OPTIMIZATION OF GREEN HYDROGEN SUPPLY NETWORK: MILP MODELING FOR CASE STUDY IN MINAS GERAIS

Abstract

This work aims to present a new computational tool, based on mixed integer mathematical programming, to assist the decision-making process in the choice of location and technologies present in the production of green hydrogen, aiming to minimize the total annualized cost. Its applicability was tested in a case study, considering the state of Minas Gerais, in which 15 different cities located in the state of Minas Gerais were considered. The results suggest that the hydrogen network is strongly influenced by production and transportation costs, and that decentralized production may be more suitable for the evaluated context. In addition, the results can serve as a basis for further studies.