Multi-energy networks are going to play an important role in dense areas (cities) for the energy transition and the integration of renewable energy sources [1]. The IntegrCiTy project uses a co-simulation approach at urban scale in order to maximize the penetration of renewable energy. The concept joins independent software and tools to simulate the dynamics and impacts of each urban sub-system simultaneously. However, if co-simulation tools are able to predict accurately the operation of urban multi-energy system, they don’t intend to provide the design of energy system. A three-step method is therefore proposed to generate and identify the feasible alternatives for the energy supply of urban areas (Figure 1), taking into consideration the multi-energy network infrastructure. This report focused on the description of a method using energy integration and multi-objective optimization techniques to systematically generate urban energy system design including the definition of multi-energy networks, size of the energy conversion equipment and access to local resources. The originality of the method lie in the combination of recently developed method and tools for: 1. the generation of scenario using multi-objective optimisation and meta-models for building energy system (BES) based on a design and scheduling procedure developed by P. Stadler et al. and R. Suciu et al.; 2. the identification of the key bottlenecks of multi-energy networks using a power flow solver developed in IntegrCiTy; 3. the application of co-simulation principles and models to multi-energy urban systems, implemented in IntegrCiTy (obnl).