Endogenizing R&D and Market Experience in the "Bottom-Up" Energy-Systems ERIS Model

By Leonardo Barreto, Socrates Kypreos. 2004

171 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Finance

View Paper: https://www.semanticscholar.org/paper/3155373551c2ae7ecdf8e767d4ad00873c29cff6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Sonia Yeh
2. Edward S. Rubin
3. F. van der ploeg
4. Carlo Carraro
5. Massimo Tavoni
6. Inês Lima Azevedo
7. P. Jaramillo
8. Valentina Bosetti

In Environmental Engineering

1. Patrik Söderholm
2. Edward S. Rubin
3. Sonia Yeh
4. Inês Lima Azevedo
5. P. Jaramillo
6. Valentina Bosetti
7. Tooraj Jamasb
8. Massimo Tavoni

In Finance

1. Edward S. Rubin
2. Sonia Yeh
3. T. Sundqvist
4. Patrik Söderholm
5. Tooraj Jamasb
6. Inês Lima Azevedo
7. P. Jaramillo
8. R. Duval

Citations in the corpus

• Stranded Assets in the Transition to a Carbon-Free Economy (2020, background): “Much of this rise has been driven by learning by doing or what has become known as Wright’s law (e.g. Barreto and Kypreos, 2004; Criqui, et al., 2015).”
• The Role of R&D and Technology Diffusion in Climate Change Mitigation: New Perspectives Using the Witch Model (2009, unknown): “…and modelling literature in the recent past (see, for instance, Criqui, Klassen et al. 2000; Bahn and Kypreos, 2003; Söderholm and Sundqvist, 2003; Barreto and Klaassen, 2004; Barreto and Kypreos, 2004; Klassen, Miketa et al. 2005; Kypreos, 2007; Jamasab, 2007; Söderholm and Klassen, 2007).”
• A review of learning rates for electricity supply technologies (2015, methodology): “Two-factor learning curves of the type discussed earlier also have been incorporated into large-scale energy models including MERGE (Kypreos and Bahn, 2003; Wene, 2008), ERIS (Barreto and Kypreos, 2004), POLES (Criqui et al., in press), as well as other simulation frameworks (Fischer and Newell, 200”
• A review of uncertainties in technology experience curves (2012, methodology): “Many large-scale energy-economic models, which project costs many decades into the future, have imposed long-run price floors for specific energy technologies, below which learning curve projections cannot fall (Barreto and Kypreos, 2004a; van der Zwaan et al., 2002).”
• What Should We Expect from Innovation? A Model-Based Assessment of the Environmental and Mitigation Cost Implications of Climate-Related R&D (2010, background): “…and modelling literature in the recent past (see, for instance, Criqui, Klassen et al. 2000; Bahn and Kypreos, 2003; Söderholm and Sundqvist, 2003; Barreto and Klaassen, 2004; Barreto and Kypreos, 2004; Klassen, Miketa et al. 2005; Kypreos, 2007; Jamasab, 2007; Söderholm and Klassen, 2007).”
• Experiments with a Methodology to Model the Role of R&D Expenditures in Energy Technology Learning Process (2004, unknown): “ERIS was built by Barreto and Kypreos (2003).”
• Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies (2007, background): “[5], Barreto and Kypreos [6], and the survey article by Berglund and Söderholm [7].”
• Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies (2007, background): “Also, Miketa and Schrat-tenholzer (2004) and Barreto and Kypreos (2004) have used two-factor learning curves in large scale bottom-up optimization models of energy technologies.”