  The decarbonization of municipal and district energy systems requires
economic and ecologic efficient transformation strategies in a wide spectrum of
technical options. Especially under the consideration of multi-energy systems,
which connect energy domains such as heat and electricity supply, expansion and
operational planning of so-called decentral multi-energy systems (DMES) holds a
multiplicity of complexities. This motivates the use of optimization problems,
which reach their limitations with regard to computational feasibility in
combination with the required level of detail. With an increased focus on DMES
implementation, this problem is aggravated since, moving away from the
traditional system perspective, a user-centered, market-integrated perspective
is assumed. Besides technical concepts it requires the consideration of market
regimes, e.g. self-consumption and the broader energy sharing. This highlights
the need for DMES optimization models which cover a microeconomic perspective
under consideration of detailed technical options and energy regulation, in
order to understand mutual technical and socio-economic and -ecologic
interactions of energy policies. In this context we present a
stakeholder-oriented multi-criteria optimization model for DMES, which
addresses technical aspects, as well as market and services coverage towards a
real-world implementation. The current work bridges a gap between the required
modelling level of detail and computational feasibility of DMES expansion and
operation optimization. Model detail is achieved by the application of a hybrid
combination of mathematical methods in a nested multi-level decomposition
approach, including a Genetic Algorithm, Benders Decomposition and Lagrange
Relaxation. This also allows for distributed computation on multi-node high
performance computer clusters.
