Estudio del proceso de valorización energética de los residuos sólidos urbanos en una planta de incineración.

[ES]El objetivo de este Trabajo Fin de Grado consiste en estudiar el proceso desarrollado en la planta de incineración de residuos sólidos urbanos de Zabalgarbi (Bizkaia). La planta consiste en un ciclo combinado basado en una turbina de gas de 43 MW y una turbina de vapor de 56,5 MW. La importancia de su diseño recae en la adaptación de la tecnología de ciclo combinado de gas a la tecnología propia de una planta de valorización energética de residuos municipales. Es decir, se trata de un diseño innovador, del que surge un nuevo proceso industrial que permite dar solución a la problemática generada por los residuos producidos a la vez que se genera energía eléctrica. Gracias a este diseño, se consigue una mejora cualitativa y cuantitativa del rendimiento de la planta, ya que se obtiene energía eléctrica en dos etapas, además de un mejor aprovechamiento de los recursos. La tecnología utilizada para la incineración es el horno-caldera de parrilla deslizante. En este trabajo se analizarán los procesos integrados en la planta y se realizará el estudio energético de los equipos más significativos. Una vez realizada esta parte, se considerarán ciertas mejoras a incorporar en la instalación. Además, se desarrollará la metodología seguida para la realización del estudio así como la planificación y el presupuesto.

Monte Carlo Valuation of natural gas investments

This paper deals with the valuation of energy assets related to natural gas. In particular, we evaluate a baseload Natural Gas Combined Cycle (NGCC) power plant and an ancillary instalation, namely a Liquefied Natural Gas (LNG) facility, in a realistic setting; specifically, these investments enjoy a long useful life but require some non-negligible time to build. Then we focus on the valuation of several investment options again in a realistic setting. These include the option to invest in the power plant when there is uncertainty concerning the initial outlay, or the option's time to maturity, or the cost of CO2 emission permits, or when there is a chance to double the plant size in the future. Our model comprises three sources of risk. We consider uncertain gas prices with regard to both the current level and the long-run equilibrium level; the current electricity price is also uncertain. They all are assumed to show mean reversion. The two-factor model for natural gas price is calibrated using data from NYMEX NG futures contracts. Also, we calibrate the one-factor model for electricity price using data from the Spanish wholesale electricity market, respectively. Then we use the estimated parameter values alongside actual physical parameters from a case study to value natural gas plants. Finally, the calibrated parameters are also used in a Monte Carlo simulation framework to evaluate several American-type options to invest in these energy assets. We accomplish this by following the least squares MC approach.

An Optical Fiber Bundle Sensor for Tip Clearance and Tip Timing Measurements in a Turbine Rig

When it comes to measuring blade-tip clearance or blade-tip timing in turbines, reflective intensity-modulated optical fiber sensors overcome several traditional limitations of capacitive, inductive or discharging probe sensors. This paper presents the signals and results corresponding to the third stage of a multistage turbine rig, obtained from a transonic wind-tunnel test. The probe is based on a trifurcated bundle of optical fibers that is mounted on the turbine casing. To eliminate the influence of light source intensity variations and blade surface reflectivity, the sensing principle is based on the quotient of the voltages obtained from the two receiving bundle legs. A discrepancy lower than 3% with respect to a commercial sensor was observed in tip clearance measurements. Regarding tip timing measurements, the travel wave spectrum was obtained, which provides the average vibration amplitude for all blades at a particular nodal diameter. With this approach, both blade-tip timing and tip clearance measurements can be carried out simultaneously. The results obtained on the test turbine rig demonstrate the suitability and reliability of the type of sensor used, and suggest the possibility of performing these measurements in real turbines under real working conditions.

Sliding Mode Control Strategy for Wind Turbine Power Maximization

The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, a sliding mode control for variable speed wind turbine that incorporates a doubly fed induction generator is described. The electrical system incorporates a wound rotor induction machine with back-to-back three phase power converter bridges between its rotor and the grid. In the presented design the so-called vector control theory is applied, in order to simplify the electrical equations. The proposed control scheme uses stator flux-oriented vector control for the rotor side converter bridge control and grid voltage vector control for the grid side converter bridge control. The stability analysis of the proposed sliding mode controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory. Finally simulated results show, on the one hand, that the proposed controller provides high-performance dynamic characteristics, and on the other hand, that this scheme is robust with respect to the uncertainties that usually appear in the real systems.

Robust speed control for a variable speed wind turbine

Modern wind turbines are designed in order to work in variable speed opera-tions. To perform this task, these turbines are provided with adjustable speed generators, like the double feed induction generator (DFIG). One of the main advantages of adjustable speed generators is improving the system efficiency compared with _xed speed generators, because turbine speed can be adjusted as a function of wind speed in order to maximize the output power. However, this system requires a suitable speed controller in order to track the optimal reference speed of the wind turbine. In this work, a sliding mode control for variable speed wind turbines is proposed. The proposed design also uses the vector oriented control theory in order to simplify the DFIG dynamical equations. The stability analysis of the proposed controller has been carried out under wind variations and pa-rameter uncertainties using the Lyapunov stability theory. Finally, the simulated results show on the one hand that the proposed controller provides a high-performance dynamic behavior, and on the other hand that this scheme is robust with respect to parameter uncertainties and wind speed variations, which usually appear in real systems.

Adaptive variable structure control law for a variable speed wind turbine

Presentado en el 13th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS'11

Sliding mode control law for a variable speedwind turbine

Modern wind turbines are designed in order to work in variable speed operations. To perform this task, wind turbines are provided with adjustable speed generators, like the double feed induction generator. One of the main advantage of adjustable speed generators is improving the system efficiency compared to fixed speed generators, because turbine speed can be adjusted as a function of wind speed in order to maximize the output power. However this system requires a suitable speed controller in order to track the optimal reference speed of the wind turbine. In this work, a sliding mode control for variable speed wind turbines is proposed. An integral sliding surface is used, because the integral term avoids the use of the acceleration signal, which reduces the high frequency components in the sliding variable. The proposed design also uses the vector oriented control theory in order to simplify the generator dynamical equations. The stability analysis of the proposed controller has been carried out under wind variations and parameter uncertainties by using the Lyapunov stability theory. Finally simulated results show, on the one hand that the proposed controller provides a high-performance dynamic behavior, and on the other hand that this scheme is robust with respect to parameter uncertainties and wind speed variations, that usually appear in real systems.

An adaptive sliding mode control law for the power maximization of the wind turbine system

POWERENG 2011

Simulación y automatización del sistema de aceite de una turbina de gas en un almacenamiento de gas natural.

73 p. : il., col.

Households WTP for the Reliability of Gas Supply

26 p.

Cogeneración con gas natural en una empresa de tratamientos térmicos

[ES]Diseño de una instalación de cogeneración basada en un motor de combustible gas natural para una empresa de tratamientos térmicos y superficiales. Para satisfacer las necesidades energéticas de la planta, la potencia eléctrica la suministrará un alternador conectado al motor y, a su vez, la entalpía de los humos de escape del motor se aprovechará para la producción de vapor de agua, necesario para la actividad industrial de la empresa. Por otro lado, el calor que es necesario disipar de dicho motor se recuperará para el calentamiento de agua de red, con la finalidad de limpiar la taladrina de las piezas tratadas.

Turbomáquinas térmicas: 1. Turbomáquinas térmicas. 2. Estudio y diseño de turbinas de gas. 3. Problemas

Contenido: - Instalaciones de turbina de gas. - Análisis de los procesos termodinámicos. - Conceptos básicos para el análisis de turbinas de gas: a) Instalación de turbina de gas. b) Turbina como máquina térmica. - Análisis mediante el software Turgas.