GIS-based scenario calculations for a nationwide German hydrogen pipeline infrastructure

Baufumé, Sylvestre; Grüger, Fabian; Grube, Thomas; Krieg, Dennis; Linßen, Jochen; Weber, Michaël; Hake, Jürgen‐Friedrich; Stolten, Detlef

doi:10.1016/j.ijhydene.2012.12.147

Cited by 104 publications

(39 citation statements)

References 30 publications

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“…The methodological formulation of the described model is constructed from an amalgamation of models developed by students and doctoral candidates working at the IEK-3 at the Forschungszentrum Jülich (Jülich, Germany) over the last few years (selection: [12,[16][17][18][19][20][21][22][23][24][25][26]). Currently, these models correspond to a variety of environments; however, an effort has begun to implement all procedures in the Python programming language.…”

Section: The Metis Packagementioning

confidence: 99%

“…Nevertheless, for a high demand and a distance with more than 300 km, a hydrogen pipeline is the cheapest solution. The methodology of calculating hydrogen pipelines is derived from the work of Grüger [67], Krieg [29] and Baufumé et al [26], respectively. Within the scope of the latter, the shortest distance between sources-coal gasification and offshore wind farm aggradation areas-and sinks-9860 filling stations-are determined via existing lines.…”

Section: Hydrogen Transportmentioning

confidence: 99%

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Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

et al. 2017

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"Linking the power and transport sectors-Part 1" describes the general principle of "sector coupling" (SC), develops a working definition intended of the concept to be of utility to the international scientific community, contains a literature review that provides an overview of relevant scientific papers on this topic and conducts a rudimentary analysis of the linking of the power and transport sectors on a worldwide, EU and German level. The aim of this follow-on paper is to outline an approach to the modelling of SC. Therefore, a study of Germany as a case study was conducted. This study assumes a high share of renewable energy sources (RES) contributing to the grid and significant proportion of fuel cell vehicles (FCVs) in the year 2050, along with a dedicated hydrogen pipeline grid to meet hydrogen demand. To construct a model of this nature, the model environment "METIS" (models for energy transformation and integration systems) we developed will be described in more detail in this paper. Within this framework, a detailed model of the power and transport sector in Germany will be presented in this paper and the rationale behind its assumptions described. Furthermore, an intensive result analysis for the power surplus, utilization of electrolysis, hydrogen pipeline and economic considerations has been conducted to show the potential outcomes of modelling SC. It is hoped that this will serve as a basis for researchers to apply this framework in future to models and analysis with an international focus.

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Section: The Metis Packagementioning

confidence: 99%

Section: Hydrogen Transportmentioning

confidence: 99%

Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

et al. 2017

Self Cite

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“…However, the GIS tool for the specific DH routing design is rare. A relevant work may be a GIS tool for hydrogen pipeline network design [29].…”

Section: Gis Tools For Designersmentioning

confidence: 99%

A Convenient Tool for District Heating Route Optimization Based on Parallel Ant Colony System Algorithm and 3D WebGIS

Zhang

Zhao

et al. 2019

IJGI

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In a district heating engineering project, the design of the heating route is an indispensable but laborious process. This paper proposes a planning indicator to measure the suitability of a candidate heating route, and provides an intelligent method and a convenient tool for the preliminary design of the district heating route. The Fengrun heating engineering project was chosen as a case study. The remote sensing imagery and OpenStreetMap were used as the data sources. First, the remote sensing imagery was classified into five classes and converted into binary images. Second, the district heating route planning indicator was defined based on the cost function. The cost function and the updating strategy of the ant colony system algorithm were modified according to the heating route selection requirement. Additionally, the parallel computing technology was adopted to improve the efficiency. With the help of the open source Cesium engine and the three-dimensional (3D) WebGIS technology, an interactive route design platform that combined our algorithm was finally provided. The optimum routes by the platform were compared to the corresponding sequential algorithm, the route selected manually, as well as the commercial ArcGIS platform. The proposed algorithm can get 28 candidate routes with better indicator values than the manually selected route. Compared to the corresponding sequential algorithm, our algorithm improved the efficiency by 4.789 times. The proposed 3D WebGIS tool is more applicable and user-friendly for the heating route design.

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“…The MARKAL model has been applied to the UK with a GIS-based spatial model to represent the layout of hydrogen infrastructure (Yang and Ogden, April 2013). The design of pipeline systems based on GIS scenarios is presented in (Marcoulaki et al, Dec. 2012) (using stochastic optimisation and GIS) and in (Baufumé et al, April 2013) for a nationwide German hydrogen pipeline infrastructure assuming high penetration of hydrogen-fuelled vehicles for Germany in 2050. They calculate the preliminary layouts, dimensions and costs of nationwide capacitated pipeline networks transporting hydrogen from central production plants to refuelling stations.…”

Section: Geographic Studiesmentioning

confidence: 99%

Deployment of a hydrogen supply chain by multi-objective/multi-period optimisation at regional and national scales

Almaraz

Azzaro‐Pantel

Montastruc

et al. 2015

Chemical Engineering Research and Design

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Hydrogen supply chain MILP -ConstraintMultiple criteria decision-making Geographic information system a b s t r a c tThis study focuses on the development of a methodological framework for the design of a five-echelon hydrogen supply chain (HSC) (energy source, production, storage, transportation and fuelling station) considering the geographic level of implementation. The formulation based on mixed integer linear programming involves a multi-criteria approach where three objectives have to be optimised simultaneously, i.e., cost, global warming potential and safety risk. The objective is twofold: first, to test the robustness of the method proposed in De-Leon (2014) from a regional to a national geographic scale and, secondly, to examine the consistency of the results. A new phase of data collection and demand scenarios are performed to be adapted to the French case based on the analysis of roadmaps. In this case study, the ArcGIS ® spatial tool is used to locate the supply chain elements before and after optimisation. The multi-objective optimisation approach by the -constraint method is applied, analysed and discussed. Finally, a comparison between the results of different geographic scale cases is carried out.

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GIS-based scenario calculations for a nationwide German hydrogen pipeline infrastructure

Cited by 104 publications

References 30 publications

Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

A Convenient Tool for District Heating Route Optimization Based on Parallel Ant Colony System Algorithm and 3D WebGIS

Deployment of a hydrogen supply chain by multi-objective/multi-period optimisation at regional and national scales

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