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Benefits and challenges of participatory methods in qualitative energy scenario development

Abstract Energy scenarios are a tool for exploring possible future developments or states of energy systems. However, traditional energy scenarios mainly concentrate on technological feasibility and economic impacts and lack consideration of social feasibility. Participatory methods, meaning the involvement of external scientists and stakeholders in the scenario development process, can integrate different types of knowledge, perspectives, and values to improve energy scenario development. This paper reports on an approach which is deduced from the strengths and weaknesses of current research applying participatory methods to generate qualitative scenarios. Three different participatory methods - envisioning storylines, futures wheel, and evaluation of narratives - are combined in order to balance the strengths and weaknesses of each of them to create transparent, plausible qualitative scenarios without predisposition. At these three workshops, a total of 25 external and eleven internal participants discussed future developments of the German energy transformation (Energiewende). The paper examines whether this approach overcomes the limitations of current approaches and is ultimately suitable for improving energy scenarios. The findings suggest that a combination of different participatory methods and also a variety of participants help to overcome bias, explore different future pathways in depth, and distinguish between certain and uncertain developments.
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).57 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 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
