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Development Of A Gas Turbine Combustor Strategy For Gasification Cycles: Project Summary 355

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Abstract:

The main objectives of this project were to:

  • Compare the current low calorific value (LCV) diffusion flame combustion system design against a lean premix combustion system (based on the ALSTOM G30 design) and a catalytic combustion design approach.
  • Provide a recommendation on the way forward for the commercial exploitation of the LCV and medium calorific value (MCV) gas fuel market, particularly for biomass and underground coal gasification applications.
  • The project evaluated the relative merits of three different systems for burning low calorific value gas. These were a diffusion flame combustion system (current Värnamo/ARBRE build), a lean premix combustion system (based on the ALSTOM-Lincoln premium fuelled G30 design) and a catalytic combustion system. The evaluation was based on assembly and analysis of:

  • The significant existing test data for the diffusion flame combustion system and bench-mark testing using a high pressure rig at Cranfield University.
  • High pressure rig testing of the lean premix combustion system at Cranfield University.
  • Data on catalytic combustion from the open literature and from a previous Foresight Challenge funded project.
  • This summary provides information on:
  • Objectives
  • Summary
  • Background
  • DLE Combustor Design
  • Combustor Testing
  • Recommendations
  • Cost
  • Duration
  • Contractors
  • Publication Year:

    2004

    Publisher:

    Department of Trade and Industry

    DOI:

    No DOI minted

    Author(s):

    DTI

    Language:

    English

    File Type:

    application/pdf

    File Size:

    1288342 B

    Rights:

    Rights not recorded

    Rights Overview:

    Rights are not recorded within the edc, check the data source for details

    Further information:

    N/A

    Region:

    United Kingdom

    Publication Type:

    Project Report

    Theme(s):

    Placeholder Theme

    Related Dataset(s):

    No related datasets

    Related Publications(s):

    No related publications