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

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...

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Main Authors: Jan-Philip Beck, Parantapa Sawant, Simon Ruben Drauz, Jan Sören Schwarz, Annika Heyer, Philipp Huismann
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/13/4712
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author Jan-Philip Beck
Parantapa Sawant
Simon Ruben Drauz
Jan Sören Schwarz
Annika Heyer
Philipp Huismann
author_facet Jan-Philip Beck
Parantapa Sawant
Simon Ruben Drauz
Jan Sören Schwarz
Annika Heyer
Philipp Huismann
author_sort Jan-Philip Beck
collection DOAJ
description 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, µGRiDS, 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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spelling doaj.art-b0d7a7d0a7ba4eefac82cdf61d9d5aa22023-11-23T19:56:10ZengMDPI AGEnergies1996-10732022-06-011513471210.3390/en15134712Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System AnalysisJan-Philip Beck0Parantapa Sawant1Simon Ruben Drauz2Jan Sören Schwarz3Annika Heyer4Philipp Huismann5Institute of Automation Technology, Helmut Schmidt University/University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043 Hamburg, GermanyInstitute of Sustainable Energy Systems, Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, GermanyFraunhofer Institute for Energy Economics and Energy System Technology, Königstor 59, 34119 Kassel, GermanyOFFIS—Institute for Information Technology, Escherweg 2, 26121 Oldenburg, GermanyGas- und Wärme-Institut Essen e.V., Hafenstraße 101, 45356 Essen, GermanyGas- und Wärme-Institut Essen e.V., Hafenstraße 101, 45356 Essen, GermanySimulation 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, µGRiDS, 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.https://www.mdpi.com/1996-1073/15/13/4712operational energy system analysismodel comparisoncomponent-orientedsystem-orientedchp simulationheat pump simulation
spellingShingle Jan-Philip Beck
Parantapa Sawant
Simon Ruben Drauz
Jan Sören Schwarz
Annika Heyer
Philipp Huismann
Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis
Energies
operational energy system analysis
model comparison
component-oriented
system-oriented
chp simulation
heat pump simulation
title Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis
title_full Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis
title_fullStr Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis
title_full_unstemmed Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis
title_short Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis
title_sort comparison of component oriented and system oriented modeling in the context of operational energy system analysis
topic operational energy system analysis
model comparison
component-oriented
system-oriented
chp simulation
heat pump simulation
url https://www.mdpi.com/1996-1073/15/13/4712
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