RIVM report xxxxxx xxx

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page 100 of 142 RIVM report 773301 001 / NRP report 410200 051 6HDVRQDOYDULDWLRQRIPDMRUVRXUFHVRI&212[DQG1092&LQWKH86$ :LQ 6SU 6XP $XW :LQ 6SU 5&2&2 52$&2 152&2 0,6&2 32:12[ ,1'12[ 5&212[ 52$12[ 15212[ &KHP3UR1092& 62/1092& 52$1092& 1521092& Note: RCO = residentials etc.; ROA = Road transport; NRO = Non-road tra sport ; MIS = Miscellaneous; POW = Power generation; IND = Industry; SOL = Solvent use )LJ$6HDVRQDOYDULDWLRQRIPDMRUVRXUFHVRI&212 [ DQG1092&LQWKH86$6RXUFH(3$ Although the information of this project has been used to generate European emission inventories with high time and space resolution, it was not possible to receive sectoral time profiles aggregated to the country level. Nevertheless, many data sources are available as indicator for monthly variation. This provides a good sense for the variability of anthropogenic emissions. However, regarding monthly indicator data for specific economic sectors at country level, however, data are not so easily available, in particular with global coverage. In general one can say that for OECD countries more statistics are available than for non-OECD countries. In the remainder we will summarise data sources by presenting a selection of available seasonal profiles for the main anthropogenic emission sources: fossil fuel combustion, industrial production, agriculture and biomass burning. When using these datasets to compile time profiles on a global scale one should keep in mind that actual seasonality may differ from year to year, so when constructing an average profile one should preferably use multi-year datasets to average out these differences and to be able to estimate the uncertainty in these profiles when applying them for a specific year. )RVVLOIXHOFRPEXVWLRQ Based on reported fossil fuel consumption data, supplemented by data on heating-degree days, Rotty (1987) analysed seasonal variation of fuel consumption in the 21 largest fuel consuming countries. Figure A.2.3 shows the difference for global total fuel consumption per fuel type. It clearly shows that gas is has a higher share in consumption for space heating than coal and oil. In Figure A.2.4 per fuel type the different seasonal pattern of six world regions are presented. These graphs illustrate clearly the opposite cycles of temperate regions in the Northern and Southern Hemisphere as well as the higher seasonality in temperate regions compared to tropical regions.
RIVM report 773301 001 / NRP report 410200 051 page 101 of 142 1.60 Global total profile per fuel type Difference w.r.t. uniform distribution 1.40 1.20 1.00 0.80 0.60 0.40 0.20 gas liquids solids total 0.00 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN J$0RQWKO\YDULDWLRQLQJOREDOWRWDOIRVVLOIXHOFRPEXVWLRQSHUIXHOW\SH6RXUFH5RWW\ )L Time profile: gas combustion (1982) 1.40 Time profile: solid fuel combustion (1982) 1.80 Difference w.r.t. uniform distribution 1.60 1.40 1.20 1.00 0.80 0.60 0.40 0.20 Difference w.r.t. uniform distribution 1.20 1.00 0.80 0.60 0.40 0.20 0.00 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN 0.00 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN Time profile: liquid fuel combustion (1992) Time profile: total fossil fuel combustion (1982) 1.40 1.40 Difference w.r.t. uniform distribution 1.20 1.00 0.80 0.60 0.40 0.20 Difference w.r.t. uniform distribution 1.20 1.00 0.80 0.60 0.40 0.20 North America Western Europe Eastern Europe+CIS Far East Mid Latitudes Southern Latitudes WORLD-21 0.00 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN 0.00 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN )LJ $ 0RQWKO\ YDULDWLRQ LQ IRVVLO IXHO FRPEXVWLRQ SHU IXHO W\SH SHU ZRUOG UHJLRQV DQG LQ WKH VRP RI DQDO\VHGFRXQWULHV6RXUFH5RWW\
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