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Green process design, industrial ecology, and sustainability: A systems analysis perspective

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  • Diwekar, Urmila

Abstract

This paper presents a systems analysis perspective that extends the traditional process design framework to green process design and industrial ecology leading to sustainability. For green process design this involves starting the design decisions as early as chemical and material selection stage on one end, and managing and planning decisions at the other end. However, uncertainties and multiple and conflicting objectives are inherent in such a design process. Uncertainties increase further in industrial ecology. Combining AI approaches with optimization methods, and constraining the system using thermodynamics and physics can provide a way to address this problem. The concept of overall sustainability goes beyond industrial ecology and brings in time dependent nature of the ecosystem and multi-disciplinary decision making. Optimal control methods and theories from financial literature can be useful in handling the time dependent uncertainties in this problem.

Suggested Citation

  • Diwekar, Urmila, 2005. "Green process design, industrial ecology, and sustainability: A systems analysis perspective," Resources, Conservation & Recycling, Elsevier, vol. 44(3), pages 215-235.
    • Handle: RePEc:eee:recore:v:44:y:2005:i:3:p:215-235
    DOI: 10.1016/j.resconrec.2005.01.007
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    References listed on IDEAS

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    1. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    2. Robert Ayres, 1995. "Thermodynamics and process analysis for future economic scenarios," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 6(3), pages 207-230, October.
    3. John Ehrenfeld & Nicholas Gertler, 1997. "Industrial Ecology in Practice: The Evolution of Interdependence at Kalundborg," Journal of Industrial Ecology, Yale University, vol. 1(1), pages 67-79, January.
    4. Yan Fu & Urmila Diwekar, 2004. "An Efficient Sampling Approach to Multiobjective Optimization," Annals of Operations Research, Springer, vol. 132(1), pages 109-134, November.
    5. Dennis Chang & David T. Allen, 1997. "Minimizing Chlorine Use: Assessing the Trade‐offs Between Cost and Chlorine Reduction in Chemical Manufacturing," Journal of Industrial Ecology, Yale University, vol. 1(2), pages 111-134, April.
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