Deep Learning Models for SO2 Distribution in a 30 MW Boiler via Computational Fluid Dynamics Simulation Data
Author:
Affiliation:
1. School of Automation Engineering, Northeast Electric Power University, Jilin132012, China
2. Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo135-0064, Japan
Funder
Jilin Science and Technology Project
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c03468
Reference35 articles.
1. Investigation on high temperature corrosion of water-cooled wall tubes at a 300 MW boiler
2. High-temperature corrosion of water-wall tubes in oxy-combustion atmosphere
3. Numerical study of pulverized coal-fired utility boiler over a wide range of operating conditions for in-furnace SO2/NOx reduction
4. Numerical simulation and experimental analysis on nitrogen and sulfur oxides emissions during the co-combustion of Longyan anthracite and sawmill sludge
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