Temporal dimension - TIAM-UCL - Revision history

Matthew Winning at 19:21, 14 December 2016

2016-12-14T19:21:39Z

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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).

Matthew Winning at 10:44, 10 October 2016

2016-10-10T10:44:56Z

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

	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 determine the fraction of service demand to be met during a specific period of the day in a given season (or timeslice).

Rineke Oostenrijk: 1 revision imported

2016-08-17T10:07:13Z

1 revision imported

← Older revision

Revision as of 12:07, 17 August 2016

Rineke Oostenrijk at 13:53, 16 August 2016

2016-08-16T13:53:15Z

New page

{{ModelDocumentationTemplate
|IsDocumentationOf=TIAM-UCL
|DocumentationCategory=Temporal dimension
}}
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'''

{| class="wikitable"
|width="25%"|'''Time slice'''
|width="25%"|'''Month share'''
|width="25%"|'''Day share'''
|width="25%"|'''Fraction'''
|-
|'''ID'''
|0.333 (4 months)
|0.666 (16 hours)
|0.223
|-
|'''IN'''
|<br />
|0.333 (8 hours)
|0.111
|-
|'''SD'''
|0.333
|0.666
|0.223
|-
|'''SN'''
|<br />
|0.333
|0.111
|-
|'''WD'''
|0.333
|0.666
|0.221
|-
|'''WN'''
|<br />
|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.