Electrolyzer Production Rate Control via Power Cost Prediction
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Solution Overview
Problem
Current hydrogen production systems lack efficiency in determining optimal production rates based on fluctuating power and water costs, and varying hydrogen values, leading to suboptimal production and storage strategies.
Innovation Solution
A system and method that utilize historical data to predict costs and values, determining a production rate for electrolyzers based on current and predicted power and hydrogen values, allowing for controlled hydrogen production, storage, and distribution to maximize profitability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hydrogen production rate is increased to meet demand, then productivity improves, but power consumption and production costs increase
Solution Approach 1:
The electrolyzer production rate is made dynamic rather than fixed, allowing it to adjust continuously based on real-time power costs and predicted hydrogen values. The system optimizes the production rate by balancing immediate power costs against future hydrogen value predictions, enabling the system to produce more when conditions are favorable and less when conditions are unfavorable, thus improving productivity without proportionally increasing power consumption.
Solution Approach 2:
The system performs preliminary actions by predicting future hydrogen values and power costs before making production decisions. By analyzing historical data and forecasting future conditions, the system determines optimal production rates in advance, allowing operators to prepare for upcoming high-value periods by pre-producing hydrogen when power costs are lower, thereby improving overall productivity while managing power consumption strategically.
2Loss of time
If hydrogen is produced and stored during low-cost periods, then loss of time is reduced, but device complexity increases
Solution Approach 1:
The control system implements continuous feedback loops that monitor real-time power costs, hydrogen production rates, and inventory levels. This feedback mechanism automatically adjusts production rates based on current conditions without requiring complex manual intervention. The system compares actual performance against predicted values and makes real-time adjustments, reducing the time needed for optimization while keeping the control complexity manageable through automated decision-making algorithms.
Solution Approach 2:
The system performs self-service by automatically determining optimal production rates and storage strategies without requiring constant human intervention. The control algorithm independently analyzes historical data, predicts future conditions, and adjusts electrolyzer operations autonomously. This self-service capability reduces the time loss associated with manual decision-making while the complexity is contained within the automated system rather than requiring complex external control infrastructure.
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 enables hydrogen production systems to optimize production rates, store hydrogen during low-cost periods, and supply it during high-value times, enhancing operational efficiency and profitability.
Implementation Method 1
An electrolyzer is a device that may use electrical power, in the form of direct electrical current (DC), to drive a chemical reaction. In the present disclosure, the term 'electrolyzer' may refer to a device that may produce hydrogen by applying a DC current to water to separate hydrogen from oxygen.
Data Source
AI summary
Systems and techniques are described herein for producing hydrogen. For instance, a method for producing hydrogen is provided. The method may include obtaining a current cost of power; obtaining historical power-cost data indicative of historical costs of power; determining a predicted cost of power based on the historical power-cost data; obtaining a request for hydrogen; determining a current value of hydrogen based on the request for hydrogen; obtaining historical hydrogen-value data indicative of historical values of hydrogen; determining a predicted value of hydrogen based on the historical hydrogen-value data; determining a rate for an electrolyzer to produce hydrogen based on the current cost of power, the predicted cost of power, the current value of hydrogen, and the predicted value of hydrogen; and controlling operations of the electrolyzer such that the electrolyzer produces hydrogen at substantially the determined rate