@misc{9230893,
  abstract     = {{This thesis investigates the economic and operational consequences of price-responsive operation of a large-scale alkaline electrolyzer producing hydrogen for fossil-free steel production. A time-resolved linear optimization model was implemented in Python, describing the interaction between a 740 MW electrolyzer (37 units of 20 MW), a hydrogen storage and a constant hydrogen demand. Three operating cases were compared: a reference case with constant operation, a main case with rolling optimization based on day-ahead prices, and a benchmark case with perfect foresight over the full year. The cases were evaluated for storage sizes from 0.5 to 5 days of demand, using historical hourly prices from price area SE1 in 2024.

The study showed that price-responsive operation reduces annual electricity costs by approximately 117–121 MSEK in the main case. Increasing the storage size only gives marginal additional savings, whereas the benchmark case shows considerably higher savings and a clearer dependence on storage size. This indicates that foresight, rather than storage volume, is the main factor limiting the value of flexible operation under day-ahead conditions. A break-even analysis shows that the strategy remains economically viable as long as the resulting stack lifetime reduction stays below approximately 47 \%.}},
  author       = {{Bernhardtz, Jacob}},
  issn         = {{0282-1990}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Prisstyrd drift av storskalig elektrolys: En modellstudie av hur lagerstorlek och framförhållning påverkar elkostnadsbesparingen vid vätgasproduktion}},
  year         = {{2026}},
}