Understanding the reductions in US corn ethanol production costs: an experience curve approach

By W. Hettinga, H. Junginger, Stefan C. Dekker, M. Hoogwijk, A. Mcaloon, K. Hicks. 2009

200 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/eed675fc59e764f30d9ef2f409bf3748c3b4f443

How researchers see this paper

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

In Biomedical Engineering

1. Christine Crago
2. Madhu Khanna

In Environmental Engineering

1. Christine Crago
2. Sonia Yeh
3. Madhu Khanna
4. Edward S. Rubin
5. S. Samadi

In Renewable Energy, Sustainability and the Environment

1. Christine Crago
2. Sonia Yeh
3. Madhu Khanna
4. Edward S. Rubin
5. S. Samadi

Citations in the corpus

• A review of uncertainties in technology experience curves (2012, background): “Other recent studies also show significant deviation from linearity at the beginning of a learning curve, where much lower learning rates were observed (Goldemberg et al., 2004; Hettinga et al., 2009).”
• The experience curve theory and its application in the field of electricity generation technologies – A literature review (2018, background): “For biomass feedstock (not shown in Table A-5), learning rates of about 10% to 45% have been found in the literature [23,100,101].”
• Competitiveness of Brazilian sugarcane ethanol compared to US corn ethanol (2010, methodology): “Hettinga et al. (2009) used an experience curve approach to look at the change in the production cost of dry-grind ethanol in the US from 1980-2005 and reported production costs of US$0.31 – 0.32 per liter corn ethanol in 2005.”