Presentation is loading. Please wait.

Presentation is loading. Please wait.

Basics of energy modelling III: Time representation and considerations

Similar presentations


Presentation on theme: "Basics of energy modelling III: Time representation and considerations"— Presentation transcript:

1 Basics of energy modelling III: Time representation and considerations
CLEWS Summer School, ICTP (Trieste), Italy, 13 June, 2017

2 Time representation Long-term energy system models:
Span a large time horizon (e.g – 2050) Consider a large set of technologies Span a large geographical region (e.g. USA, Africa, Europe, China) Need to capture temporal variations: Variability of supply (e.g. wind, solar, hydro) Variability of demand (e.g. seasonal, monthly, weekly, daily) Peak load requirements Trade-off between level of detail and computational cost

3 What are Time Slices? Each year divided into representative time periods known as Time Slices: (Summer-Winter-Intermediate) x (Day- Night) = 6 Time Slices (Jan-Feb-Mar-…-Dec) x (Weekday- Weekend) x (Day-Night) = 48 Time Slices (365 days) x (24 hours) = 8760 Time Slices Number of Time Slices in OSeMOSYS is practically unlimited Time Slice definition is consistently applied for the entire model 8760 Electricity demand Water resources

4 Example of Time Slice definition
2017 2050 Model horizon Annual Seasonal Weekly Daily Source: R. Loulou, U. Remne, A. Kanudia, A. Lehtila, and G. Goldstein. Documentation for the TIMES model: Part I. ETSAP, April 2005

5 Time Slice-related parameters
Year Split: Duration of each Time Slice as a fraction of a year Capacity Factor: Fraction of a technology’s capacity that can be utilized in each Time Slice Specified Annual Demand*: Fraction of annual demand for a commodity in a each Time Slice *Accumulated Annual Demand: Total annual demand for a commodity. Can be balanced in any Time Slice. Supply and demand for commodities is balanced for each Time Slice

6 Time Slice Definition (Example of Bolivia)
Yearly load curve and hydro production for Bolivia in Based on the hydro power production and the months with high electricity demand, the year was split into the following sections

7 Time Slice Definition (Example cont.)
Year divided in four Seasons Season 1: 1st January to 30th April Season 2: 1st May to 31st August Season 3: 1st September to 30th November Season 4: 1st December to 31st December

8 Time Slice Definition (Example cont.)
Season 1 Season 2

9 Time Slice Definition (Example cont.)
Season 3 Season 4

10 Time Slice Definition: Exercise 1
01:00-07:00 07:00-18:00 18:00-22:00 22:00-01:00 Seasons 6 hours 11 hours 4 hours 3 hours Season 1 (Jan-Apr) ? Season 2 (May-Aug) Season 3 (Sep-Nov) Season 4 (Dec)

11 Time Slice Definition: Exercise 1
Time (duration) 01:00-07:00 07:00-18:00 18:00-22:00 22:00-01:00 6 hours 11 hours 4 hours 3 hours Total = 24 hours Season 1 (Jan-Apr) 120 days Season 2 (May-Aug) 123 days Season 3 (Sep-Nov) 91 days Season 4 (Dec) 31 days Total = 365 days Total = 8760 hours

12 Exercise 2: Earlier example, with TimeSlices
NOTE: ‘SpecifiedAnnualDemand’ instead of ‘AccumulatedAnnualDemand’ YearSplit Day Night 6:00-18:00 18:00-6:00 12 hours Summer 4 months 0.1667 Winter Intermediate SpecifiedDemandProfile Day Night 7:00-19:00 19:00-7:00 12 hours Summer 4 months 0.15 0.05 Winter 0.5 0.1 Intermediate

13 Exercise 2: Earlier example, with TimeSlices

14 Exercise 2: YearSplit

15 Exercise 2: SpecifiedAnnualDemand

16 Exercise 2: SpecifiedDemandProfile

17 Exercise 2: Demand

18 Exercise 2: Results

19 Exercise 2: Results


Download ppt "Basics of energy modelling III: Time representation and considerations"

Similar presentations


Ads by Google