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Industrial Data Collection

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Syngas from Waste

Part of the book series: Green Energy and Technology ((GREEN))

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Abstract

In this chapter, a general description of data-mining techniques is done in the context of IGCC operation. The different control philosophies applicable to IGCC operation are discussed together with different examples of data reconciliation based on process simulation. The problem of process monitorisation, as an example of data-mining application, is extensively discussed and an approach based on PCA is presented.

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Abbreviations

ASU:

Air separation unit

CC:

Combined cycle

CPV:

Cumulative percent variance

DCS:

Distributed control system

DR:

Data reconciliation

ICA:

Independent component analysis

MSPC:

Multivariate statistical process control

NOC:

Normal operating condition

OTC:

Outlet temperature corrected

PC:

Principal component

PCA:

Principal components analysis

PIMS:

Plant information system

PLS:

Partial least squares

SPE:

Squared prediction error

References

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Author information

Authors and Affiliations

  1. ETSEIB, Universitat Politècnica de Catalunya, Diagonal 647, 08028, Barcelona, Spain

    Aarón D. Bojarski, Carlos Rodrigo Alvarez Medina & Mar Pérez–Fortes

  2. ELCOGAS, S.A.Ctra, Calzada de Calatrava a Puertollano, Km. 27 Apdo. Correos 200, 13500, Puertollano–(Ciudad Real), Spain

    Pilar Coca

Authors
  1. Aarón D. Bojarski
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  2. Carlos Rodrigo Alvarez Medina
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  3. Mar Pérez–Fortes
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  4. Pilar Coca
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Corresponding author

Correspondence to Aarón D. Bojarski .

Editor information

Editors and Affiliations

  1. , ETSEIB, Universitat Politècnica de Catalunya, Diagonal 647, Barcelona, 08028, Spain

    Luis Puigjaner

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© 2011 Springer-Verlag London Limited

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Bojarski, A.D., Medina, C.R.A., Pérez–Fortes, M., Coca, P. (2011). Industrial Data Collection. In: Puigjaner, L. (eds) Syngas from Waste. Green Energy and Technology. Springer, London. https://doi.org/10.1007/978-0-85729-540-8_13

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  • DOI: https://doi.org/10.1007/978-0-85729-540-8_13

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-539-2

  • Online ISBN: 978-0-85729-540-8

  • eBook Packages: EngineeringEngineering (R0)

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