The research project "NEDS - Nachhaltige Energieversorgung Niedersachsen" (Sustainable Energy Supply Lower Saxony) has the goal to develop and evaluate sustainability scenarios for the electric power system of Lower Saxony in the year 2050. The scenarios are based on a power supply system with significant amount of renewable energy sources. Further the sustainability of technically feasible transition paths to achieve the targets determined in the scenarios will be analysed. Within the project a power supply system is considered sustainable if it meets the needs of the present without compromising the ability of future generations in the year 2050 and ahead to meet their own needs. These studies will include the environment of the state of Lower Saxony, the use of natural resources, socio-economic impact and social acceptability of possible characteristics of a reliable, secure and technically feasible electric power system.
Sustainability criteria and parameters of target states for the year 2050 will be communicated in the early stage of the project. This is accomplished by the organisation of a symposium with a broad range of stakeholders from government, industry, associations of environmental and social sectors as well as consumers. With the help of the symposium sustainability criteria and weighting factors should be defined. Further possible parameters for the definition of long-term target scenarios for the year 2050 should be developed.
During the creation of transition paths into sustainable target states technical, social, environmental and economic parameters will be analysed with the help of corresponding models in the context of a multiple-criteria decision analysis. Moreover, the project establishes a focus on the identification and analysis of the couplings and interactions of the sub models of the four parameter ranges. This allows an interdisciplinary project consortium, as well as an introduction of the project in terms of socially relevant groups and goes far beyond previous techno-economically evaluated studies of target scenarios.
Marita Blank, Christoph Blaufuß, Markus Glötzel, Julien Minnemann, Astrid Nieße, Frank Pothen, Christian Reinhold, Jan Sören Schwarz, Katharina Stahlecker, Farina Wille, Tobias Witt, Torsten Rendel, Frank Eggert, Bernd Engel, Jutta Geldermann, Lutz Hofmann, Michael Hübler, Sebastian Lehnhoff, Niko Paech, Michael Sonnenschein; 12 / 2016
Jan Sören Schwarz, Tobias Witt, Astrid Nieße, Jutta Geldermann, Sebastian Lehnhoff, Michael Sonnenschein; Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems; 0April / 2017
Jan Sören Schwarz, Sebastian Lehnhoff; Proceedings of the EKAW 2018 Posters and Demonstrations Session (EKAW-PD 2018), Nancy, France, November 12-16, 2018.; 11 / 2018
Schwarz, Jan Sören and Witt, Tobias and Nieße, Astrid and Geldermann, Jutta and Lehnhoff, Sebastian and Sonnenschein, Michael; Smart Cities, Green Technologies, and Intelligent Transport Systems; 2019
J. S. Schwarz and C. Steinbrink and S. Lehnhoff; 2019 7th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES); 0April / 2019
Marita Blank, Christoph Blaufuß, Markus Glötzel, Julien Minnemann, Marvin Nebel-Wenner, Astrid Nieße, FrankPothen, Christian Reinhold, Jan Sören Schwarz, Katharina Stahlecker, Farina Wille, TobiasWitt, Frank Eggert, Bernd Engel, Jutta Geldermann, Lutz Hofmann, Michael Hübler, Sebastian Lehnhoff, Niko Paech, Michael Sonnenschein; 0Juni / 2019
Schwarz, J. and Lehnhoff, S; Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD; 0September / 2019
Marvin Nebel-Wenner,Christian Reinhold,Farina Wille,Astrid Nieße,Michael Sonnenschein; Energy Informatics; 0September / 2019
Blaufuß, C, Dumeier M, Kleinau M, Krause H, Minneman J, Nebel-Wenner M, Reinhold C, Schwarz JS, Wille F, Witt T, Busse C, Eggert F, Engel B, Geldermann J, Hofmann L, Hübler M, Lehnhoff S, Sonnenschein M, Seidel J; 12 / 2019
Schwarz, Jan Sören and Elshinawy, Rami and Ramírez Acosta, Rebeca P. and Lehnhoff, Sebastian; Knowledge Discovery, Knowledge Engineering and Knowledge Management; 2021
FKZ: 11-76251-17-11/14 (ZN3043)