Competing uses of biomass for energy and chemicals: Implications for long-term global CO2 mitigation potential

Vasileios Daioglou, Birka Wicke, André Faaij, Detlef van Vuuren

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Biomass is considered a low carbon source for various energy or chemical options. This paper assesses it’s different possible uses, the competition between these uses, and the implications for long-term global energy demand and energy system emissions. A scenario analysis is performed using the TIMER energy system model. Under baseline conditions, 170 EJ yr 1 of secondary bioenergy is consumed in 2100 (approximately 18% of total secondary energy demand), used primarily in the transport, buildings and nonenergy (chemical production) sectors. This leads to a reduction of 9% of CO2 emissions compared to a counterfactual scenario where no bioenergy is used. Bioenergy can contribute up to 40% reduction in emissions at carbon taxes greater than 500/tC. As higher CO2 taxes are applied, bioenergy is increasingly diverted towards electricity generation. Results are more sensitive to assumptions about resource availability than technological parameters. To estimate the effectiveness of bioenergy in specific sectors, experiments are performed in which bioenergy is only allowed in one sector at a time. The results show that cross-sectoral leakage and emissions from biomass conversion limit the total emission reduction possible in each sector. In terms of reducing emissions per unit of bioenergy use, we show that the use of bioelectricity is the most effective, especially when used with carbon capture and storage. However, this technology only penetrates at a high carbon price (>100/tC) and competition with transport fuels may limit its adoption.
Original languageEnglish
Pages (from-to)1321-1334
Number of pages14
JournalGCB Bioenergy [E]
Volume7
Issue number6
DOIs
Publication statusPublished - 2015

Keywords

  • bioenergy
  • climate policy
  • competing biomass applications
  • cross-sectoral leakage
  • energy system modelling
  • scenario analysis
  • valorisation

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