Modeling Corn Ethanol and Climate
A Critical Comparison of the Bess and GREET Models
Dados Bibliográficos
| ID | 19467331 |
|---|---|
| Autores | Richard J Plevin (0000-0003-3919-0836, University of California, Berkeley, autor correspondente) |
| Ano | 2009 |
| Volume | 13 |
| Fascículo | 4 |
| Páginas | 495-507 |
| Data de publicação | 2009-08-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Journal of Industrial Ecology (JOURNAL) |
| Identificadores do periódico | ISSN: 1088-1980 • E-ISSN: 1530-9290 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1111/j.1530-9290.2009.00138.x |
| OpenAlex | W1940199675 |
| Idioma | EN |
| Citações recebidas | 9 |
| Referências citadas | 10 |
New fuel regulations based on life cycle greenhouse gas (GHG) emissions have focused renewed attention on life cycle models of biofuels. The BESS model estimates 25% lower life cycle GHG emissions for corn ethanol than does the well‐known GREET model, which raises questions about which model is more accurate. I develop a life cycle metamodel to compare the GREET and BESS models in detail and to explain why the results from these models diverge. I find two main reasons for the divergence: (1) BESS models a more efficient biorefinery than is modeled in the cases to which its results have been compared, and (2) in several instances BESS fails to properly count upstream emissions. Adjustments to BESS to account for these differences raise the estimated global warming intensity (not including land use change) of the corn ethanol pathway considered in that model from 45 to 61 g CO 2 e MJ −1 . Adjusting GREET to use BESS's biorefinery performance and coproduct credit assumptions reduces the GREET estimate from 64 to 61 g CO 2 e MJ −1 . Although this analysis explains the gap between the two models, both models would be improved with better data on corn production practices and by better treatment of agricultural inputs
Agriculture · Biofuel · Biorefinery · Climate change · Corn ethanol · Econometrics · Economics · Ethanol fuel · Greenhouse gas · Land use, land-use change and forestry · Life-cycle assessment · Waste management · Biofuel production and bioconversion · Computer Science · Energy, Environment, and Transportation Policies · Engineering · Environmental Impact and Sustainability · Environmental Science · Mathematics · Ecology
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| Obras citantes distintas | 9 |
|---|---|
| Citações por ano | 0,53 |
| Intervalo de citações | 2009 - 2016 (8) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 9 |