Parameters affecting economic selection of cable sizes

1993 ◽  
Vol 8 (4) ◽  
pp. 1661-1667 ◽  
Author(s):  
G.J. Anders ◽  
M. Vainberg ◽  
D.J. Horrocks ◽  
S.M. Foty ◽  
J. Motlis ◽  
...  
2000 ◽  
Vol 11 (5) ◽  
pp. 369-381 ◽  
Author(s):  
M.A. Rahim ◽  
A.-B. Shaibu

2011 ◽  
Vol 347-353 ◽  
pp. 1973-1986 ◽  
Author(s):  
Umar Bawah ◽  
Khaled E Addoweesh ◽  
Ali M. Eltamaly

A generalized approach for the economic selection of wind turbine for a given wind regime is proposed in this paper. It draws from the literature and standards being used in the field to arrive at an economic site specific wind turbine based on minimizing the annual cost of energy produced (AEP) while tracking the initial capital cost (ICC) of investment required. It is meant to provide an initial study to guide decision makers who are contemplating using wind energy as a power source to generate electricity in commercial quantity for community usage. It is a general estimation approach which does not require surfing for manufacture prices and wind turbine parameters. The input data consists of site specific wind data, hub height, rotor diameter and turbine power rating. The output gives a range of plots of feasible wind turbine ratings, rotor diameters, rated speed against initial capital cost (ICC) and also cost of energy produced (COE).


Author(s):  
MIN-KOO LEE ◽  
SANG-BOO KIM ◽  
HYUCK-MOO KWON ◽  
SUNG HOON HONG

Consider a filling process where containers are filled with an important ingredient in a character. All containers are inspected, and the containers satisfying to meet the predetermined specification limits are sold in a regular market for a fixed price, and failing to meet them are emptied and refilled by the same filling process after some reprocessing. We assume that reprocessing cost is proportional to the quantity of the ingredients in a container that is not changed after reprocessing. An economic model is constructed on the basis of the selling price and the costs of production, inspection, reprocessing, and quality. We assume that the quality cost function is a quadratic function of the deviation from target and the quantity of the ingredients in a container is normally distributed with a known variance. Method for finding the optimum process mean is presented and a numerical example is given.


2002 ◽  
Vol 22 (10) ◽  
pp. 47-48 ◽  
Author(s):  
M.M. Abdel Aziz ◽  
E.E. Abou Elzahab ◽  
A.M. Ibrahim ◽  
A.F. Zobaa

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