4.5 Article

Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis

期刊

ENERGIES
卷 15, 期 13, 页码 -

出版社

MDPI
DOI: 10.3390/en15134712

关键词

operational energy system analysis; model comparison; component-oriented; system-oriented; chp simulation; heat pump simulation

资金

  1. German Federal Ministry for Economic Affairs and Climate Action
  2. Projekttrager Julich GmbH (PTJ) [FKZ: 03ET4078A-I]
  3. Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg

向作者/读者索取更多资源

Simulation-based studies are crucial for evaluating new energy technologies and concepts in the energy grid. In this paper, four different models representing various approaches are compared in real-world scenarios. The results indicate that simplified models are sufficient for system-wide analysis, but component-oriented approaches are more important for field-level operations.
Simulation based studies for operational energy system analysis play a significant role in evaluation of various new age technologies and concepts in the energy grid. Various modelling approaches already exist and in this original paper, four models representing these approaches are compared in two real-world hybrid energy system scenarios. The models, namely TransiEnt, mu GRiDS, and OpSim (including pandaprosumer and mosaic) are classified into component-oriented or system-oriented approaches as deduced from the literature research. The methodology section describes their differences under standard conditions and the necessary parameterization for the purpose of creating a framework facilitating a closest possible comparison. A novel methodology for scenario generation is also explained. The results help to quantify primary differences in these approaches that are also identified in literature and qualify the influence of the accuracy of the models for application in a system-wide analysis. It is shown that a simplified model may be sufficient for the system-oriented approach especially when the objective is an optimization-based control or planning. However, from a field level operational point of view, the differences in the time series signify the importance of the component-oriented approaches.

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