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AuthorKazi M.-K.
AuthorEljack F.
AuthorAmanullah M.
AuthorAlNouss A.
AuthorKazantzi V.
Available date2020-03-03T06:19:33Z
Publication Date2018
Publication NameComputers and Chemical Engineering
ResourceScopus
ISSN981354
URIhttp://dx.doi.org/10.1016/j.compchemeng.2018.06.011
URIhttp://hdl.handle.net/10576/13168
AbstractFlare management challenges are related to the flaring uncertainty during abnormal situations. In this work, a multi-objective optimization framework is upgraded with multi-period optimization and Monte Carlo simulation to incorporate the risk associated with uncertain flare events. An ethylene plant is used to present the developed framework. Using the ethylene process historical flaring data, Monte Carlo simulation generates probabilistic values for flaring events and event duration. Here, cogeneration unit (COGEN) is considered as the flare reduction alternative. The results of the formulations are presented as a set of Pareto fronts providing insights into the competing techno-economic and environmental objectives. Sensitivity analysis on the factors for the case suggests that some factors such as CO2 tax savings are severely affected by minor variations in flaring profiles, whereas others such as the fixed and operating costs are less sensitive. Hence, using this approach, the decision maker gains techno-economic-environmental insights regarding the flare reduction alternative (COGEN).
SponsorThis paper was made possible by NPRP grant No 5-351-2-136 from the Qatar National Research Fund (a member of Qatar Foundation ). The statements made herein are solely the responsibility of the author[s]. The author thanks Ahmed Mhd Nabil AlNouss and Fahd Mohammed for their contribution through managing the historical database and for providing access to the GHG calculator.
Languageen
PublisherElsevier Ltd
SubjectAbnormal situation management (ASM)
Design under uncertainty
Flare utilization
Greenhouse gas emissions
Industrial flaring
Monte Carlo simulation
Multi-objective optimization
TitleA process design approach to manage the uncertainty of industrial flaring during abnormal operations
TypeArticle
Pagination191 - 208
Volume Number117
dc.accessType Abstract Only


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