Optimizing Renewable Injection in Integrated Natural Gas Pipeline Networks Using a Multi-Period Programming Approach

In this paper, we propose an optimization model that considers two pathways for injecting renewable content into natural gas pipeline networks. The include (1) power-to-hydrogen or PtH, where off-peak electricity is converted to hydrogen via electrolysis, and (2) power-to-methane, PtM, carbon dioxide from different source locations methane (also known as synthetic gas, SNG). above result in green methane, which can be injected existing network. Based on these pathways, a multi-period network integrates the design operation of PtH proposed. mixed-integer non-linear programming (MINLP) determines optimal concentration pipelines, location units, while minimizing overall system cost. We show, using case study Ontario, structure within integrated provides $12M cost reduction. ranges 0.2 vol % maximum limit 15.1 across network, reaching 2.5 at distribution point. This well below 5 specification. Furthermore, optimizer realized CO2 ranging 0.7 %. target 1% specified model. essential understanding practical implication penetration systems terms constraints costs.