
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Expectations and drivers of future greenhouse gas emissions from Canada's oil sands: An expert elicitation

Abstract The greenhouse gas (GHG) emissions intensity of oil sands operations has declined over time but has not offset absolute emissions growth due to rapidly increasing production. Policy making, decisions about research and development, and stakeholder discourse should be informed by an assessment of future emissions intensity trends, however informed projections are not easily generated. This study investigates expected trends in oil sands GHG emissions using expert elicitation. Thirteen experts participated in a survey, providing quantitative estimates of expected GHG emissions intensity changes and qualitative identifications of drivers. Experts generally agree that emissions intensity reductions are expected at commercially operating projects by 2033, with the greatest reductions expected through the use of technology in the in situ area of oil sands activity (40% mean reduction at multiple projects, averaged across experts). Incremental process changes are expected to contribute less to reducing GHG emissions intensity, however their potentially lower risk and cost may result in larger cumulative reductions. Both technology availability and more stringent GHG mitigation policies are required to realize these emissions intensity reductions. This paper demonstrates a method to increase rigour in emissions forecasting activities and the results can inform policy making, research and development and modelling and forecasting studies.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
