Bottleneck of slab thermal efficiency in reheating furnace based on energy apportionment model

To reveal distribution of slab thermal efficiency (STE) and its bottlenecks, a slab region thermal efficiency (SRTE) model and an STE model were established based on the energy apportionment model of a reheating furnace in this paper. The bottleneck index of the slab thermal efficiency (BISTE), whic...

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Veröffentlicht in:Energy (Oxford) 2018-05, Vol.150, p.1058-1069
Hauptverfasser: Chen, Demin, Lu, Biao, Dai, FangQin, Chen, Guang, Zhang, Xihe
Format: Artikel
Sprache:eng
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Zusammenfassung:To reveal distribution of slab thermal efficiency (STE) and its bottlenecks, a slab region thermal efficiency (SRTE) model and an STE model were established based on the energy apportionment model of a reheating furnace in this paper. The bottleneck index of the slab thermal efficiency (BISTE), which could be used to assess the influence of SRTE on STE in a particular region, was proposed. First, the regional energy balance equation was listed based on reheating furnace region division. Next, the SRTE and STE models were established. Second, the bottleneck of slab thermal efficiency (BSTE) was achieved through a partial correlation analysis (PCA) of billet samples, which were obtained according to the difference between billet loading temperature and its residence time in the reheating furnace. Next, the BISTE was advanced to accurately determine the BSTE. Finally, several suggestions or measures, that could improve SRTE, were proposed. The case study has demonstrated the validation of these models, and the BISTE was 42% (Preheating), 19% (Heating II), 18% (Soaking), 11% (Heating I) and 10% (Preheating & Heating), respectively. Therefore, the preheating zone is the key region used to improve STE. •Slab region thermal efficiency and slab thermal efficiency model are established.•Bottleneck index of slab thermal efficiency is also put forward.•Some measures for improving slab thermal efficiency are proposed.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2018.02.149