Non-methane Volatile Organic Compounds

NMVOCs are a organic compounds which may differ widely in their c hemical composition. These organic compounds are often grouped under the NMVOC label as the majority display similar behaviour in the atmosphere. NMVOCs are emitted to air as combustion products, as vapour arising from petrol and solvent use and several other sources.

Interest in NMVOC emissions has grown as their role in the photochemical production of ozone has been appreciated. The diversity of processes which emit NMVOCs is huge, covering not only many branches of industry, but also transport, agriculture and domestic sources.

The NMVOC inventory is summarised in Table 5.6. Only 34% of the NMVOC emissions arise from combustion sources (unlike SO2 and NOx where the contribution from the combustion sources is much higher). Of these emissions from combustion sources, it is the transport sector which dominates. Other major sources of NMVOC emissions are the use of solvents and production processes. Natural emissions of NMVOCs are included here as per UN/ECE guidelines (see Section 5.5.3). The NMVOC emission profile, Figure 5.10, shows a small overall increase in emissions between 1970 and 1989 with minor peaks in 1973 and 1979, followed by a steady reduction in emissions during the 1990s. The latter is largely a reflection of the increasingly stringent emission limits across a range of sectors.

Table 5.6 UK Emissions of NMVOCs by UN/ECE1 Source Category and Fuel (kt)

1970

1980

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

1999%

BY UN/ECE CATEGORY2

Comb. in Energy Prod.

Public Power

7

8

7

7

7

7

8

8

9

8

6

8

0%

Petroleum Refining Plants

1

1

1

1

1

1

1

1

1

1

1

1

0%

Other Comb. & Trans.

2

2

2

2

3

3

3

1

1

1

1

1

0%

Comb. in Comm/Inst/Res

296

132

68

71

65

64

52

40

43

40

42

46

3%

Combustion in Industry

8

7

6

6

6

6

6

6

6

7

6

7

0%

Production Processes

282

298

329

321

320

310

303

308

295

274

252

212

12%

Extr./Distrib. of Fossil Fuels

Gas Leakage

3

19

21

21

20

20

20

20

19

20

20

20

1%

Offshore Oil&Gas

7

100

147

154

143

145

170

167

180

179

157

152

9%

Gasoline Distribution

65

101

147

147

148

147

141

135

137

137

127

87

5%

Solvent Use

593

581

684

648

608

597

597

562

543

528

510

472

27%

Road Transport

Combustion

523

601

698

680

648

601

563

515

479

434

389

351

20%

Evaporation

112

159

224

221

217

202

187

172

160

147

134

121

7%

Other Trans/Mach3

79

73

66

67

68

67

66

64

65

64

64

63

4%

Waste

10

56

43

40

38

38

45

37

36

31

29

24

1%

Land Use Change

37

58

35

30

22

0

0

0

0

0

0

0

0%

Nature

178

178

178

178

178

178

178

178

178

178

178

178

10%

By FUEL TYPE

Solid

300

133

66

68

63

61

49

37

39

35

34

38

2%

Petroleum

720

836

991

970

935

872

818

753

706

647

589

537

31%

Gas

7

12

15

16

16

17

18

16

19

19

20

22

1%

Non-Fuel

1175

1393

1585

1538

1477

1437

1455

1408

1388

1348

1274

1146

66%

TOTAL

2203

2373

2657

2592

2491

2387

2340

2215

2152

2050

1917

1744

100%

1 UK emissions reported in IPCC format (Salway, 2001) differ slightly due to the different source categories used.

2 See Appendix 4 for definition of UN/ECE Categories

3 Including railways, shipping, naval vessels, military aircraft and off-road sources

Figure 5.10 NMVOC Emissions Profile

The spatial disaggregation of NMVOC emissions in the UK is shown in Figure 5.11. A large proportion of emissions are caused either as a result of the activities of people in and around their homes (e.g. domestic solvent use or domestic combustion), or by widespread industrial activities such as small-scale industrial coating processes, dry cleaning shops, and small bakeries, which are present in towns and cities throughout the UK. Consequently the resulting emissions map is well correlated with population density.

The NMVOC map includes a large number of point sources, including oil refineries, crude oil terminals, large combustion plant, chemicals manufacture, iron and steel processes, whisky manufacture, large bread bakeries, and industrial solvent using processes. The domestic sources of NMVOC are distributed using population density statistics, and the sources arising from other industrial processes are mapped using information on the size and locations of industrial installations.

Unlike the maps presented previously for SO2 and NOx, the VOC map has little major road definition except where the major roads go through rural areas. This reflects the fact that NMVOC emissions are dependent on vehicle speed and are higher on minor and urban major roads than on the high speed motorways and major roads.

Figure 5.11, Spatially Disaggregated UK Emissions of NMVOC

 

Solvent use and production processes

Solvent use and production processes are responsible for 27% and 12%, respectively, of the 1999 emission total. The estimates are derived either based on plant specific data provided by process operators or regulators or by use of appropriate emission factors combined with solvent consumption data or industrial production data. The NMVOC inventory has been subject to a continuous programme of review and improvement over the past decade (see Appendix 2 for a description of recent improvements), and estimates, especially those for the period 1988 – 1999, can be considered reasonably reliable.

The solvent use sector comprises both industrial and domestic applications, both being significant sources. Emissions from industrial solvent use reached their peak in 1973, then dipped to a low in 1982, before increasing again until 1989. Since 1989 emissions have fallen by 37% as a result of emission controls, technological changes, and reduced manufacturing output in some sectors. In comparison, domestic solvent emissions showed little trend until the mid 1980s when they increased sharply. Since 1991 however, emissions have fallen back by 20% due to a trend towards formulating products such as paints and aerosols with lower solvent contents.

The production processes sector includes emissions from the chemical industry, petroleum refining and food and drink manufacture as well as minor sources such as iron and steel production and road construction. Emissions from the chemical industry grew steadily until 1989, since when tightening emission controls have led to a reduction in emissions of 48%. The emissions from the petroleum refining sector show little trend over the period from 1970 until 1994, but since then emission controls and, latterly, refinery closures have led to emissions falling by 53% since the 1994 figure.

Emissions from the food and drink industry comprised 4.5% (78.9 ktonnes) of the total NMVOC emission in 1999. The largest source is whisky maturation although bread baking, animal feed manufacture, fat and oil processing and barley malting are also important. Emissions from the sector peaked in 1980 before falling again. Since 1987, however, emissions have been increasing by an average of 1% per year.

Transport

Total transport emissions are currently responsible for 31% of NMVOC emissions of which 27% are a result of road transport. From 1970 the emission rose gradually with increasing car numbers, to a peak in 1989. Since then it has declined substantially owing to the increased use of catalytic converters and fuel switching from petrol to diesel cars. Emissions from the road transport sector for 1999 are now substantially lower than in 1970.

Other Sectors

Offshore oil and gas emissions have increased substantially since 1970 with the growth of the UK’s offshore industry and now constitute 9% of the 1999 emissions total. The most important sources of NMVOC emissions are tanker loading, flaring and fugitive emissions.

Emissions from gas leakage currently comprise around 1% of the total NMVOC emission. This source is declining as a result of the gas main replacement programme underway since 1990. The evaporative losses from the distribution and marketing of petrol rose between 1970 and the early 1990s reflecting the growth in road transport. Since then they have decreased, partly as a result of fuel switching to diesel, and partly as a result of increasing usage of petrol vapour recovery systems to prevent emissions from petrol terminals and service stations. They currently account for 6% of national NMVOC emissions.

The contribution from domestic heating has fallen by more than a factor of 6 over the period 1970-1999 as the use of coal for domestic heating has declined. It now accounts for just 3% of the UK emission.

NMVOC emissions from waste treatment and disposal contribute 1% to national emissions. Data from the Environment Agency (2000) shows emissions from municipal waste incinerators to be very small.

NMVOCs, in particular isoprene and mono-terpenes, are emitted from several natural and agricultural sources- such as forests. The entries under Land Use Change and Nature in Table 5.6 represent emissions from forests and forestry, heathland, pastures and crops.

Speciation of NMVOCs

As mentioned previously, the term NMVOC covers a wide range of compounds and although a total NMVOC inventory is sufficient for some purposes, in other cases greater detail is required concerning the nature and concentration of individual compounds. For example, when assessing the photochemical production of ozone, individual species have different ozone creation potentials hence information is required on the concentration of individual species (QUARG, 1993). Table 5.7 shows the emissions of the 50 most important NMVOC species disaggregated as far as possible by source. A more detailed speciation of all NMVOCs estimated by the NAEI (currently over 600) is given in Appendix 6.

Table 5.7 The 50 Most Significant NMVOC Species in Terms of Mass Emission (ktonnes)

Stationary Combustion (Energy Production)

Stationary Combustion (Commercial & Residn)

Stationary Combustion (Industrial)

Production Processes

Extraction & Distribution of Fossil Fuels

Solvent Use

Road Transport

Other Transport & Machinery

Waste Treatment & Disposal

Nature (Forests)

TOTAL

butane

0.43

3.66

0.61

11.35

77.56

20.86

35.47

1.13

0.04

 

151

ethanol

 

1.29

0.27

51.86

 

44.55

   

0.47

 

98

toluene

0.11

1.37

0.13

2.33

0.49

24.62

37.87

3.01

0.27

 

70

2-methylbutane

0.09

3.41

0.23

2.45

15.68

 

46.96

1.35

0.03

 

70

pentane

0.20

6.35

0.67

6.39

26.32

 

23.88

0.67

0.03

 

65

propane

0.27

2.87

0.28

8.81

26.63

4.13

2.87

0.33

6.41

 

53

hexane

0.15

1.26

0.08

6.42

12.88

7.78

22.33

0.38

0.18

 

51

ethylene

0.17

3.34

0.58

9.19

0.17

 

28.60

4.35

   

46

ethane

0.28

5.28

0.20

4.40

21.62

 

6.69

0.53

6.41

 

45

2-methylpropane

0.05

1.30

0.01

2.78

18.89

1.00

16.34

0.54

0.01

 

41

methanol

     

1.18

 

29.95

   

0.12

 

31

benzene

0.17

3.12

0.84

1.79

0.92

 

20.96

1.90

0.07

 

30

m-xylene

0.46

0.01

0.03

1.08

0.19

15.02

11.13

1.01

0.12

 

29

acetone

0.05

0.03

0.05

2.44

 

23.53

1.37

0.41

0.00

 

28

propylene

0.18

1.69

0.08

7.98

0.07

 

14.40

1.57

   

26

formaldehyde

5.73

1.84

1.17

0.14

 

0.04

10.44

1.58

4.27

 

25

heptane

0.02

1.36

0.00

1.69

13.39

1.88

4.05

0.10

   

22

trichloroethene

   

0.00

2.20

 

18.95

   

0.10

 

21

ethylbenzene

0.14

0.00

0.01

0.50

0.09

5.59

11.25

0.70

0.20

 

18

1,2,4-trimethylbenzene

 

0.00

0.00

0.35

0.00

7.80

9.83

0.46

   

18

o-xylene

0.10

0.01

0.01

0.39

0.06

3.69

11.32

0.82

0.07

 

16

acetylene

0.02

0.02

0.04

0.10

0.09

 

14.28

1.92

   

16

octane

     

1.11

11.86

0.34

1.68

0.09

   

15

2-butanone

   

0.00

0.17

 

14.26

0.39

 

0.02

 

15

p-xylene

0.00

0.01

0.01

0.40

0.02

3.67

8.61

1.01

0.10

 

14

ethyl acetate

     

0.56

 

13.12

   

0.04

 

14

dichloromethane

   

0.00

3.61

0.06

9.45

   

0.11

 

13

4-methyl-2-pentanone

     

0.17

 

11.56

       

12

2-methylpropene

     

0.08

   

11.29

 

0.01

 

11

decane

     

1.24

0.01

8.29

1.47

0.03

   

11

1,1,1-trichloroethane

   

0.00

0.00

 

10.37

   

0.10

 

10

2-propanol

     

0.87

 

7.55

   

0.03

 

8

tetrachloroethene

     

0.50

 

7.29

   

0.20

 

8

butyl acetate

     

0.03

 

6.82

   

0.03

 

7

1,3,5-trimethylbenzene

 

0.00

0.00

0.18

0.00

2.49

3.89

0.20

   

7

2-butene

           

6.45

0.25

0.03

 

7

1,3-butadiene

0.00

0.00

0.00

0.37

0.03

 

5.26

0.52

0.01

 

6

2-pentene

 

0.49

0.00

 

1.13

 

4.43

0.13

0.00

 

6

nonane

     

0.84

0.04

4.79

0.36

0.01

   

6

2-methylpentane

0.01

0.01

0.02

0.75

2.16

2.09

 

0.61

0.08

 

6

1-butanol

     

0.04

 

5.58

   

0.01

 

6

2-methylhexane

     

0.09

0.09

1.55

3.44

0.19

   

5

acetaldehyde

 

0.00

0.00

0.27

   

4.44

0.35

   

5

1,2,3-trimethylbenzene

 

0.00

0.00

0.14

0.00

2.49

2.21

0.17

   

5

undecane

     

0.44

 

4.33

 

0.10

   

5

methylethylbenzene

         

4.81

       

5

1-propanol

         

4.73

   

0.06

 

5

methyl acetate

     

4.66

 

0.00

       

5

3-methylhexane

     

0.11

0.09

1.56

2.48

0.15

   

4

cyclohexane

0.02

1.91

0.06

0.30

0.10

1.87

   

0.06

 

4

Total (1)

8.64

40.63

5.39

142.72

230.63

338.41

386.42

26.60

19.70

0.00

1199

                       

unspeciated

1.45

1.93

1.08

37.08

14.54

6.71

1.80

6.57

0.18

 

71

isoprene + BVOC (2)

                 

178.0

178

other grouped species

0.01

0.15

0.01

4.70

6.58

7.95

59.98

25.48

2.12

 

107

other VOC (3)

0.24

3.27

0.11

27.76

6.80

118.52

24.42

4.84

2.43

 

188

Total VOC (4)

10

46

7

212

259

472

473

63

24

178

1744

1"BVOC" are biogenic VOCs. An entry of "0" represents a value of <0.005 kTonnes (i.e. < 5 tonnes)

Photochemical Ozone Creation Potential

The speciation given in Table 5.7 (and Appendix 5) is a useful reference for finding the emission of a particular NMVOC compound. However, this does not reflect the fact that different NMVOC compounds are more or less efficient at generating ozone through photochemical reactions. To resolve this, the concept of a photochemical ozone creation potential (POCP) was created. This POCP identifies, on a relative basis, the ozone creation potential for each NMVOC compound through modelling studies. The creation potentials are then normalised by defining ethene as a creation potential of 1.

It is therefore possible to determine which NMVOCs are the more important for the photochemical formation of ozone in the atmosphere. This is achieved by scaling the emissions of each NMVOC by the corresponding POCP to determine a weighted total.

Table 5.8 POCP Weighted NMVOC Emissions

POCP

Code

Stationary Combustion

Production

Processes

Extraction and Distribution

of Fossil Fuels

Solvent Use

Road Transport

Other Transport

& Machinery

Waste Treatment

& Disposal

Nature (Forests)

TOTAL

(Mass Emission)

TOTAL

(POCP Weighted)

TOTAL (POCP

Weighted %)

butane

35.2

a

4.31

15.28

95.96

14.59

40.75

1.01

0.72

 

172.62

60.76

5.8%

toluene

63.7

a

1.56

7.31

0.56

31.87

51.49

2.28

0.29

 

95.36

60.75

5.8%

ethylene

100.0

a

3.70

12.43

0.14

 

31.74

3.64

   

51.65

51.65

5.0%

ethanol

39.9

a

1.56

65.48

 

54.37

   

0.50

 

121.91

48.64

4.7%

m-xylene

110.8

a

0.61

1.37

0.17

15.48

22.20

0.84

   

40.65

45.05

4.3%

pentane

39.5

a

5.64

8.63

31.13

17.80

16.71

0.61

   

80.51

31.80

3.1%

p-xylene

101.0

a

0.00

4.50

0.00

3.82

22.20

0.84

   

31.36

31.67

3.0%

propylene

112.3

a

1.65

6.03

0.09

0.00

14.54

1.31

0.50

 

24.12

27.09

2.6%

1,2,4-trimethylbenzene

127.8

a

0.00

0.42

 

7.53

10.91

0.39

   

19.25

24.60

2.4%

o-xylene

105.3

a

0.14

0.43

0.06

3.95

17.69

0.69

   

22.96

24.18

2.3%

2-methylbutane

40.5

a

2.99

3.69

19.83

0.00

31.69

1.19

   

59.38

24.05

2.3%

2-methylpropane

30.7

a

1.12

7.00

24.06

0.00

20.53

0.49

0.13

 

53.33

16.37

1.6%

ethylbenzene

73.0

a

0.19

0.58

0.07

5.81

14.82

0.59

0.22

 

22.27

16.26

1.6%

hexane

48.2

a

1.10

4.16

14.05

5.28

8.37

0.33

0.39

 

33.69

16.24

1.6%

propane

17.6

a

3.05

13.10

30.99

14.59

0.67

0.20

7.56

 

70.17

12.35

1.2%

heptane

49.4

a

1.37

1.93

16.54

0.32

3.13

0.08

0.66

 

24.03

11.87

1.1%

2-butene

113.9

a

 

0.86

   

8.87

0.21

   

9.94

11.32

1.1%

formaldehyde

51.9

a

6.94

2.08

   

6.32

1.47

4.90

 

21.71

11.27

1.1%

1,3,5-trimethylbenzene

138.1

a

0.00

0.14

 

2.91

3.46

0.17

   

6.69

9.23

0.9%

methylheptanes

45.3

c

   

0.04

 

16.80

0.60

   

17.44

7.90

0.8%

octane

45.3

a

 

0.07

14.41

0.47

2.36

0.08

   

17.39

7.88

0.8%

1,2,3-trimethylbenzene

126.7

a

0.00

0.14

 

2.83

2.71

0.15

   

5.82

7.38

0.7%

3-ethyltoluene

101.9

a

0.00

0.08

 

2.03

4.86

0.21

   

7.18

7.31

0.7%

benzene

21.8

a

3.89

5.14

0.59

0.00

21.90

1.48

0.07

 

33.07

7.21

0.7%

trichloroethene

32.5

a

 

0.58

 

21.34

   

0.11

 

22.02

7.16

0.7%

2-pentene

111.9

a

       

5.87

0.10

   

5.97

6.69

0.6%

2-methylpentane

42.0

a

0.00

0.96

2.31

0.49

11.45

0.54

   

15.75

6.61

0.6%

1-butene

107.9

a

0.00

0.86

0.67

 

4.40

0.15

   

6.09

6.57

0.6%

1-propanol

56.1

a

 

1.34

 

9.56

   

0.07

 

10.96

6.15

0.6%

xylenes

105.7

c

0.03

5.44

     

0.00

0.32

 

5.78

6.11

0.6%

1,3-butadiene

85.1

a

0.00

0.27

0.05

 

6.13

0.46

0.01

 

6.93

5.90

0.6%

1-butanol

62.0

a

 

1.16

 

8.24

   

0.01

 

9.41

5.83

0.6%

4-ethyltoluene

90.6

a

0.00

0.03

 

1.05

4.86

0.21

   

6.16

5.58

0.5%

2-butanone

37.3

a

 

3.97

 

10.74

   

0.02

 

14.73

5.50

0.5%

unspeciated HCs

71.9

c

 

7.47

           

7.47

5.37

0.5%

3-methylpentane

47.9

a

0.00

0.96

1.32

0.44

7.62

0.32

   

10.65

5.10

0.5%

4-methyl-2-pentanone

49.0

a

 

2.20

 

7.78

       

9.99

4.89

0.5%

ethane

12.3

a

4.85

4.56

18.95

0.00

3.29

0.38

7.62

 

39.65

4.88

0.5%

decane

38.4

a

 

0.54

0.01

11.35

0.42

0.03

   

12.34

4.74

0.5%

paraffins other

36.8

c

         

12.27

   

12.27

4.52

0.4%

pentenes

91.7

c

0.87

 

3.19

     

0.00

 

4.06

3.72

0.4%

methylethylbenzene

94.1

c

 

0.24

 

3.48

       

3.71

3.49

0.3%

1-pentene

97.7

a

0.00

     

3.11

0.20

   

3.31

3.23

0.3%

2-ethyltoluene

89.8

a

0.00

   

0.37

3.02

0.16

   

3.54

3.18

0.3%

undecane

38.4

a

 

0.28

 

5.93

1.93

0.09

   

8.23

3.16

0.3%

ethyl acetate

20.9

a

 

1.09

 

13.91

   

0.04

 

15.04

3.14

0.3%

nonane

41.4

a

 

0.31

0.02

6.55

0.22

0.01

   

7.12

2.95

0.3%

propylbenzene

63.6

a

0.00

0.08

 

1.84

2.33

0.13

0.20

 

4.58

2.91

0.3%

ethyldimethylbenzene

132.0

c

 

0.13

 

1.91

       

2.04

2.69

0.3%

2-methylhexane

41.1

a

 

0.54

0.51

 

5.32

0.15

   

6.52

2.68

0.3%

Total Top 50 (POCP)

   

45.54

193.83

275.72

288.63

434.70

34.06

24.35

 

1296.83

695.58

66.9%

                           

Other Speciated VOCs

   

6.09

79.89

16.60

192.85

46.50

7.26

4.77

 

353.95

117.66

11.3%

Isoprene and BVOCs 1

90.0

c

             

178

178.00

160.20

15.4%

Unspeciated VOCs

51.3

c

3.02

53.15

2.15

18.78

46.09

6.22

0.07

 

129.48

66.42

6.4%

Total- All VOC

   

55

327

294

500

527

48

29

178

1958

1040

100%

1"BVOC" are biogenic VOCs. An entry of "0" represents a value of <0.005 kTonnes (i.e. < 5 tonnes)

 

Temporal Disaggregation of NMVOC Emission Estimates

The emission of NMVOC plays a key role the formation of ground level ozone. The representation of the emissions therefore has an important influence on the results of emission-driven ozone modelling studies. In addition to the overall magnitude and speciation of the emissions, it is also important to define their temporal variation.

Broadly speaking, the emissions can vary on three timescales, namely (i) with season, (ii) with day of week, and (iii) with hour of day. Clearly, a correct description of the seasonal dependence is important, because the photochemical conditions required for ozone formation occur during the summer months (April – September). The hour of day dependence is also important, particularly for very reactive NMVOC which are rapidly oxidised during daylight hours. The variation of emissions with day of week, in conjunction with the multi-day timescale for ozone formation and transport to occur, is believed to provide an explanation for the observed prevalence of photochemical ozone episodes on particular days of the week (Jenkin et al., 2000).

Temporal variations in emissions of NMVOC have been estimated over the corresponding timescales, as follows:

  • Diurnal: the portion of daily emissions which occur during each hour of a typical 24 hour period have been estimated.
  • Weekly: the portion of weekly emissions which occur on each day of a typical week have been estimated.
  • Annual: the portion of annual emissions which occur during each month of a typical year have been estimated.

A single representative profile has therefore been defined for the diurnal, weekly and annual variations for each NMVOC source category. Currently, no attempt has been made to identify differences in the diurnal pattern of emissions on different days of the week or at different times of year. Similarly, no attempt has been made to distinguish differences in the weekly pattern of emissions at different times of year. Such differences could well exist: for example, it is conceivable that emissions from decorative paint use and lawn mowers could exhibit a different pattern on a weekend compared with a week-day. In the former case, the emission might be expected to occur throughout the day whereas, in the latter case, emissions might be expected to peak during the early evening, after many people return home from work. Clearly, a fully rigorous temporal profile should therefore define the portion of emissions occurring in each hour of a given year, with the precise profile also changing from one year to the next. However, such a methodology would be impractical, and the resultant information would be difficult to use in modelling applications. The present approach is therefore designed to provide a practical method of defining the temporal variations in emissions.

Default profiles

Two approaches have been used to define the temporal profiles – the use of ‘real’ data or the use of ‘default’ profiles. In the first case, we have used data such as fuel consumption, electricity generated, or traffic volumes, which can be related to emissions, and which are themselves temporally resolved. This is described further below. In the second case, we have assumed that emissions follow one of a small set of default profiles. This second approach is used for most emission sources since no ‘real’ data are available. Table 5.9 lists the default profiles that are used.

The default profiles have been applied, based on our knowledge of the emitting processes. In most cases, we believe that our choice of profile is unlikely to be considered contentious. However, we intend to consult with trade associations and other interested bodies, and gather views on the validity of the assumptions made.

Table 5.10 gives examples of the default profiles used for some of the NMVOC source sectors. This data only gives some of the sources- the full list being extensive. Table 5.10 also identifies those sources for which real data have been used instead.

Table 5.9 Default profiles used to estimate temporal variations in NMVOC emissions

Timescale

Code

Variation

Diurnal

D1

Constant emission

Diurnal

D2

Emission over 8 hours, 9 am – 5 p.m.

Diurnal

D3

Emission over 12 hours, 8 am – 8 p.m.

Weekly

W1

Emissions occur equally on each day

Weekly

W2

Emissions occur Monday – Friday only

Weekly

W3

Emissions occur Monday – Saturday only

Annual

Y1

Emissions occur equally during each month

Annual

Y2

Emissions occur during April – September only

Annual

Y3

Emissions occur during October – March only

Table 5.10 Summary of approach for temporal disaggregation of NMVOC sources

Source

Fuel

Diurnal

Weekly

Annual

Chemicals manufacture

D1

W1

Y1

Coating (vehicle refinishing)

D2

W3

Y1

Combustion (domestic)

Liquid/gaseous fuels

D1

W1

Y3

Combustion (domestic)

Solid fuels

D3

W1

Y3

Combustion (power generation)

All fuels

D1

W1

Y1

Decorative paints

D3

W1

Real

Domestic solvent use (aerosols etc.)

D3

W1

Y1

Forests

Real

W1

Real

Petrol distribution (petrol stations)

D2

W3

Y1

Petrol distribution (vehicle refuelling)

D3

W1

Y1

Refineries (all sources)

All fuels

D1

W1

Y1

Road construction

D1

W1

Y2

Road transport

All fuels

Real

Real

Real

Real Data

Real data were used to define the typical temporal variations for a series of categories, namely road transport, natural emissions (forests), paint sectors and power generation.

The emissions from road transport were calculated using the NAEI road transport emissions model. The methodology involved combining emission factors with traffic flow data, and average temperature and diurnal temperature fluctuation data, based on data from the Meteorological Office. The month of year data were determined from quarterly traffic flow statistics from DEFRA and the devolved administrations, as used previously in generating quarterly toxic tailpipe emission indices as published by the AA. The time of day and day of week dependence of traffic flows were taken from Road Traffic Statistics of Great Britain 1992. The relative profiles of the road transport categories, presented in Figures 5.12-5.14, show some interesting variations. For example, Figure 5.12 shows that exhaust emissions decrease in the summer months, owing to a general decrease in vehicle usage: however this is more than compensated for by the increase in evaporative emissions, such that the total road transport emissions maximise in the summer.

Figure 5.12 Relative Emissions from Road Transport Categories with Season

Figure 5.13 Relative Emissions from Road Transport Categories with Day of Week

Figure 5.14: Relative Emissions from Road Transport Categories with Hour of Day

The annual and diurnal emissions of natural hydrocarbons from forests were also defined on the basis of available data, with the day of week assigned default W1 (Table 5.10). The annual and diurnal variations account for the variations in light (photosynthetically active radiation, PAR) and temperature, by making use of the published methodology of Guenther et al (1994) as also discussed for Europe by Simpson et al (1995). For this procedure, it was assumed that the emissions were entirely in the form of isoprene, which is consistent with the current representation in ozone models (Derwent et al., 1998). The month of year temperature variation was based on data given in DUKES (1999). The hour of day variation was based on a standard diurnal temperature variation currently adopted in boundary layer models (Derwent et al., 1998). The variation of PAR was inferred from the time of year and hour of day variation of actinic flux determined from photolysis models (Hough 1988).

Month of year emissions for a variety of paint sectors were assigned on the basis of the monthly profile of paint sales compiled by Passant and Lymberidi (1998). This allowed profiles to be defined for the following sectors: decorative paint (retail), decorative paint (trade), industrial coatings (coil coating, furniture, metal packaging, heavy duty, marine, OEM, vehicle refinishing and general industrial).

Temporal factors were also assigned to power generation by coal combustion (and related sectors) and natural gas combustion (and related sectors) on the basis of data from a number of sources. For coal combustion, the hour of day profile was based on data supplied by the National Grid (as also presented in their 7 year statement) for typical summer and winter demand. The month of year factors were determined for coal and natural gas combustion on the basis of the typical demand data for summer and winter supplied by the National Grid and quarterly data on the usage of fuel in electricity generation, as presented in the DTI Energy Trends publication (February 2000). On the basis of the National Grid data, the defaults W1 and D1 can reasonably be applied to natural gas combustion. However, the data demonstrate that coal combustion is substantially lower at weekends.

Total NMVOC temporal profiles

The applied temporal codes allow emissions estimates to be made for a given hour for either total NMVOC, or for specific sectors or sectoral combinations. Some examples of data for total NMVOC emissions are presented in Figures 5.15-5.17. Figure 5.15 shows a comparison of the emissions of total NMVOC on a typical Friday in each month of the year, both for the hour ending at midday and the hour ending at midnight. Whereas the night-time emissions estimates show little variation with month, the daytime emissions maximise in the summer, owing partially to the increased emissions from road transport (Figure 5.12).

Figure 5.15 Emissions of NMVOC for the Hours Ending at Midday and Midnight on a Typical Friday in Each Month of the Year.

Figure 5.16: Emissions of NMVOC for the Hours Ending at Midday and Midnight for Each Day of the Week in July.

Figure 5.17 Emissions of NMVOC for Each Hour of the Day for a Typical Friday in January and July.

Figure 5.16 demonstrates that NMVOC emissions are substantially greater on weekdays than they are on weekends. This information is currently being applied in ozone modelling studies to investigate the possible link between the day-of-week variation in ozone precursor emissions and the observed prevalence of episodes of health-related ozone threshold concentration exceedances on particular days of the week.

A typical diurnal dependence of total NMVOC emissions is presented in Figure 5.17 for midsummer and midwinter. The calculated profiles are reasonably similar, which partially reflects that only a single representative profile is assigned to each source with no allowance made for possible variations with time of year. Also, the diurnal dependence of the major contributions from road transport and many solvent subcategories are strongly correlated with the working day, such that the similarity in the summer and winter profiles would seem reasonable.