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Multicriteria assessment of pre-treatment and material handling systems for improved recycling of ladle slag in electric steelmaking

電気製鋼におけるラドルスラグのリサイクル改善のための前処理および材料ハンドリングシステムの多基準評価 (AI 翻訳)

Matteo Lugano, Damiana Chinese, Marina Campolo, Marco Fulgosi

Results in Engineering📚 査読済 / ジャーナル2025-05-19#Scope 3経営インパクト: コスト削減対象セクター: steel
DOI: 10.1016/j.rineng.2025.105403
原典: https://doi.org/10.1016/j.rineng.2025.105403

🤖 gxceed AI 要約

日本語

電気炉製鋼で発生するラドルスラグのリサイクル改善を目的に、前処理システムの統合を評価。3つの代替案をファジィAHPで比較し、最も複雑な構成が最適と判明。年間80-120tCO2eqの排出削減が見込まれる。

English

This study evaluates pre-treatment systems for recycling ladle slag in electric steelmaking using fuzzy AHP. The most complex configuration balances environmental and economic performance, achieving 80-120 tCO2eq/year savings while increasing costs and energy demand.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本の鉄鋼業はカーボンニュートラル目標を掲げており、スラグリサイクルは資源循環と排出削減の両面で重要。SSBJ開示ではScope3排出量の算定が求められ、本研究成果は実務に示唆を与える。

In the global GX context

This paper contributes to global steel decarbonization by quantifying trade-offs in slag recycling, relevant for ISSB-aligned Scope 3 reporting and circular economy strategies in the steel sector.

👥 読者別の含意

🔬研究者:MCDA手法とScope3算定の統合事例として参考になる。

🏢実務担当者:スラグ前処理設備の投資判断に役立つコスト・排出量データを提供。

🏛政策担当者:鉄鋼業の循環経済政策立案に定量的根拠を提供。

📄 Abstract(原文)

Ladle Slag (LS) is a by-product of electric steelmaking that can be recycled internally in the electric arc furnace (EAF) to partially replace quicklime as a flux. However, LS cooled at ambient conditions becomes dusty and unstable, which limits the industrial uptake of this practice. A novel fast cooling approach was recently proposed to improve LS properties, but the literature does not provide information on its viability on an industrial scale. This paper fills this gap by investigating the integration of such LS pre-treatment system into a real EAF plant recycling LS. The costs and benefits of three alternative pre-treatment and handling solutions are assessed against the baseline system without pre-treatment, using a fuzzy AHP MCDA model. The introduction of pre-treatment systems is estimated to increase annual equivalent costs by a factor of 2 to 5 and primary energy demand by a factor of approximately 4 to 7. The estimated reduction in dust emissions is in the order of 600 to 900 t/year. Considering the avoided Scope 3 emissions for quicklime production due to improved recycling, the additional carbon equivalent emissions from increased fuel and electricity consumption are offset in most configurations and savings in the order of 80-120 tCO2eq/year are estimated. The selection of material handling systems has a remarkable impact on performance. The MCDA approach identifies the most complex configuration, including a casing and automatic conveyors, as the best compromise considering environmental and economic performance as well as qualitative criteria such as occupational safety and workplace conditions.

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