Study on nuclear and renewable hybrid energy system performance prediction by using Modelica

Abstract

The production and use of electric energy is constantly evolving in the building, industrial and transportation areas [1,2]. Looking at the electric energy production sector, the market share of variable renewable energy such as wind and solar power (PV) is continuously increasing. Among the use sectors, the transportation area is encouraged to use eco-friendly fuels, and accordingly, the use rate of battery and hydrogen electric fuel vehicles is rapidly increasing. In the building area, energy efficiency is increasing due to building energy management system (BEMS) and high-insulation materials. Since 2010, researches in nuclear-renewable hybrid energy system (NRHES) have been actively conducted to maximize efficiency in electric energy production and use. The NR HES, which combines production and use, is a system that actively controls electricity production and use and surplus energy utilization [3]. In this study performance analysis is performed for the architecture depicted in the former study[3] by digital twin for securing operation efficiency of NRHES. Digital twin is built based on multi-physics system using Modelica. All components were modeled to consider electricity, heat, mechanics and environment at the same time[4,5].