TY - JOUR
TI - Exergo-ecological evaluation of heat exchanger
AU - Stanek Wojciech
AU - Czarnowska Lucyna
AU - Szczygiel Ireneusz
AU - Rojczyk Marek
JN - Thermal Science
PY - 2014
VL - 18
IS - 3
SP - 853
EP - 862
PT - Article
AB - Thermodynamic optimization of thermal devices requires information about the  influence of operational and structural parameters on its behaviour. The  interconnections among parameters can be estimated by tools such as CFD,  experimental statistic of the deviceetc. Despite precise and comprehensive  results obtained by CFD, the time of computations is relatively long. This  disadvantage often cannot be accepted in case of optimization as well as  online control of thermal devices. As opposed to CFD the neural network or  regression is characterized by short computational time, but does not take  into account any physical phenomena occurring in the considered process. The  CFD model of heat exchanger was built using commercial package Fluent/Ansys.  The empirical model of heat exchanger has been assessed by regression and  neural networks based on the set of pseudo-measurements generated by the  exact CFD model. In the paper, the usage of the developed empirical model of  heat exchanger for the minimisation of TEC is presented. The  optimisationconcerns operational parameters of heat exchanger. The TEC  expresses the cumulative exergy consumption of non-renewable resources. The  minimization of the TEC is based on the objective function formulated by  Szargut. However, the authors extended the classical TEC by the introduction  of the exergy bonus theory proposed by Valero. The TEC objective function  fulfils the rules of life cycle analysis because it contains the investment  expenditures (measured by the cumulative exergy consumption of non-renewable  natural resources), the operation of devices and the final effects of  decommissioning the installation.