A multivariable approach for control system optimization of IGCC with CCS in DECARBit project

Energy Procedia

Volumn 23, Issue , 2012, Pages 370-380

  Bardi, A ^a   Pannocchia, G ^b  

^a ENEL   (Italy)

^b UNIVERSITY OF PISA   (Italy)

Author keywords

Dynamic simulation control system; IGCC; Optimization

Indexed keywords

EID: 84897145153     PISSN: 18766102     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.egypro.2012.06.046     Document Type: Conference Paper

References (9)

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2. Nord, L. and Bolland, O., D1. 1. 5 Operability analysis of reference cycle: DECARBit project report, December 2010.
3. Ghelardoni, C., Sviluppo di modelli di simulazione dinamica di processi e tecnologie avanzate di gassificazione: MSc. Thesis in Chemical Engineering, University of Pisa (Italy), 2010.
4. Anantharaman, R., D1. 1. 4 Plant operational performance: DECARBit project report, February 2010.
5. ELCOGAS, Personal communication. Puertollano IGCC, January 2011
6. Hannemann, S., Start-up and shut down procedures of the overall plant. s. l.: ELCOGAS, Siemens AG, Krupp Koppers, Air Liquide, 1996. PO-YI-GE-SBE-001 rev1.
7. Bristol, E. H. On a new measure of interaction of multivariable process control., IEEE Trans. Auto. Cont., 1966, Vol. 11, p. 133-134,
8. Mayne, D. Q., et al. Constrained model predictive control: stability and optimality. Automatica, 2000, Vol. 36, p. 789-814.
9. Qin, S. J. and Badgwell, T. A. A survey of industrial model predictive control technology., Cont. Engin. Pract., 2003, Vol. 11, p. 733-764.