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

机译:能源和环境研究的场景技术:概述最近的发展,以扩大处理复杂性和不确定性的能力

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摘要

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. (C) 2017 Elsevier Ltd. All rights reserved.
机译:场景技术是能源和环境研究与决策中的一个生机勃勃的领域。本主题(TI)着重介绍了定量(计算)方法,这些方法可改进情景的开发和使用,以应对复杂性和(深度)不确定性的双重挑战。 TI收集了13篇文章,描述了方法学的创新或对现有方法的扩展和完善,以及展示了这些方法学发展潜力的应用程序。 TI提出了两种方法论重点来应对(深度)不确定性和复杂性的挑战:多样性和脆弱性方法有助于解决不确定性。多目标和多尺度方法有助于解决复杂性;这些焦点的一些组合也可以应用。 TI的这篇概述文章介绍了TI收集的贡献,并展示了它们如何分别或共同为场景技术带来新的能力,以应对复杂性和(深度)不确定性。 (C)2017 Elsevier Ltd.保留所有权利。

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