Timeslice definitions

Each KiNESYS instance is built with a timeslice definition chosen for the question, the time available to solve, and the size of the model (regions × technologies). The catalog runs from 12 slices — screening runs and large region sets — to 72 slices, used when the question needs the shape of the day and the instance can still solve.

Every TIMES result is an average over a time slice, so the definition decides what the results can show. Load shapes, renewable profiles, and storage all aggregate to the same slices; they do not choose a definition of their own.

See also

How hourly demand is aggregated into these slices: Electricity Load Shapes. How renewable cluster profiles are aggregated: Renewable Energy Characterization. Power-sector overview: Power sector.

The catalog

A definition is a season cut (how the year is divided) crossed with a day-block cut (how the 24-hour day is divided). Nothing else varies. Two definitions that share one cut differ only in the other, so a difference in results is attributable to that one change.

KiNESYS timeslice catalog

Definition	Season cut	Day-block cut	Slices
ts_12	4 — calendar quarters	3 — 8h / 10h / 6h	12
ts_24	6 — bimonthly	4 — uniform 6h	24
ts_36	6 — bimonthly	6 — uniform 4h	36
ts_48	6 — bimonthly	8 — 1h to 6h	48
ts_48h	4 — calendar quarters	12 — 1h to 6h	48
ts_72	6 — bimonthly	12 — 1h to 6h	72

Three relationships follow from that table:

• ts_12 and ts_48h use identical seasons (Dec–Feb, Mar–May, Jun–Aug, Sep–Nov), so they differ only in the shape of the day.

• ts_48h and ts_72 use an identical day, so they differ only in the seasons.

• ts_24 and ts_72 share the same six seasons, so they too differ only in the day.

ts_48 and ts_48h are the same size — 48 slices, the same solve cost — but spend it differently: ts_48 on seasons, ts_48h on the day.

Hour ranges are inclusive at both ends. A slice labeled 08–17 contains hours 08 through 17; the next slice begins at 18. A one-hour slice is written with both ends the same (06–06).

Choosing a definition

The three axes interact: a 70-region global model at 72 slices is a different object from a 10-region national model at 72 slices. In practice the choice is:

Question. What must the results be able to show?

• Screening, fuel mix, long-run investment: coarse day-blocks are enough.

• Seasonal storage, hydro, heating/cooling: more seasons help (6 rather than 4).

• Solar–evening, day-cycling storage, ramps: the day must be split on the morning and evening shoulders (the 12-block day in ts_48h / ts_72).

Time. Slice count is the first-order driver of solve time. Moving from 12 to 48 or 72 is the difference between a case that turns around in a meeting and one that runs overnight — and that gap widens as the region set grows.

Model size. Regions and technologies multiply the slice count. Large instances stay on ts_12 or ts_24; smaller or more focused instances can spend the budget on ts_48h or ts_72.

Typical fit

You need…	Prefer	Because
Fast screening; large region set	ts_12	Cheapest. The midday block is 10 hours; a day-cycling store has only three blocks.
General purpose; seasons matter more than ramps	ts_24	Six bimonthly seasons, uniform 6-hour day. A balanced default.
Finer day, still uniform blocks	ts_36	Same six seasons as ts_24, 4-hour blocks. No 1-hour ramp slices.
Seasonal questions with some ramp resolution	ts_48	Six seasons; eight irregular day-blocks. Same LP size as ts_48h, spent on the year.
Solar–evening, day-cycling storage, ramps	ts_48h	Same 48 slices as ts_48, but 12 day-blocks sitting on the ramps. Four seasons only.
Both seasons and the day, instance still tractable	ts_72	ts_48h’s day crossed with ts_24’s seasons.

Treat the table as a starting point. Comparing ts_12 with ts_48h on the same instance isolates the day; comparing ts_48h with ts_72 isolates the seasons; comparing ts_48 with ts_48h holds solve cost fixed and asks where the 48 slices were better spent.

What a slice is, and is not

Note

Every slice is a mean over many days. The smallest slice in ts_48h, 06–06 in winter, is the average of 90 winter mornings. There is no cold snap in it, no still windless week, no cloudy fortnight — and the annual peak hour appears in no slice anywhere. Capacity is therefore sized against slice averages plus whatever reserve-margin constraint is imposed, not against a load-duration curve.

Within-block shape disappears. A generation profile is flattened to its block mean. Under ts_12, midday solar output and the 17:00 shoulder sit in one 10-hour block (08–17) and are represented by a single number, so the midday surplus and the evening deficit are both smaller than they are in reality. Under ts_48h that same window is six blocks, three of them one hour wide.

Storage moves energy between slices, so the block count is its opportunity set. A day-cycling store under ts_12 has three blocks to work with; under ts_48h it has twelve, and the finest of them sit exactly on the morning and evening ramps. A seasonal store sees 4 or 6 seasons depending on the definition. Comparing storage deployment across definitions therefore compares two different opportunity sets, not two different economics.

Slice weights are unequal — by a factor of six in ts_48h. Its blocks range from 1 hour to 6, so its slices run from 1.03% to 6.30% of the year. Nothing can be summed or averaged across slices without weighting (G_YRFR).

Aggregate regions span time zones. Multi-country aggregates mix several local days into one regional day. The resulting day shape is flatter than any member’s — an artefact of aggregation, not of the slice definition. Worth confirming against the load-shape source before reading an aggregate region’s intraday result closely.

The definitions

Each grid is one model year: 12 months across, 24 clock hours down. A cell is one (month, hour) pair; cells of the same colour are one season, and the gaps mark the day-block boundaries. Months run December first so that every season reads as one contiguous band.

In ts_48, ts_48h and ts_72 the overnight block wraps midnight, so it appears as a band at the top of the grid and another at the bottom — one block, drawn twice. Hour ranges on the grids follow the same inclusive convention as the tables: 08–17 is hours 08 through 17.

Hover any cell for its slice and weight.

Open the grids in a new tab.

Full slice tables

Every slice in every definition, with its months, its clock hours, and its share of the year. Each definition tiles 8760 hours exactly.

ts_12

4 seasons × 3 day-blocks. Slice weight 6.16–10.50% of the year.

season	months	days	block	clock_hours	hours	share_of_year
S1	Dec, Jan, Feb	90 d	H1	00–07	8 h	8.22%
S1	Dec, Jan, Feb	90 d	H2	08–17	10 h	10.27%
S1	Dec, Jan, Feb	90 d	H3	18–23	6 h	6.16%
S2	Mar, Apr, May	92 d	H1	00–07	8 h	8.40%
S2	Mar, Apr, May	92 d	H2	08–17	10 h	10.50%
S2	Mar, Apr, May	92 d	H3	18–23	6 h	6.30%
S3	Jun, Jul, Aug	92 d	H1	00–07	8 h	8.40%
S3	Jun, Jul, Aug	92 d	H2	08–17	10 h	10.50%
S3	Jun, Jul, Aug	92 d	H3	18–23	6 h	6.30%
S4	Sep, Oct, Nov	91 d	H1	00–07	8 h	8.31%
S4	Sep, Oct, Nov	91 d	H2	08–17	10 h	10.39%
S4	Sep, Oct, Nov	91 d	H3	18–23	6 h	6.23%

ts_24

6 seasons × 4 uniform 6 h blocks. Slice weight 4.04–4.25% of the year.

season	months	days	block	clock_hours	hours	share_of_year
S1	Dec, Jan	62 d	H1	00–05	6 h	4.25%
S1	Dec, Jan	62 d	H2	06–11	6 h	4.25%
S1	Dec, Jan	62 d	H3	12–17	6 h	4.25%
S1	Dec, Jan	62 d	H4	18–23	6 h	4.25%
S2	Feb, Mar	59 d	H1	00–05	6 h	4.04%
S2	Feb, Mar	59 d	H2	06–11	6 h	4.04%
S2	Feb, Mar	59 d	H3	12–17	6 h	4.04%
S2	Feb, Mar	59 d	H4	18–23	6 h	4.04%
S3	Apr, May	61 d	H1	00–05	6 h	4.18%
S3	Apr, May	61 d	H2	06–11	6 h	4.18%
S3	Apr, May	61 d	H3	12–17	6 h	4.18%
S3	Apr, May	61 d	H4	18–23	6 h	4.18%
S4	Jun, Jul	61 d	H1	00–05	6 h	4.18%
S4	Jun, Jul	61 d	H2	06–11	6 h	4.18%
S4	Jun, Jul	61 d	H3	12–17	6 h	4.18%
S4	Jun, Jul	61 d	H4	18–23	6 h	4.18%
S5	Aug, Sep	61 d	H1	00–05	6 h	4.18%
S5	Aug, Sep	61 d	H2	06–11	6 h	4.18%
S5	Aug, Sep	61 d	H3	12–17	6 h	4.18%
S5	Aug, Sep	61 d	H4	18–23	6 h	4.18%
S6	Oct, Nov	61 d	H1	00–05	6 h	4.18%
S6	Oct, Nov	61 d	H2	06–11	6 h	4.18%
S6	Oct, Nov	61 d	H3	12–17	6 h	4.18%
S6	Oct, Nov	61 d	H4	18–23	6 h	4.18%

ts_36

6 seasons × 6 uniform 4 h blocks. Slice weight 2.69–2.83% of the year.

season	months	days	block	clock_hours	hours	share_of_year
S1	Dec, Jan	62 d	H1	00–03	4 h	2.83%
S1	Dec, Jan	62 d	H2	04–07	4 h	2.83%
S1	Dec, Jan	62 d	H3	08–11	4 h	2.83%
S1	Dec, Jan	62 d	H4	12–15	4 h	2.83%
S1	Dec, Jan	62 d	H5	16–19	4 h	2.83%
S1	Dec, Jan	62 d	H6	20–23	4 h	2.83%
S2	Feb, Mar	59 d	H1	00–03	4 h	2.69%
S2	Feb, Mar	59 d	H2	04–07	4 h	2.69%
S2	Feb, Mar	59 d	H3	08–11	4 h	2.69%
S2	Feb, Mar	59 d	H4	12–15	4 h	2.69%
S2	Feb, Mar	59 d	H5	16–19	4 h	2.69%
S2	Feb, Mar	59 d	H6	20–23	4 h	2.69%
S3	Apr, May	61 d	H1	00–03	4 h	2.79%
S3	Apr, May	61 d	H2	04–07	4 h	2.79%
S3	Apr, May	61 d	H3	08–11	4 h	2.79%
S3	Apr, May	61 d	H4	12–15	4 h	2.79%
S3	Apr, May	61 d	H5	16–19	4 h	2.79%
S3	Apr, May	61 d	H6	20–23	4 h	2.79%
S4	Jun, Jul	61 d	H1	00–03	4 h	2.79%
S4	Jun, Jul	61 d	H2	04–07	4 h	2.79%
S4	Jun, Jul	61 d	H3	08–11	4 h	2.79%
S4	Jun, Jul	61 d	H4	12–15	4 h	2.79%
S4	Jun, Jul	61 d	H5	16–19	4 h	2.79%
S4	Jun, Jul	61 d	H6	20–23	4 h	2.79%
S5	Aug, Sep	61 d	H1	00–03	4 h	2.79%
S5	Aug, Sep	61 d	H2	04–07	4 h	2.79%
S5	Aug, Sep	61 d	H3	08–11	4 h	2.79%
S5	Aug, Sep	61 d	H4	12–15	4 h	2.79%
S5	Aug, Sep	61 d	H5	16–19	4 h	2.79%
S5	Aug, Sep	61 d	H6	20–23	4 h	2.79%
S6	Oct, Nov	61 d	H1	00–03	4 h	2.79%
S6	Oct, Nov	61 d	H2	04–07	4 h	2.79%
S6	Oct, Nov	61 d	H3	08–11	4 h	2.79%
S6	Oct, Nov	61 d	H4	12–15	4 h	2.79%
S6	Oct, Nov	61 d	H5	16–19	4 h	2.79%
S6	Oct, Nov	61 d	H6	20–23	4 h	2.79%

ts_48

6 seasons × 8 day-blocks (1–6 h). Slice weight 0.67–4.25% of the year.

season	months	days	block	clock_hours	hours	share_of_year
S1	Dec, Jan	62 d	H1	00–05	6 h	4.25%
S1	Dec, Jan	62 d	H2	06–07	2 h	1.42%
S1	Dec, Jan	62 d	H3	08–11	4 h	2.83%
S1	Dec, Jan	62 d	H4	12–15	4 h	2.83%
S1	Dec, Jan	62 d	H5	16–17	2 h	1.42%
S1	Dec, Jan	62 d	H6	18–18	1 h	0.71%
S1	Dec, Jan	62 d	H7	19–21	3 h	2.12%
S1	Dec, Jan	62 d	H8	22–23	2 h	1.42%
S2	Feb, Mar	59 d	H1	00–05	6 h	4.04%
S2	Feb, Mar	59 d	H2	06–07	2 h	1.35%
S2	Feb, Mar	59 d	H3	08–11	4 h	2.69%
S2	Feb, Mar	59 d	H4	12–15	4 h	2.69%
S2	Feb, Mar	59 d	H5	16–17	2 h	1.35%
S2	Feb, Mar	59 d	H6	18–18	1 h	0.67%
S2	Feb, Mar	59 d	H7	19–21	3 h	2.02%
S2	Feb, Mar	59 d	H8	22–23	2 h	1.35%
S3	Apr, May	61 d	H1	00–05	6 h	4.18%
S3	Apr, May	61 d	H2	06–07	2 h	1.39%
S3	Apr, May	61 d	H3	08–11	4 h	2.79%
S3	Apr, May	61 d	H4	12–15	4 h	2.79%
S3	Apr, May	61 d	H5	16–17	2 h	1.39%
S3	Apr, May	61 d	H6	18–18	1 h	0.70%
S3	Apr, May	61 d	H7	19–21	3 h	2.09%
S3	Apr, May	61 d	H8	22–23	2 h	1.39%
S4	Jun, Jul	61 d	H1	00–05	6 h	4.18%
S4	Jun, Jul	61 d	H2	06–07	2 h	1.39%
S4	Jun, Jul	61 d	H3	08–11	4 h	2.79%
S4	Jun, Jul	61 d	H4	12–15	4 h	2.79%
S4	Jun, Jul	61 d	H5	16–17	2 h	1.39%
S4	Jun, Jul	61 d	H6	18–18	1 h	0.70%
S4	Jun, Jul	61 d	H7	19–21	3 h	2.09%
S4	Jun, Jul	61 d	H8	22–23	2 h	1.39%
S5	Aug, Sep	61 d	H1	00–05	6 h	4.18%
S5	Aug, Sep	61 d	H2	06–07	2 h	1.39%
S5	Aug, Sep	61 d	H3	08–11	4 h	2.79%
S5	Aug, Sep	61 d	H4	12–15	4 h	2.79%
S5	Aug, Sep	61 d	H5	16–17	2 h	1.39%
S5	Aug, Sep	61 d	H6	18–18	1 h	0.70%
S5	Aug, Sep	61 d	H7	19–21	3 h	2.09%
S5	Aug, Sep	61 d	H8	22–23	2 h	1.39%
S6	Oct, Nov	61 d	H1	00–05	6 h	4.18%
S6	Oct, Nov	61 d	H2	06–07	2 h	1.39%
S6	Oct, Nov	61 d	H3	08–11	4 h	2.79%
S6	Oct, Nov	61 d	H4	12–15	4 h	2.79%
S6	Oct, Nov	61 d	H5	16–17	2 h	1.39%
S6	Oct, Nov	61 d	H6	18–18	1 h	0.70%
S6	Oct, Nov	61 d	H7	19–21	3 h	2.09%
S6	Oct, Nov	61 d	H8	22–23	2 h	1.39%

ts_48h

4 seasons × 12 day-blocks (1–6 h). Slice weight 1.03–6.30% of the year.

season	months	days	block	clock_hours	hours	share_of_year
S1	Dec, Jan, Feb	90 d	H01	21–02	6 h	6.16%
S1	Dec, Jan, Feb	90 d	H02	03–05	3 h	3.08%
S1	Dec, Jan, Feb	90 d	H03	06–06	1 h	1.03%
S1	Dec, Jan, Feb	90 d	H04	07–07	1 h	1.03%
S1	Dec, Jan, Feb	90 d	H05	08–08	1 h	1.03%
S1	Dec, Jan, Feb	90 d	H06	09–10	2 h	2.05%
S1	Dec, Jan, Feb	90 d	H07	11–12	2 h	2.05%
S1	Dec, Jan, Feb	90 d	H08	13–14	2 h	2.05%
S1	Dec, Jan, Feb	90 d	H09	15–16	2 h	2.05%
S1	Dec, Jan, Feb	90 d	H10	17–17	1 h	1.03%
S1	Dec, Jan, Feb	90 d	H11	18–18	1 h	1.03%
S1	Dec, Jan, Feb	90 d	H12	19–20	2 h	2.05%
S2	Mar, Apr, May	92 d	H01	21–02	6 h	6.30%
S2	Mar, Apr, May	92 d	H02	03–05	3 h	3.15%
S2	Mar, Apr, May	92 d	H03	06–06	1 h	1.05%
S2	Mar, Apr, May	92 d	H04	07–07	1 h	1.05%
S2	Mar, Apr, May	92 d	H05	08–08	1 h	1.05%
S2	Mar, Apr, May	92 d	H06	09–10	2 h	2.10%
S2	Mar, Apr, May	92 d	H07	11–12	2 h	2.10%
S2	Mar, Apr, May	92 d	H08	13–14	2 h	2.10%
S2	Mar, Apr, May	92 d	H09	15–16	2 h	2.10%
S2	Mar, Apr, May	92 d	H10	17–17	1 h	1.05%
S2	Mar, Apr, May	92 d	H11	18–18	1 h	1.05%
S2	Mar, Apr, May	92 d	H12	19–20	2 h	2.10%
S3	Jun, Jul, Aug	92 d	H01	21–02	6 h	6.30%
S3	Jun, Jul, Aug	92 d	H02	03–05	3 h	3.15%
S3	Jun, Jul, Aug	92 d	H03	06–06	1 h	1.05%
S3	Jun, Jul, Aug	92 d	H04	07–07	1 h	1.05%
S3	Jun, Jul, Aug	92 d	H05	08–08	1 h	1.05%
S3	Jun, Jul, Aug	92 d	H06	09–10	2 h	2.10%
S3	Jun, Jul, Aug	92 d	H07	11–12	2 h	2.10%
S3	Jun, Jul, Aug	92 d	H08	13–14	2 h	2.10%
S3	Jun, Jul, Aug	92 d	H09	15–16	2 h	2.10%
S3	Jun, Jul, Aug	92 d	H10	17–17	1 h	1.05%
S3	Jun, Jul, Aug	92 d	H11	18–18	1 h	1.05%
S3	Jun, Jul, Aug	92 d	H12	19–20	2 h	2.10%
S4	Sep, Oct, Nov	91 d	H01	21–02	6 h	6.23%
S4	Sep, Oct, Nov	91 d	H02	03–05	3 h	3.12%
S4	Sep, Oct, Nov	91 d	H03	06–06	1 h	1.04%
S4	Sep, Oct, Nov	91 d	H04	07–07	1 h	1.04%
S4	Sep, Oct, Nov	91 d	H05	08–08	1 h	1.04%
S4	Sep, Oct, Nov	91 d	H06	09–10	2 h	2.08%
S4	Sep, Oct, Nov	91 d	H07	11–12	2 h	2.08%
S4	Sep, Oct, Nov	91 d	H08	13–14	2 h	2.08%
S4	Sep, Oct, Nov	91 d	H09	15–16	2 h	2.08%
S4	Sep, Oct, Nov	91 d	H10	17–17	1 h	1.04%
S4	Sep, Oct, Nov	91 d	H11	18–18	1 h	1.04%
S4	Sep, Oct, Nov	91 d	H12	19–20	2 h	2.08%

ts_72

6 seasons × 12 day-blocks (same day as ts_48h). Slice weight 0.67–4.25% of the year.

season	months	days	block	clock_hours	hours	share_of_year
S1	Dec, Jan	62 d	H01	21–02	6 h	4.25%
S1	Dec, Jan	62 d	H02	03–05	3 h	2.12%
S1	Dec, Jan	62 d	H03	06–06	1 h	0.71%
S1	Dec, Jan	62 d	H04	07–07	1 h	0.71%
S1	Dec, Jan	62 d	H05	08–08	1 h	0.71%
S1	Dec, Jan	62 d	H06	09–10	2 h	1.42%
S1	Dec, Jan	62 d	H07	11–12	2 h	1.42%
S1	Dec, Jan	62 d	H08	13–14	2 h	1.42%
S1	Dec, Jan	62 d	H09	15–16	2 h	1.42%
S1	Dec, Jan	62 d	H10	17–17	1 h	0.71%
S1	Dec, Jan	62 d	H11	18–18	1 h	0.71%
S1	Dec, Jan	62 d	H12	19–20	2 h	1.42%
S2	Feb, Mar	59 d	H01	21–02	6 h	4.04%
S2	Feb, Mar	59 d	H02	03–05	3 h	2.02%
S2	Feb, Mar	59 d	H03	06–06	1 h	0.67%
S2	Feb, Mar	59 d	H04	07–07	1 h	0.67%
S2	Feb, Mar	59 d	H05	08–08	1 h	0.67%
S2	Feb, Mar	59 d	H06	09–10	2 h	1.35%
S2	Feb, Mar	59 d	H07	11–12	2 h	1.35%
S2	Feb, Mar	59 d	H08	13–14	2 h	1.35%
S2	Feb, Mar	59 d	H09	15–16	2 h	1.35%
S2	Feb, Mar	59 d	H10	17–17	1 h	0.67%
S2	Feb, Mar	59 d	H11	18–18	1 h	0.67%
S2	Feb, Mar	59 d	H12	19–20	2 h	1.35%
S3	Apr, May	61 d	H01	21–02	6 h	4.18%
S3	Apr, May	61 d	H02	03–05	3 h	2.09%
S3	Apr, May	61 d	H03	06–06	1 h	0.70%
S3	Apr, May	61 d	H04	07–07	1 h	0.70%
S3	Apr, May	61 d	H05	08–08	1 h	0.70%
S3	Apr, May	61 d	H06	09–10	2 h	1.39%
S3	Apr, May	61 d	H07	11–12	2 h	1.39%
S3	Apr, May	61 d	H08	13–14	2 h	1.39%
S3	Apr, May	61 d	H09	15–16	2 h	1.39%
S3	Apr, May	61 d	H10	17–17	1 h	0.70%
S3	Apr, May	61 d	H11	18–18	1 h	0.70%
S3	Apr, May	61 d	H12	19–20	2 h	1.39%
S4	Jun, Jul	61 d	H01	21–02	6 h	4.18%
S4	Jun, Jul	61 d	H02	03–05	3 h	2.09%
S4	Jun, Jul	61 d	H03	06–06	1 h	0.70%
S4	Jun, Jul	61 d	H04	07–07	1 h	0.70%
S4	Jun, Jul	61 d	H05	08–08	1 h	0.70%
S4	Jun, Jul	61 d	H06	09–10	2 h	1.39%
S4	Jun, Jul	61 d	H07	11–12	2 h	1.39%
S4	Jun, Jul	61 d	H08	13–14	2 h	1.39%
S4	Jun, Jul	61 d	H09	15–16	2 h	1.39%
S4	Jun, Jul	61 d	H10	17–17	1 h	0.70%
S4	Jun, Jul	61 d	H11	18–18	1 h	0.70%
S4	Jun, Jul	61 d	H12	19–20	2 h	1.39%
S5	Aug, Sep	61 d	H01	21–02	6 h	4.18%
S5	Aug, Sep	61 d	H02	03–05	3 h	2.09%
S5	Aug, Sep	61 d	H03	06–06	1 h	0.70%
S5	Aug, Sep	61 d	H04	07–07	1 h	0.70%
S5	Aug, Sep	61 d	H05	08–08	1 h	0.70%
S5	Aug, Sep	61 d	H06	09–10	2 h	1.39%
S5	Aug, Sep	61 d	H07	11–12	2 h	1.39%
S5	Aug, Sep	61 d	H08	13–14	2 h	1.39%
S5	Aug, Sep	61 d	H09	15–16	2 h	1.39%
S5	Aug, Sep	61 d	H10	17–17	1 h	0.70%
S5	Aug, Sep	61 d	H11	18–18	1 h	0.70%
S5	Aug, Sep	61 d	H12	19–20	2 h	1.39%
S6	Oct, Nov	61 d	H01	21–02	6 h	4.18%
S6	Oct, Nov	61 d	H02	03–05	3 h	2.09%
S6	Oct, Nov	61 d	H03	06–06	1 h	0.70%
S6	Oct, Nov	61 d	H04	07–07	1 h	0.70%
S6	Oct, Nov	61 d	H05	08–08	1 h	0.70%
S6	Oct, Nov	61 d	H06	09–10	2 h	1.39%
S6	Oct, Nov	61 d	H07	11–12	2 h	1.39%
S6	Oct, Nov	61 d	H08	13–14	2 h	1.39%
S6	Oct, Nov	61 d	H09	15–16	2 h	1.39%
S6	Oct, Nov	61 d	H10	17–17	1 h	0.70%
S6	Oct, Nov	61 d	H11	18–18	1 h	0.70%
S6	Oct, Nov	61 d	H12	19–20	2 h	1.39%