Control of Winding Burnout by Cooling Tower System Optimization

2020 ◽  
Vol 1 (1) ◽  
pp. 10-15
Author(s):  
Zhou Qinghong
Keyword(s):  
Cooling Tower ◽  
System Optimization ◽  
Tower System

scholarly journals Towards Holistic Power Tower System Optimization

2014 ◽  
Vol 49 ◽  
pp. 1573-1581 ◽  
Author(s):  
G. Weinrebe ◽  
F. von Reeken ◽  
M. Wöhrbach ◽  
T. Plaz ◽  
V. Göcke ◽  
...  
Keyword(s):  
System Optimization ◽  
Tower System

Balancing Fisheries Management and Water Uses for Impounded River Systems

2008 ◽  
Keyword(s):  
Fisheries Management ◽  
Cooling Tower ◽  
Clean Water Act ◽  
Clean Water ◽  
Aquatic Community ◽  
Thermal Output ◽  
Heated Effluent ◽  
Pollutant Discharge ◽  
Water Uses ◽  
Tower System

<em>Abstract</em>.—A multimetric reservoir bioassessment was conducted on Lake Sinclair, a 6,204-ha multipurpose impoundment in central Georgia in 2002. This bioassessment was the first application of such techniques on a reservoir in Georgia and was an integral component of a Clean Water Act Section 316(a) demonstration. Findings from this project were used to support a request for a thermal variance for the Plant Branch heated discharge. Plant Branch is an electric generating facility that withdraws water from Lake Sinclair for cooling purposes and discharges heated effluent to the reservoir under the authority of a National Pollutant Discharge Elimination System permit. A new cooling tower system began operation in 2002 and was designed to remove approximately 50% of the thermal output from the plant during summer months. Subsequently, the bioassessment was conducted to determine if a balanced, indigenous aquatic community is protected and maintained in the thermally influenced portion of Lake Sinclair.

Improving the energy efficiency of a 110 MW thermal power plant by low-cost modification of the cooling system

2018 ◽  
Vol 29 (2) ◽  
pp. 245-259 ◽  
Author(s):  
Milica Jović ◽  
Mirjana Laković ◽  
Miloš Banjac
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Cooling Tower ◽  
Cooling System ◽  
Thermal Power ◽  
Ambient Air ◽  
Electric Power System ◽  
Operating Conditions ◽  
Cooling Towers ◽  
Tower System

The electric power system of the Republic of Serbia relies mostly on lignite-fired thermal power plants, with 70% of the total electricity generation. Most of these plants are over 30 years old, and investment in their modernization is necessary. The energy efficiency of the 110 MW coal-fired power plant in which the condenser is cooled by the mechanical draught wet cooling towers system is analyzed in this paper. Attention is primarily devoted to operating conditions of the cold end of the plant, i.e. to the interrelationship of the condenser and cooling towers. Most important parameters that affect the operation of the cooling towers system are ambient air temperature and relative humidity, specific mass flow rate, and temperature of cooled water. With the existing cooling system, the overall energy efficiency of the plant is low, especially in the summer months, even less than 30%, due to adverse weather conditions. By upgrading existing cooling tower system by adaptation of two additional cooling tower cells, overall energy efficiency can be increased by 1.5%. The cooling tower system rehabilitation investments payback period is estimated to be less than one year. Static method for economic and financial assessment is used.

The Effects of Capacity Coupling and Wet Air Return on the Energy Performance of Chiller-Cooling Tower Systems

2011 ◽  
Vol 27 (4) ◽  
pp. N25-N31
Author(s):  
C.-W. Liu ◽  
Y.-K. Chuah
Keyword(s):  
Relative Efficiency ◽  
Cooling Tower ◽  
Load Ratio ◽  
Regression Function ◽  
Energy Performance ◽  
Coupling Ratio ◽  
Performance System ◽  
System Energy ◽  
Novel Concept ◽  
Tower System

ABSTRACTThis study uses a novel concept of capacity coupling of chiller-cooling tower system to investigate the system energy performance. System performance factor (SPF) of the chiller-cooling tower system is used in the analysis. A regression function is obtained for hourly reset of condensing water temperature so to achieve maximum SPF. The regression function includes parameters such as ambient wet bulb temperature, chiller load ratio, tower capacity ratio, and a dimensionless relative efficiency of chiller and cooling tower. The regression function has an R2 close to 1 compared to the computed results. It is found that for capacity coupling ratio of 1.1 ∼ 1.6, SPF would increase by about 3 ∼ 6% compared with a typical base control. The effect of wet air return is presented as an equivalent wet bulb temperature. It has been found that SPF would decrease significantly when higher equivalent wet bulb temperature occurs at the tower inlet.

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