Conference Paper

Proceedings of Building Simulation 2019: 16th Conference of IBPSA

     

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

Camille Pajot 1, Lou Morriet 1, Sacha Hodencq 1, Vincent Reinbold 1,2, Benoit Delinchant 1, Frédéric Wurtz 1, Yves Maréchal 1
1 Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, 38000 Grenoble, France
2 Centre Scientifique et Technique du Bâtiment (CSTB), Sophia Antipolis, France

DOI: https://doi.org/10.26868/25222708.2019.210931
Abstract: 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.
Keywords: MILP, district scale, energy systems, energy management, decision-making tool
Pages: 2683 - 2690
Paper:

BS2019_210931