Autor/Autorin: Yusoff Nooryusmiza
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.
Autor/Autorin: Ramasamy Marappagounder
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.
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.
Über den Autor
Nooryusmiza Yusoff received his BSc. from Northwestern University, USA in 1997 and MSc. from the University of Calgary, Canada in 2001. He is currently lecturing ChE at the Universiti Teknologi PETRONAS, Malaysia. His areas of research interest center on process modeling and simulation, advanced process control as well as multiscale system design.
Klappentext
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.
