Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization-Reference-Cited by-同舟云学术

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Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization

Published:2024-10 Issue: Volume:306 Page:132477
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Li Zhenghui,Yao Shunchun^ORCID,Chen Da,Li Longqian,Lu Zhimin,Liu Wen,Yu Zhuliang

Publisher

Elsevier BV

Reference55 articles.

1. CFD simulation of MSW combustion and SNCR in a commercial incinerator;Xia;Waste Manag,2014

2. Effect of low-nitrogen combustion system with flue gas circulation technology on the performance of NOx emission in waste-to-energy power plant;Zhang;Chem. Eng. Process. Process Intensif.,2022

3. Numerical simulation on operating parameters of SNCR process in a municipal solid waste incinerator;Hu;Fuel,2019

4. Anticipatory NH3 injection control for SCR system based on the prediction of the inlet NOx concentration;Liu;J Energy Inst,2021

5. Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: plant data learned by deep neural network and least square support vector machine;Adams;J Clean Prod,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Approach for Predicting CO2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short-Term Memory Model;Energies;2024-09-01

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