Title |
Simultaneous optimisation of heat and power integration of evaporation-crystallisation systems: a case study of distiller waste from Solvay process |
ID_Doc |
7969 |
Authors |
Ibric, N; Ahmetovic, E; Kravanja, Z |
Title |
Simultaneous optimisation of heat and power integration of evaporation-crystallisation systems: a case study of distiller waste from Solvay process |
Year |
2021 |
Published |
Optimization And Engineering, 22, 3 |
DOI |
10.1007/s11081-021-09641-z |
Abstract |
This paper addresses the synthesis of combined evaporation-crystallisation systems for the recovery of valuable materials from waste in line with sustainable development and circular economy concepts. The primary focus of this work is the utilisation of distiller waste from the Solvay process, which comprises sodium chloride (NaCl), calcium chloride (CaCl2) and water (H2O). The superstructure optimisation of a heat and power integrated evaporation-crystallisation system is performed by solving the proposed Mixed-Integer Nonlinear Programming (MINLP) model. The superstructure extends our recent research to include the partial crystallisation of NaCl and the production of concentrated CaCl2 solution. To address the considered case study, a thermodynamic model for multi-component electrolytic systems is developed. A three-step solution strategy is proposed to circumvent a problem with nonlinearities and to solve the overall MINLP model. The optimal design of a heat-integrated evaporation-crystallisation system with mechanical vapour compression is presented and the main conclusions are highlighted. |
Author Keywords |
Simultaneous optimisation; Evaporation processes; Heat and power integration; Distiller waste |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000653021600001 |
WoS Category |
Engineering, Multidisciplinary; Operations Research & Management Science; Mathematics, Interdisciplinary Applications |
Research Area |
Engineering; Operations Research & Management Science; Mathematics |
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