Numerical Optimization of Domestic Hot Water Systems Based on Global Cost
Author(s) -
Lucas Paglioni Pataro Faria,
Rudolf Huebner,
Elizabeth Marques Duarte Pereira,
Ivan Magela Corgozinho
Publication year - 2013
Publication title -
journal of solar energy engineering
Language(s) - English
Resource type - Journals
eISSN - 1528-8986
pISSN - 0199-6231
DOI - 10.1115/1.4023967
Subject(s) - scope (computer science) , sustainability , convergence (economics) , genetic algorithm , population , work (physics) , mathematical optimization , conjugate gradient method , computer science , engineering , mechanical engineering , economics , mathematics , ecology , demography , sociology , biology , programming language , economic growth
The scope of this work is motivated by the large number of solar heaters recently installed by the government in joint housing developments for the low-income population in Brazil, the techni-cal challenges inherent in deploying domestic hot water systems, and innovative new models of sustainability technology being developed in Brazil. Computational algorithms were developed to establish the criteria for optimization, such as minimizing the required recycling, the energy consumption in pumping, and the diameter of the pipes in the secondary circuit of the distribution network. The numerical method adopted, the conjugate gradient method combined with a genetic algorithm, has exhibited a very satisfactory degree of convergence, even though high-oscillation amplitudes were observed, which are attributed to slight varia-tions in the pipe diameters (commercial). [DOI: 10.1115/1.4023967
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