Temporal dimension - TIAM-UCL: Difference between revisions

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Base year is 2005 with data taken from IEA Energy Balances.
The model base year is 2005 with data taken from IEA Energy Balances.


The model time horizon is 95 years (2005-2100) with 10 year time steps. Each year is divided to six time slices  + an additional peaking constraint.
The model time horizon is 95 years (2005-2100) with 5 year time steps up to 2070 and with 10 year time steps beyond.  
Each year is 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).
Demand fractions (see Table 1.2) 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).
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).

Latest revision as of 21:21, 14 December 2016

Model Documentation - 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)

    The model base year is 2005 with data taken from IEA Energy Balances.

    The model time horizon is 95 years (2005-2100) with 5 year time steps up to 2070 and with 10 year time steps beyond. Each year is divided to six time slices + an additional peaking constraint.

    Demand fractions (see Table 1.2) 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.