Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cherd.2008.02.015
Title: Designing sustainable alternatives for batch operations using an intelligent simulation-optimization framework
Authors: Halima, I.
Srinivasan, R. 
Keywords: Batch process
Multi-objective decision making
Process synthesis
Simulated annealing
Simulation-optimization
Sustainable development
Issue Date: Jul-2008
Source: Halima, I., Srinivasan, R. (2008-07). Designing sustainable alternatives for batch operations using an intelligent simulation-optimization framework. Chemical Engineering Research and Design 86 (7) : 809-822. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cherd.2008.02.015
Abstract: The drive towards sustainability has compelled the batch process industries to implement the concept of environmentally friendly plants. However, the temporal nature of processing in these processes obviates the application of traditional waste minimization, material recycling, or energy integration schemes. Further, most of the existing methodologies for generating sustainable alternatives are restricted to specific problems, such as reaction byproduct, wastewater, or solvent minimization. In this paper, we propose an intelligent simulation-optimization framework for identifying comprehensive sustainable alternatives for batch processes. We differentiate between wastes generated by the reaction-separation process and cleaning wastes. AP-graph-based approach is used for identifying the root cause of process waste generation and generating broad design alternatives. Specific variable-level design solutions are then identified and evaluated using process simulation. The cleaning wastes resulting from the optimized process are also minimized using a source-sink allocation method that allows design of recycle network structure. A multi-objective stochastic optimization method is used to integrate the analysis so that the overall process economic and environmental footprint is optimized. We illustrate the proposed methodology using a well-known literature case study involving reaction, distillation and washing operation. © 2008 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Source Title: Chemical Engineering Research and Design
URI: http://scholarbank.nus.edu.sg/handle/10635/74546
ISSN: 02638762
DOI: 10.1016/j.cherd.2008.02.015
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