naa a22 4500 510820999 CHVBK 20180411083531.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11814-013-0069-9 doi (NATIONALLICENCE)springer-10.1007/s11814-013-0069-9 Design and optimization of industrial power systems for natural gas processing [Elektronische Daten] [Xuesong Zheng, Jin-Kuk Kim] 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 energy demands, and more accurate description of the machinery performance, the optimal design yielded from the improved model would exhibit better flexibility and reliability. Korean Institute of Chemical Engineers, Seoul, Korea, 2013 Power Systems nationallicence Multi-period Design nationallicence Equipment Performance Deteriorations nationallicence Optimization nationallicence Zheng Xuesong Centre for Process Integration, School of Chemical Engineering Analytical Science, The University of Manchester, Oxford Road, M13 9PL, Manchester, UK aut Kim Jin-Kuk Department of Chemical Engineering, Hanyang University, Wangsimno-ro 222, Seongdong-gu, 133-791, Seoul, Korea aut Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/8(2013-08-01), 1533-1543 0256-1115 30:8<1533 2013 30 11814 https://doi.org/10.1007/s11814-013-0069-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11814-013-0069-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zheng Xuesong Centre for Process Integration, School of Chemical Engineering Analytical Science, The University of Manchester, Oxford Road, M13 9PL, Manchester, UK aut NATIONALLICENCE 700 1- Kim Jin-Kuk Department of Chemical Engineering, Hanyang University, Wangsimno-ro 222, Seongdong-gu, 133-791, Seoul, Korea aut NATIONALLICENCE 773 0- Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/8(2013-08-01), 1533-1543 0256-1115 30:8<1533 2013 30 11814 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer