Quantitative methodology for strategic assessment of the sustainability of bauxite residue management

Decisions on sustainable technologies are surrounded by high degrees of uncertainty and absence of agreed indicators and metrics. The alumina industry therefore supported the development of a quantitative methodology for strategic assessment of the sustainability of bauxite residue management. It co...

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Veröffentlicht in:Clean technologies and environmental policy 2008-11, Vol.10 (4), p.359-370
Hauptverfasser: Van Berkel, Rene, Power, Greg, Cooling, David
Format: Artikel
Sprache:eng
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Zusammenfassung:Decisions on sustainable technologies are surrounded by high degrees of uncertainty and absence of agreed indicators and metrics. The alumina industry therefore supported the development of a quantitative methodology for strategic assessment of the sustainability of bauxite residue management. It combines a strategic outlook with quantitative, outcome-based assessment. The methodology compares current practice with ideal values, derived from sustainability aspirations. The indicator system combines management indicators (for planning, management and reporting systems); condition indicators (state of environment and communities surrounding residue operations); and operational indicators (technical and economic performance). They have three hierarchical levels: headline performance indicators (6, measuring sustainability objectives); key performance indicators (24, measuring sustainability impacts) and performance measures (flexible set, measuring operational contributions). Performance is measured on a five-level ordinal scale. The methodology was successfully piloted at an operating plant. This confirmed that the methodology complemented existing audit protocols and strategic planning processes. The unique advantages are the universal performance measuring system for environmental, social and economic outcomes, and the strategic orientation towards improvement and innovation in residue technology. This development demonstrates that even with imperfect knowledge and uncertainty, quantified sustainability tools can be developed that aid in decision making on technology development and implementation.
ISSN:1618-954X
1618-9558
DOI:10.1007/s10098-008-0155-6