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...

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Bibliographic Details
Published in:Journal of Environmental Informatics
Main Authors: Jing, L., Chen, B., Zhang, B. Y., Li, P.
Other Authors: Chen, B (reprint author), Mem Univ Newfoundland, Fac Engn & Appl Sci, Northern Reg Persistent Organ Pollut Control NRPO, St John, NF A1B 3X5, Canada.; Chen, B (reprint author), Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China., Mem Univ Newfoundland, Fac Engn & Appl Sci, Northern Reg Persistent Organ Pollut Control NRPO, St John, NF A1B 3X5, Canada., Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China., Chen, B (reprint author), Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China.
Format: Journal/Newspaper
Language:English
Published: JOURNAL OF ENVIRONMENTAL INFORMATICS 2016
Subjects:
system planning
process control
marine wastewater treatment
uncertainties
FUZZY RELATION ANALYSIS
UV-IRRADIATION
UNCERTAINTY
MODEL
RISK
Canada
Newfoundland
Online Access:https://hdl.handle.net/20.500.11897/458171
https://doi.org/10.3808/jei.201600355
Description
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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