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    Dealing with Uncertainties Arising from Environmental Conscious Multi-Objective Optimization

    Access Status
    Fulltext not available
    Authors
    Yao, Hong Mei
    Tade, Moses
    Mohammed, Feisal Ali
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Yao, H.M. and Tade, M. and Mohammed, F.A. 2012. Dealing with Uncertainties Arising from Environmental Conscious Multi-Objective Optimization, in Bogle, I. and Fairweather, M. (ed), 22nd European Symposium on Computer Aided Process Engineering, Jun 17-20 2012, pp. 1-5. London: Elsevier BV.
    Source Title
    Proceedings of the 22nd European Symposium on Computer Aided Process Engineering
    Source Conference
    22nd European Symposium on Computer Aided Process Engineering
    Additional URLs
    http://booksite.elsevier.com/9780444594310/papers.php
    ISBN
    9780444594563
    School
    Department of Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/29772
    Collection
    • Curtin Research Publications
    Abstract

    Process optimisation has been at the core of design and retrofit of process industries. Traditional process design focuses on plant operations to minimise costs or maximise profits using performance indicators of conversion, yields, efficiency, and productivity. With dwindling resources coupled with environmental degradation, environmental objectives started to be incorporated into the optimisation, through strategies such as waste minimisation and pollution prevention. While environmental conscious design has benefited from life cycle assessment in finding the environmental burdens of a process, it generates a multi-objective optimisation problem with many variables and constraints. Mathematical programming provides a solution in the form of Pareto front, though to find a compromised solution remains a difficult task. Furthermore, the incorporation of environmental indicators brings in a considerable number of uncertainty sources that exacerbate the difficulties of optimization. These reflect both on economic costs and environmental conditions. In this paper, the progress and framework of incorporating LCA results with process design and optimisation is given followed by a discussion of barriers, with the emphases on uncertainty issue. A case study on enhanced oil recovery from a reservoir using CO2 is carried out to highlight the effect of uncertainties in one of the external index to the optimisation results.

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