Time-slice tool for capturing the characteristics of intermittent renewables
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The document discusses developing a time-slice tool to better capture the variability of intermittent renewables like solar and wind power. It explores setting up different time slices and compares approaches like using a traditional number of time slices versus increasing time slices or using representative days. The goal is to endogenously determine the best tradeoff between number of days and time slice resolution. Results are presented comparing approaches with different numbers of representative days and time slices. A final time-slice tool is planned with inputs for time series data, a maximum number of time slices, and outputs including the number and weights of time slices and values for loads and renewables in each time slice.
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Time-slice tool for capturing the characteristics of intermittent renewables
- 1. Time-slice tool for capturing the characteristics of intermittent renewables ETSAP Workshop Sophia Antipolis Kris Poncelet
- 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. 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. 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. 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. 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. 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. 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. 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. 105/11/2015 Results – 2 representative days LOAD PV WIND RESIDUAL LOAD
- 11. 115/11/2015 Results – 8 representative days LOAD PV WIND RESIDUAL LOAD
- 12. 125/11/2015 Results – 24 representative days LOAD PV WIND RESIDUAL LOAD
- 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. 145/11/2015 Results – 2 representative days LOAD PV WIND RESIDUAL LOAD 24 time slices
- 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. 165/11/2015 Results – 8 representative days LOAD PV WIND RESIDUAL LOAD 288 time slices
- 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. 185/11/2015 Cost and timeline Draft version: May 2016, presented in Cork Final version: ETSAP meeting autumn 2016 Estimated costs: €24850