Optimization and Planning of Energy Systems using MESSAGE Code

Abstract

This paper deals with energy system optimization and planning using message code. The problem is formulated as a mixed integer programming problem with constraints on activities and installed capacities. The objective function is the minimization of the total installation cost including the investment cost, the variable and fixed operation and maintenance costs, and the constraints violation cost. Various operation and environmental constraints are considered.  The obtained results show the capability of message code to model and solve the complex energy planning problem considering different types of constraints.