A review of methods to analyze technological change in industry

被引:0
|
作者
Toribio-Ramirez, D. A. [1 ,2 ]
van der Zwaan, B. C. C. [1 ,2 ,3 ]
Detz, R. J. [1 ]
Faaij, A. [1 ,4 ]
机构
[1] TNO Energy & Mat Transit, Amsterdam, Netherlands
[2] Univ Amsterdam, Fac Sci HIMS, Amsterdam, Netherlands
[3] Johns Hopkins Univ, Sch Adv Int Studies SAIS, Bologna, Italy
[4] Univ Utrecht, Copernicus Inst Sustainable Dev & Innovat, Dept Sci Technol & Soc, NL-3584 CH Utrecht, Netherlands
来源
RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2025年 / 212卷
关键词
Learning curve; Technological change; Low-carbon technologies; Industry; LEARNING-CURVE; ENERGY TECHNOLOGIES; EXPERIENCE CURVES; INNOVATION SYSTEMS; FORMATIVE PHASES; COST REDUCTION; POWER-PLANTS; FUTURE COST; RATES; PERFORMANCE;
D O I
10.1016/j.rser.2024.115310
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
There is an urgency to accelerate the innovation, development, and deployment of low-carbon industrial processes. Reviewing existing insights into how to achieve rapid technological change may be useful to assist this acceleration. Literature offers a set of approaches to model learning-by-doing and cost reductions, such as the learning curve methodology. However, it is debated if it can accurately describe and project cost reductions for low-carbon industrial processes. The goal of this work is threefold. First, to give more insight into what factors may explain the speed of innovation and technological change of low-carbon energy technologies. Second, to review existing approaches to model innovation and technological change of energy technologies and industrial processes. Third, to devise a framework to study technological learning of industrial processes. This work presents three main outcomes. First, we report more than 30 barriers and drivers of technological change. Second, we present a list of learning curve models and complementary methodologies to represent and/or explain these barriers and drivers. Third, we propose a framework to model technological learning of low-carbon industrial processes.
引用
收藏
页数:18
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