  Investigation of energy systems integrated with green chemical conversion,
and in particular combi-nation of green hydrogen and synthetic methanation, is
still a scarce subject in the literature in terms of optimal design and
operation for energy grids under weather intermittency and demand uncertain-ty.
In this work, a multi-period mixed-integer linear programming (MILP) model is
formulated to identify the optimal design and operation of integrated energy
grids including such chemical conver-sion systems. Under current carbon dioxide
limitations, this model computes the best configuration of the renewable and
non-renewable-based generators, from a large candidate pool containing
thirty-nine different equipment, their optimal rated powers, capacities and
scheduling sequences. Three different scenarios are generated for a specific
location. We observed that photovoltaic, oil co-generator, reciprocating ICE,
micro turbine, and bio-gasifier are the equipment that is commonly chosen under
the three different scenarios. Results also show that concepts such as green
hydrogen and power-to-gas are currently not preferable for the investigated
location.
