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Nowadays, urban energy projects are becoming more complex in order to meet operational, economic and environmental challenges. This requires using decision support tools in pre-study phases to easily design and adapt the energy system model several times in order to meet stakeholders requirements. This paper presents OMEGAlpes, a linear optimization tool designed to easily generate multi-carrier energy system models. Its purpose is to assist in developing district energy projects by integrating design and operation in pre-studies phases. OMEGAlpes is open-source and written in Python. A use example is described to illustrate the modeling and solving of optimization problems in OMEGAlpes.

Omegalpes: An Optimization Modeler as an Efficient Tool for Design and Operation for City Energy Stakeholders and Decision Makers