A refrigerated gas plant (RGP) faces operational challenges on three fronts namely: 1) at the plant inlet, fluctuations in flow rate and composition caused by multiple feed gas streams; 2) within RGP, unscheduled shutdowns due to equipment malfunction; 3) at the outlet, strict product specifications enforced by the customers. These challenges force RGP to improve its efficiency in order to sustain profitability. An identified area for improvement is during operational planning. This type of planning poses a short-term and continuous scheduling problem in which preconfigured setpoints are directly implemented by regulatory controllers. While this practice is currently accepted, economic benefits can be further realized by frequent reevaluation of plant states through real-time optimization (RTO). Since scheduling is performed at a much larger time-scale (days-weeks) as compared with RTO (hours-days), integration of these two automation layers is difficult. This book discusses an efficient approach for integration of scheduling and RTO in the RGP.
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Nooryusmiza Yusoff is a Senior Lecturer at Universiti Teknologi PETRONAS (UTP), where he is currently serving as Associate Head of Chemical Engineering Department. He graduated with BSc Degree in Chemical Engineering (1997) from Northwestern University, USA; MSc Degree (2001) from University of Calgary, Canada; and PhD (2010) from UTP, Malaysia.
Nooryusmiza Yusoff is a Senior Lecturer at Universiti Teknologi PETRONAS (UTP), where he is currently serving as Associate Head of Chemical Engineering Department. He graduated with BSc Degree in Chemical Engineering (1997) from Northwestern University, USA; MSc Degree (2001) from University of Calgary, Canada; and PhD (2010) from UTP, Malaysia.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A refrigerated gas plant (RGP) faces operational challenges on three fronts namely: 1) at the plant inlet, fluctuations in flow rate and composition caused by multiple feed gas streams; 2) within RGP, unscheduled shutdowns due to equipment malfunction; 3) at the outlet, strict product specifications enforced by the customers. These challenges force RGP to improve its efficiency in order to sustain profitability. An identified area for improvement is during operational planning. This type of planning poses a short-term and continuous scheduling problem in which preconfigured setpoints are directly implemented by regulatory controllers. While this practice is currently accepted, economic benefits can be further realized by frequent reevaluation of plant states through real-time optimization (RTO). Since scheduling is performed at a much larger time-scale (days-weeks) as compared with RTO (hours-days), integration of these two automation layers is difficult. This book discusses an efficient approach for integration of scheduling and RTO in the RGP. Seller Inventory # 9783639276305
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Taschenbuch. Condition: Neu. Profit Optimization | An Integrated Approach for Scheduling and Real-time Optimization in a Refrigerated Gas Plant | Nooryusmiza Yusoff (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639276305 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 107450641
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