Machine learning regression algorithms to predict emissions from steam boilers

BD Ross-Veitía, D Palma-Ramírez, R Arias-Gilart… - Heliyon, 2024 - cell.com
Currently, the modeling of complex chemical-physical processes is drastically influencing
industrial development. Therefore, the analysis and study of the combustion process of the …

Modeling Prediction of Sulfur Dioxide (SO2), Nitrogen Oxides (NOX) Emissions and Particulate from Coal-Fired Power Plant Using Machine Learning

RYL Gaol, M Atok - Jurnal Teknobisnis, 2023 - journal.its.ac.id
Coal-fired power plants remain a crucial source of electricity in meeting national energy
demands, despite the environmental challenges posed by the emissions generated during …

An emission predictive system for CO and NOx from gas turbine based on ensemble machine learning approach

N Pachauri - Fuel, 2024 - Elsevier
The gas turbine in a combined cyclic power plant (CCPP) produces harmful gases like
carbon monoxide (CO) and nitrogen oxide (NOx) into the atmosphere. It is evident to monitor …

[PDF][PDF] Development of artificial neural network (ANN) based prediction model for NOx emissions from utility boilers

KS Madhavan, TK Reddy, J Krishnaiah… - Proceedings of the …, 2012 - researchgate.net
NOx emissions are measured in the effluent gas from utility boilers. These emissions are
controlled by a variety of different features during combustion or post combustion. Firstly all …

Predicting CO and NOx Emissions from a Gas Turbine Using Machine Learning Techniques

MRB Shahadat, MS Murillo, F Jaberi - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-0387. vid CO and NOx are emitted
from various sources among which gas turbine power plants play a significant role. CO and …

A study on nitrogen oxide emission prediction in Taichung thermal power plant using artificial intelligence (AI) model

JL Liou, KC Liao, HT Wen, HY Wu - International Journal of Hydrogen …, 2024 - Elsevier
In recent studies, artificial intelligence models have been developed for the prediction of
nitrogen oxide emissions from thermal power plants. This research utilizes an artificial …

Prediction of CO–NOx Emissions from a Natural Gas Power Plant Using Proper Machine Learning Models

W Wu, YT Lin, PH Liao, M Aziz, PC Kuo - Energy Technology, 2023 - Wiley Online Library
Four machine learning (ML) models including a deep neural network, a long short‐term
memory network, a random forest (RF), and an extreme gradient boosting are implemented …

Optimizing combustion of coal fired boilers for reducing NOx emission using Gaussian Process

C Wang, Y Liu, S Zheng, A Jiang - Energy, 2018 - Elsevier
Since the mechanism of boiler combustion is extremely complicated and difficult to apply to
model and optimize the combustion process directly, data-driven models attract increasingly …

Development of a predictive emissions monitoring system using hybrid models with industrial data

ASA Neto, AR Secchi, BDO Capron, A Rocha… - Computer Aided …, 2022 - Elsevier
In this paper we present a study for the development of a predictive emission monitoring
system (PEMS) through hybrid modeling. The system was built by coupling a …

Modeling and optimization of NOx emission from a 660 MW coal-fired boiler based on the deep learning algorithm

Y Wang, R Xie, W Liu, G Yang, X Li - Journal of Chemical …, 2021 - jstage.jst.go.jp
With the increasingly strict environmental protection policies, restrictions on NOx emissions
are becoming increasingly stringent. This paper focuses on modeling and optimizing NOx …