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|Title:||A combined heuristic and indicator-based methodology for design of sustainable chemical process plants|
|Keywords:||Energy and water minimization|
|Citation:||Halim, I., Carvalho, A., Srinivasan, R., Matos, H.A., Gani, R. (2011-08-10). A combined heuristic and indicator-based methodology for design of sustainable chemical process plants. Computers and Chemical Engineering 35 (8) : 1343-1358. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2011.03.015|
|Abstract:||The current emphasis on sustainable production has prompted chemical plants to minimize raw material and energy usage without compromising on economics. While computer tools are available to assist in sustainability assessment, their applications are constrained to a specific domain of the design synthesis problem. This paper outlines a design synthesis strategy that integrates two computer methodologies - ENVOP. Expert and SustainPro - for simultaneous generation, analysis, evaluation, and optimization of sustainable process alternatives. ENVOP. Expert diagnoses waste sources, identifies alternatives, and highlights trade-offs between environmental and economic objectives. This is complemented by SustainPro which evaluates the alternatives and screens them in-depth through indicators for profit and energy, water, and raw material usage. This results in accurate identification of the root causes, comprehensive generation of design alternatives, and effective reduction of the optimization search space. The framework is illustrated using an acetone process and a methanol and dimethyl ether production case study. © 2011 Elsevier Ltd.|
|Source Title:||Computers and Chemical Engineering|
|Appears in Collections:||Staff Publications|
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