学术文献库

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.