OPTIMISING THERMAL ENERGY RECOVERY

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OPTIMISING THERMAL ENERGY RECOVERY ( optimising-thermal-energy-recovery )

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cost effective, and could achieve the same total COP as the conventional system with a cost reduction of about 50%. Castro et al. (2002) developed a prototype of an air-cooled H2O.LiBr ACs system, using solar energy to achieve a cooling effect. They used a prototype machine to validate their numerical simulation, which was then used to investigate the thermodynamic performance of the machine. From their analysis they found that a low value of internal mass flow caused an incomplete wetness of the tubes contained in the components, giving rise to poor heat and mass transfer, and hence poor performance of the machine. Şencan et al. (2004) carried out an exergy analysis of an H2O.LiBr absorption system, and found that the exergy losses and heat loads of the condenser and evaporator were less than those of the generator and absorber. They attributed the behaviour to the heat of mixing the solution, which is not present in pure fluids. From their simulation results, they found that the cooling and heating COP of the system increased slightly when the heat source temperature increased, while the exergetic efficiency decreased. Abu-Ebin et al. (2009) conducted first and second law analysis of a 10 kW solar AR system and found that about 40% of the system exergy was lost in the generator, and that this tended to increase as the generator and evaporator temperatures increased and decreased respectively. Liao et al. (2004) modelled and simulated an air-cooled AC integrated in a Combined Heat and Power (CHP) system. They found that the air-cooled AC was a feasible alternative, especially in applications where it is not necessary for the chilled water supply temperature to be too cold. Based on the 67

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