An Integrated Simulation-based Process Control and Operation Planning (IS-PCOP) System for Marine Oily Wastewater Management
An ideal combination of process control and operation planning can reduce system cost and maximize economic and environmental benefits. This research proposed an integrated simulation-based process control and operation planning (IS-PCOP) system by using neural networks, genetic algorithm, multistag...
Published in: | Journal of Environmental Informatics |
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Main Authors: | , , , |
Other Authors: | , , , |
Format: | Journal/Newspaper |
Language: | English |
Published: |
JOURNAL OF ENVIRONMENTAL INFORMATICS
2016
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Subjects: | |
Online Access: | https://hdl.handle.net/20.500.11897/458171 https://doi.org/10.3808/jei.201600355 |
Summary: | An ideal combination of process control and operation planning can reduce system cost and maximize economic and environmental benefits. This research proposed an integrated simulation-based process control and operation planning (IS-PCOP) system by using neural networks, genetic algorithm, multistage principle, and Monte Carlo simulation. It could well link process control and operation planning by simultaneously adopting different time-scales in computation. The hourly process control strategy forwarded the results to the operation planning module where long-term arrangements could be further evaluated. The use of ANN modeling also played a key role in predicting the nonlinear behavior of complex processes. In addition, Monte Carlo simulation yielded a better insight on uncertainties, which may arise from a number of different sources. A case study on marine wastewater management was carried out to demonstrate the efficacy of the proposed approach. Six different treatment standards (i.e., 5, 10, 15, 20, 25, and 30 jig were examined over a 20-day period and the 20 jig standard appeared to be the most economic option with a mean net cost of $18 per day. As compared to the traditional operation planning without process control, the integrated approach achieved more economically competitive results. By addressing the uncertainties and expressing the results in probability distributions, the decision makers would have more confidence in making decisions on both short- and long-term operations. It was concluded that the combination of process control and operation planning could help meet the economic objectives and ensure timely completion of the tasks. Natural Sciences and Engineering Research Council of Canada (NSERC); Research & Development Corporation of Newfoundland and Labrador (RDC NL); Canada Foundation for Innovation (CFI) SCI(E) ARTICLE bchen@mun.ca 2,SI 126-134 28 |
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