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 |