A SYNTHETIC METHOD FOR OPTIMAL EVALUATION OF DISTRIBUTED ENERGY SYSTEM

Abstract

This research endeavors to develop an optimization framework tailored for a distributed energy system (DES), grounded in its fundamental components. By harnessing data pertaining to electricity demand, space heating, cooling, hot water requirements, energy pricing, as well as technical and financial specifics of alternative technologies, this framework is formulated via nonlinear programming techniques. The derived outcomes encompass optimal system configurations, operational strategies, and an assessment index matrix. To ascertain weight allocation, a multi-criteria comprehensive evaluation approach is applied, founded upon principles of energy information theory and expert evaluation methodologies. The high-level programming language General Algebraic Modeling System (GAMS) is used in this study to solve the optimization problem of operating the distributed energy system. The study's conclusions underscore solar power systems as the prime candidate for optimization, attributed to their cost-effectiveness, energy efficiency gains, and favorable environmental impact.