Academic Journal

Uncertainties in Technology Experience Curves for Integrated Assessment Models

التفاصيل البيبلوغرافية
العنوان: Uncertainties in Technology Experience Curves for Integrated Assessment Models
المؤلفون: Sonia Yeh, Edward Rubin, David A. Hounshell, Margaret R. Taylor
سنة النشر: 2018
المجموعة: KiltHub Research from Carnegie Mellon University
مصطلحات موضوعية: Engineering not elsewhere classified, Public Policy, Experience curve, learning curve, learning-by-doing, uncertainties, endogenous technological change, integrated assessment models
الوصف: The phenomenon of technological learning has been observed across a wide spectrum of energy and environmental technologies. Quantitative modeling of experience curves has become an increasingly common method of representing endogenous technical change in long-term integrated assessment models used for energy and environmental policy analysis. However, many issues remain to be addressed in the use of experience curves to quantify long-term cost trends of energy technologies. This paper highlights and critically reviews some of the major sources of uncertainty and their implications to model outcomes. It draws on recent empirical literature, as well as on new data characterizing historical cost trends in the early deployment of three environmental technologies especially relevant to energy systems. Our findings indicate the need for a more thorough and systematic examination of the uncertainty of experience curve formulations on the outcomes of energy and environmental policy analyses that extend over many decades.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: https://figshare.com/articles/Uncertainties_in_Technology_Experience_Curves_for_Integrated_Assessment_Models/6073628
DOI: 10.1184/r1/6073628.v1
الاتاحة: https://doi.org/10.1184/r1/6073628.v1
https://figshare.com/articles/Uncertainties_in_Technology_Experience_Curves_for_Integrated_Assessment_Models/6073628
Rights: In Copyright
رقم الانضمام: edsbas.87201A8B
قاعدة البيانات: BASE