2017
DOI: 10.3390/en10122169
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Nuclear Power Learning and Deployment Rates; Disruption and Global Benefits Forgone

Abstract: This paper presents evidence of the disruption of a transition from fossil fuels to nuclear power, and finds the benefits forgone as a consequence are substantial. Learning rates are presented for nuclear power in seven countries, comprising 58% of all power reactors ever built globally. Learning rates and deployment rates changed in the late-1960s and 1970s from rapidly falling costs and accelerating deployment to rapidly rising costs and stalled deployment. Historical nuclear global capacity, electricity gen… Show more

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Cited by 13 publications
(9 citation statements)
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“…4). The bounding negative and optimistic learning rates of -23 and 24%, respectively, represent historic global conventional NPP learning pre-and post-reversal 29 . These historic rates are a combination of factory and onsite learning, which we disaggregate into separate components.…”
Section: Learning Ratesmentioning
confidence: 99%
“…4). The bounding negative and optimistic learning rates of -23 and 24%, respectively, represent historic global conventional NPP learning pre-and post-reversal 29 . These historic rates are a combination of factory and onsite learning, which we disaggregate into separate components.…”
Section: Learning Ratesmentioning
confidence: 99%
“…The studies of Lovering et al (2016) and Lang (2017) provide the overnight costs (ONC) of acclaimed 58% of the world's nuclear reactors. The findings have been extensively criticized by Koomey et al (2017), alleging they were cherry-picking data and incorporating deceptive statistics about early reactors, which cannot be verified as the data set is not accessible to readers.…”
Section: Nuclear Powermentioning
confidence: 99%
“…In contrast, the others require more site‐specific adaptations for each project, making them more expensive. Also, nuclear energy has been widely analyzed (e.g., Berthélemy & Escobar Rangel, 2015; Escobar Rangel & Leveque, 2015; Grubler, 2010; Haas et al, 2019; Lang, 2017; Lovering et al, 2016), which will be further outlined in Section 3. Additional research is conducted on storage technologies such as batteries (e.g., Beuse et al, 2020; Matteson & Williams, 2015a, 2015b; Nykvist & Nilsson, 2015) and power‐to‐gas (Ajanovic & Haas, 2019; Böhm et al, 2019), as well as hydrogen production (Schoots et al, 2008) and fuel cells (Wei et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, the overnight capital cost of MR decreases with lessons learned. The learning rate is the fraction of cost reduction per doubling the cumulative capacity/unit, with the experience gained in the production plant [37]. The relationship between lessons learned and cost reduction of technology can be expressed by the following "one-factor learning curve" equation [38]:…”
Section: Nuclear Power (Microreactor)mentioning
confidence: 99%