Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
MACHINE LEARNING APROACH TO SIMULATE A COAL-FIRED STEAM GENERATOR: STUDY CASE OF PECEM
Submission Author:
Natalia de Assis Brasil Weber , RS
Co-Authors:
Natalia de Assis Brasil Weber, Jonathan Armstrong, Paulo Smith Schneider
Presenter: Natalia de Assis Brasil Weber
doi://10.26678/ABCM.COBEM2019.COB2019-0221
Abstract
Machine learning techniques such as Artificial Neural Networks ANN are gaining traction due to their ability in modelling complex systems. This paper brings the development of an ANN in Python to estimate the steam generation of a real thermoelectric power plant, based on a year-long dataset. A proposed method was used to develop a robust ANN. Then, an analysis of the performance parameters MAE and RMSE showed that the model is capable of simulate the steam mass flow rate of the steam generator of the PECEM power plant with precision.
Keywords
Artificial neural networks, machine learning, Steam Generator, Thermoelectric power plant operation modelling
