Transitioning to clean energy transportation services: Life-cycle cost analysis for vehicle fleets

Comello, Stephen; Glenk, Gunther; Reichelstein, Stefan

doi:10.1016/j.apenergy.2020.116408

Cited by 34 publications

(16 citation statements)

References 33 publications

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Section: Discussionmentioning

confidence: 99%

“…In the transportation sector, inexpensive batteries are key to the electrification of road vehicles, as batteries currently account for about 35% of the sales price of an electric vehicle (BNEF 2019 a; Comello et al. 2021 ). With recent advances in battery technology, deployments of lithium-ion (Li-ion) batteries have grown rapidly in both stationary and mobile applications.…”

Section: Dynamics Of System Pricesmentioning

confidence: 99%

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Cost Dynamics of Clean Energy Technologies

Glenk

Meier

Reichelstein

2021

Schmalenbach J Bus Res

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The pace of the global decarbonization process is widely believed to hinge on the rate of cost improvements for clean energy technologies, in particular renewable power and energy storage. This paper adopts the classical learning-by-doing framework of Wright (1936), which predicts that cost will fall as a function of the cumulative volume of past deployments. We first examine the learning curves for solar photovoltaic modules, wind turbines and electrolyzers. These estimates then become the basis for estimating the dynamics of the life-cycle cost of generating the corresponding clean energy, i.e., electricity from solar and wind power as well as hydrogen. Our calculations point to significant and sustained learning curves, which, in some contexts, predict a much more rapid cost decline than suggested by the traditional 80% learning curve. Finally, we argue that the observed learning curves for individual clean energy technologies reinforce each other in advancing the transition to a decarbonized energy economy.

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Section: Discussionmentioning

confidence: 99%

Section: Dynamics Of System Pricesmentioning

confidence: 99%

Cost Dynamics of Clean Energy Technologies

Glenk

Meier

Reichelstein

2021

Schmalenbach J Bus Res

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“…For instance, the anticipated future learning effects for both renewable energy and lithium ion battery packs have a compounding effect in terms of the levelized cost per mile driven for battery electric vehicles (Comello et al, 2021). Similarly, as illustrated in Figure 10, the cost of green hydrogen obtained through electrolysis will be pushed down not only by lower electrolyzer prices but also by cheaper renewable energy feeding the electrolysis process.…”

Section: Discussionmentioning

confidence: 99%

“…Battery storage, in particular, has enormous application potential in the transition towards a decarbonized energy economy. In the transportation sector, inexpensive batteries are key to the electrification of road vehicles, as batteries currently account for about 35% of the sales price of an electric vehicle (BNEF, 2019a;Comello et al, 2021). With recent advances in battery technology, deployments of lithium-ion (Li-ion) batteries have become prominent in both stationary and mobile applications.…”

Section: Battery Packsmentioning

confidence: 99%

Clean Energy Technologies: Dynamics of Cost and Price

2021

Self Cite

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The rapid transition to a decarbonized energy economy is widely believed to hinge on the rate of cost improvements for certain clean energy technologies, in particular renewable power and energy storage. This paper adopts the classical learning-by-doing framework of Wright (1936), which predicts cost (price) to fall as a function of the cumulative volume of past deployments. We examine the learning rates for key clean energy system components (e.g., solar photovoltaic modules) and the life-cycle cost of generating clean energy (e.g., wind energy and hydrogen obtained through electrolysis). Our calculations point to significant and sustained learning rates, which, in some contexts, are much faster than the traditional 20% learning rate observed in other industries. Finally, we argue that the observed learning rates for individual technologies reinforce each other in advancing the transition to a decarbonized energy economy.

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“…It measures the unit costs of delivering comparable transportation services. 10 The costs are the life-cycle costs that include costs of owning and operating the vehicles (Comello et al, 2021). This measurement is commonly used in the literature.…”

Section: Transportation Sectormentioning

confidence: 99%

Do Investments in Clean Technologies Reduce Production Costs? Insights from the Literature

Timilsina¹,

Malla²

2021

Policy Research Working Papers

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Transitioning to clean energy transportation services: Life-cycle cost analysis for vehicle fleets

Cited by 34 publications

References 33 publications

Cost Dynamics of Clean Energy Technologies

Cost Dynamics of Clean Energy Technologies

Clean Energy Technologies: Dynamics of Cost and Price

Do Investments in Clean Technologies Reduce Production Costs? Insights from the Literature

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