[Paper Review] The Scenario Culture

Edward Wheatcroft, Henry P. Wynn+5 more|arXiv (Cornell University)|Nov 27, 2019

Global Energy and Sustainability Research26 references4 citations

TL;DR

This paper introduces 'The Scenario Culture'—a framework for using scenario analysis to navigate complex uncertainties in climate, energy, and legal domains. By designing plausible, non-forecasting scenarios based on divergent assumptions, it enables strategic foresight, risk assessment, and decision-making under uncertainty, with key applications in IPCC’s RCPs, UK energy scenarios, and driverless vehicle liability frameworks.

ABSTRACT

Scenario Analysis is a risk assessment tool that aims to evaluate the impact of a small number of distinct plausible future scenarios. In this paper, we provide an overview of important aspects of Scenario Analysis including when it is appropriate, the design of scenarios, uncertainty and encouraging creativity. Each of these issues is discussed in the context of climate, energy and legal scenarios.

Motivation & Objective

• To establish a structured approach to scenario analysis as a tool for managing uncertainty in policy and planning.
• To address the limitations of forecasting by emphasizing plausible, non-extrapolative future pathways.
• To demonstrate the application of scenario analysis in climate science (RCPs), energy planning (UK National Grid scenarios), and legal liability (driverless vehicles).
• To encourage organizational adoption of scenario methods through practical examples and methodological guidance.
• To highlight the role of creativity, uncertainty handling, and stakeholder engagement in scenario design.

Proposed method

• Designing a small set of distinct, plausible future scenarios based on divergent assumptions about key drivers (e.g., decarbonization speed, technology adoption, regulation).
• Using scenario analysis as a non-forecasting tool to explore impacts under different conditions rather than predicting a single future.
• Applying scenarios to real-world domains: climate (RCPs), energy (UK National Grid’s Future Energy Scenarios), and legal liability (driverless vehicles).
• Incorporating stakeholder input and expert judgment to define scenario boundaries and plausible transitions.
• Testing analytical models under multiple scenarios to assess robustness and inform policy decisions.
• Using scenario-based stress testing to evaluate resilience to extreme but plausible events.

Experimental results

Research questions

• RQ1 How can scenario analysis be effectively used to assess risks and opportunities in the face of significant future uncertainties?
• RQ2 What distinguishes scenario analysis from forecasting, and in what contexts is it more appropriate?
• RQ3 How can scenarios be designed to encourage creativity and strategic thinking without relying on historical extrapolation?
• RQ4 What are the practical applications of scenario analysis in climate policy, energy planning, and legal liability frameworks?
• RQ5 How do different scenario structures (e.g., decarbonization speed vs. decentralization level) influence policy and investment decisions?

Key findings

• Scenario analysis is a valuable alternative to forecasting for managing uncertainty, particularly when future outcomes are shaped by complex, non-linear social, political, and technological factors.
• The IPCC’s Representative Concentration Pathways (RCPs) represent a shift from emissions-based to radiative forcing-based scenario definitions, improving clarity and consistency in climate modeling.
• UK National Grid’s Future Energy Scenarios illustrate how different assumptions about decarbonization speed and decentralization lead to distinct energy system pathways, including dominance of wind, solar, and green gas.
• In the energy domain, scenarios such as 'Community Renewables' and 'Two Degrees' show that high levels of smart technology and infrastructure investment can meet 80% carbon reduction targets by 2050.
• In the legal context, scenarios on driverless vehicles reveal that low uptake with high accident rates could lead to prohibitive insurance costs and public backlash, while widespread adoption with clear liability rules could reduce accidents and premiums.
• Scenario analysis supports robust decision-making by testing policy and investment strategies across multiple plausible futures, enhancing resilience and adaptability.