Prediction of unburned carbon and NOx emissions of solid fuel using petrographic UBC index and artificial neural network-Reference-Cited by-同舟云学术

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Prediction of unburned carbon and NOx emissions of solid fuel using petrographic UBC index and artificial neural network

Published:2024-10 Issue: Volume:374 Page:132490
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Lee Ji-Hwan,Lee Dae-Gyun^ORCID,Kim Gyeong-Min^ORCID,Lee Byoung-Hwa,Jeon Chung-Hwan^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. The 10th Basic Plan for Electricity Supply and Demand (2022-2036). Ministry of Trade, Industry and Energy; 2023.

2. Scenario analysis of the GHG emissions in the electricity sector through 2030 in South Korea considering updated NDC;Jeong;Energies,2022

3. Feasibility trade-offs in decarbonising the power sector with high coal dependence: The case of Korea;Hyun;Renew Sustain Energy Trans,2023

4. Co-firing characteristics and fuel-N transformation of ammonia/pulverized coal binary fuel;Chen;Fuel,2023

5. Experimental study on co-firing characteristics of ammonia with pulverized coal in a staged combustion drop tube furnace;Tan;Proc Combust Inst,2023

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