Life-Cycle Greenhouse Gas Emissions of Transportation Fuels: Issues and Implications for Unconventional Fuel Sources
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The effectiveness and efficiency of regulatory and other policy approaches intended to reduce the greenhouse gas emissions from transportation fuels can hinge on the fuel life-cycle analysis (LCA). Emerging regulation has raised urgent questions about both definition and evaluation of life-cycle emissions, and the effectiveness, efficiency and equity of regulatory approaches which use such analyses. This paper focuses on the LCA for transportation fuels from unconventional hydrocarbon sources and associated regulatory issues and implications, and examines these in the context of experience gained in the study of conventional hydrocarbon sources, biofuels, electric vehicles, and other alternatives. Critical issues arise in the regulatory use of life-cycle emissions analysis when comparing different types of fuels, for different types of vehicles, including:Uncertainty in life-cycle emissions - Differences in estimates of the life-cycle emissions for one fuel can exceed the differences in estimates for different fuels; boundaries, accounting, aggregation and accuracy of LCA are each critical and determining issues in its application in regulations.Flexible pathways - In order to incentivize innovation in fuel production, many pathways (with the ability to be altered) are needed to map production from each individual agent, who will each have their own process.Energy security - Regulation to lower the life-cycle emissions is often also intended to improve energy security (e.g. by increasing supplies of indigenous biofuels); however, in the case of unconventional sources of oil such regulations may aggravate energy security. For complex policies, such as those involving LCA - especially where there are international ramifications - much broader dialogue is needed to improve the policy's effectiveness, efficiency and ultimately credibility. INTRODUCTION Emerging regulation of life-cycle greenhouse gas emissions for transportation fuels has raised urgent questions about both definition and evaluation of life cycle emissions, and the effectiveness, efficiency and equity of regulatory approaches which use such analyses. The net emissions from a transportation fuel system depend on the definition of system boundaries, which should be appropriate for its use whether that be to provide insight or for a specific regulatory application. For example, inclusion of emissions from the production of vehicles would add to the system--or life-cycle - greenhouse gas emissions of a transportation fuel. For petroleum-based transportation fuels, the use of the fuel results in about five times the greenhouse gas emissions as in its production (EU JRC 2011, NETL 2008). Consistent application of aggregation, accuracy, and transparency of data are also important when making a comparison between any two production pathways. Critical issues arise in the regulatory use of life-cycle emissions when comparing different types of fuels, for different types of vehicles. It is important to note that a life-cycle assessment tool is not needed for regulatory use if there is a comprehensive policy on emissions across all regions and sectors of society - the cost of emissions would be accounted for where they occur. However, in the absence of a comprehensive policy, accurate and consistent life-cycle assessment can have a useful role when accounting for emissions from the life cycle of a fuel.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it