Cooling load reduction of building by seasonal nocturnal cooling water from thermosyphon heat pipe radiator

2009 ◽  
Vol 33 (12) ◽  
pp. 1089-1098 ◽  
Author(s):  
Nammont Chotivisarut ◽  
Tanongkiat Kiatsiriroat
Keyword(s):  
Heat Pipe ◽  
Cooling Water ◽  
Load Reduction ◽  
Cooling Load

Seasonal cooling load reduction of building by thermosyphon heat pipe radiator in different climate areas

2012 ◽  
Vol 38 (1) ◽  
pp. 188-194 ◽  
Author(s):  
Nammont Chotivisarut ◽  
Atipoang Nuntaphan ◽  
Tanongkiat Kiatsiriroat
Keyword(s):  
Heat Pipe ◽  
Load Reduction ◽  
Cooling Load

Application of Artificial Neural Network for Modeling of Mechanical Cooling Tower

2011 ◽  
Vol 383-390 ◽  
pp. 7746-7749 ◽  
Author(s):  
Wei Shun Huang ◽  
Ching Wei Chen ◽  
Cheng Wen Lee ◽  
Ching Liang Chen ◽  
Tien Shuen Jan ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Water Flow ◽  
Cooling Tower ◽  
Air Flow ◽  
Cooling Water ◽  
Computation Method ◽  
Cooling Load ◽  
Artificial Neural ◽  
Tower Model

The objective of the study is to focus on the application of the artificial neural network to configure a heat-radiating model for cooling towers within the parameters of fluctuating in air flow or cooling water flow. To achieve the objective, a cooling tower heat balancing equation have been used to instill the correlations between a cooling tower cooling load to the four predefined parameters. Based on the premise established, the parameters of a cooling tower’s air flow and cooling water flow in a modulated process are utilized in an experimental system for collecting relevant operating data. Lastly, the artificial neural network tool derived from the Matlab software is utilized to define the input parameters being – the cooling water temperature, ambient web-bulb temperature, cooling tower air flow, and cooling water flow, with an objective set to instilling a cooling tower model for defining a cooling tower cooling load. In addition, the tested figures are compared to the simulated figures for verifying the cooling tower model. By utilizing the method derived from the model, the mean error of between 0.72 and 2.13% is obtained, with R2 value rated at between 0.97 and 0.99. The experiment findings show a relatively high reliability that can be achieved for configuring a model by using the artificial neural network. With the support of an optimized computation method, the model can be applied as an optimization operating strategy for an air-conditioning system’s cooling water loop.

Cooling load reduction effect and its mechanism in between-glass cavity and venetian blind operation during the summer season

2013 ◽  
Vol 6 (4) ◽  
pp. 351-364 ◽  
Author(s):  
Kwang Ho Lee ◽  
Taeyeon Kim ◽  
Garam Lee ◽  
Jungyun Lee
Keyword(s):  
Summer Season ◽  
Load Reduction ◽  
Cooling Load ◽  
Reduction Effect ◽  
Venetian Blind

scholarly journals Analyzing the Heat Transfer Property of Heat Pipe Influenced by Integrated Cooling Apparatus

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Chen-Ching Ting ◽  
Chien-Chih Chen
Keyword(s):  
Heat Transfer ◽  
Thermal Conductivity ◽  
Heat Pipe ◽  
Cooling Water ◽  
Cooling Power ◽  
Capillary Structure ◽  
Transfer Property ◽  
Face To Face ◽  
Heat Transfer Property ◽  
Circulating Cooling Water

Heat pipe with discrete heat transfer property is often called thermal superconductor because it has extremely large thermal conductivity. This special heat transfer property is destroyed by integrating cooling apparatus and further reducing the cooling power of a heat pipe cooler. This paper experimentally studied the heat transfer property of heat pipe influenced by integrated cooling apparatus. To simplify the investigating process, a home-made square heat pipe with the dimensions of L×W×H=10×10×100 mm3 was built with two pieces of copper plates and two pieces of glass plates face to face, respectively. The two pieces of copper plates were constructed with inside walls of capillary structure and the two pieces of glasses were with antifog inside walls for observing the inner phenomenon. Moreover, isothermal circulating cooling water was applied outside the heat pipe instead of cooling fin. The results show that heat vapor in the heat pipe is condensed earlier and cannot reach the remote section of condenser. In other words, the heat transfer property of heat pipe is destroyed by integrating cooling water. This phenomenon causes the unfavorable cooling power of the heat pipe cooler.

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