Integrated Scheduling and RTO of RGP with MPC and PI Controllers

This paper proposes an integrated framework of scheduling and real-time optimization (RTO) of a refrigerated gas plant (RGP). At the top layer, a high fidelity dynamic model of RGP is subjected to scheduling of plant operating mode from natural gas liquids to sales gas, and vice-versa. Set points fr...

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Main Authors: Yusoff, Nooryusmiza, Ramasamy , Marappagounder
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/1736/
http://scholars.utp.edu.my/id/eprint/1736/1/CPE42_NooryusmizaYusoff_%28To_ICCBPE09_Rev01%29.pdf
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author Yusoff, Nooryusmiza
Ramasamy , Marappagounder
author_facet Yusoff, Nooryusmiza
Ramasamy , Marappagounder
author_sort Yusoff, Nooryusmiza
building UTP Institutional Repository
collection Online Access
description This paper proposes an integrated framework of scheduling and real-time optimization (RTO) of a refrigerated gas plant (RGP). At the top layer, a high fidelity dynamic model of RGP is subjected to scheduling of plant operating mode from natural gas liquids to sales gas, and vice-versa. Set points from mode scheduling are passed down to the steady-state RTO layer. Modeling mismatch is minimized by rigorously exchanging values of key variables between dynamic and steady-state models. Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by model predictive control (MPC) scheme and proportional-integral (PI) controllers for comparison. Four case studies for each mode scheduling are performed to illustrate efficacy of the proposed approach.
first_indexed 2025-11-13T07:26:04Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
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language English
last_indexed 2025-11-13T07:26:04Z
publishDate 2009
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spelling oai:scholars.utp.edu.my:17362017-01-19T08:25:59Z http://scholars.utp.edu.my/id/eprint/1736/ Integrated Scheduling and RTO of RGP with MPC and PI Controllers Yusoff, Nooryusmiza Ramasamy , Marappagounder TP Chemical technology This paper proposes an integrated framework of scheduling and real-time optimization (RTO) of a refrigerated gas plant (RGP). At the top layer, a high fidelity dynamic model of RGP is subjected to scheduling of plant operating mode from natural gas liquids to sales gas, and vice-versa. Set points from mode scheduling are passed down to the steady-state RTO layer. Modeling mismatch is minimized by rigorously exchanging values of key variables between dynamic and steady-state models. Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by model predictive control (MPC) scheme and proportional-integral (PI) controllers for comparison. Four case studies for each mode scheduling are performed to illustrate efficacy of the proposed approach. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/1736/1/CPE42_NooryusmizaYusoff_%28To_ICCBPE09_Rev01%29.pdf Yusoff, Nooryusmiza and Ramasamy , Marappagounder (2009) Integrated Scheduling and RTO of RGP with MPC and PI Controllers. In: International Conference on Chemical & Bioprocess Engineering in conjunction with 23rd Symposium of Malaysian Chemical Engineers, 12 - 14 August 2009, Kota Kinabalu, Sabah.
spellingShingle TP Chemical technology
Yusoff, Nooryusmiza
Ramasamy , Marappagounder
Integrated Scheduling and RTO of RGP with MPC and PI Controllers
title Integrated Scheduling and RTO of RGP with MPC and PI Controllers
title_full Integrated Scheduling and RTO of RGP with MPC and PI Controllers
title_fullStr Integrated Scheduling and RTO of RGP with MPC and PI Controllers
title_full_unstemmed Integrated Scheduling and RTO of RGP with MPC and PI Controllers
title_short Integrated Scheduling and RTO of RGP with MPC and PI Controllers
title_sort integrated scheduling and rto of rgp with mpc and pi controllers
topic TP Chemical technology
url http://scholars.utp.edu.my/id/eprint/1736/
http://scholars.utp.edu.my/id/eprint/1736/1/CPE42_NooryusmizaYusoff_%28To_ICCBPE09_Rev01%29.pdf