Chapter 2 - The experience curve: concept, history, methods, and issues

Atse Louwen; Juliana Subtil Lacerda

doi:10.1016/B978-0-12-818762-3.00002-9

Chapter 2 - The experience curve: concept, history, methods, and issues

Atse Louwen, Juliana Subtil Lacerda

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

The experience curve is a tool that has a long history and has been broadly applied to a large selection of technologies over almost a century. Building on knowledge of learning processes, such as learning-by-doing, learning-by-searching, and upscaling, it represents technological progress and the resulting decline in technology cost in a simple mathematical form. In this chapter, we discuss the history and origins of the experience curve concept and deliberate on data collection and estimation of experience-curve parameters. Subsequently, we show some main applications of experience curves and discuss key issues that are linked to experience curves.

Original language	English
Title of host publication	Technological Learning in the Transition to a Low-Carbon Energy System
Editors	Martin Junginger, Atse Louwen
Publisher	Academic Press
Chapter	2
Pages	9-31
Number of pages	23
ISBN (Print)	978-0-12-818762-3
DOIs	https://doi.org/10.1016/B978-0-12-818762-3.00002-9
Publication status	Published - 2019

Keywords

Technological learning
experience curve
learning curve
learning-by-doing
learning-by-searching
one-factor experience curve
two-factor experience curve
multifactor experience curve

Access to Document

10.1016/B978-0-12-818762-3.00002-9

3-s2.0-B9780128187623000029-mainFinal published version, 645 KBLicence: Taverne

http://www.sciencedirect.com/science/article/pii/B9780128187623000029

Cite this

@inbook{0581488f3e73486f9a69a409f103c053,

title = "Chapter 2 - The experience curve: concept, history, methods, and issues",

abstract = "The experience curve is a tool that has a long history and has been broadly applied to a large selection of technologies over almost a century. Building on knowledge of learning processes, such as learning-by-doing, learning-by-searching, and upscaling, it represents technological progress and the resulting decline in technology cost in a simple mathematical form. In this chapter, we discuss the history and origins of the experience curve concept and deliberate on data collection and estimation of experience-curve parameters. Subsequently, we show some main applications of experience curves and discuss key issues that are linked to experience curves.",

keywords = "Technological learning, experience curve, learning curve, learning-by-doing, learning-by-searching, one-factor experience curve, two-factor experience curve, multifactor experience curve",

author = "Atse Louwen and Lacerda, {Juliana Subtil}",

year = "2019",

doi = "10.1016/B978-0-12-818762-3.00002-9",

language = "English",

isbn = "978-0-12-818762-3",

pages = "9--31",

editor = "Martin Junginger and Atse Louwen",

booktitle = "Technological Learning in the Transition to a Low-Carbon Energy System",

publisher = "Academic Press",

address = "United States",

}

TY - CHAP

T1 - Chapter 2 - The experience curve: concept, history, methods, and issues

AU - Louwen, Atse

AU - Lacerda, Juliana Subtil

PY - 2019

Y1 - 2019

N2 - The experience curve is a tool that has a long history and has been broadly applied to a large selection of technologies over almost a century. Building on knowledge of learning processes, such as learning-by-doing, learning-by-searching, and upscaling, it represents technological progress and the resulting decline in technology cost in a simple mathematical form. In this chapter, we discuss the history and origins of the experience curve concept and deliberate on data collection and estimation of experience-curve parameters. Subsequently, we show some main applications of experience curves and discuss key issues that are linked to experience curves.

AB - The experience curve is a tool that has a long history and has been broadly applied to a large selection of technologies over almost a century. Building on knowledge of learning processes, such as learning-by-doing, learning-by-searching, and upscaling, it represents technological progress and the resulting decline in technology cost in a simple mathematical form. In this chapter, we discuss the history and origins of the experience curve concept and deliberate on data collection and estimation of experience-curve parameters. Subsequently, we show some main applications of experience curves and discuss key issues that are linked to experience curves.

KW - Technological learning

KW - experience curve

KW - learning curve

KW - learning-by-doing

KW - learning-by-searching

KW - one-factor experience curve

KW - two-factor experience curve

KW - multifactor experience curve

U2 - 10.1016/B978-0-12-818762-3.00002-9

DO - 10.1016/B978-0-12-818762-3.00002-9

M3 - Chapter

SN - 978-0-12-818762-3

SP - 9

EP - 31

BT - Technological Learning in the Transition to a Low-Carbon Energy System

A2 - Junginger, Martin

A2 - Louwen, Atse

PB - Academic Press

ER -

Chapter 2 - The experience curve: concept, history, methods, and issues

Abstract

Keywords

Access to Document

Fingerprint

Cite this