Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/234071 
Autor:innen: 
Erscheinungsjahr: 
2020
Schriftenreihe/Nr.: 
HEMF Working Paper No. 06/2020
Verlag: 
University of Duisburg-Essen, House of Energy Markets & Finance (HEMF), Essen
Zusammenfassung: 
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.
Schlagwörter: 
Energy system model
rolling-horizon optimization
linear programming
Dokumentart: 
Working Paper

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