Hydrogen from renewable sources has been discussed worldwide as a crucial energy carrier for climate change mitigation. It has multiple possibilities of production routes, as well as many current and potential applications. The objective of this research is to develop an optimization model for expanding and operating the hydrogen infrastructure for the promotion of hydrogen markets. The developed model can be applied for every location. It addresses the whole hydrogen value chain, from the H2 production, including water electrolysis and steam reform with and without carbon capture, up to the H2 delivery to consumers via road transportation or pipelines. The model was developed in GAMS language using Mixed Integer Linear Programming (MIP). Its objective function is to minimize the total cost of hydrogen supply, subject to demand, CO2 emissions constraints, availability of resources and energy and mass balances of technologies. The model has an hourly discretization and includes options of hydrogen storage, electricity storage, grid electricity use, in addition to mixing different complementary resources and production technologies.