Johan Ahlström - Chalmers University of Technology
Karin Pettersson - Chalmers University of Technology & SP Elisabeth Wetterlund - Luleå University of Technology
Simon Harvey – Chalmers University of Technology
Dimensioning of value
chains for production of
liquefied bio-SNG
Part of an ongoing work, presented as part of research school “Forskarskola energisystem”
Project founded by The Swedish Energy agency
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AGENDA
• Why liquefied SNG (LBG)?
• Studied value chain
• Objective
• Methods
• Resulting energy balance and GHG emissions
BACKGROUND
Decrease CO2-emissions from transport sector
Interest from transportation sector and industry LBG might increase benefits! SNG!
STUDIED VALUE CHAIN
Transport LBG Branches, roots and tops Logs Transport H E A T Tr a n s p o rtWood chips, saw dust bark
OBJECTIVE
• Investigation of LBG production process integrated with a general Nordic sawmill
• Comparison between different dimensioning criteria’s for the LBG-process in relation to the sawmill
• Evaluation of the importance of different aspects of the entire value chain - from well to tank
• Quantification of performance through:
• CO2-emissions per net biomass
• 50, 250 resp. 500 m3 sawn wood annually • Feedstock case • Heat case • 500 MW LBG • Uptake area • Exporting of woodchips
Five dimensioning cases for three sawmill sizes were investigated.
RESULTS
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RESULTS
• GCC for remaining 4 cases 250 m³ sawmill a) Heat b) 500 MW (Very large) c) Uptake area d) Exporting of woodchips a) c) d) b)
RESULTS
• GCC of a) 500 MW LBG and 50 000 m³ sawmill b) 500 MW LBG and 500 000 m³ sawmill IMAGE SAMPLE a) b)RESULTS
• Geographical distribution of sawmills and LNG-
terminals
• Statistical distribution
• Same average distance for small and medium
• Shorter distance for large
RESULTS
• Net emission reduction for all studied cases
• Replacement of fossil fuels most important parameter
• Reduction of electricity consumption second largest impact on
GHG-performance
RESULTS
• Limited impact of transport related emissions
CONCLUSIONS
• Impacts on vale chain from a GHG perspective
• Most important parameter; efficient use of excess heat and electricity
• Impact of transport distance and methane slip – limited impact on value chain performance
• Scale of production might have a negative influence on the performance, if efficient process integration not possible
• Economic evaluation likely to show different results