Estimation of condensate mass flow rate during purging time in heat recovery steam generator of combined cycle power plant

Ehyaei, M.A.

doi:10.2298/tsci111031102e

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…Suppose there is an out-of-sync at the start-up. In that case, there can be an uneven heat distribution and cause thermal overstress [33,34,35], which exceeds the yield strength of the superheater row tube, resulting in permanent bowing [36,37] on the superheater row tube; even steel straps can break. Temperature sensors that monitor thermal distribution must be sufficiently representative in number, in good condition, and calibrated.…”

Section: Damage Locationmentioning

confidence: 99%

Failure Investigation of Superheater Through Investigate the Nearest Component

Latif,

Triwibowo,

Yuliani

et al. 2023

E3S Web Conf.

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The failure of the superheater (SH) tube can cause the power plant to stop operating. A study was conducted to detect the cause of tube leak at the failure of the superheater in HRSG. This study investigated the mechanism of degradation and leak of SH HRSG by examining the SH tube adjacent to the failed SH tube. Because the failed sample was not found, this investigation was essential for the failure prevention of the recurring problem. This problem was analyzed through metallography examination, hardness test, Finite Element Method (FEM) simulation, SEM/EDS review, and tensile testing. The analysis showed that the cause of the superheater tube bending was the presence of a hotspot, which was assumed to happen when the lower flue gas flap was opened for a long time while the fluid circulation system in the superheater tube was not functioning perfectly. As a result, the thermal stress that occurs exceeds the yield strength.

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Section: Damage Locationmentioning

confidence: 99%

Failure Investigation of Superheater Through Investigate the Nearest Component

Latif,

Triwibowo,

Yuliani

et al. 2023

E3S Web Conf.

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“…In recent years, there is growing research on the application of optimization algorithms to solve the problems related to the heat exchanger and power generation units [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. For example, some researchers examined the cost minimization of the t of initial investment based on the surface area of heat as the objective function [15].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Particle Swarm Optimization of the K-Type Shell and Tube Heat Exchanger (Case Study)

Nadi

Ehyaei

Ahmadi

et al. 2021

Journal of Thermal Engineering

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This paper investigated optimization of two objectives function include the total amount of heat transfer between two mediums and the total cost of shell and tube heat exchanger. The study was carried out for k-type heat exchanger of the cryogenic unit of gas condensates by multiple objective particle swarm optimization. Six decision variables including pipe pitch ratio, pipe diameter, pipe number, pipe length, baffle cut ratio, and baffle distance ratio were taking into account to conduct this simulation-based research. The results of mathematical modeling confirmed the actual results (data collected from the evaporator unit of the Tehran refinery’s absorption chiller). The optimization results revealed that the two objective functions of heat transfer rate and the total cost were in contradiction with each other. The results of the sensitivity analysis showed that with change in the pitch ratio from 1.25 to 2, the amount of heat transfer was reduced from 420 to 390 kW about 7.8%. Moreover, these variations caused reduction in cost function from 24,500 to 23,500 $, less than 1%. On the other hand, an increase in pipe length from 3 to 12 meters, the heat transfer rate raised from 365 to 415 kW by 13.7%, while the cost increased from 20,000$ to 24500$ about 22%.

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“…The rise in the need for energy and the limited resources of fossil fuels as well as their adverse environmental effects (including global warming) have led to increased efforts to use clean energy sources. The geothermal energy has a prominent place among the renewable energies due to vast resources on the ground (Lavizeh, 2002;Saidi et al, 2005b;Ehyaei andBahadori, 2006, 2007;Ahmadi and Ehyaei, 2009;Najafi and Ghobadian, 2011;Vélez et al, 2012;Ehyaei et al, 2013;Ghasemi et al, 2013;Astolfi et al, 2014;Ehyaei, 2014;Asgari and Ehyaei, 2015;Darvish et al, 2015;Saffari et al, 2016). So far, many studies have been conducted on the use of geothermal energy.…”

Section: Introductionmentioning

confidence: 99%

Energy, exergy, and economic analysis of a geothermal power plant

Kazemi

Ehyaei

2018

Adv. Geo-Energy Res.

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Citation:Kazemi, H., Ehyaei, M.A. Energy, exergy, and economic analysis of a geothermal power plant. Advances in Geo-Energy Research, 2018, 2(2): 190-209, doi: 10.26804/ager.2018.07.Corresponding author: *E-mail: aliehyaei@yahoo.com Keywords:Geothermal cycle Organic Rankine Cycle exergy Abstract:The current study aimed at designing a geothermal power plant in the Nonal area in Damavand district for simultaneous generation of thermal energy the electric power in the network of Damavand City and a part of Tehran province, the organic working fluid for the above cycle is R245fa which is a non-flammable fluid of dry type. The values of energy efficiency, exergy, the net rate of entropy change, and the specific output power were calculated as 18.2%, 21.3%, 172.97 kW/K, and 31.43 kJ/kg, respectively. The cost of drilling a well, as well as designing and construction of Damavand's geothermal power plant, were calculated to be 4.2 and 521.5 million (USD), respectively. Also, the cost per generation of each kW/h of power in Damavand power plant was 17 cents. The estimated payback time is calculated as 15 years. The analysis of the cycle in different months of the year showed that exergy efficiency has little change. The only significant effect of temperature changes was on the exergy efficiency as approximately a change of 2% can be seen during a year.

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Estimation of condensate mass flow rate during purging time in heat recovery steam generator of combined cycle power plant

Cited by 7 publications

References 10 publications

Failure Investigation of Superheater Through Investigate the Nearest Component

Failure Investigation of Superheater Through Investigate the Nearest Component

Multi-Objective Particle Swarm Optimization of the K-Type Shell and Tube Heat Exchanger (Case Study)

Energy, exergy, and economic analysis of a geothermal power plant

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