The relevance of energy storages for an autarky of electricity supply ...

Hour
Comparison demand + supply one day November
Sum ele. supply
November MWh
daily electricity production 129.928
daily electricity consumption 178.412
0:00 6.021 258 471 836 1.526 1.464 – 4.555 – -1.466 from annual storage 48.484
1:00 5.599 258 471 836 1.526 1.464 – 4.555 – -1.044
2:00 5.440 258 471 836 1.526 1.464 – 4.555 – -885
3:00 5.279 258 471 836 1.526 1.464 – 4.555 – -724
4:00 5.327 258 471 836 1.526 1.464 – 4.555 – -771
5:00 5.598 258 471 836 1.526 1.464 – 4.555 – -1.043
6:00 6.583 258 471 836 1.526 1.464 – 4.555 – -2.028
7:00 7.448 258 471 836 1.526 1.464 – 4.555 – -2.893
8:00 7.887 258 471 836 1.526 1.464 959 5.514 – -2.373
9:00 7.906 258 471 836 1.526 1.464 2.032 6.587 – -1.319
10:00 8.020 258 471 836 1.526 1.464 2.796 7.351 – -668
11:00 8.089 258 471 836 1.526 1.464 3.256 7.811 – -278
12:00 8.133 258 471 836 1.526 1.464 3.379 7.934 – -199
13:00 8.038 258 471 836 1.526 1.464 3.167 7.722 – -315
14:00 8.001 258 471 836 1.526 1.464 2.633 7.188 – -813
15:00 7.947 258 471 836 1.526 1.464 1.793 6.349 – -1.599
16:00 8.060 258 471 836 1.526 1.464 680 5.235 – -2.825
17:00 8.163 258 471 836 1.526 1.464 – 4.555 – -3.608
18:00 7.967 258 471 836 1.526 1.464 – 4.555 – -3.412
19:00 7.655 258 471 836 1.526 1.464 – 4.555 – -3.100
20:00 7.452 258 471 836 1.526 1.464 – 4.555 – -2.897
21:00 6.906 258 471 836 1.526 1.464 – 4.555 – -2.351
22:00 6.841 258 471 836 1.526 1.464 – 4.555 – -2.286
23:00 6.348 258 471 836 1.526 1.464 – 4.555 – -1.793
MIN 199
MAX 3.608
Hour
Nat. ele
consumption MW
(thrid wednesday)
Constant szenario (MW) – November
Geothermal CHP Stored HP Run-off HP Wind PV
Growth szenario (MW) – November
Nat. ele
consumption MW Geothermal
(thrid wednesday)
CHP Stored HP Run-off HP
Wind PV Sum ele. supply
oversupply shortage
November MWh
daily electricity production 130.574
daily electricity consumption 233.104
0:00 8.596 1.680 290 836 1.705 1.493 – 6.004 – -2.592 from annual storage 102.530
1:00 7.994 1.680 290 836 1.705 1.493 – 6.004 – -1.989
2:00 7.767 1.680 290 836 1.705 1.493 – 6.004 – -1.763
3:00 7.538 1.680 290 836 1.705 1.493 – 6.004 – -1.533
4:00 7.605 1.680 290 836 1.705 1.493 – 6.004 – -1.600
5:00 7.993 1.680 290 836 1.705 1.493 – 6.004 – -1.989
6:00 9.398 1.680 290 836 1.705 1.493 – 6.004 – -3.394
7:00 10.634 1.680 290 836 1.705 1.493 – 6.004 – -4.630
8:00 11.260 1.680 290 836 1.705 1.493 1.164 7.168 – -4.092
9:00 11.288 1.680 290 836 1.705 1.493 2.467 8.472 – -2.816
10:00 11.450 1.680 290 836 1.705 1.493 3.395 9.400 – -2.050
11:00 11.549 1.680 290 836 1.705 1.493 3.953 9.958 – -1.591
12:00 11.612 1.680 290 836 1.705 1.493 4.103 10.108 – -1.504
13:00 11.476 1.680 290 836 1.705 1.493 3.846 9.850 – -1.625
14:00 11.423 1.680 290 836 1.705 1.493 3.197 9.201 – -2.222
15:00 11.346 1.680 290 836 1.705 1.493 2.178 8.182 – -3.164
16:00 11.508 1.680 290 836 1.705 1.493 826 6.831 – -4.678
17:00 11.655 1.680 290 836 1.705 1.493 – 6.004 – -5.651
18:00 11.375 1.680 290 836 1.705 1.493 – 6.004 – -5.370
19:00 10.929 1.680 290 836 1.705 1.493 – 6.004 – -4.925
20:00 10.640 1.680 290 836 1.705 1.493 – 6.004 – -4.635
21:00 9.860 1.680 290 836 1.705 1.493 – 6.004 – -3.856
22:00 9.767 1.680 290 836 1.705 1.493 – 6.004 – -3.762
23:00 9.063 1.680 290 836 1.705 1.493 – 6.004 – -3.059
MIN 1.504
MAX 5.651
legend: calculated from given data (constant szenario)
calculated from given data (growth szenario)
oversupply
shortage