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DISPER:

DISPER

Solutions

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Order & price

Data I

Data II

Data III

Data IV

Average

Import

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Algorithms I

Algorithms II

Algorithms III

Algorithms IV

Algorithms V

Emissions

Graphs I

Graphs II

Pollutants I

Pollutants II

Google maps

Models and GIS

Odor

Flare stacks

3D and 2D

 

 

DISPER Software · vehicle emission modeling

                                     

Applications 1: air pollution modeling software · flare stacks · odor units · air dispersion models · environmental GIS · environmental reports · indoor air quality · environmental health · environmental risk assessment · stack testing · atmospheric pollution · air modeling · gas dispersion 

 

Air quality indexes

   The World Health Organization, Federal and Germany air quality indexes have the next upper limits:

Pollutant

Period

Federal

WHO

Ta Luft (Germany)

CO

15 min

30 min

1 h

8 h

 

 

40.000 ug/m3

10.000 ug/m3

100.000 ug/m3

60.000 ug/m3

30.000 ug/m3

10.000 ug/m3

 

 

30.000 ug/m3

10.000 ug/m3

NO2

1 h

24 h

annual

 

 

100 ug/m3

400 ug/m3

150 ug/m3

200 ug/m3

80 ug/m3

O3

1 h

24 h

100 days

235 ug/m3

200 ug/m3

65 ug/m3

60 ug/m3

 

SO2

10 min

1 h

3 h

24 h

annual

 

 

1.300 ug/m3

365 ug/m3

80 ug/m3

500 ug/m3

350 ug/m3

 

125 ug/m3

40 – 60 ug/m3

 

 

400 ug/m3

140 ug/m3

60 ug/m3

PM-10

24 h

anual

150 ug/m3

50 ug/m3

125 ug/m3

50 ug/m3

150–300 ug/m3

SO2+PM-10

annual

 

60 – 90 ug/m3

 

Pb

3 months

anual

1,5 ug/m3

 

0,5 – 1 ug/m3

 

2 ug/m3

PM + PM-10

24 h

annual

260 ug/m3

75 ug/m3

 

 

Hydrocarbons

3 h

160 ug/m3

 

 

 

Pollutant emissions

In this section, we will show typical emission values that can be used as input data in the DISPER software:

Typical coal boiler emissions:

Coal boiler power

Coal kg per second (kg/s)

SOx

NOx

CO

100 MW

3,3 g/s

201 g/s

48 g/s

0,8 g/s

500 MW

16,5 g/s

1.005 g/s

240 g/s

4 g/s

1.000 MW

33 g/s

2.010 g/s

480 g/s

8 g/s

1.500 MW

49,7 g/s

3.023 g/s

721 g/s

12,4 g/s

2.000 MW

66 g/s

4.020 g/s

960 g/s

16 g/s

Typical fuel oil boiler emissions:

Boiler power

Fuel oil liters per second (L/s)

SO2

NOx

CO

50 MW

1,2 g/s

72 g/s

6,7 g/s

0,7 g/s

100 MW

2,4 g/s

144 g/s

13,4 g/s

1,4 g/s

150 MW

3,6 g/s

210 g/s

20,2 g/s

2,1 g/s

200 MW

4,8 g/s

280 g/s

26,8 g/s

2,8 g/s

300 MW

7,2 g/s

432 g/s

40,2 g/s

4,2 g/s

Typical butane boiler emissions:

Boiler power

Liters of butane per second (L/s)

SOx

NOx

CO

3 MW

0,11 g/s

0,0079 g/s

0,28 g/s

0,047 g/s

10 MW

0,37 g/s

0,027 g/s

0,93 g/s

0,159 g/s

20 MW

0,74 g/s

0,053 g/s

1,86 g/s

0,32 g/s

30 MW

1,1 g/s

0,079 g/s

2,77 g/s

0,47 g/s

Typical road emision:

Number of vehicles per hour

CO (g/ms)

NOx (g/ms)

CxHy (g/ms)

100

0,00028

0,00009

0,000028

1.000

0,0028

0,0009

0,00028

5.000

0,014

0,0042

0,0014

10.000

0,028

0,009

0,0028

50.000

0,135

0,042

0,0135

100.000

0,28

0,09

0,028

Number of vehicles per day

CO (g/ms)

NOx (g/ms)

CxHy (g/ms)

1.000

0,000116

 0,0000375

0,0000116

5.000

0,00058

 0,00019

0,000058

10.000

0,00116

0,000375

0,000116

50.000

0,0058

0,0019

0,00058

100.000

0,0116

0,00375

0,00116

 

 

Pollution map (XZ-Plane) produced by continuous discharge in this region. The fucshia lines represents a stack (position of the point sources) in a XZ-Plane. The red colour represents high pollutant concentrations. The green colour represents the ground and the surface topography.

 

 

 

            (noise)            (water)          (electrosmog)        

 

 

 

vehicle emission modeling

 

                                                                               

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