### Abstract

The optimum design of stationary flat-plate solar collectors is considered using the game theory approach for multiple objectives. 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 solution represents the best compromise in terms of the supercriterion selected. Because some design parameters such as solar constant, altitude, typical day of each month and most of the design variables are not precisely known, a probabilistic approach is also proposed in this work. The results obtained by the determinist and probabilistic approaches are compared. It is found that the absolute value of each objective function decreases with an increase in either the probability of constraint satisfaction or the coefficient of variation of the random variables. This work represents the first work aimed at the application of multi-objective optimization strategy, particularly the game theory approach, for the solution of the solar collector design problem.

Original language | English (US) |
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Title of host publication | Energy |

Publisher | American Society of Mechanical Engineers (ASME) |

Volume | 6B-2015 |

ISBN (Electronic) | 9780791857441 |

DOIs | |

State | Published - 2015 |

Event | ASME 2015 International Mechanical Engineering Congress and Exposition, IMECE 2015 - Houston, United States Duration: Nov 13 2015 → Nov 19 2015 |

### Other

Other | ASME 2015 International Mechanical Engineering Congress and Exposition, IMECE 2015 |
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Country | United States |

City | Houston |

Period | 11/13/15 → 11/19/15 |

### Fingerprint

### ASJC Scopus subject areas

- Mechanical Engineering

### Cite this

*Energy*(Vol. 6B-2015). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE201552082

**Optimization of stationary flat-plate solar collectors.** / Rao, Singiresu S.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Energy.*vol. 6B-2015, American Society of Mechanical Engineers (ASME), ASME 2015 International Mechanical Engineering Congress and Exposition, IMECE 2015, Houston, United States, 11/13/15. https://doi.org/10.1115/IMECE201552082

}

TY - GEN

T1 - Optimization of stationary flat-plate solar collectors

AU - Rao, Singiresu S

PY - 2015

Y1 - 2015

N2 - The optimum design of stationary flat-plate solar collectors is considered using the game theory approach for multiple objectives. 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 solution represents the best compromise in terms of the supercriterion selected. Because some design parameters such as solar constant, altitude, typical day of each month and most of the design variables are not precisely known, a probabilistic approach is also proposed in this work. The results obtained by the determinist and probabilistic approaches are compared. It is found that the absolute value of each objective function decreases with an increase in either the probability of constraint satisfaction or the coefficient of variation of the random variables. This work represents the first work aimed at the application of multi-objective optimization strategy, particularly the game theory approach, for the solution of the solar collector design problem.

AB - The optimum design of stationary flat-plate solar collectors is considered using the game theory approach for multiple objectives. 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 solution represents the best compromise in terms of the supercriterion selected. Because some design parameters such as solar constant, altitude, typical day of each month and most of the design variables are not precisely known, a probabilistic approach is also proposed in this work. The results obtained by the determinist and probabilistic approaches are compared. It is found that the absolute value of each objective function decreases with an increase in either the probability of constraint satisfaction or the coefficient of variation of the random variables. This work represents the first work aimed at the application of multi-objective optimization strategy, particularly the game theory approach, for the solution of the solar collector design problem.

UR - http://www.scopus.com/inward/record.url?scp=84982972148&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84982972148&partnerID=8YFLogxK

U2 - 10.1115/IMECE201552082

DO - 10.1115/IMECE201552082

M3 - Conference contribution

VL - 6B-2015

BT - Energy

PB - American Society of Mechanical Engineers (ASME)

ER -