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Received January 5, 2013
Accepted April 30, 2013
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
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Design and optimization of industrial power systems for natural gas processing
Centre for Process Integration, School of Chemical Engineering Analytical Science, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK 1Department of Chemical Engineering, Hanyang University, Wangsimno-ro 222, Seongdong-gu, Seoul 133-791, Korea
Korean Journal of Chemical Engineering, August 2013, 30(8), 1533-1543(11), 10.1007/s11814-013-0069-9
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Abstract
This paper presents a novel design methodology for power systems. A superstructure-based modelling technique has been applied to identify the cost-effective match between available power generation equipment and energy consumers. Multi-period design is conducted to ensure accurate equipment performance estimation. The proposed MILP (mixed integer linear programming) optimization model is able to reflect the machinery performance variations affected by the environmental conditions, and to estimate the deteriorated machinery performance due to part-load operation. To maintain the linear nature of the overall mathematical model, machinery performance is linearized with reasonable accuracy. Moreover, the multi-period methodology is able to conduct synthesis of power systems for processes with non-constant energy demands. Case studies are illustrated to demonstrate the importance of considering the effect of ambient conditions and part-load operation on machinery performance. With the ability to satisfy varying_x000D_
energy demands, and more accurate description of the machinery performance, the optimal design yielded from the improved model would exhibit better flexibility and reliability.
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Shang ZG, Kokossis A, Chem. Eng. Sci., 60(16), 4431 (2005)
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Fallaize RA, Phillips RS, Gas Processors Association Europe, London, UK (2002)
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Zheng XS, Kim JK, Ind. Eng. Chem. Res., 50(19), 11201 (2011)
