The use of Meta-Regression Analysis to harmonize LCA literature: an application to GHG emissions of 2. and 3. generation biofuels
Creators
- 1. Arts et Metiers ParisTech, Esplanade des Arts et Metiers, 33405 Talence (France)
- 2. IFP Energies nouvelles, 1 et 4 avenue de Bois-Preau, 92852 Rueil-Malmaison (France)
- 3. Climate Economics Chair, Paris (France)
- 4. EconomiX-CNRS, University of Paris Ouest, UMR210 Economie Publique, INRA (France)
Description
This article presents the results of a literature review performs with a meta-regression analysis (MRA) that focuses on the estimates of advanced biofuel Greenhouse Gas (GHG) emissions assessed with a Life Cycle Assessment (LCA) approach. The mean GHG emissions of both second (G2) and third generation (G3) biofuels and the effects of factors influencing these estimates are identified and quantified by means of specific statistical methods. 47 LCA studies are included in the database, providing 593 estimates. Each study estimate of the database is characterized by i) technical data/characteristics, ii) author's methodological choices and iii) typology of the study under consideration. The database is composed of both the vector of these estimates - expressed in grams of CO2 equivalent per MJ of biofuel (g CO2eq/MJ) - and a matrix containing vectors of predictor variables which can be continuous or dummy variables. The former is the dependent variable while the latter corresponds to the explanatory variables of the meta-regression model. Parameters are estimated by mean of econometrics methods. Our results clearly highlight a hierarchy between G3 and G2 biofuels: life cycle GHG emissions of G3 biofuels are statistically higher than those of Ethanol which, in turn, are superior to those of BtL. Moreover, this article finds empirical support for many of the hypotheses formulated in narrative literature surveys concerning potential factors which may explain estimates variations. Finally, the MRA results are used to address the harmonization issue in the field of advanced biofuels GHG emissions thanks to the technique of benefits transfer using meta-regression models. The range of values hence obtained appears to be lower than the fossil fuel reference (about 83.8 in g CO2eq/ MJ). However, only Ethanol and BtL do comply with the GHG emission reduction thresholds for biofuels defined in both the American and European directives. (authors)
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Additional details
Identifiers
Publishing Information
- Imprint Pagination
- 74 p.
- Report number
- INIS-FR--14-0504
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 45087532
- Subject category
- S09: BIOMASS FUELS; S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- BIODIESEL FUELS; CARBON DIOXIDE; DATA BASE MANAGEMENT; ECONOMETRICS; ENVIRONMENTAL IMPACTS; ETHANOL FUELS; GREENHOUSE EFFECT; LEAST SQUARE FIT; LIFE CYCLE ASSESSMENT; PROBABILISTIC ESTIMATION; REGIONAL ANALYSIS; REGRESSION ANALYSIS; WEIGHTING FUNCTIONS
- Descriptors DEC
- ALCOHOL FUELS; ALTERNATIVE FUELS; BIOFUELS; CALCULATION METHODS; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; CLIMATIC CHANGE; ECONOMICS; FUELS; FUNCTIONS; LIQUID FUELS; MANAGEMENT; MATHEMATICAL SOLUTIONS; MATHEMATICS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; OXIDES; OXYGEN COMPOUNDS; STATISTICS; SYNTHETIC FUELS
Optional Information
- Notes
- 116 refs.; Available from the INIS Liaison Officer for France, see the 'INIS contacts' section of the INIS website for current contact and E-mail addresses: http://www.iaea.org/inis/Contacts/