodynamic analysis of a drying system.Energy and exergy analysis using First and Second law of thermodynamics should be performed for finding out the energy interactions and thermodynamic behavior of a drying system [5]. The analysis of a dryer should provide a quantitative measure of inefficiencies for a designer to design better systems [6]. The exergy analysis delivers suitable information to select the appropriate design and operational procedure for better performance [7].Exergy is the maximum work attained from a stream of matter, heat or work as it comes to equilibrium with a reference environment [8]. By carrying out exergy accounting in smaller and smaller subsystems, we are able to draw a map of how the destruction of exergy is scattered over the engineering system [9]. The lesser thermal efficiency of drying systems, higher price of fossil fuel and electricity and the GHG emitted from drying systems increase the importance for exergy analysis of drying systems [10]. Various exergetic indicators used in food industry are absolute exergy loss, exergetic efficiency, improvement potential, exergy destruction ratio, entropy generation, and cumulative exergy loss. Grass...

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“…The values of improvement potential were similar [31]. The type of variation of improvement potential with time was also similar [30].…”

Section: Improvement Potentialmentioning

confidence: 56%

Section: Improvement Potentialmentioning

confidence: 99%

See 1 more Smart Citation

Energy and exergy analysis of greenhouse drying of ivy gourd and turkey berry

Subramani¹,

Sivakumar²,

Thirumalai³

et al. 2020

Therm sci

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“…It observed that melting temperature for composite is less than 1/3 for pure paraffin sample. Dhandayuthabani et al [14] conducted exergy study with nanoparticles mixed PCM. Chaabane et al [15] assessment the performance of solar water heater tank by PCM capsules experimentally.…”

Section: Literature Reviewmentioning

confidence: 99%

Calorimetric investigation of magnesium nitrate hexahydrate and sodium thiosulphate pentahydrate as salt mixture encapsulated materials for thermal energy storage

Rajamani¹,

Balasubramaniam²,

Radhakrishnan³

2020

THERM SCI

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Original scientific paper https://doi.org/10.2298/TSCI190602456RThe use of magnesium nitrate hexahydrate and sodium thiosulphate pentahydrate salt composite as an encapsulated phase change material in solar water heater storage unit for thermal energy storage was experimentally tested and investigated in this research study. A differential scanning calorimetry is performed to determine the properties such as melting temperature, specific heat capacity, and latent heat of the selected mixtures for the proportion 70:30 and 80:20 by weight. For the experimentation, these two samples are stored separately in the aluminum canisters and filled in storage tank to avoid the heat loss directly. The thermal performance of the solar water heater at different zones on collector with and without using encapsulated phase change material in storage tank was tested experimentally. Maximum temperature achieved in solar water collector was 50 °C at midpoint and 46 °C at outlet of the tank. It is found that even after late evenings 18.00 IST, the average storage tank temperature with phase change material was found to be nearly 2.6 to 3.2 times greater than conventional solar water heater and the average temperature of phase change material is 42 °C. The test results shows that sample B 80:20 will produces higher amount of hot water and stores the maximum heat compared to sample A 70:30. The results demonstrate that this encapsulated phase change material cylinder stores higher latent heat of fusion and, it can also be used for indirect solar cooking and other low temperature application even at late evenings.

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“…The automotive industry, should maintain a research and development department to consistently improve the performance of their vehicle. In this sense, the expert in the R&D team of automotive industry also concentrated on the design of an effective AC system [7]. One of the major activities of R&D is manufacturing simulation, in which they design, model and simulate the vehicle and analysis its performance before manufacturing.…”

Section: Introductionmentioning

confidence: 99%

K-nearest neighbour technique for the effective prediction of refrigeration parameter compatible for automobile

Thangavel¹,

Vellingiri²,

Rajendrian³

et al. 2020

THERM SCI

120

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Manufacturing simulation is an encouraging research area in resent decade. Creation or development of better simulation tool or technique is one of the major intension in manufacturing simulation. In resent research most of the manufacturing processes are simulated successfully. But some processes are not yet simulated effectively, especially automatic air conditioning (AC) system or refrigeration system. The automatic AC system for the passenger vehicle are not yet effectively simulated. Hence in this paper a machine learning technique is adopted for the effective prediction of parameter of automatic AC system. The proposed system uses k-nearest neighbour technique for the prediction of parameter will less error and high accuracy. The proposed system is implemented using MATLAB and its performance is compared with the support vector machine and ANN in terms of mean square error and accuracy. The proposed technique outperforms the conventional technique and suggest that the k-nearest neighbour become the most suitable technique for the modelling and performance analysis of automatic AC system.

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Investigation of latent heat storage system using graphite micro-particle enhancement

Cited by 24 publications

References 30 publications

Energy and exergy analysis of greenhouse drying of ivy gourd and turkey berry

Energy and exergy analysis of greenhouse drying of ivy gourd and turkey berry

Calorimetric investigation of magnesium nitrate hexahydrate and sodium thiosulphate pentahydrate as salt mixture encapsulated materials for thermal energy storage

K-nearest neighbour technique for the effective prediction of refrigeration parameter compatible for automobile

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