The “Nuclear Energy Paradox”- Investigating nuclear imaginaries in energy projections
Bibliographic Data
| ID | 13065141 |
|---|---|
| Authors | Fanny Böse (0009-0004-8814-8946, Federal Office for the Safety of Nuclear Waste Management), Alexander Wimmers (0000-0003-3686-0793, German Institute for Economic Research, corresponding author), Björn Steigerwald (0000-0001-6077-6773, German Institute for Economic Research), Christian von Hirschhausen (0000-0002-0814-8654, German Institute for Economic Research) |
| Year | 2026 |
| Volume | 135 |
| Pages | 104676-104676 |
| Publication date | 2026-03-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Energy Research & Social Science (JOURNAL) |
| Journal identifiers | ISSN: 2214-6296 • E-ISSN: 2214-6326 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.erss.2026.104676 |
| OpenAlex | W7141347683 |
| Language | EN |
| References cited | 52 |
Current energy projections often envision an expansion of nuclear capacities to decarbonize future energy systems. However, this contrasts with the historic and current status of the nuclear industry, marked by techno-economic challenges for both light-water and non-light-water reactor technologies. Regardless, projections of strong nuclear growth have persisted since the 1970s. This paper investigates the “nuclear energy paradox” which shows the recurring divergence between historical projections and actual developments. A data compilation of long-term energy projections from international organizations such as the IAEA and the IEA as well as energy system models like GCAM and MESSAGE, as used in the IPCC, reveal a recurring pattern of high-growth projections for nuclear power. Such projections often rest on techno-economic assumptions such as substantial cost reductions. We propose the concept of nuclear imaginaries to show that these assumptions are embedded into techno-economic visions of nuclear power development, which shape model assumptions and narratives. The historic perspective helps to show that nuclear imaginaries may never materialize and remain in a hypothetical state for decades. Our findings support decision-makers in making more informed decisions and urge for caution when interpreting energy scenarios and projections, especially for nuclear power. • Decades of high-growth projections for nuclear power from (inter-)national agencies and from academia can be observed • Actual development shows divergence between projections and reality • A recurring pattern of overestimation can be identified, which we call the “nuclear energy paradox” • The paradox is rooted in nuclear imaginaries like the plutonium economy and/or hopes of mass production of, e.g., SMRs • Recent energy scenarios are still driven by narratives that are based on certain nuclear imaginaries
Energy (signal processing · Energy consumption · Field (mathematics · Noise (video · Projection (relational algebra · Cold Fusion and Nuclear Reactions · Global Energy and Sustainability Research · Twentieth Century Scientific Developments
Dynamics of energy technologies and global change
The representative concentration pathways
GCAM v5.1
Les physiciens dans le mouvement antinucléaire
Historical diffusion of nuclear, wind and solar power in different national contexts
Let it Flow, Our Energy or Bright Future
Destined for decline? Examining nuclear energy from a technological innovation systems perspective
Questioning nuclear scale-up propositions
How modelers construct energy costs
In tech we trust
A collective blueprint, not a crystal ball
The evolution of the IPCC's emissions scenarios
Sustainability assessment of nuclear power
From The Limits to Growth to Greenhouse Gas Emissions Pathways
Shared Socio-Economic Pathways of the Energy Sector – Quantifying the Narratives
IPCC emission scenarios
The SSP4
The marker quantification of the Shared Socioeconomic Pathway 2
An assessment of the performance of scenarios against historical global emissions for IPCC reports
The roads ahead
The institutional context of science, models, and policy
Containing the Atom
Sociotechnical agendas
Anticipating futures through models
Regime Resistance against Low-Carbon Transitions
| Highly cited | No |
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