Temporal dimension - TIAM-UCL
| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | University College London (UCL), UK, https://www.ucl.ac.uk. |
| Solution concept | Partial equilibrium (price elastic demand) |
| Solution method | Linear optimisation |
| Anticipation | Perfect Foresight
(Stochastic and myopic runs are also possible) |
Base year is 2005 with data taken from IEA Energy Balances.
95 years (2005-2100), 10 year time step, year divided to six time slices + an additional peaking constraint.
Demand fractions determine the fraction of service demand to be met during a specific period of the day in a given season (or timeslice).
The temporal resolution is determined by three seasons, summer, winter and intermediate. Each of the seasons accounts for a third of the whole year or 4 month. These timeslices are again split into night and day, where day represents 16 hours and night 8 hours (Table 1-2).
Therefore there a six timeslice possibilities of:
- summer-day,
- summer-night,
- intermediary day,
- intermediary-night,
- winter-day,
- winter-night
Table 1.2: Fraction of energy-service demands
| Time slice | Month share | Day share | Fraction |
| ID | 0.333 (4 months) | 0.666 (16 hours) | 0.223 |
| IN | 0.333 (8 hours) | 0.111 | |
| SD | 0.333 | 0.666 | 0.223 |
| SN | 0.333 | 0.111 | |
| WD | 0.333 | 0.666 | 0.221 |
| WN | 0.333 | 0.111 |
The model is generally run with perfect foresight but can be run as myopic or stochastic though this is generally not the case.