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2011 | OriginalPaper | Buchkapitel

Modelling Superstructure for Conceptual Design of Syngas Generation and Treatment

verfasst von : Aarón D. Bojarski, Mar Pérez-Fortes, José María Nougués, Luis Puigjaner

Erschienen in: Syngas from Waste

Verlag: Springer London

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Abstract

In this chapter a description of how the process synthesis problem can be casted as a superstructure optimisation problem is done. The first section draws on how the superstructure can be built, while the second section depicts the different techniques that can be used to reduce the computational time required to run a superstructure optimisation. Section 3 describes the different integration and control considerations embedded in a possible superstructure for analysing syngas generation and treatment. This last section also shows the results of different scenarios of this superstructure model.

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Vorheriges Kapitel H2 Production and CO2 Separation

Nächstes Kapitel Process Integration: HEN Synthesis, Exergy Opportunities

The merit function is a scalar-valued function that indicates whether a new iterate is better or worse than the current iterate, in the sense of making progress towards a root of the equation system. The most widely used merit function is the sum of squares.

It provides with three different implementations one of them is based on the work of Biegler and Cuthrell [18] and Lang and Biegler [19], while other implements the Broyden-Fletcher-Goldfarb-Shanno (BFGS) approximation to the Hessian of the Lagrangian [20].

Matlab^© has already a set of optimiser codes for solving NLP problems but it can also access other stand alone solvers easily.

Cameron I (2005) Modelling across the process life cycle: a risk management perspective. Eur Symp Comput Aided Process Eng 15:3–19

ISO15288 (2008) Systems and software engineering—system life cycle processes. Technical report ISO, Genève, Switzerland

ISO14040 (1997) Environmental management—life cycle assessment—principles and framework. Technical report ISO. Genève, Switzerland

Cameron IT, Newell RB (2006) Modeling in the process life cycle. In: Puigjaner L, Heyen G (eds) Computer aided process and product engineering, Sect. 4.2. Wiley, New York, pp 667–693CrossRef

Yang Y, Shi L (2000) Integrating environmental impact minimization into conceptual chemical process design: a process systems engineering review. Comput Chem Eng 24:1409–1419CrossRef

Rebitzer G, Ekvall T, Frischknecht R, Hunkeler D, Norris G, Rydberg G, Schmidt W, Suh S, Weidema B, Pennington D (2004) Life cycle assessment Part 1: framework, goal and scope definition, inventory analysis, and applications. Environ Int 30:701–720CrossRef

Douglas JA (1985) Hierarchical decision procedure for process synthesis. AlChE J 31:353–362CrossRef

Biegler L, Grossmann I, Westerberg A (1997) Systematic methods of chemical process design. Prentice-Hall, Englewood Cliffs

Yeomans H, Grossmann IE (1999) A systematic modeling framework of superstructure optimization in process synthesis. Comput Chem Eng 23:709–731CrossRef

10.

Metz B, Davidson O, Coninck H, Loos M, Meyer L (2005) Special report on carbon dioxide capture and storage, Chap. 3. IPCC, Switzerland

11.

Diwekar U (2005) Green process design, industrial ecology, and sustainability: a systems perspective. Resour Conserv Recy 44:215–235CrossRef

12.

Diwekar U, Small M (2002) Process analysis approach to industrial ecology. In: Ayres RU, Ayres LW (eds) A handbook of industrial ecology. Edward Elgar, Cheltenham, UK, pp 114–137

13.

Nocedal J, Wright S (2006) Numerical optimization, 2nd edn. Springer, BerlinMATH

14.

Steuer R (1986) Multiple criteria optimization: theory computation and application. Wiley series in probability and mathematical statistics–applied, 1st edn. Wiley, New York

15.

Statnikov R, Matusov J (1995) Multicriteria optimization and engineering, 1st edn. Chapman and Hall, New YorkCrossRef

16.

Griva I, Nash G, Sofer A (2009) Linear and nonlinear optimization, 2nd edn. Society for Industrial and Applied Mathematics (SIAM), PhiladelphiaMATHCrossRef

17.

Caballero J, Odjo A, Grossmann I (2007) Flowsheet optimization with complex cost and size functions using process simulators. AIChE J 53:2351–2366CrossRef

18.

Biegler L, Cuthrell J (1985) Improved infeasible path optimization for sequential modular simulators, Part II: the optimization algorithm. Comput Chem Eng 9:257–267CrossRef

19.

Lang Y-D, Biegler L (1987) A unified algorithm for flowsheet optimization. Comput Chem Eng 11:143–158CrossRef

20.

AspenTech INC (2005) Aspen plus system reference. Aspen Tech, Cambrige

21.

AspenTech INC (2005) Aspen HYSYS system reference. Aspen Tech, Cambrige

22.

Alexander B, Barton G, Petrie J, Romagnoli J (2000) Process synthesis and optimisation tools for environmental design: methodology and structure. Comput Chem Eng 24:1195–1200CrossRef

23.

Chen H, Rogers T, Barna B, Shonnard D (2003) Automating hierarchical environmentally-conscious design using integrated software: VOC recovery case study. Environ Prog 22:147–160CrossRef

24.

Caballero J, Milan-Yanez D, Grossmann I (2005) Rigorous design of distillation columns. Integration of disjunctive programming and process simulators. Ind Eng Chem Res 44(200):6760–6775CrossRef

25.

Diwekar U, Grossmann I, Rubin E (1992) An MINLP process synthesizer for a sequential modular simulator. Ind Eng Chem Res 31:313–322CrossRef

26.

Chaudhuri P, Diwekar U (1997) Synthesis under uncertainty with simulators. Comput Chem Eng 21:733–738CrossRef

27.

Fu Y, Diwekar U, Young D, Cabezas H (2001) Designing processes for environmental problems. In: Sikdar SK, El-Halwagi M (eds) Process design tools for the environment, vol 1, Chap. 12. Taylor & Francis, New York, pp 295–317

28.

Fang K, Li R, Sudjianto A (2006) Design and modeling for computer experiments, 1st edn. Chapman & Hall/CRC, Taylor & Francis, Boca Raton, FLMATH

29.

Chen J, Frey C (2004) Optimization under variability and uncertainty: a case study for NOx emissions control for a gasification system. Environ Sci Technol 38:6741–6747CrossRef

30.

Almeida-Bezerra M, Santelli R, Padua-Oliveira E, Escaleira L (2008) Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta 76:965–977CrossRef

31.

Kasabov N (1998) Foundations of neural networks, fuzzy systems, and knowledge engineering, 2nd edn, a Bradford book. MIT Press, Cambridge, Massachusetts

32.

Pérez-Fortes M, Bojarski AD, Velo E, Nougués JM, Puigjaner L (2009) Conceptual model and evaluation of generated power and emissions in an IGCC plant. Energy 34:1721–1732CrossRef

33.

Pérez-Fortes M, Bojarski AD, Velo E, Puigjaner L (2010) IGCC power plants: Conceptual design and techno-economic optimization. In: Harris AM (ed) Clean energy: resources, production and developments. NOVA, Hauppauge, NY

34.

Giampaolo T (2006) The gas turbine handbook, principles and practice, 3rd edn. Fairmont Press, Lilburn, Georgia

35.

Zhu Y (2004) Evaluation of gas turbine and gasifier-based power generation system. PhD thesis, Graduate Faculty, North Carolina State University

36.

Ongiro AO, Ugursal VI, Altaweel AM, Blamire DK (1995) Simulation of combined-cycle power-plants using the Aspen Plus shell. Heat Recovery Syst CHP 15:105–113CrossRef

37.

Coca MT (2003) Tecnología de gasificación integrada en ciclo combinado: GICC. Aplicación real en España: Elcogas. Puertollano. Technical report, ENERCLUB

38.

Highman C, van der Burght M (2003) Gasification. Elsevier Science, Amsterdam

39.

Wells G, Rose L (1986) The art of chemical process design, Vol 1–2 of computer-aided chemical engineering. Elsevier, Amsterdam

Titel: Modelling Superstructure for Conceptual Design of Syngas Generation and Treatment
verfasst von: Aarón D. Bojarski
Mar Pérez-Fortes
José María Nougués
Luis Puigjaner
Verlag: Springer London
Buch: Syngas from Waste
Print ISBN: 978-0-85729-539-2

Electronic ISBN: 978-0-85729-540-8

Copyright-Jahr: 2011
DOI: https://doi.org/10.1007/978-0-85729-540-8_8