Modelling Superstructure for Conceptual Design of Syngas Generation and Treatment

  • Aarón D. Bojarski
  • Mar Pérez-Fortes
  • José María Nougués
  • Luis Puigjaner
Part of the Green Energy and Technology book series (GREEN)


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.


Combine Cycle Heat Recovery Steam Generator Heat Exchanger Network Syngas Production Waste Heat Boiler 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Artificial neural network


Air separation unit


Combined cycle


Cold gas efficiency


Continuous stirred tank reactor


Degree of freedom


Equation oriented


Equivalence ratio


Genetic algorithm


Gas turbine


Heat recovery steam generator


High pressure


Integrated gasification combined cycle


Intermediate pressure


Key performance indicators


Lower heating value


Linear programming


Low pressure


Mixed-integer linear programming


Mixed-integer non-linear programming


Multi-objective optimisation


Mean square error


Non-linear programming


Objective function


Plug flow reactor


Pressure ratio


Pressure swing adsorption


Pressurised entrained flow


Response surface methodology


Sensitivity analysis


Sequential modular


Sequential quadratic programming


Steam turbine


Turbine inlet temperature


Turbine outlet temperature




Waste heat boiler


Clean gas


Raw gas


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Aarón D. Bojarski
    • 1
  • Mar Pérez-Fortes
    • 1
  • José María Nougués
    • 1
  • Luis Puigjaner
    • 1
  1. 1.ETSEIBUniversitat Politècnica de CatalunyaBarcelonaSpain

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