Meet the editors

Igor Loboda received his MS and PhD degrees in Aircraft Engine Engineering from the Kharkov Aviation Institute (Ukraine) in 1979 and 1994, respectively. He was an investigator, lecturer, and assistant professor at the Kharkov Aviation Institute from 1992 to 2001. Since 2001 he has been an assistant professor and investigator at the National Polytechnic Institute of Mexico. His research interests are in the areas of simulation and condition

monitoring of gas turbines and the common theory of pattern recognition. Particular issues of interest are gas turbine thermodynamic models (static and dynamic), model identification, analysis of real data (gas path variables), fault identification techniques, and neural network application to gas path diagnostics.

Professor Sergiy Yepifanov is a Professor (2003) and a Doctor of Sc., Eng. (2001) and the Head of the Aircraft Engine Design Department of the National Aerospace University "Kharkiv Aviation Institute" (Ukraine). He is an Honored Worker of Science of Ukraine. He has supervised 10 PhD dissertations. He is the co-author of 7 monographs and textbooks, as well as 33 scientific articles in indexed journals (SCOPUS) and more than

300 other publications. He is the chief organizer of the Engine Engineering Congress (every year since 1996). He is the lead lecturer of the education disciplines "Construction of Aircraft Engines", "Dynamics and Strength of Aircraft Engines", "Automatic Control Systems of Aircraft Engines", "Diagnostics of Aircraft Engines", "On-ground Application of Aircraft Turbine Engines", "Cooling Systems and Thermal Strength of Aircraft Turbine Engines", and "Life-time Designing of Aircraft Turbine Engines". His research interests are in the areas of turbine engine simulation, automatic control, and health management. He supervised and participated in creation of onboard and on-ground engine diagnosing systems of several aircrafts and engines that were developed in Ukraine and Russia.

Contents

**Section 1**

*by Igor Loboda*

of Gas Capacities

**Section 3**

*and Maha Khanfara*

Turbine Engine Starting Simulation *by Sergiy Yepifanov and Feliks Sirenko*

*by Sergiy Yepifanov and Roman Zelenskyi*

*by Cristhian Maravilla and Sergiy Yepifanov*

Based on a Doubly Fed Induction Generator

*by Imane Idrissi, Houcine Chafouk, Rachid El Bachtiri*

**Section 2**

**Preface III**

Introduction **1**

**Chapter 1 3**

Gas Turbines **11**

**Chapter 2 13**

**Chapter 3 31**

**Chapter 4 59**

Wind Turbines **77**

**Chapter 5 79**

Introductory Chapter: Gas and Wind Turbines and Their Models

Gas Turbine Simulation Taking into Account Dynamics

Parameters in an Engine Lifetime Monitoring System

A New Approach for Model Developing to Estimate Unmeasured

Modeling and Simulation of the Variable Speed Wind Turbine

## Contents


Preface

This book is devoted to the issue of modeling and simulation of turbomachines, namely gas turbines and wind turbines. Gas turbines are the main engines for power generation and transportation, and wind turbines present an increasingly growing sector of renewable energy production. The design of these complex machines and,

The book consists of three sections that include five chapters. Section 1 consists of the introductory chapter (Chapter 1), which introduces the area of modeling of gas and wind turbines and explains the demand for further model development.

Section 2 unites three chapters that offer particular improvements in gas turbine modeling. A novel methodology for the modeling of engine starting is presented in Chapter 2. Chapter 3 performs a thorough theoretical comparative analysis of models for the simulation of gas capacities between engine components, and offers practical recommendations on model applications, in particular for engine control purposes. In Chapter 4, the reader interested in gas turbine diagnostics can find the answer to how to compute important unmeasured parameters. Multiple algorithms for calculating these parameters are proposed and compared. The best algorithms

In section 3, the field of wind turbine modeling is presented in Chapter 5. It introduces a general-purpose model that describes both aerodynamic and electric parts of a wind power plant. Such a detailed physics-based model helps with the development of more accurate control and diagnostic systems that will result in

In this way, the book includes four new studies in the area of gas and wind turbine modeling. These studies are interesting and useful for specialists in turbine engine

**Igor Loboda**

México

Ciudad de México,

**Sergiy Yepifanov**

Kharkiv, Ukraine

Instituto Politécnico Nacional,

National Aerospace University – Kharkiv Aviation Institute,

in particular, the development of control and diagnostic systems rely on

mathematical modeling.

allow accurate prognostics of engine lifetime.

more effective electricity production.

control and diagnostics.
