Numerical Heat Transfer Analysis of Waste Heat Exchanger for Exhaust Gas Energy Recovery

The statistical analyses of the gas turbine power plant are presented in this paper. A novel approach for analysing gas turbine operation and performance is developed utilizing statistical modelling technology, specifically response surface methodology (RSM) which was based on the central composite design (CCD) applied. The proposed correlations have a remarkably satisfactory performance for all simulation data, where the determination coefficient (R 2 ) about 0.985. Moreover, the newly developed correlations were validated with the real data from the gas turbine of MARAFIQ CCGT power plant. Moreover, the newly developed correlations were validated with the real data from the GT units in the MARAFIQ CCGT power plant. The error analysis was applying to approximation the error (1.123% of the GT plants). From applied the ANFIS technique, the optimum thermal efficiency was about 56% with the effect of the pressure ratio and compressor isentropic efficiency.

Section: Introductionmentioning

confidence: 99%

Statistical analysis and optimum performance of the gas turbine power plant

Ibrahim¹,

Rahman²,

Kamil³

et al. 2022

“…In the literature, a large number of studies dealing with the effects of the Dufour and Soret parameters on heat and mass transfer problems on Newtonian and viscoelastic fluids have appeared [12,13]. These effects are considered as second order phenomena and have often been neglected in the heat and mass transfer processes [14][15][16]. Bég et al [17] emphasised the effect of Soret and Dufour on convective heat and mass transfer.…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis of diffusion effects on convective heat and the mass transfer of two fluids in a vertical channel

Babu¹,

Srinivas²,

Srikanth³

2017

In this paper the thermo diffusion and diffusion thermo effects on convective heat and mass transfer along a vertical channel filled with micropolar and viscous fluids have been presented. The coupled system of governing equations is solved numerically using the Galerkin finite element method subjected to the boundary and interface conditions. The effects of the pertinent parameters on the velocity, angular velocity (micro rotation), temperature and diffusion profiles are studied in detail and presented graphically. Furthermore, the rate of heat transfer, mass transfer and shear stress near both walls is entered in tables. It is found that rate of heat transfer enhances vigorously on the hot wall and reduces slowly on the cold wall under the diffusion thermo effect. The rate of mass transfer is higher near the left wall and reduces rapidly on the right wall due to the thermo diffusion effect.

“…Globally, R22 is used as a refrigerant in most air conditioning systems for its suitable properties such as stability, non-toxicity, non-flammability [1][2][3][4] and good thermodynamic properties [5]. The general cause of ozone layer depletion is that Chlorofluorocarbons (CFCs) and Hydrochlorofluorocarbons (HCFCs) which are a large class of chlorine containing chemicals, migrate to the stratosphere where they react with the ozone [6].…”

Section: Introductionmentioning

confidence: 99%

Performance and exergetic investigation of a domestic sp

Raiyan¹,

Ahamed²,

Rahman³

et al. 2017

In this article, the mechanical performance and exergy of a one-ton split type air conditioning system by using the mixture of two different refrigerants of different proportions have been investigated. It has become necessary to find an alternative of Chlorodifluoromethane (R22) as it has high ODP (Ozone Depletion Potential) and GWP (Global Warming Potential). Propane (R290) has a lower ODP and GWP and in this project, it was considered with R22 for making different blends. Here, two different mixtures of R22 and R290 (respectively), were prepared and denoted as X6 and X7. After conducting a test run for several hours, evaporator temperature, condenser temperature, compressor suction and discharge pressure, and enthalpy at different points (obtained from REFPROP) were measured. By using experimentally obtained data, power consumption and Coefficient of Performance (COP) were calculated for different refrigerants. Different characteristic graphs were drawn establishing relation among various parameters. It was found that during the same observation period, the mixture X6 and X7 consumed less electric power than R22. Moreover, the COP was also found to be higher for X6 and X7 than that of R22. Finally, total exergy destruction in all components was calculated for different refrigerants and comparative analysis was made.