Electrolysis Output Control Under Fluctuating Energy Supply
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Solution Overview
Problem
Existing electrolysis processes face challenges in controlling energy supply fluctuations, wear, safety, and ecological issues, particularly in large-scale industrial applications, with known control methods being insufficient for managing fluctuating conditions.
Innovation Solution
A three-level control process is implemented, determining set points for production output, process parameters, and control parameters by minimizing specific mathematical functions that account for predicted demand, degradation effects, and changes, ensuring reliable operation under fluctuating conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simple known control methods are used in electrolysis, then the device complexity is low, but the reliability and efficiency deteriorate under fluctuating conditions
Solution Approach 1:
The control process is segmented into three hierarchical levels: Level 1 determines set point for production output by minimizing a first mathematical function depending on production output and predicted product demand; Level 2 determines set points for process parameters by minimizing a second mathematical function depending on the production output set point, process parameters, and predicted degradation effects; Level 3 determines set points for changes of control parameters by minimizing a third mathematical function depending on the process parameter set points and changes of control parameters. This segmentation allows complex control functionality to be organized into manageable, modular levels.
Solution Approach 2:
The control method performs preliminary actions by determining optimal set points for production output, process parameters, and control parameters before actual electrolysis operation. The three-level control process calculates and establishes all necessary control targets in advance, allowing the electrolysis system to operate according to pre-determined optimal parameters that account for fluctuating conditions, degradation effects, and product demand predictions.
2Object-affected harmful factors
If fluctuating energy supply from renewable sources is used, then ecological issues are improved, but the stability of the electrolysis process deteriorates
Solution Approach 1:
The control method dynamically adapts to fluctuating energy supply conditions by continuously adjusting control parameters through the three-level optimization process. The system determines set points for production output, process parameters, and control parameter changes based on real-time conditions, allowing the electrolysis process to remain stable and efficient despite variations in renewable energy supply from wind or solar sources.
Solution Approach 2:
The control method changes operational parameters dynamically to compensate for fluctuating energy supply. By minimizing mathematical functions that account for predicted degradation effects and production demand, the system adjusts voltage, current, flow rates, and other process parameters to maintain optimal electrolysis performance under varying renewable energy conditions.
3Productivity
If continuous electrolysis operation is maintained to meet product demand, then productivity is improved, but wear of devices increases
Solution Approach 1:
The control method applies partial action by determining optimal operating levels through the three-level control process. Instead of always operating at maximum capacity, the system calculates set points for production output and process parameters that balance productivity requirements with device wear considerations. The optimization functions account for degradation effects, allowing the system to operate at reduced intensity when appropriate to extend device lifespan while still meeting product demand.
Solution Approach 2:
The control system implements feedback mechanisms by continuously monitoring production output, process parameters, and degradation effects. The three-level control process uses this feedback information to adjust set points for production output and control parameters, creating a closed-loop system that balances productivity with device longevity by responding to actual operating conditions and wear indicators.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the availability and efficiency of the electrolysis process, particularly in handling fluctuating energy sources, by optimizing production output, process parameters, and control adjustments, thereby ensuring reliable and efficient product generation.
Implementation Method 1
obtain one or more products by electrolysis... electrolysis of water in order to obtain hydrogen and oxygen as products
Data Source
Figure 1~2
AI summary
Method for obtaining a product by electrolysis, comprising: a) determining a set point for a production output by minimizing a first mathematical function, which depends on the production output and on a predicted product demand, b) determining respective set points for multiple process parameters by minimizing a second mathematical function, which depends on the set point for the production output determined in a), on the process parameters and on predicted degradation effects, c) determining respective set points for changes of multiple control parameters by minimizing a third mathematical function, which depends on the set points for the process parameters determined in b) and on the changes of the control parameters, d) obtaining the product by performing the electrolysis using the set points for the changes of the control parameters determined in c).