Informed investments in clean energy technologies
Jessika E. Trancik (Massachusetts Institute of Technology, Santa Fe Institute)
Erin Baker (University of Massachusetts Amherst)
Gregory Nemet (University of Wisconsin-Madison)
Magdalena M. Klemun (Johns Hopkins University, Massachusetts Institute of Technology)
Rebecca J. Hanes (National Renewable Energy Laboratory)
Kavita Surana (Complexity Science Hub Vienna, University of Maryland, WU Wien)
Doug Arent (National Renewable Energy Laboratory)
Samuel F. Baldwin (Independent researcher)
Giacomo Marangoni (RFF-CMCC European Institute on Economics and the Environment, TU Delft - Policy Analysis)
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Abstract
Governments and companies face consequential decisions about allocating resources to the research, development, demonstration and deployment of energy technologies to meet environmental, economic and social goals. Here we discuss how research insights can inform and potentially improve these decisions to make effective use of limited resources and time in shaping the next-generation energy infrastructure. We outline three key research steps: forecasting technological change, relating investments to economic, social and environmental outcomes and informing decision-making processes. We recommend advances to address uncertainty as well as to make methods and results more practicable, emphasizing the importance of model validation, streamlining and interactivity. Progress has been made, yet further work is needed—for example, in the development of reduced-order, testable models and more comprehensive data collection. Overall, this research is beginning to inform decisions but could be adopted more widely by governments and the private sector to help support technological progress for energy affordability, equitable climate change mitigation, health benefits and other objectives.
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File under embargo until 24-05-2026