Statistical Distribution Analysis Implementation Using PROLOG and MATLAB for Wind Energy | Chapter 02 | Theory and Applications of Mathematical Science Vol. 2

This paper analyses wind speed characteristics and wind power potential of Naganur site using statistical probability parameters. A measured 10-minute time series average wind speed over a period of 4 years (2006- 2009) was obtained from Site. The results of mean wind speed data is the first step of prediction of wind speed data of the site under consideration and a PROLOG program was designed and developed to calculate the Annual mean wind speed data of the site and to assess the wind power potentials, MATLAB programming is used. The Weibull two parameters (k and c) were computed in the analysis of wind speed data. The data used were real time site data and calculated by using the MATLAB programming to determine and generate the Weibull and Rayleigh distribution functions. The monthly values of k range from 2.21 to 8.64 and the values of c ranged from 2.28 to 6.80. The most probable wind speed and corresponding maximum energy are in the range of 2.45 to 6.52 and 3.10 to 6.26 respectively. The Weibull and Rayleigh distributions also revealed estimated wind power densities ranging between 7.30 W/m2 to 116.51 W/m2 and 9.71 W/m2 to 266.00 W/m2 respectively at 10 m height for the location under study. This paper is relevant to a decision-making process on significant investment in a wind power project and use of PROLOG programming to calculate the Annual mean wind speed data of the site.

Author(s) Details

Dr. K. Mahesh
Department of Electrical and Electronics Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, India.

J. Lithesh
Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, India.

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Semiconductor Device Simulation with MATLABTM | Chapter 10 | Advances in Applied Science and Technology Vol. 6

The purpose of this project is to develop a functional semiconductor device simulator that is modular in nature in order to allow for flexibility during programming and to allow for future development with relative ease. In addition, the program’s main goal is to provide a tool that can supplement device modeling and the standard course material covered in a basic college level introduction, semiconductor device physics, course or and numerical analysis course and to construct basic PN semiconductor devices which can be studied using standard numerical analysis techniques. A device modeling program is developed using the basic MATLAB tools necessary to understand the operation of the program and allow future developments as necessary. MATLAB’s capability and inherent nature of handling matrices and matrix operations makes this approach an excellent technique to develop numerical analysis algorithms.

The program solution will be used to examine device parameters such as carrier statistics, device potential, and internal electric fields. The device solution is compared to analytical approximations in order to further strengthen the understanding between theory and exact numerical solutions and how those solutions are obtained.

Author(s) Details

Dr. Hamid Fardi
Department of Electrical Engineering, University of Colorado Denver, United States of America.

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