Application of extremal distributions in the design of thermal systems

Singiresu S Rao, B. D. Gupta

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Three types of extreme value distributions are fitted to Hie maximum daily temperature and solar radiation. Ft is found that type III distribution for the largest value fits the data most closely. A methodology using the maximum yearly temperature data and extremal distributions is developed for tlie optimum design of refrigerated warehouses. The use of the concept of return period in the optimum design of thermal systems is also suggested. The interior penalty function method with Davidon-Fletcher-Powella method of unconstrained minimization is used as the Optimization technique for solving the problems. A sensitivity analysis is conducted about the optimum design point to find the influence of changes in various design parameters on the cooling load and total cost.

Original languageEnglish (US)
Pages (from-to)481-489
Number of pages9
JournalJournal of Mechanical Design, Transactions Of the ASME
Volume102
Issue number3
DOIs
StatePublished - 1980
Externally publishedYes

Fingerprint

Warehouses
Solar radiation
Sensitivity analysis
Cooling
Temperature
Optimum design
Hot Temperature
Costs

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Cite this

Application of extremal distributions in the design of thermal systems. / Rao, Singiresu S; Gupta, B. D.

In: Journal of Mechanical Design, Transactions Of the ASME, Vol. 102, No. 3, 1980, p. 481-489.

Research output: Contribution to journalArticle

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