Data driven design of hybrid energy systems Insights from a hi 2027 Applied

In the United States, roughly 95% of hydrogen is produced via steam methane reforming (SMR) and natural gas is becoming increasingly valuable for other applications such as power generation and export. This study evaluates pathways to diversify supply and lower hydrogen costs through a high-resolution, physics-based, open-source assessment of off-grid hybrid energy systems for electrolytic hydrogen. We resolve plant design, nonlinear electrolyzer performance and degradation, and hydrogen storage across 58,225 sites, executing approximately 173 million simulations that sweep 198 wind-solar-battery configurations, five hydrogen storage options and three electrolyzer CapEx scenarios, to produce geographically resolved design guidance. Key findings: (1) Hybrid and hybrid-battery plants minimize levelized cost of hydrogen (LCOH) at nearly all sites, with optimal designs consistently oversizing generation relative to electrolyzer capacity. (2) Declining electrolyzer costs simplify plant designs by eliminating batteries, this change in plant design leads to lower capacity factors and shorter stack lives. (3) Electrolyzer cost reductions yield larger LCOH reductions without storage than with buried pipe. (4) Optimal storage adds approximately $0.64/kg on average; buried pipe is never the least-cost option but is widely considered deployable today. Together, these results show that off-grid hybrid energy systems can become increasingly competitive with SMR as electrolyzer CapEx costs fall and indicate where that competitiveness emerges first. Future work should assess advanced dispatch to limit degradation and LCOH, optimize for fixed delivery profiles, and expand to.