Sizing, selection, and comparison of heat exchangers considering the lowest saving-investment ratio corresponding to the area at the tag end of the heat exchanger

A new method has been developed to determine the area of waste heat recovery heat exchangers considering the lowest saving-investment ratio corresponding to the area at the tag end of the heat exchanger. Applying this method to any existing heat exchanger, the saving-investment ratio performance considering the area at the tag end of the heat exchanger can also be determined and compared with its optimum value having the same technical and economical parameters. In this study, the distributions of saving-investment ratio in heat exchangers have been obtained based on known technical and economical parameters and NTU (Number of Transfer Units) as d(TYO) = E/Eopt, where Eopt is investment saving potential ratio at optimum, E is local investment-saving potential ratio and dimensionless, which is suggested as “Teke Number” and it is derivatives of effectiveness according to NTU.

[1]  R. Cornelissen,et al.  Thermodynamic optimisation of a heat exchanger , 1999 .

[2]  Pouria Ahmadi,et al.  Modeling and thermo-economic optimization of heat recovery heat exchangers using a multimodal genetic algorithm , 2012 .

[3]  Ahmet Dagdas.  Heat exchanger optimization for geothermal district heating systems: A fuel saving approach , 2007 .

[4]  G. T. Polley,et al.  Optimum heat exchanger design : Process design , 1992 .

[5]  Pradeep Bansal,et al.  An NTU-ε model for alternative refrigerants , 1998 .

[6]  Petr Stehlík,et al.  Heat transfer as an important subject in waste-to-energy systems , 2007 .

[7]  Hasan Hüseyin Erdem,et al.  Performance analysis and optimization of heat exchangers: a new thermoeconomic approach , 2010 .

[8]  Özden Ağra,et al.  Sizing and selection of heat exchanger at defined saving–investment ratio , 2011 .

[9]  M. S Söylemez.  On the thermoeconomical optimization of heat pipe heat exchanger HPHE for waste heat recovery , 2003 .

[10]  Antonio Casimiro Caputo,et al.  Heat exchanger design based on economic optimisation , 2008 .

[11]  R. Rao,et al.  Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm , 2013 .

[12]  Pooya Hoseinpoori,et al.  Energy and cost optimization of a plate and fin heat exchanger using genetic algorithm , 2011 .

[13]  Hélio Aparecido Navarro,et al.  Effectiveness-ntu computation with a mathematical model for cross-flow heat exchangers , 2007 .

[14]  Rein Luus.  Optimization of heat exchanger networks , 1993 .

[15]  Salim Fettaka,et al.  Design of shell-and-tube heat exchangers using multiobjective optimization , 2013 .

[16]  Ö. Altan Dombaycı,et al.  Optimization of insulation thickness for external walls using different energy-sources , 2004 .

[17]  Robin Smith,et al.  Cost optimum heat exchanger networks—2. targets and design for detailed capital cost models , 1990 .

[18]  Hélio Aparecido Navarro,et al.  A new approach for thermal performance calculation of cross-flow heat exchangers , 2005 .

[19]  M. S Söylemez.  On the optimum heat exchanger sizing for heat recovery , 2000 .

[20]  Özden Ağra,et al.  Determining the best type of heat exchangers for heat recovery , 2010 .

[21]  Si-ying Sun,et al.  Optimization in calculation of shell-tube heat exchanger , 1993 .

[22]  Amin Hadidi,et al.  A new design approach for shell-and-tube heat exchangers using imperialist competitive algorithm (ICA) from economic point of view , 2013 .

[23]  J. Marzbanrad,et al.  Thermodynamic Optimization of GSHPS Heat Exchangers , 2007 .