Table 6. Comparative analysis of data quality

Guideline Data Requirement
Data representativeness Data completeness Data collection (database) Uncertainty analysis Data quality
NETL CO2U LCA Guidance Technology, geographical, temporal 99% Cut-off criteria based on mass, energy, environmental significance NETL CO2U openLCA LCI DB Mandatory sensitivity analysis Qualitative
45Q Addendum Technology, geographical, temporal Completeness shall be demonstrated by the inclusion of at least 99% of the carbon inputs and outputs Document data sources, representativeness, and limitations Uncertainty analysis is not required -
LCA4CCU Guideline Background data quality documented (age, technology, quality, consistency) Company/technology specific data needed (no benchmarks) Identify CCU data gaps, Ensure soft-ware independent format Ensure transparency, Report uncertainties using quantitative and qualitative methods -
GCI TEA/LCA Guideline Technology, geographical, temporal The desired level of completeness and applied cut-off criteria shall be clearly described. Document data sources, representativeness, and limitations Basic approach using sensitivity analysis and scenario analysis required, intermediate approach using uncertainty analysis) recommended TRL, Scenario-based qualitative analysis
Domestic LCA Guideline for CCU Technology, geographical, temporal 95% Cut-off criteria Data sources shall be categorized as measured, calculated, estimated, or guessed Uncertainty analysis recommended Quality grade (A~C grade)