Wind Energy - The Mathematical and Statistical Basis

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Renewable energy refers to energy resources that occur naturally and repeatedly in the environmental where it can be harnessed for human benefit that poses no major environmental problems. Wind power is one of leading ones among the new, renewable, clean and cheap resource. It describes the processes by which the wind is used to generate mechanical power or electricity by wind turbines which convert the kinetic energy in wind in to mechanical power. The total quality of this source is extremely large and various with time at any given location. Iraq is an oil country, but this does not prevent the possession of other inexhaustible resources such as solar, hydro and wind power. This book focused toward an wind energy, where the work was divided into four objectives namely; - Wind statistics: The statistical of wind data sets were analyzed using Weibull distribution functions. - Turbulence intensity: It is determine the performance and productivity of the wind turbines. - Wake effect: The effects of upstream on downstream wind turbine. - Financial analysis: Three methods have been used namely cost of energy, the ratio of the total returns, and the payback period.

Autorentext

Dr.Firas A.Hadi was born in Baghdad-Iraq. He studied at University of Baghdad where he completed two degrees: B.Sc. in Physics, M.Sc. in Image processing. He obtained his Ph.D. at Al-Nahrai University in 2015.He is a contributor to many journals and conferences. He was working Ministry of Science and Tech. and Now at AL_Karkh University of Science.

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Gewicht 334g
    • Untertitel First Edition
    • Autor Firas A. Hadi , Ayad A. Al-Ani , Mohammed A. Salih
    • Titel Wind Energy - The Mathematical and Statistical Basis
    • Veröffentlichung 02.11.2015
    • ISBN 3659696773
    • Format Kartonierter Einband
    • EAN 9783659696770
    • Jahr 2015
    • Größe H220mm x B150mm x T14mm
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 212
    • GTIN 09783659696770

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