Carbon Credits (Carbon Farming Initiative—Industrial and Commercial Emissions Reduction) Methodology Determination 2021
35Minimum statistical requirements for engineering baseline emissions models
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35 Minimum statistical requirements for engineering baseline emissions models
An engineering baseline emissions model for an implementation must estimate baseline emissions in the baseline measurement period for the implementation with:
(a) a normalised mean bias error within:
(i) for data with measurement time intervals that are monthly or longer—±5%; or
(ii) for data with measurement time intervals that are less than a month and more than a day—±8%; or
(iii) for data with measurement time intervals that daily or are between a day and an hour—±12%; or
(iv) for data with measurement time intervals of an hour or less—±15%; and
(b) a coefficient of variation of the root mean square error (Cv RMSE) up to:
(i) for data with measurement time intervals that are monthly or longer—15%; or
(ii) for data with measurement time intervals that are less than a month and more than a day—20%; or
(iii) for data with measurement time intervals that daily or are between a day and an hour—25%; or
(iv) for data with measurement time intervals of an hour or less—30%.