How negative can biofuels with CCS take us and at what cost? Refining the economic potential of biofuel production with CCS using spatially-explicit modeling

10788 8 33670 2 72391 document 33670 1-s2.0-S1876610214025272-main.pdf application/pdf 185ed649c95cb4092427789cc9539c74 MD5 4629098 2016-02-23 10:24:36 https://pure.iiasa.ac.at/id/eprint/10788/1/1-s2.0-S1876610214025272-main.pdf 10788 1 1 application/pdf text en public

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published 33671 2 72394 document 33671 lightbox.jpg image/png 4c90e04542b8cb0db7b76bb72468b00c MD5 45675 2016-02-23 10:24:41 https://pure.iiasa.ac.at/id/eprint/10788/2/lightbox.jpg 10788 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/33670 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/33670 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/33670 archive 351 disk0/00/01/07/88 2016-01-15 08:50:13 2021-08-27 17:23:57 2016-01-15 08:50:13 article show 1 Johnson N. 1970 Parker N. Ogden J. How negative can biofuels with CCS take us and at what cost? Refining the economic potential of biofuel production with CCS using spatially-explicit modeling pub iis_ene prog_ene Biofuels; Carbon capture and storage (CCS); Spatial optimization; Geographic information systems (GIS); United States Global integrated assessment models indicate the importance of technologies that can achieve negative emissions in scenarios that limit warming to 2 degrees C over pre-industrial levels. One of the most promising options for achieving negative emissions is the production of electricity or fuels using biomass coupled with carbon capture and storage (BECCS). Given that the transport sector is relatively difficult to decarbonize, ECCS can be particularly valuable for reducing the carbon intensity of transport fuels. This paper combines spatially-explicit biorefinery siting and CCS infrastructure models to examine the potential for biofuels with CCS in the United States. The outputs provide insight into the optimal deployment of biorefineries with CCS from 2020 to 2050, including an assessment of the magnitude of the required infrastructure and identification of regional storage constraints. Furthermore, the model identifies the average biofuel production cost at each site and develops geospatial supply curves, abatement cost curves, and negative emission potentials for biofuels with CCS over time. 2014-12 published Elsevier 10.1016/j.egypro.2014.11.712 XJ-14-263 Energy Procedia; 63:6770-6791 (2014) [doi:10.1016/j.egypro.2014.11.712] Part of a special issue, [[12th International Conference on Greenhouse Gas Control Technologies, GHGT-12]] 137 public Energy Procedia 6770-6791 TRUE 1876-6102 FALSE info:eu-repo/semantics/article