h1

h2

h3

h4

h5
h6
% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{Schumann:1010562,
      author       = {Schumann, Klemens},
      othercontributors = {Ulbig, Andreas and Wogrin, Sonja},
      title        = {{E}conomic and technical effects of large scale energy
                      sharing : a {G}erman case study},
      volume       = {235},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {printproduction M. Wolff},
      reportid     = {RWTH-2025-04183},
      isbn         = {3-9826354-5-4},
      series       = {Aachener Beiträge zur Energieversorgung},
      pages        = {xxi, 199 Seiten : Illustrationen},
      year         = {2025},
      note         = {Dissertation, RWTH Aachen University, 2025},
      abstract     = {Energy Sharing (ES) has been implemented within the
                      framework of the Clean Energy Package to support the energy
                      transition. The concept enables end customers to exchange
                      self-generated electricity within specific regional
                      boundaries. Germany intends to introduce ES but still needs
                      to define the precise regulatory design. While ES does not
                      lead to significant effects on a small scale, a successful
                      nationwide rollout of ES could lead to significant economic
                      and technical effects on stakeholders in the energy system.
                      Against this background, the work aims to determine the
                      technical and economic effects of a large-scale roll-out of
                      ES in Germany. To assess the nationwide impact of ES, a
                      methodological framework is developed that identifies
                      representative Decentralized Energy Systems (DESs) for the
                      entirety of Germany and models each representative DES for a
                      future scenario. The methodology subsequently utilizes a
                      deterministic model to simulate ES within each
                      representative DES, considering each end customer’s
                      flexibility operation, energy marketing, and various
                      regulatory design options. Furthermore, the methodology
                      incorporates simulations of the electric power flow within
                      the distribution grid. By extrapolating effects from each
                      DES to the national level, insights can be derived regarding
                      the large-scale implementation of ES. The developed method
                      is applied to a scenario representing the year 2037 in
                      Germany. While ES has potential benefits such as enhancing
                      end customers’ contribution margin and self-sufficiency,
                      the economic benefit primarily results from a monetary
                      redistribution within the energy system. Future benefits to
                      end customers from ES do not necessitate active subsidy
                      tariffs. The regional scope presents trade-offs between
                      added value for end customers and increased distribution
                      grid utilization. Allowing ES exclusively within the same
                      Low Voltage (LV) or Medium Voltage (MV) grid, while
                      prohibiting inter-grid sharing between LV and MV grids,
                      yields the most favorable trade-off. Dynamic electricity
                      tariffs present greater financial advantages for end
                      customers than ES; however, they adversely affect
                      self-sufficiency and distribution grid utilization. The
                      novel concept of ES can therefore set dynamic price
                      incentives for end customers in the future without having
                      too much of a negative impact on the utilization of the
                      electrical grid.},
      cin          = {614010},
      ddc          = {621.3},
      cid          = {$I:(DE-82)614010_20200506$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      url          = {https://publications.rwth-aachen.de/record/1010562},
}