[HTML][HTML] Advanced modeling approaches for CFD simulations of coal combustion and gasification

C Hasse, P Debiagi, X Wen, K Hildebrandt… - Progress in Energy and …, 2021 - Elsevier
Coal is the most abundant fossil fuel and is widely used as an energy source for combustion
and gasification. Both experimental methods and computational tools are required for the …

Theory-guided Deep Neural Network for boiler 3-D NOx concentration distribution prediction

Z Tang, M Sui, X Wang, W Xue, Y Yang, Z Wang… - Energy, 2024 - Elsevier
Timely and accurate three-dimensional (3-D) NOx concentration distribution prediction is
essential for achieving low-emission and efficient operation in power plants. This study …

Multi-factor numerical simulation study on spray dust suppression device in coal mining process

C Xu, W Nie, Z Liu, H Peng, S Yang, Q Liu - Energy, 2019 - Elsevier
In order to treat serious dust pollution problems in a fully mechanized mining face,
computational fluid dynamics (CFD) was here used for numerical simulation. The …

Towards cleaner energy: an innovative model to minimize NOx emissions in chemical loo** and CO2 capture technologies

J Krzywanski, T Czakiert, W Nowak, T Shimizu… - Energy, 2024 - Elsevier
The urgent global challenges of climate change and environmental issues have catalyzed
the development of CO 2-capture-ready technologies incorporating fluidization, such as …

CFD modeling of hydrodynamics, combustion and NOx emission in a tangentially fired pulverized-coal boiler at low load operating conditions

J Chang, X Wang, Z Zhou, H Chen, Y Niu - Advanced Powder Technology, 2021 - Elsevier
With deep peak-load regulations, utility boilers are frequently operated under variable/low
load conditions. However, their hydrodynamics, combustion and NOx emission …

A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling

JF Tuttle, LD Blackburn, K Andersson, KM Powell - Applied Energy, 2021 - Elsevier
Ten established, data-driven dynamic algorithms are surveyed and a practical guide for
understanding these methods generated. Existing Python programming packages for …

[HTML][HTML] Recent advances in high-fidelity simulations of pulverized coal combustion

R Cai, K Luo, H Watanabe, R Kurose, J Fan - Advanced Powder …, 2020 - Elsevier
Although renewable energy has recently attracted a lot of attention, coal-fired power plants
will still play an important role in electricity production in the future due to coal's abundance …

Fast prediction of temperature and chemical species distributions in pulverized coal boiler using POD reduced-order modeling for CFD

X Chen, W Zhong, T Li - Energy, 2023 - Elsevier
This study aims to develop a fast prediction method of 3D temperature and chemical species
distributions in pulverized coal boilers for real-time combustion monitoring and optimization …

Atikokan Digital Twin: Machine learning in a biomass energy system

JP Spinti, PJ Smith, ST Smith - Applied Energy, 2022 - Elsevier
Abstract The Atikokan Generating Station, operated by Ontario Power Generation, has a 200
MW, biomass-fired tower boiler that operates on a dispatch schedule with a five-minute …

Sustainable NOx emission reduction at a coal-fired power station through the use of online neural network modeling and particle swarm optimization

JF Tuttle, R Vesel, S Alagarsamy, LD Blackburn… - Control Engineering …, 2019 - Elsevier
Meeting increasingly stringent environmental targets while conforming to new operational
demands of load-ram** and low-load operation presents a challenge for coal-fired …