Optimisation of heat exchanger network cleaning schedules: Incorporating uncertainty in fouling and cleaning model parameters
العنوان: | Optimisation of heat exchanger network cleaning schedules: Incorporating uncertainty in fouling and cleaning model parameters |
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المؤلفون: | Min Woo Lee, D. Ian Wilson, Vassilios S. Vassiliadis, Riham Al Ismaili |
المصدر: | Computers & Chemical Engineering. 121:409-421 |
بيانات النشر: | Elsevier BV, 2019. |
سنة النشر: | 2019 |
مصطلحات موضوعية: | Schedule, Fouling, business.industry, Computer science, 020209 energy, General Chemical Engineering, 02 engineering and technology, Optimal control, Refinery, Computer Science Applications, Scheduling (computing), 020401 chemical engineering, Heat exchanger, 0202 electrical engineering, electronic engineering, information engineering, Train, 0204 chemical engineering, Process engineering, business, Parametric statistics |
الوصف: | The optimisation of the cleaning schedule in heat exchanger networks (HENs) subject to fouling is presented in which the impact of parametric uncertainty is considered. This work is based on the realisation that these HEN cleaning scheduling problems are multistage mixed-integer optimal control problems (MIOCPs) in which the controls, i.e. cleaning actions, exhibit bang-bang behaviour as they occur linearly in the system equations. A multiple scenario feasible path MIOCP approach is proposed, whereby many scenarios of the HEN multiperiod problems are stacked, sharing the same control actions. This is implemented on a 10 unit and a 25 unit HEN case studies representing crude oil refinery preheat trains (PHTs). Results show that there is a large difference in financial performance for the deterministic case versus the parametric uncertainty problem and hence it is vital that uncertainty be taken into account during the optimisation of schedules for HEN maintenance problems. |
تدمد: | 0098-1354 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::5497ed467da2c2a9d4fbb3e144fe3237 https://doi.org/10.1016/j.compchemeng.2018.11.009 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi...........5497ed467da2c2a9d4fbb3e144fe3237 |
قاعدة البيانات: | OpenAIRE |
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