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AirWareAirWare: : urban and industrialurban and industrialair quality assessment air quality assessment and managementand managementRelease R5.3 betaRelease R5.3 beta

AirWareAirWare: : urban and industrialurban and industrialair quality assessment air quality assessment and managementand managementRelease R5.3 betaRelease R5.3 beta

DDr. Kurt FedraEnvironmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIAinfo@ess.co.at http://www.ess.co.at/AIRWARE

DDr. Kurt FedraEnvironmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIAinfo@ess.co.at http://www.ess.co.at/AIRWARE

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Update Release R5.3Update Release R5.3Update Release R5.3Update Release R5.3Emission 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

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Emission inventoriesEmission inventoriesOrganised 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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Emission inventoriesEmission inventoriesIndustrial 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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Contact and administrative dataContact 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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Boilers and stacks: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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Emission inventoriesEmission inventoriesSmall 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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Emission inventoriesEmission inventoriesSmall 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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Emission inventoriesEmission inventoriesSmall 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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Emission inventoriesEmission inventoriesArea 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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Emission inventoriesEmission inventoriesLine 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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Inventories by domain: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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Emission scenariosEmission scenariosEmission scenariosEmission scenariosPart 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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Emission modellingEmission modellingEmission modellingEmission modellingEmission 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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Emission modellingEmission modellingEmission modellingEmission modellingEmission 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

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Emission modellingEmission modellingEmission modellingEmission modellingTemporal 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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