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Methanol-Managing greenhouse gas emissions in the production chain by optimizing the resource base

Authors: Hurme, Markku; Oinas; Pekka; Kajaste-Rudnitskaja, Raili;

Methanol-Managing greenhouse gas emissions in the production chain by optimizing the resource base

Abstract

The growing demand for methanol as fuel and global competition for resources are key drivers behind the need to find new routes for the production of bulk chemicals such as methanol. Widening the resource base is also linked to the increasing concentrations of methane in the atmosphere. Furthermore, managing greenhouse gas emissions is vital in developing new technologies. This paper compares production routes for methanol based on a cradle-to-gate life cycle assessment (LCA). The LCA is limited to the impact categories of global warming potential (GWP100) and energy use. The highest GWP100 value of 2.97 kg CO2eq/kg CH3OH is for methanol from coal, and the lowest, negative emission of 0.99 kg CO2eq/kg CH3OH is for methanol in co-production with renewable corn ethanol. A comparison of production routes is performed using the carbon dioxide equivalent abatement cost, and the production cost of methanol. The best performing technology on both production cost and GWP100 is methanol produced by gasification from wood biomass. The factors affecting the results are addressed. >

Country
Finland
Related Organizations
Keywords

TK1001-1841, BIOMASS GASIFICATION, TJ807-830, PART, Renewable energy sources, ENERGY, Production of electric energy or power. Powerplants. Central stations, greenhouse gases, methanol| greenhouse gases| resource base| renewable resources| circular economy, resource base, ta215, methanol, circular economy, PERFORMANCE, CARBON-DIOXIDE UTILIZATION, renewable resources, RENEWABLE HYDROGEN, SIMULATION, CO2, NATURAL-GAS, SYSTEM

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    60
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 10%
Top 10%
Top 10%
Green
gold