通过规模放大科学加速气候技术发展

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
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摘要

避免气候变化的最坏影响取决于我们比以往任何时候都更快地扩展和部署技术的能力。扩大规模在很大程度上是工业研究和开发团队的领域,但建模和实验技术的进步越来越多地允许早期研究人员为这一过程做出贡献。在这里,我们认为对技术市场适应性的早期评估以及控制系统性能的物理特性如何随着规模的发展而发展,可以降低技术开发的风险并加速部署。我们强调了可用于在早期阶段评估这两个因素的工具和过程。通过在多学科团队中整合技术风险评估、规模化物理建模、数据分析和现场实验,可以在更短的时间内发明、开发和部署新技术,并提高成功的可能性。该观点认为,对技术市场适应性的早期评估,以及控制系统性能的物理特性如何随规模发展,可以降低技术开发的风险,并加速部署。作者强调了可用于在早期阶段评估这两个因素的工具和过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Accelerating climate technologies through the science of scale-up
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. This Perspective argues that early assessments of technology-market fit, as well as how the physics governing system performance evolves with scale, can de-risk technology development and accelerate deployment. The authors highlight tools and processes that can be used to assess both these factors at an early stage.
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