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Inventory Management and Archiving Swiss System/Procedures

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EXCEL. datasheets. Internal Greenhouse Gas Files. Energy. Consump. Emissions. Emission factors ... Energy. Transport. Industry. Agriculture. Waste. MESAP ... – PowerPoint PPT presentation

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Title: Inventory Management and Archiving Swiss System/Procedures


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

2
Overview
  • Todays 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
Todays 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 (gt100 tables, thousands of links)
  • Modifications possible, but very error sensitive
  • Yearly up-date is hard work
  • Knowledge about structure is concentrated to the
    developers head

6
Design of future Inventory Management System
Reporting Obligations
Expert Information
UNFCCC CRF Tables
Energy Transport Industry Agriculture
Waste
MESAP Information System
UNECE/EMEP
Excel Importer
Excel Analyst
CalQlator
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
Data import in System
  • User Defined Data Views
  • Automatic import or copy/paste
  • User-guided plausibility checks

11
Emission Calculation
  • Activity rate Emission Factor
  • Equation editor
  • Visualization of calculation result

12
Implementation of uncertainty information
13
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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