CEA has been developing an optimization software called PERSEE to conduct techno economic and
environmental studies that help decision making when looking for optimal energy mixes at several
scales, from industrial premises to territories or countries.
The tool allows to define and solve, on a modular way, a techno-economic problem including
environmental aspects by assembling several Mixed Integer Linear Problem contributions of a
dedicated C++ core library modelling the main technical components of multi-energy systems. Smart
connectors features allow to add user defined constraints without any development skills. Solving is
performed thanks to Application Programming Interface of various Open Source or commercial mixed
integer linear solvers.
Throughout different tool usages, the paper shows the global methodology that PERSEE allows to
deploy along project cycle from opportunity and feasibility steps, to assessment using model predictive
optimal control applied to more accurate simulation models using the PEGASE cosimulation platform
developed at CEA, the French Commission for Atomic and Alternative Energies.
The object and source code can be shared in the frame of several kinds of partnerships, from educational
to institutional and industrial ones, giving the opportunity of several efficient collaborations.