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Lessons learned from gas network data preprocessing

Please always quote using this URN: urn:nbn:de:0297-zib-78262
  • The German high-pressure natural gas transport network consists of thousands of interconnected elements spread over more than 120,000 km of pipelines built during the last 100 years. During the last decade, we have spent many person-years to extract consistent data out of the available sources, both public and private. Based on two case studies, we present some of the challenges we encountered. Preparing consistent, high-quality data is surprisingly hard, and the effort necessary can hardly be overestimated. Thus, it is particularly important to decide which strategy regarding data curation to adopt. Which precision of the data is necessary? When is it more efficient to work with data that is just sufficiently correct on average? In the case studies we describe our experiences and the strategies we adopted to deal with the obstacles and to minimize future effort. Finally, we would like to emphasize that well-compiled data sets, publicly available for research purposes, provide the grounds for building innovative algorithmic solutions to the challenges of the future.

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Author:Inci Yueksel-ErguenORCiD, Janina ZittelORCiD, Ying WangORCiD, Felix HenningsORCiD, Thorsten KochORCiD
Document Type:ZIB-Report
Date of first Publication:2020/05/04
Series (Serial Number):ZIB-Report (20-13)
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