• Home
  1. Home
  2. Scenario techniques for energy and environmental research: An overview of recent developments to broaden the capacity to deal with complexity and uncertainty
Scientific article
English

Scenario techniques for energy and environmental research: An overview of recent developments to broaden the capacity to deal with complexity and uncertainty

Contributors

Guivarch, Céline; Lempert, Robert; Trutnevyte, Evelina

Published in

Environmental Modelling & Software, vol. 97, p. 201-210

Publication date

2017

Abstract

Scenario techniques are a teeming field in energy and environmental research and decision making. This Thematic Issue (TI) highlights quantitative (computational) methods that improve the development and use of scenarios for dealing with the dual challenge of complexity and (deep) uncertainty. The TI gathers 13 articles that describe methodological innovations or extensions and refinements of existing methods, as well as applications that demonstrate the potential of these methodological developments. The TI proposes two methodological foci for dealing with the challenges of (deep) uncertainty and complexity: diversity and vulnerability approaches help tackle uncertainty; multiple-objective and multiple-scale approaches help address complexity; whereas some combinations of those foci can also be applied. This overview article to the TI presents the contributions gathered in the TI, and shows how they individually and collectively bring new capacity to scenarios techniques to deal with complexity and (deep) uncertainty.

Keywords

  • Scenarios
  • Uncertainty
  • Complexity
  • Diversity
  • Vulnerability
  • Multiple-objective
  • Multiple-scale

UNIGE affiliation entities

Not a UNIGE publication

Citation (ISO format)

GUIVARCH, Céline, LEMPERT, Robert, TRUTNEVYTE, Evelina. Scenario techniques for energy and environmental research: An overview of recent developments to broaden the capacity to deal with complexity and uncertainty. In: Environmental Modelling & Software, 2017, vol. 97, p. 201–210. doi: 10.1016/j.envsoft.2017.07.017

Main files (1)

Article (Submitted version)

Identifiers

Additional URL for this publication

http://linkinghub.elsevier.com/retrieve/pii/S1364815217303936

Journal ISSN

1364-8152
555views
0downloads

Technical informations

Creation

22/01/2018 20:21:00

First validation

22/01/2018 20:21:00

Update

15/03/2023 07:46:56

Status update

15/03/2023 07:46:55

Last indexation

31/10/2024 09:25:16
All rights reserved by Archive ouverte UNIGE and the University of Geneva
OpenAIRE Indexed & Validated