Application of Response Surface Methodology (RSM) for Optimization of Operating Parameters and Performance Evaluation of Cooling Tower Cold Water Temperature

Authors

  • Ramkumar RAMAKRISHNAN Department of Mechanical Engineering Annamalai University Annamalai Nagar-608002 Tamil Nadu,India
  • Ragupathy ARUMUGAM Department of Mechanical Engineering Annamalai University Annamalai Nagar-608002 Tamil Nadu,India

DOI:

https://doi.org/10.11121/ijocta.01.2012.0093

Keywords:

Cooling tower, Optimization, Response surface methodology, Cold water

Abstract

Performance  of the coolig tower was analysed with various operating parameters and find the minimum cold water temperature. In this study, optimization of operating parameters was investigated. An experimental design was carried out based on central composite design(CCD) with response surface methodology(RSM). This paper presents optimum operating parameters and   the minimum cold water temperature using RSM method.  The RSM was used to evaluate the effects of operating variables and their interaction towards the attainment of their optimum conditions. Based on statistical analysis, water flow, air flow, hot water temperature and packing height were high significant on cold water temperature, with very low probability values(<0.0001). The optimum operating parameters predicted using  RSM method and confirmed through experiment. 

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Author Biography

Ramkumar RAMAKRISHNAN, Department of Mechanical Engineering Annamalai University Annamalai Nagar-608002 Tamil Nadu,India

Our University was established on 1927 and Faculty of Engineering and TEchnology was started on 1940 with Major three Departments -Civil,Mechanical and Electrical. Mechanical Department is the Pioneer one in our state.

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Published

2011-12-23
CITATION
DOI: 10.11121/ijocta.01.2012.0093
Published: 2011-12-23

How to Cite

RAMAKRISHNAN, R., & ARUMUGAM, R. (2011). Application of Response Surface Methodology (RSM) for Optimization of Operating Parameters and Performance Evaluation of Cooling Tower Cold Water Temperature. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 2(1), 39–50. https://doi.org/10.11121/ijocta.01.2012.0093

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Section

Engineering Applications of AI