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Model Coupling and Energy Systems 2022

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1819

Special Issue Editors


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Guest Editor
Chair of energy economics, Technische Universität Dresden, D-01062 Dresden, Germany
Interests: energy system; energy market modelling; energy market design; long-range developments of energy markets; renewable energies and system integration
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Guest Editor
Head of Energy Policy und Energy Systems bei umlaut company Jülich, North Rhine-Westphalia, Germany
Interests: energy systems analysis and assessment; sector coupling; greenhouse gas reduction strategies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The degree of complexity of energy systems has significantly increased in the context of high shares of renewables, decarbonisation goals, environmental aspects, economic interactions, etc. Therefore, the development of energy scenarios or greenhouse gas reduction strategies requires the use of model approaches to understand the interdependencies of different technologies and policy measures at the different levels (from regional via national to European level) of the energy sector.

However, different methodologies, model types (technical, economic, etc.), and model coupling approaches are used for energy systems assessment, which themselves significantly impact the scenario results. The methodology can range from pure optimisation models that specifically analyse the development from a cost optimal perspective via models that take into account strategic behaviour, e.g., using mixed complementarity formulations for modelling market equilibriums, as well as taking into account other concepts, like agent-based simulation or system dynamics. In general, the research should demonstrate an additional value for a relevant research question in the energy sector.

Therefore, this Special Issue welcomes research focusing on models, model coupling concepts, and methodological approaches.

Your contribution may describe models, model coupling concepts suitable for generating energy scenarios, and greenhouse gas reduction scenarios on different system levels (international, national, sectoral, urban, infrastructures, etc.).

Prof. Dr. Dominik Möst
Dr. Martin Robinius
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • modeling of energy systems or energy markets
  • model coupling
  • energy supply
  • greenhouse gas reduction strategies
  • energy infrastructures
  • energy sector
  • end use sectors

Published Papers (1 paper)

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Research

22 pages, 4123 KiB  
Article
Comparison of Component-Oriented and System-Oriented Modeling in the Context of Operational Energy System Analysis
by Jan-Philip Beck, Parantapa Sawant, Simon Ruben Drauz, Jan Sören Schwarz, Annika Heyer and Philipp Huismann
Energies 2022, 15(13), 4712; https://doi.org/10.3390/en15134712 - 27 Jun 2022
Cited by 1 | Viewed by 1205
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Model Coupling and Energy Systems 2022)
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