Optimal Multiscale Capacity Planning in Seawater Desalination Systems
| Autor: | Mahmoud M. El-Halwagi, Hassan Baaqeel |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Optimization problem
Computer science 020209 energy membrane distillation Bioengineering Time horizon 02 engineering and technology lcsh:Chemical technology Desalination Nonlinear programming lcsh:Chemistry desalination Capacity planning 020401 chemical engineering multi-effect distillation Process integration 0202 electrical engineering electronic engineering information engineering Chemical Engineering (miscellaneous) lcsh:TP1-1185 process integration scheduling 0204 chemical engineering Process engineering business.industry Process Chemistry and Technology Modular design lcsh:QD1-999 Multiple-effect distillation business optimization |
| Zdroj: | Processes Volume 6 Issue 6 Processes, Vol 6, Iss 6, p 68 (2018) |
| ISSN: | 2227-9717 |
| DOI: | 10.3390/pr6060068 |
| Popis: | The increasing demands for water and the dwindling resources of fresh water create a critical need for continually enhancing desalination capacities. This poses a challenge in distressed desalination network, with incessant water demand growth as the conventional approach of undertaking large expansion projects can lead to low utilization and, hence, low capital productivity. In addition to the option of retrofitting existing desalination units or installing additional grassroots units, there is an opportunity to include emerging modular desalination technologies. This paper develops the optimization framework for the capacity planning in distressed desalination networks considering the integration of conventional plants and emerging modular technologies, such as membrane distillation (MD), as a viable option for capacity expansion. The developed framework addresses the multiscale nature of the synthesis problem, as unit-specific decision variables are subject to optimization, as well as the multiperiod capacity planning of the system. A superstructure representation and optimization formulation are introduced to simultaneously optimize the staging and sizing of desalination units, as well as design and operating variables in the desalination network over a planning horizon. Additionally, a special case for multiperiod capacity planning in multiple effect distillation (MED) desalination systems is presented. An optimization approach is proposed to solve the mixed-integer nonlinear programming (MINLP) optimization problem, starting with the construction of a project-window interval, pre-optimization screening, modeling of screened configurations, intra-process design variables optimization, and finally, multiperiod flowsheet synthesis. A case study is solved to illustrate the usefulness of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|