Integrating risk and scalability to overcome the 'Valley of Death' in cleantech

Decarbonization requires the large-scale adoption of emerging technologies that are still in early development stages and not yet commercially competitive. Early-stage technologies (TRL 3-7) are often marked by high uncertainty and a lack of reliable data, which hinders investment and slows progress. Existing assessment models can estimate potential effectively but tend to overlook development risks, contributing to the ‘Valley of Death’ (Fig. 1). To address this challenge, the actors involved in the innovation process need tools that are quantitative, practical, and realistic. This research introduces an integrated framework for the assessment of emerging technologies, combining techno-economic and environmental indicators with the evaluation of technology risk and scalability. The framework is structured around three categories (Fig. 2): Technology Risk, which captures uncertainties related to maturity and manufacturability; Scalability, which assesses the ease of deployment; and Technology Potential, which estimates long-term performances. The framework is applied to seven case studies involving thin-film solar modules and phospho-olivine cathodes for lithium-ion batteries. Results are compared with real-world outcomes, showing that including risk and scalability leads to more accurate and informative assessments (Fig. 3). <br/>As a next step, a fully quantitative modeling of the framework is proposed through the concept of engineering-constrained learning curve (Fig. 4), in which Technology Risk is initially high, Unit Cost represents the techno-economic-environmental potential, and the Learning Rate depends on Scalability. Cfloor represents the engineering limit of the specific technological design under analysis and is a function of material costs, production process limitations, and technological performance.