1 / 61

POMI EMISSION INVENTORY

POMI EMISSION INVENTORY. 1. Checked the procedure followed for the preparation of the emission inventory base case. UNECE/EMEP. NAZIONAL EMISSION INVENTORY. REGIONAL EMISSION INVENTORY (INEMAR). Areal + Linear. Point sources. Area + linear + point. PROXY DB. Point. Areal. Linear.

felcia
Download Presentation

POMI EMISSION INVENTORY

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. POMI EMISSION INVENTORY

  2. 1. Checked the procedure followed for the preparation of the emission inventory base case

  3. UNECE/EMEP NAZIONAL EMISSION INVENTORY REGIONAL EMISSION INVENTORY (INEMAR) Areal + Linear Point sources Area + linear + point PROXY DB Point Areal Linear without coordinate Urban road  Italia + EMEP su griglia  nazioni confinanti Highway + Extraurban road EMISSIONI GRIGLIATE RDBMS Land use + Profiles IMPRESAREO INPUT FOR MODELERS

  4. 2. Intercomparison within regional/national PM10 emission inventory ISPRA (ex APAT)

  5. 2. Intercomparison within regional/national NOX emission inventory ISPRA (ex APAT)

  6. 2. Intercomparison within regional/national emission inventory

  7. 2. Intercomparison within POMI/national emission inventory (regions providing the complete INEMAR)

  8. 2. Intercomparison within POMI/national emission inventory

  9. 2. Intercomparison within POMI/national emission inventory - PM10

  10. 2. Intercomparison within POMI/national emission inventory - NOx

  11. 3. Which are the main sources of PM ?

  12. 3.1 Residential wood combustion? ? Activity data Emission factors • C.A.T.I. (Computer • AidedTelephone • Interview) for 18.085 families Temporal profile

  13. 3.1 Residential wood combustion?

  14. Traditional fireplace Traditional stove Close fireplace Innovative stove BAT Traditional fireplace Traditional stove BAT Close fireplace Innovative stove 3.1 Residential wood combustion? ? Activity data Emission factors Temporal profile PM PM NOx VOC INEMAR GUIDEBOOK IIASA

  15. PM Emission inventory

  16. 3.1 Residential wood combustion? Activity data Emission factors ? Temporal profile

  17. 3.2 Road transport? Fuel consumption for areal traffic Fuel sold Linear traffic Fuel consumption factors Copert IV (E.F.) Fuel used Copert IV (E.F.) Linear traffic emissions Urban traffic emissions

  18. 3.2 Road transport? Emission considering or not the gradient of the street for different vehicle load

  19. Still ongoing… • Applied a different methodology for estimating emission from road transport sectors (ARTEMIS/HBEFA) • Considering the so-called go-trough traffic • Analisi di incertezza aggiornata sui fattori di emissione COPERT IV

  20. POMI domain

  21. POMI domain

  22. POMI domain

  23. Base Case Isoprene emissions 2005cle 2005cle_nobiog

  24. Base Case Isoprene emissions • BVOC – Po valley domain • Italian emission inventory: 200 kton/y • MEGAN estimate: 700 kton/y All Biogenic Anthrop

  25. Grazie per l’attenzione!

  26. 2012 CLE REGIONAL INPUT RAINS - IT

  27. RAINS/GAINS • RAINS-Europe Model is Regional Air Pollution Information and Simulation, developed by IIASA, which has been officially used for the negotiations in the context of both the Gothenburg protocol and the 2001/81/EC Directive (NEC Directive).

  28. RAINS – IT Regional level HARMONISATION MARKAL (MARKET ALLOCATION) is model of optimization of the energy system ENERGY Based on national statistics, projections of economic activity and non-energy macro-economic factors such as GDP Industry It takes into account the existing legislation Control strategy CLE SCENARIO

  29. 2012 CLE REGIONAL INPUT RAINS - IT Harmonization • Energy • Productive Activities • Control strategies CLE Scenario

  30. 2012 CLE – Lombardy region Emission scenario - 2012 CLE (Current LEgislation) • 4 kinds of source emissions: • Diffused emission • SNAP02 – Non industrial combustion plants • Road Transport • Point sources

  31. 2012 CLE – Lombardy region Emission scenario - 2012 CLE (Current LEgislation) • 4 kinds of source emissions: • Diffused emission • SNAP02 – Non industrial combustion plants • Road Transport • Point sources Interpolation of RAINS DATA 2005-2010-2015 PAE – regional energy plan Technological scenario and fuels consumption scenario Provided by ARPA Lombardia

  32. 2012 CLE – Lombardy region

  33. 2012 CLE REGIONAL INPUT RAINS - IT Harmonization Base case • PAE –regional energy plan • Road transport trends • Rains for diffused emission • Energy • Productive Activities • Control strategies CLE Scenario CLE Scenario

  34. Emission scenario

  35. CHIMERE – EMEP – CAMx – RCG -- AURORA

  36. 2012 (CLE & AQP) REGIONAL INPUT or PLAN RAINS - IT Harmonization Base case • Energy • Productive Activities • Control strategies • PAE –regional energy plan • Road transport trends • Rains for area emission CLE Scenario CLE Scenario Air quality measures Air quality measures AQP AQP

  37. 2012 AQP – Lombardy region a. TRANSPORT TECHNOLOGICAL FUEL PUBLIC TRANSPORT POLLUTION CHARGE

  38. 2012 AQP – Lombardy region b. ENERGY EFFICIENCY RENEWABLE

  39. 2015/2020 (CLE & AQP) RAINS - IT Harmonization • Energy • Productive Activities • Control strategies CLE Scenario Air quality measures AQP

  40. As soon as possible…. • 2012 AQP • 2015 CLE • 2015 AQP • 2020 CLE • 2020 AQP • 2012 CLE (Lombardy background) ? • 2012 CLE (Po traff & Inemar 2007) ? • MFR will be realized for RIAT. It will be used for POMI too in order to guarantee the consistency POMI/RIAT (availability of their data)

  41. Thank you for your attention !

  42. 2012 AQP – Lombardy region a. TRANSPORT

  43. 2012 AQP – Lombardy region FE2012CLE • Estimation of an average emission factors for the LDV sector in 2012 - CLE scenario • Definition of the fleet composition for the year 2012

  44. 2012 AQP – Lombardy region FE2012CLE • Estimation of an average emission factors for the LDV sector in 2012 - CLE scenario • Definition of the fleet composition for the year 2012 • Definition of the vehicle mileage for each euro category in 2012

  45. 2012 AQP – Lombardy region FE2012CLE • Estimation of an average emission factors for the LDV sector in 2012 - CLE scenario • Definition of the fleet composition for the year 2012 • Definition of the vehicle mileage for each euro category in 2012 • Definition of an average emission factor for the LDV sector, weighted using mileage and vehicle number - CLE scenario

  46. 2012 AQP – Lombardy region FE2012CLE • Estimation of an average emission factors for the LDV sector in 2012 - CLE scenario • Estimation of an average emission factors for the LDV sector in 2012 - AQP scenario (all pre EURO 3 vehicles replaced by EURO V) FE2012AQP

  47. 2012 AQP – Lombardy region • Estimation of an average emission factors for the LDV sector in 2012 - CLE scenario • Estimation of an average emission factors for the LDV sector in 2012 - AQP scenario (all pre EURO 3 vehicles converted to EURO V) • Estimation of the contribution of the pre EURO 3 vehicle to the total LDV transport emission FE2012CLE FE2012AQP ELDV,<EURO3

  48. 2012 AQP – Lombardy region • Estimation of an average emission factors for the LDV sector in 2012 - CLE scenario • Estimation of an average emission factors for the LDV sector in 2012 - AQP scenario (all pre EURO 3 vehicles converted to EURO V) • Estimation of the contribution of the pre EURO 3 vehicle to the total LDV transport emission • Calculation of emission variation FE2012CLE FE2012AQP ELDV,<EURO3 ELDV, AQP = ELDV,<EURO3 *FE2012AQP/FE2012CLE

  49. 2012 AQP – Lombardy region Preliminary results

More Related