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Accelerating climate technologies through the science of scale-up

  • Thomas Moore,
  • Andrew A. Wong,
  • Brian Giera,
  • Diego I. Oyarzun,
  • Aldair E. Gongora,
  • Tiras Y. Lin,
  • Wenqin Li,
  • Tracie Owens,
  • Du Nguyen,
  • Victoria M. Ehlinger,
  • Aditya Prajapati,
  • Seung Whan Chung,
  • Pratanu Roy,
  • Joshua DeOtte,
  • Nicholas R. Cross,
  • Alvina Aui,
  • Youngsoo Choi,
  • Maxwell Goldman,
  • Hui-Yun Jeong,
  • Congwang Ye,
  • Amitava Sarkar,
  • Eric B. Duoss,
  • Christopher Hahn,
  • Sarah E. Baker

摘要

Avoiding the worst effects of climate change depends on our ability to scale and deploy technologies faster than ever before. Scale-up has largely been the domain of industrial research and development teams, but advances in modeling and experimental techniques increasingly allow early-stage researchers to contribute to the process. Here we argue that early assessments of technology market fit and how the physics governing system performance evolves with scale can de-risk technology development and accelerate deployment. We highlight tools and processes that can be used to assess both these factors at an early stage. By bringing together technical risk assessments, scaled physics modeling, data analysis and in situ experimentation within multidisciplinary teams, new technologies can be invented, developed and deployed on a shorter timetable with greater probability of success.