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) |
|---|---|
| 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 - 1980 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - Application of extremal distributions in the design of thermal systems
AU - Rao, Singiresu S
AU - Gupta, B. D.
PY - 1980
Y1 - 1980
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0019043935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0019043935&partnerID=8YFLogxK
U2 - 10.1115/1.3254772
DO - 10.1115/1.3254772
M3 - Article
AN - SCOPUS:0019043935
VL - 102
SP - 481
EP - 489
JO - Journal of Mechanical Design - Transactions of the ASME
JF - Journal of Mechanical Design - Transactions of the ASME
SN - 1050-0472
IS - 3
ER -