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  • 1
    Publication Date: 2019-06-05
    Description: This study aims to investigate the possible congestion in the German natural gas system, which may arise due to an increase in the gas consumption in the power sector in extreme weather events. For this purpose, we develop a two-stage approach to couple an electricity model and a natural gas network model. In this approach, we model the electricity system in the first stage to determine the gas demand in the power sector. We then use the calculated gas demand to model gas networks in the second stage, where we deploy a newly developed gas network model. As a case study, we primarily evaluate our methodological approach by re-simulating the cold weather event in 2012, which is seen as an extreme situation for the gas grids, challenging the security of supply. Accordingly, we use our coupled model to investigate potential congestion in the natural gas networks for the year 2030, using a scenario of a sustainable energy transition, where an increase in the gas consumption in the power industry is likely. Results for 2030 show a 51% increase in yearly gas demand in the power industry compared to 2012. Further, the simulation results show a gas supply interruption in two nodes in 2012. In 2030, the same nodes may face an (partial) interruption of gas supply in cold winter days such as the 6th of February 2012. In this day, the load shedding in the natural gas networks can increase up to 19 GWhth in 2030. We also argue that the interrupted electricity production, due to local gas interruptions, can easily be compensated by other power plants. However, these local gas interruptions may endanger the local heat production.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 2
    Publication Date: 2017-08-30
    Print ISSN: 0343-5377
    Electronic ISSN: 1866-2765
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Economics
    Published by Springer
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  • 3
    Publication Date: 2018-06-26
    Description: [Introduction] This data documentation describes a data set of the German electricity, heat, and natural gas sectors compiled within the research project ‘LKD-EU’ (Long-term planning and short-term optimization of the German electricity system within the European framework: Further development of methods and models to analyze the electricity system including the heat and gas sector). The project is a joined effort by the German Institute for Economic Research (DIW Berlin), the Workgroup for Infrastructure Policy (WIP) at Technische Universität Berlin (TUB), the Chair of Energy Economics (EE2) at Technische Universität Dresden (TUD), and the House of Energy Markets & Finance at University of Duisburg-Essen. The project was funded by the German Federal Ministry for Economic Affairs and Energy through the grant ‘LKD-EU’, FKZ 03ET4028A. The objective of this paper is to document a reference data set representing the status quo of the German energy sector. We also update and extend parts of the previous DIW Data Documentation 75 (Egerer et al. 2014). While the focus is on the electricity sector, the heat and natural gas sectors are covered as well. With this reference data set, we aim to increase the transparency of energy infrastructure data in Germany. On the one hand, this documentation presents sources of original data and information used for the data set. On the other hand, it elaborates on the methodologies which have been applied to derive the data from respective sources in order to make it useful for modeling purposes and to promote a discussion about the underlying assumptions. Furthermore, we briefly discuss the underlying regulations with regard to data transparency in the energy sector. Where not otherwise stated, the data included in this report is given with reference to the year 2015 for Germany. This document is structured as follows: Section 2 describes data of the German electricity sector and explains the methods for deriving this data. Section 3 discusses the data preparation for German heating networks. Section 4 covers the natural gas system in Germany. While Sections 2 to 4 focus on Germany, interactions on a European level are considered in a stylized way. Finally, Section 5 introduces some research questions to be answered with the help of the presented data set and discusses a range of limitations. The data set described in the following chapters can be downloaded from the Zenodo repository under the DOI https://doi.org/10.5281/zenodo.1044463.
    Keywords: ddc:330
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:report
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  • 4
    Publication Date: 2019-01-24
    Keywords: G38 ; Q42 ; Q54 ; ddc:330 ; Erneuerbare Energie ; Förderung erneuerbarer Energien ; Klimawandel ; Internationale Umweltpolitik ; Benchmarking ; Brasilien
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: Portuguese
    Type: doc-type:workingPaper
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  • 5
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    Kiel, Hamburg: ZBW – Leibniz Information Centre for Economics
    Publication Date: 2019-05-28
    Description: Natural gas is the fossil fuel with lowest CO2-emissions, compared to coal, lignite or oil. Regarding the ongoing energy transition in Germany, the extend usage of natural gas provide advantages that might be built a bridge to a low carbon energy system until 2050. Against this backdrop, this paper introduces a model for the German natural gas market (GAMAMOD-DE) with focus on infrastructure utilisation. Following a linear optimization approach, the model considers a highly resolved grid structure of pipelines, storages and cross-border connections to neighbouring countries. The spatial and temporal resolved gas demand is divided into three different sectors: industry, heating and electricity. An application for the year 2012 shows the performance and validation of the proposed model. Results show the utilisation of infrastructure and enable an assessment of the level of security of supply during the considered time frame. In addition, the findings suggest that although European customers suffered on cold winter days in 2012, from a system part of view, the security of supply (SoS) was always ensured. Further research should focus on analysing SoS and resilience of gas networks in the mid- and long-term, especially when sector coupling between electricity and gas is far advanced.
    Keywords: D61 ; L95 ; Q32 ; Q41 ; Q54 ; ddc:330 ; Linear problem optimization ; gas grid Germany ; sectoral, temporal, and spatial resolved demand ; energy security
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:workingPaper
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  • 6
    Publication Date: 2019-04-01
    Description: Für die Energiewende in Deutschland ist zeitnah ein nennenswerter Ausbau der Stromnetze auf Transport- und Verteilnetzebene erforderlich. Mittel- bis langfristig werden für die Umstellung der Strom- und Energieversorgung auf erneuerbaren Energien (EE) zusätzlich große Speicherkapazitäten benötigt. Dabei sind kostengünstige und mit minimalen Energieverlusten verbundene Speicher- und Erzeugungstechnologien anzustreben. Lösungsansätze dafür werden bisher überwiegend auf der Stromseite diskutiert. Chancen, die sich aus der Kopplung von Strom- und Gasnetzen ergeben, werden kaum wahrgenommen. Das erhebliche Lösungspotential der vorhandenen Gasinfrastruktur und -Anwendungstechnologien mittels Power-to-Gas sowie die damit verbundenen Auswirkungen auf eine nachhaltige Gestaltung der Energiewende finden zu wenig Beachtung. Vor diesem Hintergrund hatte das Forschungsvorhaben "Integration fluktuierender erneuerbarer Energien durch konvergente Nutzung von Strom und Gasnetzen - Konvergenz Strom- und Gasnetze" zum Ziel, unter Berücksichtigung der Kopplung von Strom- und Gasnetzen, (1) die Potenziale zur Aufnahme, Speicherung und Verteilung von EE zu bestimmen, (2) die dynamischen Energieströme aus Angebot und Nachfrage in der gesamten Energieversorgungsstruktur zu modellieren, (3) die Kopplung volkswirtschaftlich zu analysieren und (4) Handlungsempfehlungen für den Ausbau der Netzinfrastrukturen und die Entwicklung eines zukünftigen Energiemarktes abzuleiten.
    Keywords: ddc:600
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: report , doc-type:report
    Format: application/pdf
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