Analysis of energy systems for poly-generation using optimization modelling: the optimization process strategies and the formalization of an innovative multi-objective optimization model

Abstract

The purpose of this paper is to describe the numerical modelling processes and optimization strategies of energy systems and to formalize an innovative optimization model for poly-generation systems. The model uses a multi-objective optimization approach, by means of three optimization functions: one of an economic nature, one technical and one relating to polluting emissions. The constraint equations of the problem, the boundary conditions and the input values, as well as some dimensionless parameters are described. In addition to a complete approach, the article proposes innovative aspects based on the studies in the literature, both from a technological and economic-regulatory standpoint. For each proposed innovation, an analysis of how this can influence the optimization model is presented and various types of optimization models have been evaluated, depending on the complexity of the physical system and the consequent numeric modelling.

Gas transportation system development in Mongolia under gas prices uncertainty

“…For instance, finding a Pareto equilibrium, or the situation when it is not possible to improve the value of any one criterion without worsening the value of at least one other criterion, is proposed in ref. [5,6] to support decision making process in energy planning. As a rule, a set of Pareto-optimal solutions consists of several elements, and choosing between these elements requires further research.…”