The multi-objective optimum design of stationary flat-plate solar collectors under probabilistic uncertainty is considered. The clear day solar beam radiation and diffuse radiation at the location of the solar collector are estimated. Three objectives are considered in the optimization problem formulation: maximization of the annual average incident solar energy, maximization of the lowest month incident solar energy, and minimization of the cost. The game theory methodology is used for the solution of the three objective constrained optimization problem. A parametric study is conducted with respect to changes in the standard deviation of the mean values of random variables and probability of constraint satisfaction. The present study is expected to help designers in creating optimized solar collectors based on specified requirements.
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September 2010
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Multi-Objective Optimal Design of Stationary Flat-Plate Solar Collectors Under Probabilistic Uncertainty
Singiresu S. Rao,
Singiresu S. Rao
Professor
Department of Mechanical and Aerospace Engineering,
e-mail: srao@miami.edu
University of Miami
, 1251 Memorial Drive, Coral Gables, FL 33124-0624
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Yi Hu
Yi Hu
Graduate Student
Department of Mechanical and Aerospace Engineering,
e-mail: yi.hu@miami.edu
University of Miami
, 1251 Memorial Drive, Coral Gables, FL 33124-0624
Search for other works by this author on:
Singiresu S. Rao
Professor
Department of Mechanical and Aerospace Engineering,
University of Miami
, 1251 Memorial Drive, Coral Gables, FL 33124-0624e-mail: srao@miami.edu
Yi Hu
Graduate Student
Department of Mechanical and Aerospace Engineering,
University of Miami
, 1251 Memorial Drive, Coral Gables, FL 33124-0624e-mail: yi.hu@miami.edu
J. Mech. Des. Sep 2010, 132(9): 094501 (6 pages)
Published Online: September 3, 2010
Article history
Received:
April 5, 2010
Revised:
June 8, 2010
Online:
September 3, 2010
Published:
September 3, 2010
Citation
Rao, S. S., and Hu, Y. (September 3, 2010). "Multi-Objective Optimal Design of Stationary Flat-Plate Solar Collectors Under Probabilistic Uncertainty." ASME. J. Mech. Des. September 2010; 132(9): 094501. https://doi.org/10.1115/1.4002133
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