Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs. (August 2017)
- Record Type:
- Journal Article
- Title:
- Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs. (August 2017)
- Main Title:
- Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs
- Authors:
- Wei, Max
Smith, Sarah Josephine
Sohn, Michael D. - Abstract:
- Abstract: A key challenge for policy-makers is estimating future technology costs and the rate of cost reduction versus production volume. A related critical question is what role state and federal governments should have in advancing energy efficient and renewable energy technologies. We derive learning rates for six technologies (electronic ballasts, magnetic ballasts, compact fluorescent lighting, general service fluorescent lighting, stationary fuel cells, and the installed price of residential solar PV) and provide an overview and timeline of historical deployment programs, such as state and federal standards and incentive programs, for each technology. Piecewise linear regimes are observed in a range of technology experience curves, and deployment programs are found to be strongly correlated to an increase in learning rate across multiple technologies. A downward bend in the experience curve is found in 5 out of the 6 energy-related technologies presented here. In each of the five downward-bending experience curves, we believe that an increase in the learning rate can be linked to deployment programs to some degree. This work sheds light on the endogenous versus exogenous contributions to technological innovation and can inform future policy investment direction and can shed light on market transformation and technology learning behavior. Highlights: Learning rates are derived for eight energy-related technologies. Piecewise linear regimes are observed in a range ofAbstract: A key challenge for policy-makers is estimating future technology costs and the rate of cost reduction versus production volume. A related critical question is what role state and federal governments should have in advancing energy efficient and renewable energy technologies. We derive learning rates for six technologies (electronic ballasts, magnetic ballasts, compact fluorescent lighting, general service fluorescent lighting, stationary fuel cells, and the installed price of residential solar PV) and provide an overview and timeline of historical deployment programs, such as state and federal standards and incentive programs, for each technology. Piecewise linear regimes are observed in a range of technology experience curves, and deployment programs are found to be strongly correlated to an increase in learning rate across multiple technologies. A downward bend in the experience curve is found in 5 out of the 6 energy-related technologies presented here. In each of the five downward-bending experience curves, we believe that an increase in the learning rate can be linked to deployment programs to some degree. This work sheds light on the endogenous versus exogenous contributions to technological innovation and can inform future policy investment direction and can shed light on market transformation and technology learning behavior. Highlights: Learning rates are derived for eight energy-related technologies. Piecewise linear regimes are observed in a range of technology experience curves. Downward sloping experience curves are found for supply and demand technologies. Deployment programs are strongly correlated to an increase in learning rate. This highlights the impact of exogenous government sponsored deployment programs. … (more)
- Is Part Of:
- Energy policy. Volume 107(2017)
- Journal:
- Energy policy
- Issue:
- Volume 107(2017)
- Issue Display:
- Volume 107, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 107
- Issue:
- 2017
- Issue Sort Value:
- 2017-0107-2017-0000
- Page Start:
- 356
- Page End:
- 369
- Publication Date:
- 2017-08
- Subjects:
- Experience curves -- Learning rates -- Deployment programs -- Technology costs -- Technology innovation
Energy policy -- Periodicals
Politique énergétique -- Périodiques
Electronic journals
333.79 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014215 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.enpol.2017.04.035 ↗
- Languages:
- English
- ISSNs:
- 0301-4215
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.720000
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