Greensyngas

Researcher:

Xiangmei Meng M.Sc.

Project managers:

Dr. ir. Wiebren de Jong

Prof. Mehri Sanati (Lund University)

Funding:

European Commission under via FP7 Integrated Project

Chair:

Involved People:

Facilities used:

Background:

The transport sector represents a growing share of fossil fuel demand in the world and needs to be reduced in order to fulfill the commitment to the Kyoto Protocol. An important approach to achieving this goal is to increase the proportion of renewable fuel as feed stocks in conversion processes in the production of vehicle fuel and specifically of second generation biofuels. This project will develop and demonstrate advanced synthesis gas cleaning technologies based on both physical separation and chemical conversion of product gas derived from biomass gasification.

The specified scientific and Technological objectives of the GREENSYNGAS Project are:

 

 

 

 

 

  • To develop advanced characterization techniques for the measurement of emissions from biomass gasification processes in a real process environment
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  • To develop different sorbent materials (e.g. alkali, tar, sulfur) to remove the target contaminants under optimal process conditions
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  • To evaluate the impact of different reformer process options on system efficiency and durability.
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  • Development and assessment of high temperature particulate removal system based upon Porvair’s combined high efficiency cyclone and blow back element technology.
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    Objective

    The main goal of GreenSyngas project is the development of a unique and efficient gas cleanup device to reduce impurities from the gasifier’s product gas that will limit the downstream requirements for upgrading of the syngas using as a feedstock in the transport sector, hydrogen, or electricity generation.

    Work programme

    TU Delft is mainly involved in work package 4: "the removal of tar, alkali, HCl, NH3 and sulfur compounds". This study is focused on high temperature gas cleaning with respect to sulfur cleaning in particular and characterization of tars with novel online measurement techniques. Demonstration of in-bed S capture in integration with in-bed tar reduction will be performed on 100kWth TUD CFB test rig.