Trutnevyte, E;
Guivarch, C;
(2014)
Innovative techniques for quantitative scenarios in energy and environmental research: a review.
In: Ames, DP and Quinn, NWT and Rizzoli, AE, (eds.)
7th International Congress on Environmental Modelling and Software Proceedings.
iEMSS
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Abstract
Quantitative scenarios form the core of the future analysis in the energy, climate and other environment-related fields. A growing number of researchers worldwide start using innovative techniques for developing, analysing and choosing quantitative scenarios. Some of these techniques involve a large number of scenarios. Different rationales motivate these strands of research: better system understanding, uncertainty analysis, development of robust strategies, selection of a small set of scenarios, ability to link storylines with quantitative scenarios and other. These techniques are argued to provide both novel research insights and policy-relevant scenario exercises. A workshop will be organized in 26-27 March 2014 to bring together the key researchers that use these innovative techniques for developing, analysing and choosing quantitative scenarios in energy and environmental research. The workshop aims at gathering these existing techniques into one toolbox, consolidate experiences and draw avenues for future research. This article will give an overview of the workshop results. It will present and analyse innovative quantitative techniques for developing state-of‐the‐art research‐based and highly policy-relevant scenarios.
Type: | Proceedings paper |
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Title: | Innovative techniques for quantitative scenarios in energy and environmental research: a review |
Event: | 7th International Congress on Environmental Modelling and Software |
Location: | San Diego, USA |
Dates: | 2014-06-15 - 2014-06-19 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.iemss.org/society/index.php/iemss-2014-... |
Language: | English |
Additional information: | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Scenario techniques, Energy |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery.ucl.ac.uk/id/eprint/1429919 |
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