| Determination of the
free parameter in the RM scenarios 2020 - 2100 |
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selected
country: |
China |
weighting P: |
15% |
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target is not met |
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t / capita |
8.32[1] |
global budget in Gt: |
550 |
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| input value |
determination via "goal seek" |
target value
of "goal seek" |
target is met |
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| RM scenarios: |
RM-1 const |
RM-2 exp |
RM-3 lin |
RM-4 quadr |
RM-5 rad |
RM-6 abs |
info |
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| characteristics of the
scenario |
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RRt const |
RRt exp |
RRt lin |
RRt quadr |
RRt rad |
RA const |
change rate 2019 |
average annual change rate 2018 - 2019 |
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| A corona effect should not be considered
here. |
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only a negative RR_20 possible |
a positive RR_20 is also
possible
(= increasing emissions after 2019) |
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2 - 5 |
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| change rate 2020 (RR20)[2] |
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-8.65% |
-0.01% |
2.30% |
2.30% |
2.30% |
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3.5% |
2.30% |
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| initial value[3] |
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-8% |
10% |
-1% |
0 |
0 |
-473 |
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RRt constant |
a |
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a |
RA |
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| free
parameters are determined by Goal Seek in such a way as that the budget is
adhered to. |
-8.65% |
76.43% |
-1.09193% |
2.03697E+66 |
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-3.77787E+16 |
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-0.00107694 |
-0.03566368 |
-559.40[4] |
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| scenario ∑ 2020 - 2100; sheet 'RM' |
Mill. t |
161,377 |
161,377 |
161,377 |
161,377 |
161,377 |
161,377 |
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| budget ∑
2020 - 2100; sheet 'base data'[5] |
Mill. t |
161,377 |
161,377 |
161,377 |
161,377 |
161,377 |
161,377 |
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| emissions
2100 scenario; sheet 'RM' |
Mill. t |
-236.40 |
-236.40 |
-236.40 |
-236.40 |
-236.40 |
-236.40 |
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| Emin; sheet 'base data'[6] |
Mill. t |
-236.40 |
-236.40 |
-236.40 |
-236.40 |
-236.40 |
-236.40 |
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| year Emin is achieved |
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2074 |
2037 |
2051 |
2044 |
2060 |
2046 |
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| change rate
2030 / 1990 |
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155% |
392% |
254% |
317% |
213% |
240% |
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| year emissions neutrailty[7] |
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2069 |
2037 |
2049 |
2043 |
2056 |
2045 |
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| At which level of emissions in
2019 (threshold value; TV)
shall the annual percentage reduction be change into a constant annual
reduction? |
RM 2 - 5: |
413.68 |
Mill. t |
3.50% |
3.5%[8] |
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| RM-1: |
531.87 |
Mill. t |
4.50% |
4.5%[9] |
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data macro 'finding budget': |
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Specified emissions target |
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0% |
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| Download a comprehensive mathematical description
of the Regensburg Model Scenario Types: |
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Current emissions target |
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0% |
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| Mathematicel Description RM 1 - 6 |
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Specified maximum global budget |
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Gt |
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Current global budget |
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Gt |
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| dashboard |
check sum |
0 is ok; 1
not ok |
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| RM-1 const |
RM-2 exp |
RM-3 lin |
RM-4 quadr |
RM-5 rad |
RM-6 abs |
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| budget is adhered to |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
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| emissions in 2100 not
positive |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
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| no increasing emissions |
0 |
0 |
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0 |
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| check sum |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
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data macro 'finding NNE': |
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| E_2100 is negative but not
equal to E_min |
0 |
0 |
0 |
0 |
0 |
0 |
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Specified emissions target |
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0.0% |
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Current emissions target |
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0.0% |
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Specified max. potential NNE |
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0.0% |
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Current potential NNE |
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0.0% |
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baseline potential NNE |
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0.0% |
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data macro 'finding weighting p.': |
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Specified emissions target |
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0.0% |
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Current emissions target |
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0.0% |
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Minimum or maximum weight P |
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0.0% |
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Current weighting population |
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0.0% |
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baseline weighting population |
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0.0% |
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global per capita |
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t |
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country per capita |
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t |
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data macro 'finding budget': |
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Specified year of emissions
neutrality |
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Current year of emissions neutraltity |
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Specified maximum global budget |
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Gt |
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Current global budget |
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Gt |
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data macro 'finding NNE': |
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Specified year |
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Current year |
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Specified max. potential NNE |
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0.0% |
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Current potential NNE |
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0.0% |
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baseline potential NNE |
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0.0% |
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data macro 'finding weighting p.': |
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Specified emissions target |
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Current emissions target |
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Minimum or maximum weight P |
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0.0% |
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Current weighting population |
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0.0% |
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baseline weighting population |
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0.0% |
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global per capita |
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t |
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country per capita |
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t |
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