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1 AirWare : urban and industrial air quality assessment and management Release R5.3 beta DDr. Kurt Fedra Environmental Software & Services GmbH A-2352.

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Presentation on theme: "1 AirWare : urban and industrial air quality assessment and management Release R5.3 beta DDr. Kurt Fedra Environmental Software & Services GmbH A-2352."— Presentation transcript:

1 1 AirWare : urban and industrial air quality assessment and management Release R5.3 beta DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA

2 2 Update Release R5.3 Emission data and modelling: Emission inventories –Editing, analysis, matrices, export Emission scenarios –Editing, analysis, matrices, export Emission modelling: –Estimation methods –Dynamic patterns Emission data and modelling: Emission inventories –Editing, analysis, matrices, export Emission scenarios –Editing, analysis, matrices, export Emission modelling: –Estimation methods –Dynamic patterns

3 3 Emission inventories Organised by: Source type –Industrial plants –Boilers and stacks –Small point sources –Area sources –Line sources Geographical domain Organised by: Source type –Industrial plants –Boilers and stacks –Small point sources –Area sources –Line sources Geographical domain

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5 5 Emission inventories Industrial plants: Name, meta data, (owner, creation and modification dates, contact, documents) Location (map) and description (HTML) Attributes: –Start/end of operation, No.of stacks, power rating, volumetric flow, mass flux; –Emissions (total) –Boilers (emissions, TS, patterns) Industrial plants: Name, meta data, (owner, creation and modification dates, contact, documents) Location (map) and description (HTML) Attributes: –Start/end of operation, No.of stacks, power rating, volumetric flow, mass flux; –Emissions (total) –Boilers (emissions, TS, patterns)

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8 8 Contact and administrative data Optional for emission sources: Contact address Owner/operator profile/details Contact person and data Chronological log of contacts (e.g., permits, inspections, modifications, etc.) Optional documents link (PDF, doc, PS, HTML) Optional for emission sources: Contact address Owner/operator profile/details Contact person and data Chronological log of contacts (e.g., permits, inspections, modifications, etc.) Optional documents link (PDF, doc, PS, HTML)

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10 10 Boilers and stacks: Name and meta data, contact, documents, MS location tool; Map and description Attributes: –Stack parameters, technology, fuel/consumption, status Emission data: –Totals by substance, NO/NO2 ratio –Emission time series (optional) –Emission pattern –Emission factors Name and meta data, contact, documents, MS location tool; Map and description Attributes: –Stack parameters, technology, fuel/consumption, status Emission data: –Totals by substance, NO/NO2 ratio –Emission time series (optional) –Emission pattern –Emission factors

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12 12 Emission inventories Small point sources (stacks) Selection from sorted lists by: Name Type (user defined) Emissions (user selected substance) From the map (under development, requires zooming R5.4) Small point sources (stacks) Selection from sorted lists by: Name Type (user defined) Emissions (user selected substance) From the map (under development, requires zooming R5.4)

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14 14 Emission inventories Small point sources (stacks) Name and meta data, description (optional) documents, monitoring station location Attribute list (user defined, e.g., symbolic location, construction year. Classification, status, stack parameters); Emission data –By substance, NO/NO2 ratio –Emission pattern –Emission factors Small point sources (stacks) Name and meta data, description (optional) documents, monitoring station location Attribute list (user defined, e.g., symbolic location, construction year. Classification, status, stack parameters); Emission data –By substance, NO/NO2 ratio –Emission pattern –Emission factors

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16 16 Emission inventories Small point sources (stacks) Location: Selection of background map from the map catalogue Positioning (coordinates or on the map) Definition of zooming (area around the source shown) Small point sources (stacks) Location: Selection of background map from the map catalogue Positioning (coordinates or on the map) Definition of zooming (area around the source shown)

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18 18 Emission inventories Area sources Name and meta data, contact, documents, geometry (polygon) import Attributes: –Location, classification, –fuel/consumption, area, emission height Emission data: –Substance specific rates, No/NO2 ratio –Emission pattern –Emission factors Area sources Name and meta data, contact, documents, geometry (polygon) import Attributes: –Location, classification, –fuel/consumption, area, emission height Emission data: –Substance specific rates, No/NO2 ratio –Emission pattern –Emission factors

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21 21 Emission inventories Line sources: Name and meta data, geometry import (poly-line), near-field model (event) Attributes: –Symbolic location, status, classification –Main vehicle categories (passenger cars, LDV, HDV, busses, and total frequency Fleet composition (optional) Line sources: Name and meta data, geometry import (poly-line), near-field model (event) Attributes: –Symbolic location, status, classification –Main vehicle categories (passenger cars, LDV, HDV, busses, and total frequency Fleet composition (optional)

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24 24 Inventories by domain: Compiles all sources with any user defined rectangular area, defined as a domain object in the data base; Summary statistics can be recomputed after editing Domain specific inventories can be displayed and exported as matrices (CSV format) Compiles all sources with any user defined rectangular area, defined as a domain object in the data base; Summary statistics can be recomputed after editing Domain specific inventories can be displayed and exported as matrices (CSV format)

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27 27 Emission scenarios Part of model scenarios that define: A model and substance A geographical domain A date or period Emission scenarios: Include hypothetical sources Multipliers for source classes Toggle individual sources on/off Part of model scenarios that define: A model and substance A geographical domain A date or period Emission scenarios: Include hypothetical sources Multipliers for source classes Toggle individual sources on/off

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33 33 Emission modelling Emission estimates: All estimated values are marked with * NO/NO2/NOx and NO/NO2 ratio Indirect estimates: –From fuel type and fuel consumption –From traffic frequency, fleet composition, vehicle type/speed dependent emission rates, cold start fraction and correction –All categories user defined ! Emission estimates: All estimated values are marked with * NO/NO2/NOx and NO/NO2 ratio Indirect estimates: –From fuel type and fuel consumption –From traffic frequency, fleet composition, vehicle type/speed dependent emission rates, cold start fraction and correction –All categories user defined !

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36 36 Emission modelling Emission estimates: Emission factors for any user defined activity (default: fuel consumption) and substance combination (uses a linear function of activity level) piecewise linear extension R5.4 Emission estimates: Emission factors for any user defined activity (default: fuel consumption) and substance combination (uses a linear function of activity level) piecewise linear extension R5.4

37 37 Emission modelling Temporal patterns: Associated with classes/types or individual sources; Specify multipliers of the long-term annual average emission by Month (12) Day of the week (7) Hour of the day (24) To generate a dynamic emission estimate for every hour of the year Temporal patterns: Associated with classes/types or individual sources; Specify multipliers of the long-term annual average emission by Month (12) Day of the week (7) Hour of the day (24) To generate a dynamic emission estimate for every hour of the year

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