Title: Evolutionary algorithm for reversed iterative optimisation method accuracy inspection applied for energetic and economic optimisation of a pulp and paper mill
Authors: Maryam Fani, Aliasghar Mozafari, Bijan Farhanieh
Addresses: School of Mechanical Engineering, Sharif University of Technology, P.O. Box 11365-9567, Tehran, Iran. ' School of Mechanical Engineering, Sharif University of Technology, P.O. Box 11365-9567, Tehran, Iran. ' School of Mechanical Engineering, Sharif University of Technology, P.O. Box 11365-9567, Tehran, Iran
Abstract: |Three-link-model| Exergoeconomic methodology optimises the design and operability of a system. Contrary to traditional iterative Exergoeconomic optimisation methods, a reversed method is used, since assumptions considered by Tsatsaronis for calculating cost-optimal Exergetic efficiency and relative cost difference, were not applicable, new assumptions have been adopted. In a case study applied to Mazandaran paper industry, iterative reversed optimisation results have been compared with evolutionary programming results. Replacement of Pressure Valve and Direct Cyclone Contact Evaporation is proposed, while by selection of the optimum decision variable, recoverable black liquor is increased by 7% and energy consumption is decreased by 12%.
Keywords: evolutionary programming; exergoeconomics; process systems; reversed iterative optimisation; pulp and paper mills; exergy; exergetic efficiency; energy consumption; pressure valve replacement; direct cyclone contact evaporation.
International Journal of Exergy, 2010 Vol.7 No.3, pp.311 - 332
Published online: 03 Mar 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article