Investigation on the quantitative evaluation method of coal combustion situation in O2-CO2-N2 atmospheres based on dynamic artificial neural network-Reference-Cited by-同舟云学术

Investigation on the quantitative evaluation method of coal combustion situation in O₂-CO₂-N₂ atmospheres based on dynamic artificial neural network

Published:2023-05-10 Issue: Volume: Page:1-23
ISSN:1939-2699
Container-title:International Journal of Coal Preparation and Utilization
language:en
Short-container-title:International Journal of Coal Preparation and Utilization

Author:

Li Yunzhuo¹²,Su Hetao¹²^ORCID,Ji Huaijun¹²,Cheng Wuyi¹²,Fu Shigen³,Shi Jingdong¹²

Affiliation:

1. School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, China

2. Key Laboratory of Deep Geodrilling Technology, Ministry of Natural Resources, China University of Geosciences (Beijing), Beijing, China

3. Institute of Mine Safety Technology, China academy of safety science and technology, Beijing, China

Funder

Fundamental Research Funds for the Central Universities

111 Project

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19392699.2023.2210507

Reference46 articles.

1. A modified DAEM: To study the bioenergy potential of invasive Staghorn Sumac through pyrolysis, ANN, TGA, kinetic modeling, FTIR and GC–MS analysis

2. Combustion characteristics of Turkish lignites at oxygen-enriched and oxy-fuel combustion conditions

3. Environmental impacts associated with an abandoned mine in the Witbank Coalfield, South Africa

4. Artificial neural network approach for co-pyrolysis of Chlorella vulgaris and peanut shell binary mixtures using microalgae ash catalyst

5. Coal fire mapping from satellite thermal IR data – A case example in Jharia Coalfield, Jharkhand, India