The implementation of waste heat recovery units on oil and gas offshore platforms demands advances in both design methods and control systems. Model-based control algorithms can play an important role in the operation of offshore power stations. A novel regulator based on a linear model predictive control (MPC) coupled with a steady-state performance optimizer has been developed in the simulink language and is documented in the paper. The test case is the regulation of a power system serving an oil and gas platform in the Norwegian Sea. One of the three gas turbines is combined with an organic Rankine cycle (ORC) turbogenerator to increase the energy conversion efficiency. Results show a potential reduction of frequency drop up to 40% for a step in the load set-point of 4 MW, compared to proportional–integral control systems. Fuel savings in the range of 2–3% are also expected by optimizing on-the-fly the thermal efficiency of the plant.
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July 2016
Research-Article
Model Predictive Control of Offshore Power Stations With Waste Heat Recovery
Leonardo Pierobon,
Leonardo Pierobon
Department of Mechanical Engineering,
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: lpier@mek.dtu.dk
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: lpier@mek.dtu.dk
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Xiangan Li,
Xiangan Li
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: lixiangan05572@gmail.com
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: lixiangan05572@gmail.com
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Krishna Iyengar,
Krishna Iyengar
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: krishna@alumni.cmu.edu
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: krishna@alumni.cmu.edu
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Fredrik Haglind,
Fredrik Haglind
Associate Professor
Department of Mechanical Engineering,
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: frh@mek.dtu.dk
Department of Mechanical Engineering,
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: frh@mek.dtu.dk
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Erik Ydstie
Erik Ydstie
Professor
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: ydstie@cmu.edu
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: ydstie@cmu.edu
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Leonardo Pierobon
Department of Mechanical Engineering,
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: lpier@mek.dtu.dk
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: lpier@mek.dtu.dk
Richard Chan
Xiangan Li
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: lixiangan05572@gmail.com
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: lixiangan05572@gmail.com
Krishna Iyengar
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: krishna@alumni.cmu.edu
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: krishna@alumni.cmu.edu
Fredrik Haglind
Associate Professor
Department of Mechanical Engineering,
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: frh@mek.dtu.dk
Department of Mechanical Engineering,
Technical University of Denmark,
Kongens Lyngby 2800, Denmark
e-mail: frh@mek.dtu.dk
Erik Ydstie
Professor
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: ydstie@cmu.edu
Department of Chemical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: ydstie@cmu.edu
1Corresponding author.
Contributed by the Electric Power Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received March 15, 2015; final manuscript received October 23, 2015; published online February 9, 2016. Assoc. Editor: Rakesh K. Bhargava.
J. Eng. Gas Turbines Power. Jul 2016, 138(7): 071801 (13 pages)
Published Online: February 9, 2016
Article history
Received:
March 15, 2015
Revised:
October 23, 2015
Citation
Pierobon, L., Chan, R., Li, X., Iyengar, K., Haglind, F., and Ydstie, E. (February 9, 2016). "Model Predictive Control of Offshore Power Stations With Waste Heat Recovery." ASME. J. Eng. Gas Turbines Power. July 2016; 138(7): 071801. https://doi.org/10.1115/1.4032314
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