Numerical simulation of fluid flow and thermal performance of a dry-cooling tower under cross wind condition

Su, Mingde; Tang, Guoqiang; Fu, Song

doi:10.1016/s0167-6105(98)00121-4

Cited by 131 publications

(79 citation statements)

References 6 publications

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“…They optimized size of trickles which has the less pressure drop and the highest performance. Another major parameter that affect performance of cooling towers, especially natural-draft cooling towers, is wind that widely considered in many works (Harnach and Niemann, 1980;Dachun and Chenxin, 1987;du Preez and Kröger, 1995;Su et al, 1999;Al-Waked and Behnia, 2004;Ke and Ge, 2014). Since the mean wind speed of the target site of the current research is low, and dry cooling system is one of the alternatives of this research, effect of wind speed is not considered.…”

Section: Introductionmentioning

confidence: 99%

Thermo-economic study of hybrid cooling tower systems

Parsa¹,

Shokouhmand²,

Sattari³

et al. 2016

Int. J. Phys. Sci.

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In this paper, the effects of ambient temperature and relative humidity on performance of wet, dry, and two combined cooling systems are studied for a typical 250 MW power plant in Hamedan, Iran. Although there have been many works in background of effects of different parameters on performance of cooling towers, there is no detail analysis about different alternatives of hybrid cooling systems due to the water consumption. In this study, four alternatives were considered for the cooling system: wet, dry, and two combined wet and dry cooling systems. One of the hybrid systems demanding only half of the cells of the existing wet cooling system so has a limitation for water consumption. Another one has no limitation for utilizing all of the cells of the existing wet cooling towers and as a result does not have any limitation for water consumption. Investigating mentioned cases are significant due to the lack of water in middle-east countries. Also, by means of monthly profiles of ambient temperature, the amount of annual power loss is computed for each case. The water consumption for each case, is computed as well. Finally, the best alternative was determined by computing both the capital and annual costs, and annual water consumption.

show abstract

Section: Introductionmentioning

confidence: 99%

Thermo-economic study of hybrid cooling tower systems

Parsa¹,

Shokouhmand²,

Sattari³

et al. 2016

Int. J. Phys. Sci.

View full text Add to dashboard Cite

show abstract

“…Davis (1984) recommends the use of the Integration Method, for interfaces between adjacent regions. Most of the recent applications of the CVF are in computational fluid dynamics (Vijayan & Kallinderis, 1994;Versteeg & Malalasekera, 1995;Moder, Chai, Parthasarathy, Lee & Patankar, 1996;Cordero, De Biase & Pennati, 1997;Baek, Kim & Kim, 1998;Noh & Song, 1998;Shahcheragui & Dwyer, 1998;Thynell, 1998;Chan & Anastasiou, 1999;Munz, Schneider, Sonnendrucker, Stein, Voss & Westermann, 1999;Sohankar, Norberg & Davison, 1999;Su, Tang & Fu, 1999).…”

Section: Introductionmentioning

confidence: 99%

Comparison of finite difference and control volume methods for solving differential equations

Botte

Ritter

White

2000

Computers & Chemical Engineering

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“…In dry cooling tower simulation, the radiator boundary condition is the most common way to model the heat exchanger [36,37,39,57,[68][69][70][71]. For example, the radiator model in Fluent [72] is defined as a lumped face without thickness and heat transfer process can be presented by the following equation:…”

Section: Cfd Simulationmentioning

confidence: 99%

“…According to Yang and Zhao's simulation [38,57], the air mass flow rate in the windward section is the largest and increases continuously with 31 increased crosswind speed. For the side section, the aerodynamic performance is like the flow over a vertical cylinder [36]. The tangential velocity of the airflow in the side section increases with crosswind speed.…”

Section: Crosswind Effect On the Nddctvmentioning

confidence: 99%

“…Compared with high ambient temperatures, crosswind effects are much more complex and harder to predict. It has been reported that for a NDDCT, the thermal performance of the tower could drop significantly and certain parts of the cooling tower may even stop functioning under crosswind conditions [36][37][38][39]. The crosswind has a less but still significant effect on wet cooling towers.…”

Section: Introductionmentioning

confidence: 99%

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Numerical and experimental study of small natural draft dry cooling tower for concentrating solar thermal power plant

Li¹

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The typically arid climates in the likely locations for renewable thermal power plants such as Concentrating Solar Thermal (CST) power plants provide the motivation for dry cooling technology applications. Natural draft dry cooling tower (NDDCT) with low maintenance cost and no parasitic power consumption offers a feasible and cost effective option for such applications. Compared with the conventional coal fired and nuclear power plants, the size of the CST power plant proposed for Australian regional communities is much smaller. However, the existing cooling tower design is optimised for large steam power plants, and is not optimal for these renewable power plants. (2) The performance of the experimental tower was tested at two constant heat loads of 600 kW and 840 kW, respectively, with various ambient temperatures. The 1D numerical model was refined and validated with the experimental data. The thermodynamic model of a 1 MW CST power plant running with sCO2 cycle was developed and integrated with the updated cooling tower model. Significant differences were observed between the steam Rankine and sCO2 cycles in terms of the effect of the ambient temperature on power generation. The differences between steam Rankine and sCO2 Brayton cycle in this context were analysed and discussed.(3) Two potential cooling issues with small NDDCT, the crosswind and the cold inflow, were identified and the detail experimental data were presented. The crosswind effect on small cooling tower is different from the conventional big cooling towers. With the increase of the crosswind speed, the overall cooling performance of the small NDDCT first decreases and then increases. The mixed convection theory and the Richardson Number were proposed to explain this phenomenon. On the other hand, repeated cold inflow events were observed during the tests, which cause a significant decrease of the air temperature inside the cooling tower. The water outlet temperature can be increased up to 3°C as a result of the cold inflow effect. Further analysis of the mechanism shows that the cold air incursion at the top of the cooling tower could decrease the driving force and also form an extra flow resistance for the airflow through the heat exchanger.(4) Based on the working mechanism of the air-cooled heat exchanger and the crosswind effect on NDDCT, this study proposed a new method to increase the cooling performance of NDDCT under crosswind conditions by optimizing the water mass flow rate in the air-cooled heat exchangers. By optimising the water distribution, the water outlet temperature of each heat exchanger is more uniform and the adversely influence of the crosswind can be effectively relieved.The findings in this paper can lay an important foundation for future small cooling tower design and operation.

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Numerical simulation of fluid flow and thermal performance of a dry-cooling tower under cross wind condition

Cited by 131 publications

References 6 publications

Thermo-economic study of hybrid cooling tower systems

Thermo-economic study of hybrid cooling tower systems

Comparison of finite difference and control volume methods for solving differential equations

Numerical and experimental study of small natural draft dry cooling tower for concentrating solar thermal power plant

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