The main aim of this work is to check the bio fouling in cooling tower and its effect on power generation. The way to reduce bio fouling is necessary issue within the thermal power station, as it results in reduction of the heat transfer rate and ultimately reduction in the power generation rate of plant. So as to attenuate the energy consumption in process plant equipped with device network. In various branches of chemical industries fouling builds up on heat transfer surfaces is a heat transfer equipment burning extra fuel to compensate for a reduced heat recovery accepting reduction of plant output due to periodic equipment cleaning and recovering the cost of cleaning interventions. Microbiological fouling can cause energy losses and loss of tower efficiency. The pilot plant is very useful in the thermal power plant to test the cooling water and then it is used in the thermal power plant to reduce the losses due to the bio fouling. In large power plant they having pilot plant with PLC system and microprocessor with highly accurate sensors. It will give very accurate and direct digital readings on screen
The heat transmission improvement methods are widely utilized to raise the level of performance of the latent heat storage systems, the heat pipe is a broadly used technique utilized to improve the transmission of heat enhancement technique. Current paper comprises use of the heat pipe to vary the heat input, pulsating frequency, and flow velocity. The Heat input is varied in 0, 25, 50, 75 and 100 watts; pulsating frequency in upstream and downstream with frequency changed from 0 to 3.33 Hz; Flow velocity varied and calculated from Reynolds number which varies from 6000 to 13000. The experimental results were carried out using the design of experiments with output parameters as coefficient of heat transfer along with Nusselt number. The behavior of coefficient of heat transfer with respect to input parameters is discussed. The Analysis of variance is accustomed to check the reliability of the outcomes. The optimized input response selected using Particle swirm optimization shows Pulsating frequency of 3.33 Hz, Heat input of 100 W and Reynolds number of 13443 giving optimum heat transfer coefficient.
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