Refine
Document Type
- ZIB-Report (2)
- In Proceedings (1)
Language
- English (3)
Is part of the Bibliography
- no (3)
Keywords
Institute
- Energy Network Optimization (3) (remove)
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.
Project plan4res (www.plan4res.eu) involves the development of a modular framework for the modeling and analysis of energy system strategies at the European level. It will include models describing the investment and operation decisions for a wide variety of technologies related to electricity and non-electricity energy sectors across generation, consumption, transmission and distribution. The modularity of the framework allows for detailed modelling of major areas of energy systems that can help stakeholders from different backgrounds to focus on specific topics related to the energy landscape in Europe and to receive relevant outputs and insights tailored to their needs. The current paper presents a qualitative description of key concepts and methods of the novel modular optimization framework and provides insights into the corresponding energy landscape.
This paper gives an overview of the modeling
framework that is being developed within the Horizon2020 project
plan4res. In the context of energy transition, integration of high
shares of renewable energies will play a vital role for achieving the
proposed climate targets. This brings new challenges to modeling
tools, including data construction, implementation and solution
techniques. In order to address these challenges, plan4res aims to
create a well-structured and highly modular framework that will
provide insights into the needs of future energy systems. An
overview of the central modeling aspects is given in this paper.
Finally, three case studies are presented that show the adequacy
and relevance of the proposed optimization framework.