Optimization model for the design and analysis of an integrated renewable hydrogen supply (IRHS) system: Application to Korea's hydrogen economy

Abstract

This paper presents a framework for the design and assessment of a renewable energy sources (RES)-based hydrogen supply system. We generate an integrated renewable hydrogen supply (IRHS) system that includes various types of RES and hydrogen technologies such as production, storage, and transportation. We then develop a multi-period deterministic optimization model for the IRHS system by using a mixed integer linear programming (MILP) technique. The proposed model optimizes the configuration and operational strategy of the IRHS system. The capability of the proposed model is demonstrated through its application to the design problem of Korea's future hydrogen economy. We perform an economic evaluation to identify the major parameters for the required cost of the energy system infrastructure.