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Pairing between Sites and Wind Turbines for Saudi Arabia Sites

  • Research Article - Electrical Engineering
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Abstract

This paper introduces an accurate procedure to choose the best site from many sites and suitable wind turbines for these sites depending on the minimum price of kWh generated. In this paper, a new proposed computer program has been introduced to perform all the optimization required to determine the size of the wind energy system for pairing between sites and wind turbines. Cost calculation method of energy has been introduced to determine the price of kWh generated from wind energy system. The data for five sites in Saudi Arabia and hundred wind turbines have been used as input data for the proposed computer program. These sites are Yanbo, Dhahran, Dhulom, Riyadh, and Qaisumah. This program is built in a generic form which allows it to be used with unlimited number of sites and wind turbines in all over the world. The salient results from this study are: Dhahran is the best site and the suitable wind turbine for this site is KMW-ERNO with 5.85 Cents/kWh, and the worst site to install wind energy system is Riyadh with minimum price of 12.81 Cents/kWh in case of using GE Energy 2 wind turbine.

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Abbreviations

WT:

Wind turbine

WES:

Wind energy system

ANWT:

Average number of WT

U c :

Cut-in wind speed

U r :

Rated wind speed

U f :

Cut-off wind speed

U av :

Mean wind speed m/s

P r :

Rated power of WT

K :

Shape parameter

c :

Scale parameter

C F :

Capacity factor

F(u i ):

Cumulative density function at wind speed u i

P avg :

Average output power from WT

P Lav :

Average required load

ρ:

Air density kg/m3

A t :

Cross sectional area of wind parcel, m2

C p :

Coefficient of performance of WT

η m,η g :

The efficiency of the mechanical and electrical systems, respectively

η o :

Overall efficiency of WT

P e :

Hourly output power from WES

P L :

Hourly load power

P T :

Hourly power transmitted to electric utility

P f :

Hourly power supplied from electric utility

NPV:

The net present value

FC:

Future cost

RPV:

Relevant present values

r :

Discount rate

i :

General inflation rate

NPVs :

Savings version of net present value

CRF:

The capital recovery factor

ECF:

Energy cost figure

NPVC :

The cost version of net present value

N :

The period of loan, years

L :

The lifetime of system, years

f OM :

The annual operation and maintenance cost fraction (of system capital cost)

C c :

The total cost of constructing the facility normalized by rated power $/kW

P d :

Down payment on system costs

P a :

Annual payment on system costs

Y :

Is a function used to obtain the present value of a series of payment

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Authors and Affiliations

  1. Sustainable Energy Technologies Center, King Saud University, P.O. Box 800, 11421, Riyadh, Saudi Arabia

    Ali M. Eltamaly

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  1. Ali M. Eltamaly
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Correspondence to Ali M. Eltamaly.

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Eltamaly, A.M. Pairing between Sites and Wind Turbines for Saudi Arabia Sites. Arab J Sci Eng 39, 6225–6233 (2014). https://doi.org/10.1007/s13369-014-1161-0

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  • DOI: https://doi.org/10.1007/s13369-014-1161-0

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