Literature DB >> 24512511

Regional allocation of biomass to U.S. energy demands under a portfolio of policy scenarios.

Kimberley A Mullins1, Aranya Venkatesh, Amy L Nagengast, Matt Kocoloski.   

Abstract

The potential for widespread use of domestically available energy resources, in conjunction with climate change concerns, suggest that biomass may be an essential component of U.S. energy systems in the near future. Cellulosic biomass in particular is anticipated to be used in increasing quantities because of policy efforts, such as federal renewable fuel standards and state renewable portfolio standards. Unfortunately, these independently designed biomass policies do not account for the fact that cellulosic biomass can equally be used for different, competing energy demands. An integrated assessment of multiple feedstocks, energy demands, and system costs is critical for making optimal decisions about a unified biomass energy strategy. This study develops a spatially explicit, best-use framework to optimally allocate cellulosic biomass feedstocks to energy demands in transportation, electricity, and residential heating sectors, while minimizing total system costs and tracking greenhouse gas emissions. Comparing biomass usage across three climate policy scenarios suggests that biomass used for space heating is a low cost emissions reduction option, while biomass for liquid fuel or for electricity becomes attractive only as emissions reduction targets or carbon prices increase. Regardless of the policy approach, study results make a strong case for national and regional coordination in policy design and compliance pathways.

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Year:  2014        PMID: 24512511     DOI: 10.1021/es405222w

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  Scenarios for Low Carbon and Low Water Electric Power Plant Operations: Implications for Upstream Water Use.

Authors:  Rebecca S Dodder; Jessica T Barnwell; William H Yelverton
Journal:  Environ Sci Technol       Date:  2016-10-19       Impact factor: 9.028

  1 in total

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