Abstract

This paper presents the application of a systematic methodology to obtain a semi-physical model of phenomenological base for a 2 MW internal combustion engine to generate electric power operating with natural gas, as a function of the average thermodynamic value normally measured in industrial applications. Specifically, the application of the methodology is focused on the cylinders, exhaust manifold, and turbocharger turbine sections. The proposed model was validated with actual operating data, obtaining an error rate not exceeding 5%, which allow a thermal characterization of the Jenbacher JMS 612 GS-N based on the model. A parametric analysis is conducted; considering the volumetric efficiency, the output electric power, the effective efficiency, the exhaust gas temperature, the turbine mass flow, the specific fuel consumption under the nominal operation conditions, which is 1.16 bar in the gas pressure, 65 °C in the cooling water temperature, 35 °C in the average ambient temperature, and 1500 rpm. The results of this model can be used to evaluate the thermodynamic performance parameters of waste heat recovery systems. On the other hand, new control strategies and the implementation of state observers for the detection and diagnosis of failures can be developed based on the proposed model.

Highlights

  • The internal combustion engines (ICE) modeling is mainly based on thermodynamic models used to predict the properties and variables of interest that generally are difficult to measure [1]

  • The main contribution of this paper is to present the development of a detail PBSM of a natural gas 2 MW four-stroke internal combustion engine widely used in the industrial sector

  • The phenomenological model for chemical and industrial process has been extensively studied, the structure of the energy balance to predict the mechanical work in the cylinder used normally required the measure of the chamber pressure, which is not installed in the typical industrial gas engine to predict the heat transfer release in the four strokes of the internal combustion engine

Read more

Summary

Introduction

The internal combustion engines (ICE) modeling is mainly based on thermodynamic models used to predict the properties and variables of interest that generally are difficult to measure [1]. Being the first dependents of the latter, since, in the diagnostic models, the engine heat release rate is obtained [1], which is the main input of the predictive models [4] These types of models are usually used for the evaluation, design, and development of ICE, due to the high degree of detail considered in all the strokes, such as the description of the heat transfer release [7, 8] and [9], engine models of a varying range of accuracy and computational time can be employed depending on the required application [10, 11]. Concerning to the mean value engine model (MVEM), it is not necessary and is not desired a dependence of the thermodynamic variables associated to the four strokes presented in a normal power generation cycle of an ICE.

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call