An approach to deal with uncertainty in energy and environmental planning:the MARKAL case

This paper presents a new concept to include uncertainty management in ener gy and environmental planning models developed in algebraic modeling langua ges. SETSTOCH is a tool for linking algebraic modeling languages with speci alized stochastic programming solvers. Its main role is to retrieve from th e modeling language a dynamically ordered core model (baseline scenario) th at is sent automatically to the stochastic solver. The case presented herei n concerns such a study realized with the IEA-MARKAL model used by many res earch teams around the world.