Scholarlink

<p>This study evaluates a fully open computational workflow for early environmental screening of vitrified bauxite residue (VBR), an SCM-related mineral waste. The workflow tests whether open tools and openly accessible data can provide transparent, reproducible, and screening-level environmental information at an early stage of assessment. The European Reference Life Cycle Database (ELCD 3.2) was imported into a Brightway environment via the openLCA IPC server while preserving unique identifiers (UUIDs), enabling stable foreground–background linkage and direct mapping of characterisation factors. Foreground unit processes were constructed in a Python-based framework, and assumptions, calculations, and model parameters were documented in open code to support reproducibility. The workflow was benchmarked against a published process-modelling assessment of VBR. The reproduced global warming potential was 0.497 kg CO<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(_2\)</EquationSource> </InlineEquation>-eq kg<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(^{-1}\)</EquationSource> </InlineEquation> VBR, compared with the reported industrial-scale process-modelling result of 0.472 kg CO<InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(_2\)</EquationSource> </InlineEquation>-eq kg<InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(^{-1}\)</EquationSource> </InlineEquation> VBR, corresponding to a deviation of approximately 5%. Sensitivity analysis showed that electricity-mix assumptions dominated climate-change results, with total GWP varying from approximately 0.19 to 0.81 kg CO<InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(_2\)</EquationSource> </InlineEquation>-eq kg<InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(^{-1}\)</EquationSource> </InlineEquation> VBR across low- and high-carbon electricity mixes, while furnace efficiency had a smaller influence. Larger discrepancies in selected non-climate impact categories reflected differences in background database structure, upstream coverage, database vintage, and elementary-flow representation rather than artefacts of UUID-preserved flow mapping. Overall, the close agreement in GWP with the published process-modelling benchmark indicates that the fully open workflow can provide reliable screening-level climate-change results for VBR, while broader interpretation of non-climate indicators requires further validation using updated and multiple background databases.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A fully open workflow for early environmental screening of vitrified bauxite residue

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月3日

查看全文
  • Juhyun Lee

摘要

This study evaluates a fully open computational workflow for early environmental screening of vitrified bauxite residue (VBR), an SCM-related mineral waste. The workflow tests whether open tools and openly accessible data can provide transparent, reproducible, and screening-level environmental information at an early stage of assessment. The European Reference Life Cycle Database (ELCD 3.2) was imported into a Brightway environment via the openLCA IPC server while preserving unique identifiers (UUIDs), enabling stable foreground–background linkage and direct mapping of characterisation factors. Foreground unit processes were constructed in a Python-based framework, and assumptions, calculations, and model parameters were documented in open code to support reproducibility. The workflow was benchmarked against a published process-modelling assessment of VBR. The reproduced global warming potential was 0.497 kg CO \(_2\) -eq kg \(^{-1}\) VBR, compared with the reported industrial-scale process-modelling result of 0.472 kg CO \(_2\) -eq kg \(^{-1}\) VBR, corresponding to a deviation of approximately 5%. Sensitivity analysis showed that electricity-mix assumptions dominated climate-change results, with total GWP varying from approximately 0.19 to 0.81 kg CO \(_2\) -eq kg \(^{-1}\) VBR across low- and high-carbon electricity mixes, while furnace efficiency had a smaller influence. Larger discrepancies in selected non-climate impact categories reflected differences in background database structure, upstream coverage, database vintage, and elementary-flow representation rather than artefacts of UUID-preserved flow mapping. Overall, the close agreement in GWP with the published process-modelling benchmark indicates that the fully open workflow can provide reliable screening-level climate-change results for VBR, while broader interpretation of non-climate indicators requires further validation using updated and multiple background databases.