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Enterprise AI Analysis: Policymaker-led scenarios and public dialogue facilitate energy demand analysis for net-zero futures

Enterprise AI Analysis

Policymaker-led scenarios and public dialogue facilitate energy demand analysis for net-zero futures

Demand-side energy reductions have so far received less policy support than supply-side net-zero technologies. Here we undertake a demand-focused process for energy scenario analysis, led by policymakers and evaluated through public dialogue. We codesign, describe and model four societal futures that aim to achieve the UK's 2050 net-zero target. The uniquely close involvement of policymakers leading the project generates markedly different narratives that reflect policymakers' concerns while still leading to scenarios with reductions in energy demand of 18-45%—exceeding what policies normally suggest. By 2050, technology-focused systems cost 20–100% more than lower-demand ones. While intensive cocreation requires more complex interactions compared with academic-led research, it provides space for important, and otherwise absent, energy demand conversations. This work demonstrates how engaging policymakers to colead energy scenarios can challenge conventional policy assumptions on energy demand while offering an approach to support global climate mitigation efforts.

Executive Impact Summary

This analysis presents a novel approach to energy scenario planning by deeply involving policymakers and public dialogue. It demonstrates that demand-focused strategies can lead to significant energy reductions (18-45% by 2050), challenging conventional supply-side biases. The scenarios reveal that technology-heavy approaches can cost 20-100% more than lower-demand alternatives. The process highlights the importance of co-creation and public engagement to ensure relevance, plausibility, and broader societal buy-in for net-zero pathways, revealing diverse policy implications and infrastructure needs.

0% Max Energy Demand Reduction by 2050
0% Cost Increase for Tech-Heavy Scenarios
0 Societal Futures Co-designed

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Methodology Innovations
Scenario Outcomes & Costs
Public Engagement Insights

The core innovation lies in a policymaker-led, demand-focused scenario analysis. This process moves beyond academic-led approaches by integrating explicit policymaker concerns and implicit knowledge of energy governance. Iterative co-creation with policymakers ensures that scenarios are pragmatic and politically relevant, while public dialogue strengthens democratic mandate and provides critical evaluation.

The co-created scenarios project 18-45% reductions in final energy consumption by 2050, significantly lower than government projections. These reductions are achieved even in growth-focused narratives, challenging the assumption that economic growth is incompatible with demand reduction. Critically, technology-heavy futures are shown to be 20-100% more expensive than lower-demand ones, highlighting substantial cost benefits of demand-side strategies.

Public dialogue revealed that scenarios were judged for plausibility based on similarity to current realities, with high-growth, tech-heavy futures seen as less realistic. Participants emphasized the need for government investment, re-skilling, and dietary changes. A key finding was public mistrust of government in highly automated futures, underscoring the need for consultative and place-based net-zero approaches to foster trust and broader acceptance.

Enterprise Process Flow

Societal Changes Identification
Critical Uncertainties Prioritization
Coherent Scenario Combination
Net-Zero Implications Analysis
Public Perception Evaluation
1060 TWh Highest Electricity Demand (TWh) in Atomized Society (2050)
Comparison Point Atomized Society Metropolitan Society Slow Lane Society Self-Preservation Society
Energy Demand Reduction (by 2050)
  • 18% reduction
  • High consumption maintained
  • 30% reduction
  • High material/energy efficiency
  • 45% reduction
  • Prioritizes repair over new goods
  • 35% reduction
  • Consumption falters due to recessions
Primary Carbon Removal Strategy
  • 80 MtCO2/year Engineered CDR
  • Fossil CCS for mitigation
  • 80 MtCO2/year Engineered CDR
  • 64% BECCS
  • 45 MtCO2/year Engineered CDR
  • 100% BECCS
  • 44 Mt direct air capture
  • Deep electrification
Annual System Cost Increase (by 2050)
  • 136% increase (highest)
  • High investment needs
  • 70% increase
  • Higher growth at lower cost
  • 24% increase (lowest)
  • Smallest energy system
  • 85% increase
  • Reliance on electrification cost

Challenging Conventional Policy on Energy Demand

This study demonstrates how direct engagement with policymakers in co-designing net-zero scenarios can challenge existing assumptions that often overlook significant demand-side reduction potentials. By shifting the focus from solely supply-side technological solutions to broader societal and structural changes, the scenarios revealed more pragmatic and cost-effective pathways to net zero.

Key Outcome: Policymaker-led scenarios achieved 18-45% energy demand reductions, significantly exceeding typical policy suggestions, while reducing overall system costs by up to 50% compared to high-demand futures.

+20% Minimum Cost Increase (%) for Tech-Heavy Systems by 2050

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Implementation Roadmap

Our phased approach ensures a smooth and effective integration of AI solutions, tailored to your organization's unique needs and goals.

Phase 1: Co-creation Workshops

Engage policymakers and experts in facilitated workshops to identify critical drivers of change and co-design future societal narratives, ensuring relevance and buy-in.

Phase 2: Integrated Scenario Modelling

Translate narrative insights into quantitative scenarios using sectoral and whole-system models, allowing for iterative refinement and consistency checks.

Phase 3: Public Dialogue & Validation

Conduct deliberative public dialogues to gather citizen feedback on scenario plausibility and impacts, strengthening democratic mandate and identifying unforeseen challenges.

Phase 4: Policy Integration & Strategy Development

Synthesize findings to inform policy recommendations, challenging conventional assumptions and highlighting demand-side opportunities for global climate mitigation.

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