A collective blueprint, not a crystal ball: How expectations and participation shape long-term energy scenarios

Abstract

The development of energy systems is not a technocratic process but equally shaped by societal and cultural forces. Key instruments in this process are model-based scenarios describing a future energy system. Applying the concept of fictional expectations from social economics, we show how energy scenarios are tools to channel political, economic, and academic efforts into a common direction. To impact decision-making, scenarios do not have to be accurate -- but credible and evoke coherent expectations in diverse stakeholders. To gain credibility, authors of scenarios engage with stakeholders and appeal to the authority of institutions or quantitative methods. From these insights on energy scenarios, we draw consequences for developing and applying planning models, the quantitative tool energy scenarios build on. Planning models should be open and accessible to facilitate stakeholder participation, avoid needlessly complex methods to minimize expert bias and aim for a large scope to be policy relevant. Rather than trying to simulate social preferences and convictions within engineering models, scenario development should pursue broad and active participation of all stakeholders, including citizens.

References in corpus (7)

• Response to 'Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems'
• The Near-Optimal Feasible Space of a Renewable Power System Model
• The strong effect of network resolution on electricity system models with high shares of wind and solar
• Modeling all alternative solutions for highly renewable energy systems
• Centralized and decentral approaches to succeed the 100% energiewende in Germany in the European context: A model-based analysis of generation, network, and storage investments
• A graph-based formulation for modeling macro-energy systems
• Adequacy of time-series reduction for renewable energy systems

Cited by in corpus (1)

• Stabilized Benders decomposition for energy planning under climate uncertainty