Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/234071
Authors: 
Kallabis, Thomas
Year of Publication: 
2020
Series/Report no.: 
HEMF Working Paper No. 06/2020
Abstract: 
Energy system models are limited in their scope and level of disaggregation by the availability offast computing hardware. While improvements in hardware and solver developments have led toan increasing size of solvable models, problems with high temporal and geographical resolutionremain difficult to solve in one loop. In this paper, we evaluate the use of rolling planning as aspeed-up method for energy system models. In a stylized model, we highlight potential issuesthat occur at the boundary of optimization horizons, especially regarding time-linking constraintssuch as energy storage balances. In multiple configurations of the energy system model WILMAR-JMM, we investigate the tradeoff between solution quality and problem size / solution time thatcharacterize the use of rolling planning.
Subjects: 
Energy system model
rolling-horizon optimization
linear programming
Document Type: 
Working Paper

Files in This Item:
File
Size
1.87 MB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.