Technological Learning in the Energy Sector
By M. Junginger, W. van Sark, André P. C. Faaij. 2008
124 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/0d1de9f0f89125869bb593489179c921d0f99eee
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Reinhard Madlener
- M. Junginger
- R. Lohwasser
- Evelina Trutnevyte
- Ottmar Edenhofer
- Daniel Stetter
- D. P. Vuuren
- D. V. van Vuuren
In Renewable Energy, Sustainability and the Environment
- Gunnar Luderer
- Reinhard Madlener
- Ottmar Edenhofer
- R. Pietzcker
- R. Lohwasser
- Nico Bauer
- D. V. van Vuuren
- D. P. Vuuren
Citations in the corpus
- Assessment of the technological development and economic potential of photobioreactors (2009, background): “4 Cf. Junginger et al., 2006, p.4036 5 Cf. Erdmann and Zweifel, 2008, p.223 6 Cf. Junginger et al., 2008, p.86 In the case of gaseous energy carriers, comparable with natural gas via pipelines, one may assume costs of about 30 $ per ton of oil equivalent (toe) and 1000 km in the case of liquid…”
- Competition between biofuels: Modeling technological learning and cost reductions over time (2010, background): “Many describe the complete energy system either with a technical ‘bottom–up’ (systems engineering) approach or with a macro-economic ‘top–down’ approach [4].”
- Relating R&D and Investment Policies to CCS Market Diffusion Through Two-Factor Learning (2013, background): “…have found empirical evidence for this relationship, known as the ’’learning curve’’, across different industries (BCG, 1968; Dutton and Thomas, 1984; Argote and Epple, 1990) and also specifically for power-generation technologies (McDonald and Schrattenholzer, 2001; Junginger et al., 2010).”
- Societal Transformations in Models for Energy and Climate Policy: The Ambitious Next Step (2019, background): “Technological learning hypothesizes that the effort to expand technology’s capacity depends on experience gathered in the past by a social group, such as a country.(71) Despite being a complex societal concept, experience curves have been estimated empirically and integrated in models.”
- Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power ☆ (2014, methodology): “Data was collected from [2], [22], [25], [32], [77], [78], [82]–[93], with mapping of sources to individual data points presented in the supplementary information SI1”
- On the economics of renewable energy sources (2013, background): “In fact, there is some empirical evidence that learning-by-doing is the process underlying reductions in specific investment costs, which can be observed with increasing installed capacities (Neij, 2008; Junginger et al., 2010).”
- The political logics of clean energy transitions (2018, background): “That is, they identify key policies for stimulating clean 33 Junginger et al. (2010).”