An Integrated System Planning and Process Control System for Marine Wastewater Management

Authors

  • Liang Jing NRPOP Lab Memorial University of Newfoundland
  • Bing Chen NRPOP Lab Memorial University of Newfoundland
  • Baiyu Zhang NRPOP Lab Memorial University of Newfoundland
  • Pu Li NRPOP Lab Memorial University of Newfoundland

Abstract

An ideal combination of both system planning and process control can greatly reduce system cost and maximize economic and environmental benefits associated with marine oily wastewater treatment. If appropriate process control is not implemented during the system planning procedure, there might be potential benefits lost because traditional planning tends to be more conservative and less risk-taking. However, such integration is oftentimes complicated by many factors such as multi-scale nature of decisions, the lack of knowledge of process dynamics and control, and various types of uncertainties. How to more accurately couple process control with system planning has been a major roadblock in the wide application of the marine oily wastewater treatment systems. To date, there has been no such attempt made to investigate the feasibility and efficacy of coupling system planning and process control on marine oily wastewater treatment. This research therefore aims at demonstrating the possible integration of process control with traditional system planning by using neural networks, genetic algorithm, multistage principle, and Monte Carlo simulation. A case study that is related to offshore water use and wastewater treatment is carried out to demonstrate the efficacy of the proposed approach.

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Published

2014-08-26

Issue

Proceedings of the International Conference on Marine and Freshwater Environments (iMFE 2014) - Our Water, Our Future

Section

Water Management in Harsh and Arctic Environments (WMH)

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