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EXERGETIC THERMOECONOMIC HEAT EXCHANGER OPTIMIZATION MODEL Liaquat Ali Khan 05-UET/PhD-ME-18 Department of Mechanical Engineering Faculty of Mechanical & Aeronautical Engineering University of Engineering &Technology Taxila-Pakistan July 2013 EXERGETIC THERMOECONOMIC HEAT EXCHANGER OPTIMIZATION MODEL Liaquat Ali Khan 05-UET/PhD-ME-18 Department of Mechanical and Aeronautical Engineering Faculty of Mechanical & Aeronautical Engineering University of Engineering and Technology Taxila-Pakistan July 2013 i i EXERGETIC THERMOECONOMIC HEAT EXCHANGER OPTIMIZATION MODEL Author Liaquat Ali Khan 05-UET/PhD-ME-18 A thesis submitted in partial fulfillment of the requirement for the degree of PhD Mechanical Engineering Thesis Supervisor Asst. Prof. Dr. Muhammad Shehryar Thesis Supervisor‟s Signatures ________________________ _____________________________ ______________________________ External Examiner‟s Signatures External Examiner‟s Signatures Prof. Dr. Bsharat Ullah Malik Prof. Dr. Abdul Ghafoor Department of Mechanical Engineering Faculty of Mechanical & Aeronautical Engineering University of Engineering and Technology, Taxila, Pakistan July 2013 ii i Supervisor Asst. Prof. Dr. Muhammad Shehryar Members of Research Monitoring Committee Prof. Dr. Arshad Hussain Qureshi Prof. Dr. Zafar Ullah Koreshi Prof. Dr. Shahab Khushnood Foreign Research Evaluation Experts Prof. Dr. Gary Marlin Sandquist, USA Prof. Dr. Mikhael Gorokhovski, France iv Foreign Expert Evaluation Report Minor corrections (English grammar) made to abstract for dissemination. Contribution was of engineering/economic significance for performing thermodynamic analysis and optimization of heat exchangers using new methods of analysis. Gary M. Sandquist v Foreign Expert Evaluation Report This thesis is focused on the complex problem of cost/design optimization in heat exchangers. The major contribution of this thesis is two-fold. First, it is the new application of evolutionary population-based algorithm in the context of optimization of heat exchangers. Second, it is the economic analysis of improved designs, proposed in the thesis. The thesis is comprised of six chapters and six appendices. In the first chapter a general description of heat exchangers, the basic formulation of zero-dimensional thermodynamic models, and a general introduction to optimization methods are given. In the second chapter, the evolutionary algorithm is introduced. On the basis of this approach, the cost/design sensitivity analysis for shell and tube exchangers is performed in the third chapter, for different liquids and for different operating parameters. A considerable amount of results is assessed by comparison with existing approaches in the literature. Chapter four is devoted to energy recovery optimization in the cross-flow plate-fin heat exchanger. Here again in coupling with convective heat transfer relations in the plate-fin exchanger, the Author applied and assessed the evolutionary algorithm in order to minimize consumptions in the air-conditioning system. The similar strategy is applied in five‟s chapter for the cross-flow tube-fin heat exchanger. Here also the emphasis is put on the economic significance of design improvements proposed in the thesis. The thesis is ended up with conclusion (chapter six) In summary, the thesis provides a novel application of optimization methods to heat exchangers. The proposed designs and their economic analysis are straightforward to be applied in engineering. I thus give a favorable opinion for the defense of the thesis of Mr. Liaqat Ali Khan. Mikhael Gorokhovski v i Dedicated To my family, my sisters For their devotion and prayers for my success vi i Acknowledgement I am grateful for the opportunity to work with my supervisor , Dr. Muhammad Shehryar, for the guidance and encouragement conducting this research and the experience gained from the discussion on the topic. Also, his open, frank discussions concerning professional approach were enlightening and appreciated. I am also thankful to Dr. Ali Ghalban and Dr. Fathi Mahfouz for their able guidance in the early and middle stages of my research. Without their guidance and help this research will not be possible. The commitment of the remaining committee members, Dr. Arshad Qureshi, Dr. Zafar Ullah Koreshi and Dr. Shahab Khushnood also recognized. Their comments and suggestion were instructive. The Department of Mechanical and Aerospace Engineering is acknowledged for the continued generous support. Special thanks to Dr. Muhammad Shahid Khalil for his continuous guidance in administrative matter of my PhD degree program. Finally, I would like to thank my family, who has endured through my education and give love and encouragement. My sisters are appreciated for their endless unassuming support, without which this point could have never been reached. vi ii Research Work Publications 1. Liaquat A. Khan, Fathi Mahfouz, Thermoeconomic Lifecycle Cost Optimization of an Annular Fin Heat Exchanger, Pakistan Journal of Engineering and Applied Sciences, vol 11, pp 129-140, July 2012. 2. Liaquat A. Khan, Fathi Mahfouz, Thermoeconomic Lifecycle Energy Recovery System Optimization For Central Air-Conditioning System Using Evolutionary Technique, Mehran University Research Journal of Engineering & Technology, Volume 31, No. 1, pp 13-28, January, 2012. 3. Liaquat Ali Khan, Dr. Ali El-Ghalban, Heat Exchanger Exergetic Lifecycle Cost Optimization using Evolutionary Algorithms, WSEAS Transaction on Heat and Mass Transfer , Issue 1, Volume 3,, pp125-136. January 2008 4. Liaquat Ali Khan, Dr. Ali El-Ghalban, Heat Exchanger Exergoeconomic Lifecycle Cost Optimization, 3rd IASME/WSEAS Int. Conf. on Energy & Environment, University of Cambridge, UK, Feburary 23-25, 2008. ix Abstract An investigation on the life cycle cost and annual cost of heat exchanger using evolutionary optimization for both shell and tube and compact heat exchangers (plate-fin heat exchanger and tube-fin heat exchanger) is done in this thesis. Cost includes capital cost, pumping cost and exergy destruction cost. Pumping and exergy destruction costs are the components of operating cost. Considering life cycle cost during the design phase of thermal systems gives the design effort more worth. Optimized thermal parameters, which give minimum cost, are important targets for both designers and users. The optimization technique used in this study is evolutionary algorithm. Evolutionary Optimization technique has recently experienced a remarkable growth [1]. A rapid solution of the design problem enables to examine number of alternative solutions of good quality, obtained using Evolutionary algorithms. Evolutionary algorithm gives the designer more degree of freedom in the final choice compared to the traditional methods. The code for thermal design of heat exchanger and for evolutionary optimization is written in MATLAB®. For shell and tube heat exchanger life cycle cost optimization procedure has been developed. The objective function is to minimize the total cost, which includes capital cost and the sum of discounted annual energy expenditures cost related to pumping and exergy destruction. Effect of inflation on operating cost over the life of heat exchanger is also considered. A reduction of 11.4% in capital cost and savings in operating cost is up to 90.8% is obtained, with an overall decrease of life cycle cost up to 46.5%. Hence the dominant factor in the life cycle cost of heat exchanger is the operating cost [2,3]. The results obtained with Evolutionary Strategy (ES) is also compared with Genetic Algorithm (GA), Direct Search (DS) and Simplex Method (SM) which are inbuilt functions in Engineering Equation Solver (EES®) professional version. The results obtained using ES are very close to GA and also comparable with DS and SM. Sensitivity analysis with electricity prices is also performed. Parametric study of annual cost with different baffle spacing ratios (BSR), Pitch Ratio (PR) and tube arrangement is x

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I thus give a favorable opinion for the defense of the thesis of Mr. Liaqat Ali Khan. Mikhael Gorokhovski the system decreased with increasing the heat source temperature whereas both cooling and heating . networks, robotics, air traffic, game playing, control design, scheduling making learning,.
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