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 language | English (US) |
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Pages (from-to) | 481-489 |
Number of pages | 9 |
Journal | Journal of Mechanical Design, Transactions of the ASME |
Volume | 102 |
Issue number | 3 |
DOIs | |
State | Published - Jul 1980 |
Externally published | Yes |
ASJC Scopus subject areas
- Mechanics of Materials
- Mechanical Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design