Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanc...
Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model
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Basel: MDPI AG
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English
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Basel: MDPI AG
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The by-product gases generated during steel manufacturing processes, including blast furnace gas, coke oven gas, and Linz–Donawitz gas, exhibit considerable variability in composition and supply. Consequently, achieving stable combustion control of these gases is critical for improving boiler efficiency. This study developed the advanced boiler com...
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Full title
Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model
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TN_cdi_doaj_primary_oai_doaj_org_article_713160a2c6b64577b8b5c119f9fc9e0b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_713160a2c6b64577b8b5c119f9fc9e0b
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E-ISSN
1996-1073
DOI
10.3390/en18040820
