Second law analysis of latent thermal storage for solar system

Kousksou, T.; Strub, Françoise; Castaing-Lasvignottes, Jean; Jamil, A.; Bédécarrats, Jean-Pierre

doi:10.1016/j.solmat.2007.04.029

Cited by 117 publications

(28 citation statements)

References 15 publications

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“…With a cycle of charging or discharging process, the net entropy generation (S gen ) can be expressed as [68,[80][81][82]:…”

Section: Generation Of Entropymentioning

confidence: 99%

“…(6.56) is valid only when the temperature of the PCM is always equal to its melting point throughout the phase transition period. If there is sensible heat transfer involved, the entropy variation should be [82]:…”

Section: Generation Of Entropymentioning

confidence: 99%

“…The enhancement mechanisms have been assessed by using energy and exergy analysis. Compared to energy analysis, exergy analysis is still much less presented in the open literature [57,73,75,82,154,155].…”

Section: Principlesmentioning

confidence: 99%

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Waste Thermal Energy Harvesting (III): Storage with Phase Change Materials

Kong

Hng

et al. 2014

Waste Energy Harvesting

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In last two chapters, both methods to harvest waste thermal energy through the conversion to electricity. In this chapter, energy storage (ES) as an alternative method to harvest waste thermal energy, especially by using phase change materials (PCMs), will be presented.ES, as suggested by the name, is to store a certain form of energy, which thus be used later when necessary. A device that can be used to store any form of energy is generally called an accumulator. There are various forms of energy, commonly including kinetic energy, potential energy (e.g., gravitational or chemical), electrical energy, thermal energy, and so on. All these forms of energy could be stored by using an appropriate method [1,2]. For instance, mechanical energy can be stored by using hydrostorage, compressed air storage, and flywheels, while electrical energy is stored by using various batteries and supercapacitors. Thermal energy storage (TES) is the main content of this chapter.This chapter is arranged as follows. A brief description on various TES conceptions, together with a comparison, will be presented first. Among them, PCMs for TES will be emphasized. After that, PCMs with their classification according to their composition will be discussed. Design criteria, heat transfer phenomena, configuration of various PCM TES systems, which have been reported in open literature, will be summarized. Specific attention will be paid to the exergy analysis. The main applications of the PCM storage systems will be listed, analyzed, and compared. Strategies that have been used to improve the performance of such storage systems will be thoroughly evaluated. It will be ended with concluding remarks and perspectives of development of this technology.

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“…With a cycle of charging or discharging process, the net entropy generation (S gen ) can be expressed as [68,[80][81][82]:…”

Section: Generation Of Entropymentioning

confidence: 99%

Section: Generation Of Entropymentioning

confidence: 99%

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Waste Thermal Energy Harvesting (III): Storage with Phase Change Materials

Kong

Hng

et al. 2014

Waste Energy Harvesting

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“…The optimisation resulted in an analytical model that compared well to experimental data they generated a priori. Kousksou et al [18] conducted a second law analysis of latent thermal storage for a solar system where they studied the behaviour of phase change material in the form of its melting temperature. Exergy analysis of phase change materials was also conducted by Li et al [19] where they developed a mathematical model for the thermal storage of energy from a solar collector system.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic optimisation and computational analysis of irreversibilities in a small-scale wood-fired circulating fluidised bed adiabatic combustor

Baloyi¹,

Bello‐Ochende²,

Meyer³

2014

Energy

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An analysis of irreversibilities generated due to combustion in an adiabatic combustor burning wood was conducted. This was done for a reactant mixture varying from a rich to a lean mixture. A non-adiabatic non-premixed combustion model of a numerical code was used to simulate the combustion process where the solid fuel was modelled by using the ultimate analysis data. The entropy generation rates due to the combustion and frictional pressure drop processes were computed to eventually arrive at the irreversibilities generated. It was found that the entropy generation rate due to frictional pressure drop was negligible when compared to that due to combustion. It was also found that a minimum in irreversibilities generated was achieved when the Air-Fuel mass ratio was 4.9, which corresponds to an equivalence ratio of 1.64, which are lower than the respective Air-Fuel mass ratio and equivalence ratio for complete combustion with theoretical amount of air of 8.02 and 1.

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“…The average heat-transfer coefficient was more affected by the Reynolds number, the inlet and initial temperature of the heat transfer fluid during the melting process than during the freezing process. Kousksou et al [9] developed a theoretical model for analysis and optimization of the solar system with a cylindrical tank that contains spherical capsules filled with PCM. Energy and exergy analyses were carried out to understand the behavior of the system using single or multiple PCMs.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Charging Performance of a Solar Latent Heat Storage Unit for Efficient Energy Utilization

Fang

Liu

2010

Chem Eng & Technol

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The dynamic charging performance of a solar heat storage system involving a packed bed containing spherical capsules is studied. The dynamic charging process of the solar heat storage system is simulated according to the energy balance equations. Paraffin is used as the phase change material (PCM) and water is used as the heat transfer fluid (HTF). The temperatures of the PCM and HTF, melting fraction and solar heat storage capacity are illustrated and analyzed. The influences of inlet temperature, initial temperature and flow rate of HTF, and the porosity of the packed bed on the charging time and heat storage capacity during the heat storage process are also discussed.

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Second law analysis of latent thermal storage for solar system

Cited by 117 publications

References 15 publications

Waste Thermal Energy Harvesting (III): Storage with Phase Change Materials

Waste Thermal Energy Harvesting (III): Storage with Phase Change Materials

Thermodynamic optimisation and computational analysis of irreversibilities in a small-scale wood-fired circulating fluidised bed adiabatic combustor

Dynamic Charging Performance of a Solar Latent Heat Storage Unit for Efficient Energy Utilization

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