Multi-Disciplinary Design Optimization for Large-Scale Reverse Osmosis Systems
Author(s)
Sharqawy, Mostafa H.; Yu, Bo Yang; Honda, Tomonori; Zubair, Syed M.; Yang, Maria C.
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Large-scale desalination plants are complex systems with many inter-disciplinary interactions and different levels of subsystem hierarchy. Advanced complex systems design tools have been shown to have a positive impact on design in aerospace and automotive, but have generally not been used in the design of water systems. This work presents a multi-disciplinary design optimization approach to desalination system design to minimize the total water production cost of a 30,000m3/day capacity reverse osmosis plant situated in the Middle East, with a focus on comparing monolithic with distributed optimization architectures. A hierarchical multi-disciplinary model is constructed to capture the entire system's functional components and subsystem interactions. Three different multi-disciplinary design optimization (MDO) architectures are then compared to find the optimal plant design that minimizes total water cost. The architectures include the monolithic architecture multidisciplinary feasible (MDF), individual disciplinary feasible (IDF) and the distributed architecture analytical target cascading (ATC). The results demonstrate that an MDF architecture was the most efficient for finding the optimal design, while a distributed MDO approach such as analytical target cascading is also a suitable approach for optimal design of desalination plants, but optimization performance may depend on initial conditions.
Date issued
2014-08Department
Massachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Institute for Data, Systems, and SocietyJournal
Volume 2A: 40th Design Automation Conference
Publisher
ASME International
Citation
Yu, Bo Yang, Tomonori Honda, Syed Zubair, Mostafa H. Sharqawy, and Maria C. Yang. “Multi-Disciplinary Design Optimization for Large-Scale Reverse Osmosis Systems.” Volume 2A: 40th Design Automation Conference (August 17, 2014).
Version: Final published version
ISBN
978-0-7918-4631-5