Up-scaling, formative phases, and learning in the historical diffusion of energy technologies

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Apples, oranges, and consistent comparisons of the temporal dynamics of energy transitions (2016, methodology): “For details of the methodology and data, see: (Wilson 2012, Bento 2013).”
Macroeconomic impact of stranded fossil fuel assets (2018, background): “This is a key stylised feature of the diffusion of innovations 50,57,58 .”
Tipping elements and climate–economic shocks: Pathways toward integrated assessment (2016, methodology): “Wilson (2012), The energy technology innovation system, Annual Review of Environment and Resources, 37, 137–162, doi:10.”
A Review of Criticisms of Integrated Assessment Models and Proposed Approaches to Address These, through the Lens of BECCS (2019, background): “Certain IAMs have a sophisticated representation of innovation deriving from both R&D and deployment-related learning, and some IAM teams are working with innovation scholars to think through the scaling-up dynamics of technology deployment [53] as well as the limiting institutional and financial co”
Negative emissions—Part 3: Innovation and upscaling (2018, background): “The historical evidence consistently finds that innovations can take decades to be scaled up (Wilson 2012) and widely adopted (Grubler et al 2016), even if examples of rapid transitions exist (Sovacool 2016).”