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A genetic algorithm approach for wind energy resource assessment at Gabal Alzayt wind farm in Egypt / (Record no. 80614)

MARC details
000 -LEADER
fixed length control field 02773cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210411s2020 ua db f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.13.M.Sc.2020.Mo.G
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Moaz Abdelmotaleb Aly Mostafa
245 12 - TITLE STATEMENT
Title A genetic algorithm approach for wind energy resource assessment at Gabal Alzayt wind farm in Egypt /
Statement of responsibility, etc. Moaz Abdelmotaleb Aly Mostafa ; Supervised Sayed Mohamed Metwalli , Mohamed Lotfi Shaltout
246 15 - VARYING FORM OF TITLE
Title proper/short title تقدير موارد طاقة الرياح بمزرعة رياح جبل الزيت بمصر باستخدام منهج خوارزمى جيني
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Moaz Abdelmotaleb Aly Mostafa ,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 92 P. :
Other physical details charts , maps ;
Dimensions 25cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production
520 ## - SUMMARY, ETC.
Summary, etc. The potential of wind energy as a sustainable and clean alternative to fossil fuels for power generation has attracted extensive attention in the last few decades. Wind speed distribution is one of the most significant parameters in the estimation of wind energy potential, design of wind farms, and selection of suitable wind turbines. The best distribution that describes the wind speed variation is the Weibull probabilistic distribution function.The two parameters of the Weibull probabilistic distribution function are widely used for assessment and prediction of wind energy resources. In the present study, seven different methods have been employed to obtain the parameters of the Weibull distribution function.The comparison between the employed methods is based on the use of the root mean square error (RMSE) and the correlation coefficient (R²) of the estimated data as compared to the field data. In this study, a genetic algorithm approach is also presented to minimize the estimation error in the parameters of the Weibull probabilistic distribution function. The real data at Gabal Al Zayt, collected through the period May 2018 to April 2019, is used to obtain the parameters of the Weibull probabilistic distribution function. Using the obtained parameters, the best wind turbine is selected according to the capacity factor. As a result, accurate planning decisions can be made during the development of current and new wind energy projects
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Weibull distribution function
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Wind energy assessment in Egypt
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Wind turbines
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohamed Lotfi Shaltout ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sayed Mohamed Metwalli ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.13.M.Sc.2020.Mo.G 01010110083223000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.13.M.Sc.2020.Mo.G 01020110083223000 22.09.2023 CD - Rom 83223.CD