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Inventory Management and Archiving Swiss System/Procedures

UNFCCC Workshop on National Systems, 11-12 April 2005, Bonn. Inventory Management and Archiving Swiss System/Procedures. Paul Filliger Swiss Federal Agency for the Environment, Forests and Landscape Economics and Climate Section CH-3003 Berne (paul.filliger@buwal.admin.ch). Overview.

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Inventory Management and Archiving Swiss System/Procedures

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  1. UNFCCC Workshop on National Systems, 11-12 April 2005, Bonn Inventory Management and Archiving Swiss System/Procedures Paul Filliger Swiss Federal Agency for the Environment, Forests and Landscape Economics and Climate Section CH-3003 Berne (paul.filliger@buwal.admin.ch)

  2. Overview • Today’s inventory management system • and problems • Future inventory management system • Design, data collection, preparation, import • Emission calculation, uncertainties • Reports, History of data handling • Documentation / Archiving • Data, methods, decisions/reasons • Remaining problems / Conclusion

  3. Today‘s Inventory Management System EXCEL datasheets

  4. Internal Greenhouse Gas Files IPCC categories Energy Consump. Emission factors Emissions Comments relevant cells linked to CRF

  5. Advantage of old system • Simple and stupid, and it works Problems • System has grown to a vast, almost un-manageable size (>100 tables, thousands of links) • Modifications possible, but very error sensitive • Yearly up-date is hard work • Knowledge about structure is concentrated to the developer’s head

  6. EMIS Database Design of future Inventory Management System Expert Information Reporting Obligations UNFCCC CRF Tables Energy Transport Industry Agriculture Waste MESAP Information System UNECE/EMEP Excel Importer CalQlator Excel Analyst nationalRequire-ments ACCESS

  7. Data – Collection 1 Input derived from • Data surveys • Emission measurements • Calculations and modeling • Literature studies and assumptions Data compilation per source category

  8. Data – Collection 2 Compilation files includes • List of treated air pollutants (climate + air) • Definitions and description of model / calculation • Time series of activity data (incl. projections) • Emission factors • References

  9. Data preparation • Definition of import format • Automatic plausibility checks • Unit conversion (SI) • Documentation

  10. EMIS Database Data import in System • User Defined Data Views • Automatic import or copy/paste • User-guided plausibility checks

  11. EMIS Database Emission Calculation • Activity rate · Emission Factor • Equation editor • Visualization of calculation result

  12. Implementation of uncertainty information

  13. EMIS Database Compile Reports • MS Excel Environment • Hot-Links to Database • Shift inventory year • Data link to former database versions for recalculation

  14. History of Data handling

  15. Archiving of data • Inventory database integrated in governmental data processing system (closed environment with high security demands) • Backups and security on high standard (shadowed disks, daily backups, two different servers at two different locations, daily update of virus software etc.) • Archiving of data is not a problem

  16. Archiving/Documentation of methods • Two pillar strategy: • 1) All methods should be documented (or at least referenced) in the MESAP information systemi) through documentation in compilation filesii) through calculation procedures in the CalQlator • A comprehensive (reader friendly) overview is given in the National Inventory Report (NIR) (Annexes for details)

  17. Archiving of background information(incl. decisions/reasons) • Includes all “soft” data, which are indirectly linked to data in EMIS or NIR, e.g. - Annual reports from industry (activity data)- Reports about methods (referenced in EMIS, NIR)- Reasons of selection of methods, activity data- Documentation of decisions made during inventory preparation

  18. Remaining problems • Archiving of background information, mainly decisions / reasons • Inclusion of LULUCF data in EMISLand use change data is different in structure from emission data Conclusion Inventory preparation and production will remain a step by step improving process which will (probably) never find the final top-level product. Pragmatic, country-adapted solutions are needed.

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