ANNEX VIII

The mean values included here represent a weighted average of the individually modelled feedstock values. The range included here reflects 90 % of the results using the fifth and ninety-fifth percentile values resulting from the analysis. The fifth percentile suggests a value below which 5 % of the observations were found (namely, 5 % of total data used showed results below 8, 4, and 33 g CO_(2)eq/MJ). The ninety-fifth percentile suggests a value below which 95 % of the observations were found (namely, 5 % of total data used showed results above 16, 17, and 66 g CO_(2)eq/MJ). Feedstock group Mean Interpercentile range derived from the sensitivity analysis Cereals and other starch-rich crops 12 8 to 16 Sugars 13 4 to 17 Oil crops 55 33 to 66 Biofuels, bioliquids and biomass fuels produced from the following feedstock categories will be considered to have estimated indirect land-use change emissions of zero: feedstocks which are not listed under part A of this Annex. feedstocks, the production of which has led to direct land-use change, namely, a change from one of the following IPCC land cover categories: forest land, grassland, wetlands, settlements, or other land, to cropland or perennial cropland Perennial crops are defined as multi-annual crops, the stem of which is usually not annually harvested such as short rotation coppice and oil palm. . In such a case a direct land-use change emission value (e_(l)) should have been calculated in accordance with point 7 of part C of Annex V.

← anx_VII__cpt_1__item_3__text_2 · All articles · PART A. PROVISIONAL ESTIMATED INDIRECT LAND-USE CHANGE EMISSIONS FROM BIOFUEL, BIOLIQUID AND BIOMASS FUEL FEEDSTOCK (g CO_(2)eq/MJ) The mean values reported here represent a weighted average of the individually modelled feedstock values. The magnitude of the values in the Annex is sensitive to the range of assumptions (such as treatment of co-products, yield developments, carbon stocks and displacement of other commodities) used in the economic models developed for their estimation. Although it is therefore not possible to fully characterise the uncertainty range associated with such estimates, a sensitivity analysis conducted on the results based on a random variation of key parameters, a so-called Monte Carlo analysis, was conducted. →

Source: EUR-Lex (Cellar) · retrieved 2026-10-28 · Text as adopted (Official Journal); later amendments are not incorporated in this text.