Hydrogen Production CI Control Using Linear Reference Models
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Solution Overview
Problem
Existing control systems for hydrogen production facilities struggle to accurately and efficiently meet varying carbon intensity requirements due to the complexity and diversity of carbon intensity calculation models across different jurisdictions, making real-time compliance challenging.
Innovation Solution
A computer-implemented control system that utilizes linear terms derived from operational parameter data and carbon intensity reference models to generate control variables, enabling precise adjustment of production processes to meet carbon intensity targets, employing model predictive control for continuous optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional control systems are used for hydrogen production facilities, then the system structure is simple, but the system cannot accurately meet varying carbon intensity requirements due to model complexity
Solution Approach 1:
The patent segments the complex carbon intensity calculation model into multiple linear sub-models, each handling specific aspects of the calculation. This allows the system to process complex carbon intensity requirements through simpler, modular linear calculations that can be efficiently implemented in real-time control.
Solution Approach 2:
The patent introduces linear terms as intermediary variables that bridge the gap between operational parameters and carbon intensity calculations. These linear terms serve as mediators that simplify the relationship between process variables and carbon intensity metrics, enabling accurate calculations without requiring the full complexity of reference models.
2Productivity
If real-time carbon intensity calculation is implemented, then compliance accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent changes the mathematical parameters of the carbon intensity calculation from non-linear reference model formulations to linear parameter expressions. This transformation enables real-time computation by simplifying the mathematical operations required, allowing the system to maintain high productivity through efficient linear calculations.
Solution Approach 2:
The patent creates simplified linear copies of the complex carbon intensity reference models. These linear copies replicate the essential calculation functionality needed for real-time control decisions without requiring the full computational resources of the original complex models, enabling rapid iteration and real-time compliance monitoring.
3Adaptability or versatility
If multiple carbon intensity reference models are used for different jurisdictions, then adaptability is improved, but system complexity increases
Solution Approach 1:
The patent develops a universal linear calculation framework that can handle multiple jurisdictional carbon intensity reference models through a single unified system. This multi-functional approach allows the same linear calculation engine to adapt to different regulatory requirements by adjusting input parameters rather than requiring separate complex models for each jurisdiction.
Data Source
AI summary
A method of operating a hydrogen production facility to meet carbon intensity (CI) requirements, the method comprising: receiving operational parameter data from the hydrogen production facility, the operational parameter data being representative of measured and/or determined time-dependent values of operational parameters of the hydrogen production facility; processing the operational parameter data to define one or more linear terms, wherein the linear terms are linear with respect to one or more CI reference models; generating, from the linear terms, control system CI values representative of the CI of hydrogen produced by the hydrogen production facility; generating control variables for controlling one or more operational parameters of the hydrogen production facility; and controlling the hydrogen production facility in accordance with the determined control variables.