Othersphere Explorer 101 - System optimization for electrolysis

Blog
5.13.2024

🏔 The challenge

Equipment sizing and operating strategy LCOH optimizations for hydrogen electrolysis plants are cumbersome and time-consuming. It can take days to weeks to get the data, with each optimization run often taking hours. This limits analytical efforts to a handful of potential sites, leaving many opportunities unexplored.

The result — sub-optimal capital allocation and higher risks, with countless missed opportunities.The difference between initial cost calculations versus hourly optimizations can be dramatic, and highlights location as a critical element of project success.

🛠 Our solution

Othersphere has revolutionized this process by combining the power of our underlying spatial economics platform with neural networks for dimensionality reduction and surrogate modeling.

Our global search engine now recommends pre-optimized projects in seconds, having already run an hourly optimization considering:

  1. Hourly day-ahead wholesale power market pricing
  2. Grid upgrade CAPEX (developed with a global leader in grid transmission engineering and equipment)
  3. Grid fees associated with transmission connections
  4. Variable stack efficiency by load, incorporating operational ranges
  5. System economies of scale, as well as commercial and technical nuances between PEM and alkaline plants
  6. Hourly carbon intensity data
  7. Demand profiles and cost of storage
  8. Co-located renewables CAPEX
  9. High-spatial resolution hourly solar and wind capacity factor data

All of this is delivered through the Othersphere Explorer tool, which provides a novel, bottom-up view of potential hydrogen projects, evaluating key factors such as production costs, emissions, available offtakers, and fit with local surroundings.

Source:

Original data source:

Spatial coverage:

Visibility:

Methodology:

Download:

License:

The data provided herein is made available on an "as-is" basis, without warranty of any kind, either expressed or implied. The provider does not guarantee the accuracy, completeness, or usefulness of the information. By downloading this data, the user acknowledges that the provider shall not be held liable for any errors, inaccuracies, or omissions in the data, nor for any damages, losses, or consequences arising from the use, misuse, or reliance on this data. The user assumes full responsibility for the use of the information provided and agrees to use it with caution and at their own risk.

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