Determining dominant wind directions

Shokri Z. Selim; A. H. Al-Rabeh

doi:10.1016/0377-2217(95)00087-9

Determining dominant wind directions

Shokri Z. Selim^*
, A. H. Al-Rabeh

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this paper we address the problem of selecting a set of wind directions that could represent the wind regime at a location. This problem is cast in the form of a non-convex mathematical program. Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. A case study which involves the construction of a transition probability matrix for the wind at a location is presented.

Original language	English
Pages (from-to)	420-426
Number of pages	7
Journal	European Journal of Operational Research
Volume	90
Issue number	3
DOIs	https://doi.org/10.1016/0377-2217(95)00087-9
State	Published - 10 May 1996

Bibliographical note

Funding Information:
We thank the King Fahd University of Petroleum and Minerals Research Institute (KFUPMRI), the Metroiogy and Environmental Protection Agency (MEPA) for support of this research effort under KFUPMRI Contract No. 24137, and the Saudi Arabian American Oil Company (SAUDI ARAMCO) for providing the wind data for the case study. The referees' comments and suggestions are very much appreciated.

Keywords

Location-allocation
Modelling
Nonlinear programming

ASJC Scopus subject areas

General Computer Science
Modeling and Simulation
Management Science and Operations Research
Information Systems and Management

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10.1016/0377-2217(95)00087-9

Cite this

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title = "Determining dominant wind directions",

abstract = "In this paper we address the problem of selecting a set of wind directions that could represent the wind regime at a location. This problem is cast in the form of a non-convex mathematical program. Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. A case study which involves the construction of a transition probability matrix for the wind at a location is presented.",

keywords = "Location-allocation, Modelling, Nonlinear programming",

author = "Selim, \{Shokri Z.\} and Al-Rabeh, \{A. H.\}",

note = "Funding Information: We thank the King Fahd University of Petroleum and Minerals Research Institute (KFUPMRI), the Metroiogy and Environmental Protection Agency (MEPA) for support of this research effort under KFUPMRI Contract No. 24137, and the Saudi Arabian American Oil Company (SAUDI ARAMCO) for providing the wind data for the case study. The referees' comments and suggestions are very much appreciated.",

year = "1996",

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doi = "10.1016/0377-2217(95)00087-9",

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AU - Selim, Shokri Z.

AU - Al-Rabeh, A. H.

N1 - Funding Information: We thank the King Fahd University of Petroleum and Minerals Research Institute (KFUPMRI), the Metroiogy and Environmental Protection Agency (MEPA) for support of this research effort under KFUPMRI Contract No. 24137, and the Saudi Arabian American Oil Company (SAUDI ARAMCO) for providing the wind data for the case study. The referees' comments and suggestions are very much appreciated.

PY - 1996/5/10

Y1 - 1996/5/10

N2 - In this paper we address the problem of selecting a set of wind directions that could represent the wind regime at a location. This problem is cast in the form of a non-convex mathematical program. Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. A case study which involves the construction of a transition probability matrix for the wind at a location is presented.

AB - In this paper we address the problem of selecting a set of wind directions that could represent the wind regime at a location. This problem is cast in the form of a non-convex mathematical program. Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. A case study which involves the construction of a transition probability matrix for the wind at a location is presented.

KW - Location-allocation

KW - Modelling

KW - Nonlinear programming

UR - https://www.scopus.com/pages/publications/0030143604

U2 - 10.1016/0377-2217(95)00087-9

DO - 10.1016/0377-2217(95)00087-9

M3 - Article

AN - SCOPUS:0030143604

SN - 0377-2217

VL - 90

SP - 420

EP - 426

JO - European Journal of Operational Research

JF - European Journal of Operational Research

IS - 3

ER -

Determining dominant wind directions

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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