Abstract
A new systematic methodology for designing wastewater and heat exchange networks for process industries involving effluent streams containing multiple contaminants is proposed. A simultaneous optimization approach mathematically combines the problems of wastewater and heat exchanger network optimization into a single step. This process includes two global iterations of a similar two-stage approach and optimizes networks for water and heat exchange simultaneously based on cost estimation. The objective function is to minimize the total annual cost of the wastewater and heat exchange network design which is subject to the mass and energy balance constraints on all the pertinent flows and to constraints related to the concentrations of contaminants. The proposed method employs a strategy to address a mixed integer non-linear programming (MINLP) formulation. Cost estimates for optimized wastewater and heat exchange networks for an oil refinery process are generated, illustrating the effectiveness of the proposed methodology.
| Original language | English |
|---|---|
| Pages (from-to) | 162-171 |
| Number of pages | 10 |
| Journal | Journal of Cleaner Production |
| Volume | 17 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jan 2009 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Cost estimation
- Heat exchanger network
- Mass exchange network
- Mixed integer non-linear programming (MINLP)
- Wastewater minimization
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