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

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.