{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T19:03:55Z","timestamp":1782846235174,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>Hydrogen (H2) is recognized as a key enabler of decarbonization in energy-intensive industries. However, the economic viability of H2 production via renewable-powered electrolysis remains a major challenge. While advancements in electrolyzer technology are essential, further cost reductions can be achieved through optimized operational and maintenance (O&amp;M) strategies. This study develops an agent-based simulation model to represent an electrolysis-based H2 production system over its lifetime and evaluate the impact of alternative O&amp;M strategies on economic performance, degradation dynamics, and H2 demand fulfillment. The electrolyzer uses wind power and is supported by grid electricity, while the model explicitly captures startups, load-dependent efficiency, degradation effects, and stack replacement actions. Results show that operational constraints have a marginal impact on long-term performance, with limited gains in cost and stack lifetime from avoiding inefficient low-load operation. In contrast, carefully defined stack replacement policies lead to substantially larger lifetime cost reductions, up to 21% compared to overly conservative replacement strategies. The findings further highlight multiple trade-offs associated with selecting the replacement threshold, as well as the robustness of condition-based stack replacement under degradation uncertainty.<\/jats:p>","DOI":"10.7148\/2026-0804","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:08:43Z","timestamp":1782842923000},"page":"804-810","source":"Crossref","is-referenced-by-count":0,"title":["Analyzing operational and maintenance strategies for electrolysis-based hydrogen production for industrial decarbonization"],"prefix":"10.7148","author":[{"given":"Giulia","family":"Fede","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabio","family":"Sgarbossa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel F.","family":"Silva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:08:49Z","timestamp":1782842929000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0804_sstmsv_ecms2026_0040.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0804","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}