Minimizing the Total Cost of Energy Production by Choosing the Best Energy Conversion Technologies for a Case Study in Iran

In this paper, optimization procedure based on energy flow optimization model (EFOM) proposed for evaluating the contribution of distributed-generation (DG) production and energy-efficiency actions. The proposed methodology details exploitation of primary energy sources, power and heat generation, emissions and end-use sectors. The optimization process, aiming to reduce the overal cost, provides feasible generation settlements that take into account the installation of combined cycle power plants, wind power, solid-waste and biomass exploitation together with industrial combined heat and power (CHP) systems.Here we want to optimize the choice of converting the primary energy, and to achieve the mathematical function we have used the energy flow optimization model (EFOM), which is among the types of energy sources, energy converters and energy consumption, suggests the optimal choice.In this paper, we tried to optimize the mathematical function of this model by genetic algorithm method.

Keywords:

EFOM , Energy flow optimization model , CHP systems , Overal cost , genetic algorithms