Time-slice tool for capturing the characteristics of intermittent renewables

173 views

Published on

Time-slice tool for capturing the characteristics of intermittent
renewables

Published in: Data & Analytics
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
173
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Time-slice tool for capturing the characteristics of intermittent renewables

  1. 1. Time-slice tool for capturing the characteristics of intermittent renewables ETSAP Workshop Sophia Antipolis Kris Poncelet
  2. 2. 25/11/2015 Project motivation Intermittent renewables: ? Need for back-up capacity ? ? Curtailment ? ? Need for flexibility ? ? Role of storage and demand side ? How to set-up the time- slices? Endogenous decision making Variability not captured by traditional approaches Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  3. 3. 35/11/2015 Project motivation Intermittent renewables: ? Need for back-up capacity ? ? Curtailment ? ? Need for flexibility ? ? Role of storage and demand side ? How to set-up the time- slices? Endogenous decision making Variability not captured by traditional approaches Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  4. 4. 45/11/2015 Project motivation Intermittent renewables: ? Need for back-up capacity ? ? Curtailment ? ? Need for flexibility ? ? Role of storage and demand side ? How to set-up the time- slices? Endogenous decision making Variability not captured by traditional approaches Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  5. 5. 55/11/2015 Project motivation Intermittent renewables: ? Need for back-up capacity ? ? Curtailment ? ? Need for flexibility ? ? Role of storage and demand side ? How to set-up the time- slices? Endogenous decision making Variability not captured by traditional approaches Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  6. 6. 65/11/2015 Different TS approaches Integral Traditional Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  7. 7. 75/11/2015 Integral increased # time slices Integral Traditional Different TS approaches Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  8. 8. 85/11/2015 Integral increased # time slices Integral with separate time slice level for RES availability Integral Traditional Different TS approaches Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  9. 9. 95/11/2015 Integral increased # time slices Integral with separate time slice level for RES availability Representative days (12) Integral Traditional Different TS approaches Poncelet K., Delarue E., Six D., Duerinck J., D’haeseleer W., Impact of the level of temporal and operational detail, Applied energy, accepted October 2015
  10. 10. 105/11/2015 Results – 2 representative days LOAD PV WIND RESIDUAL LOAD
  11. 11. 115/11/2015 Results – 8 representative days LOAD PV WIND RESIDUAL LOAD
  12. 12. 125/11/2015 Results – 24 representative days LOAD PV WIND RESIDUAL LOAD
  13. 13. 135/11/2015 Endogenous trade-off between #days and resolution Poncelet K., Höschle H., Delarue E., Duerinck J., D’haeseleer W., Selecting representative days for investment planning models, TME Working paper, http://www.mech.kuleuven.be/en/tme/research/energy_environment/Pdf/wpen 201510.pdf
  14. 14. 145/11/2015 Results – 2 representative days LOAD PV WIND RESIDUAL LOAD 24 time slices
  15. 15. 155/11/2015 Poncelet K., Höschle H., Delarue E., Duerinck J., D’haeseleer W., Selecting representative days for investment planning models, TME Working paper, http://www.mech.kuleuven.be/en/tme/research/energy_environment/Pdf/wpen 201510.pdf Endogenous trade-off between #days and resolution
  16. 16. 165/11/2015 Results – 8 representative days LOAD PV WIND RESIDUAL LOAD 288 time slices
  17. 17. 175/11/2015 Project deliverables Time slice Tool: Input: Data for different time series (e.g., load, wind , PV, etc.) Maximum number of time slices Output: (Number of time slices) Weight (G_YRFR) of every time slice Value for load (COM_FR) and RES (NCAP_AF) in every time slice Figures of the approximation of the duration curve of every time series Software: Excel, Access, GAMS To be made available on the ETSAP website Manual for use of the tool
  18. 18. 185/11/2015 Cost and timeline Draft version: May 2016, presented in Cork Final version: ETSAP meeting autumn 2016 Estimated costs: €24850

×