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Hierarchical decomposition and optimization of thermal transformer performances
An optimization under constraints of heat transformer systems is presented. The hierarchical decomposition and endoreversibility principle are integrated to avoid the great number of variables in the analyzed optimization problem. The analysis method is applied on a solar absorption refrigerator in...
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Published in: | Structural and multidisciplinary optimization 2010-09, Vol.42 (3), p.437-448 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | An optimization under constraints of heat transformer systems is presented. The hierarchical decomposition and endoreversibility principle are integrated to avoid the great number of variables in the analyzed optimization problem. The analysis method is applied on a solar absorption refrigerator in the purpose to define the optimum design parameters. The decomposition levels of an equivalent model are defined. The equation system governing the behavior of the chosen model is established using Lagrange method for optimization under constraints. These constraints are defined according to thermodynamic laws. The couplings between the optimal functional and conceptual parameters are defined. The temperature and pinch distributions through heat exchangers are determined. The performance limits of an endoreversible cycle are defined for different values of the cooling load. The contribution of the different component heat transfer areas and the times of transfer are deducted according to technical an economic analysis. |
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ISSN: | 1615-147X 1615-1488 |
DOI: | 10.1007/s00158-010-0505-y |