Numerical optimization of domestic hot water systems based on global cost

0Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

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 technical 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 variations in the pipe diameters (commercial). Copyright © 2013 by ASME.

References Powered by Scopus

Optimization of capacity and operation for CCHP system by genetic algorithm

441Citations
N/AReaders
Get full text

Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme

293Citations
N/AReaders
Get full text

Thermal analysis and performance optimization of a solar hot water plant with economic evaluation

60Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Faria, L. P. P., Huebner, R., Pereira, E. M. D., & Corgozinho, I. M. (2013). Numerical optimization of domestic hot water systems based on global cost. Journal of Solar Energy Engineering, Transactions of the ASME, 135(3). https://doi.org/10.1115/1.4023967

Readers' Seniority

Tooltip

Professor / Associate Prof. 7

44%

PhD / Post grad / Masters / Doc 6

38%

Researcher 3

19%

Readers' Discipline

Tooltip

Engineering 13

87%

Environmental Science 1

7%

Psychology 1

7%

Save time finding and organizing research with Mendeley

Sign up for free