Files and links (2)
CC BY V4.0, Open Access
Journal article
Using dynamic relative climate impact curves to quantify the climate impact of bioenergy production systems over time
Global change biology. Bioenergy, Vol.11(2), pp.427-443
02/2019
Handle:
https://hdl.handle.net/2376/118413
Appears in Aviation Sustainability Center (ASCENT)
Abstract
The climate impact of bioenergy is commonly quantified in terms of CO2 equivalents, using a fixed 100‐year global warming potential as an equivalency metric. This method has been criticized for the inability to appropriately address emissions timing and the focus on a single impact metric, which may lead to inaccurate or incomplete quantification of the climate impact of bioenergy production. In this study, we introduce Dynamic Relative Climate Impact (DRCI) curves, a novel approach to visualize and quantify the climate impact of bioenergy systems over time. The DRCI approach offers the flexibility to analyze system performance for different value judgments regarding the impact category (e.g., emissions, radiative forcing, and temperature change), equivalency metric, and analytical time horizon. The DRCI curves constructed for fourteen bioenergy systems illustrate how value judgments affect the merit order of bioenergy systems, because they alter the importance of one‐time (associated with land use change emissions) versus sustained (associated with carbon debt or foregone sequestration) emission fluxes and short‐ versus long‐lived climate forcers. Best practices for bioenergy production (irrespective of value judgments) include high feedstock yields, high conversion efficiencies, and the application of carbon capture and storage. Furthermore, this study provides examples of production contexts in which the risk of land use change emissions, carbon debt, or foregone sequestration can be mitigated. For example, the risk of indirect land use change emissions can be mitigated by accompanying bioenergy production with increasing agricultural yields. Moreover, production contexts in which the counterfactual scenario yields immediate or additional climate impacts can provide significant climate benefits. This paper is accompanied by an Excel‐based calculation tool to reproduce the calculation steps outlined in this paper and construct DRCI curves for bioenergy systems of choice.
Dynamic Relative Climate Impact (DRCI) curves are a novel approach to quantify the climate impact of bioenergy systems over time. The DRCI approach offers the flexibility to analyze system performance for different value judgments regarding the impact category, equivalency metric, and analytical time horizon. The DRCI curves for four bioenergy systems illustrated in this figure show how the aforementioned value judgments can lead to alternative conclusions about the (relative) performance of bioenergy systems.
Metrics
1 File views/ downloads
14 Record Views
Details
- Title
- Using dynamic relative climate impact curves to quantify the climate impact of bioenergy production systems over time
- Creators
- Sierk de Jong - Utrecht UniversityMark Staples - Massachusetts Institute of TechnologyCarla Grobler - Massachusetts Institute of TechnologyVassilis Daioglou - PBL Netherlands Environmental Assessment AgencyRobert Malina - Hasselt UniversitySteven Barrett - Massachusetts Institute of TechnologyRic Hoefnagels - Utrecht UniversityAndré Faaij - University of GroningenMartin Junginger - Utrecht University
- Publication Details
- Global change biology. Bioenergy, Vol.11(2), pp.427-443
- Academic Unit
- Aviation Sustainability Center (ASCENT); Alternative Jet Fuel
- Number of pages
- 17
- Grants
- 13-C-AJFE-MIT-03, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-12, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-16, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-28, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-33, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-04, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-17, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-24, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-MIT-37, Federal Aviation Administration (United States, Washington) - FAA
- Grant note
- EIT Climate‐KIC (APSP0002) US Federal Aviation Administration, Office of Environment and Energy (FAA Award Number 13-C-AJFE-MIT)
- Identifiers
- 99900581163301842
- Language
- English
- Resource Type
- Journal article