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International audienceThe intertwining between cities and networks has been largely reshaped by the development of renewable energies. Due to the rise of self-consumption, new intermediary organisations are being set up between energy networks (electricity, gas and district heating) and urban spaces, hybridising energy flows supplied through public networks and those produced by on-the-spot renewable energies. Considering the urban energy system as an assemblage of SENs (Socio-Energy Nodes), this article lists four generic SENs linked by intermediary organisations. Each of them combines spatial and organized proximity in specific ways.L’imbrication entre villes et réseaux prend des contours substantiellement nouveaux avec le développement des énergies renouvelables et conduit à de nouveaux agencements. Avec l’essor de l’autoproduction, les relations entre les réseaux d’énergie et les lieux s’organisent dorénavant à différentes échelles dans les espaces urbanisés. Il émerge des organisations intermédiaires hybridant les flux issus de réseaux publics avec ceux des énergies renouvelables capturées in situ. Considérant le système énergétique urbain comme un assemblage de NSE – nœuds socio-énergétiques –, cet article recense quatre NSE-types que les organisations intermédiaires sont susceptibles de connecter. Chacun combine plus ou moins, et de façon spécifique, proximité spatiale et organisée

The shape of an energy project depends on the available technologies but also on stakeholders' decisions although most energy-support-decision tools only focus on technical issues. This article aims to propose a multi-actor modelling based on stakeholders' objectives and constraints and to apply it on the optimisation model generation tool OMEGAlpes. This modelling aims to help stakeholders to formalise their constraints and objectives and to negotiate them in a multi-stakeholders design process. Two types of stakeholders involved in urban renewable energy project have been highlighted: operators and infrastructure regulators. This modelling has been applied to a simplified collective selfconsumption project.

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