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U-Net Semantic Segmentation-Based Calorific Value Estimation of Straw Multifuels for Combined Heat a...

U-Net Semantic Segmentation-Based Calorific Value Estimation of Straw Multifuels for Combined Heat a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b93c0cdcf564070a4326f12439337be

U-Net Semantic Segmentation-Based Calorific Value Estimation of Straw Multifuels for Combined Heat and Power Generation Processes

About this item

Full title

U-Net Semantic Segmentation-Based Calorific Value Estimation of Straw Multifuels for Combined Heat and Power Generation Processes

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2024-10, Vol.17 (20), p.5143

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This paper proposes a system for real-time estimation of the calorific value of mixed straw fuels based on an improved U-Net semantic segmentation model. This system aims to address the uncertainty in heat and power generation per unit time in combined heat and power generation (CHPG) systems caused by fluctuations in the calorific value of straw f...

Alternative Titles

Full title

U-Net Semantic Segmentation-Based Calorific Value Estimation of Straw Multifuels for Combined Heat and Power Generation Processes

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8b93c0cdcf564070a4326f12439337be

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b93c0cdcf564070a4326f12439337be

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en17205143

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