Power-to-X E-Fuel Control Using Hydrogen Recovery and Price Signals
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Solution Overview
Problem
Existing Power-to-X processes lack comprehensive control and optimization mechanisms to respond to fluctuations in electrical power availability and feedstock prices, leading to inefficiencies and high operational costs.
Innovation Solution
A system and method for controlling e-fuel production by adjusting hydrogen and carbon dioxide ratios in the reverse water gas shift reaction, utilizing a hydrogen recovery module to recycle hydrogen, and managing power consumption dynamically in response to electrical and feedstock availability and prices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the Power-to-X process operates continuously at full capacity, then productivity is maintained, but operational costs increase during periods of low renewable power availability or high feedstock prices
Solution Approach 1:
The system dynamically adjusts the electrolyzer operation based on real-time pricing signals for electricity and feedstocks. The control system modifies production rates, hydrogen recovery levels, and process parameters to optimize economic performance while maintaining flexibility to capitalize on favorable market conditions and minimize costs during unfavorable periods.
Solution Approach 2:
The system changes operational parameters such as electricity consumption rates, hydrogen recovery ratios, and feedstock intake rates in response to varying market prices. By adjusting these parameters dynamically, the system optimizes the balance between productivity and operational costs under different economic conditions.
2Adaptability or versatility
If electrical power availability fluctuates, then renewable energy utilization is optimized, but process stability and productivity are compromised
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor electricity availability, pricing signals, and process state. This feedback enables real-time adjustments to maintain process stability and productivity while adapting to varying renewable power availability and economic conditions.
Solution Approach 2:
The system performs preliminary actions by pre-adjusting operational parameters and storing intermediate products when favorable conditions are anticipated. This allows the system to maintain stability and productivity even when power availability fluctuates, as preparatory measures are already in place.
3Loss of energy
If feedstock prices fluctuate, then cost optimization is achieved, but manufacturing precision and product consistency are affected
Solution Approach 1:
The system changes feedstock intake rates and processing parameters in response to price fluctuations while maintaining product consistency through controlled adjustments. The dynamic optimization balances cost reduction with the need to maintain manufacturing precision and product quality standards.
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
Enables efficient and flexible operation of e-fuel production processes, maintaining productivity during power fluctuations and reducing costs by optimizing hydrogen use and feedstock integration.
Implementation Method 1
providing a first amount of electrical power to an electrolysis module to produce H2
Implementation Method 2
performing a reverse water gas shift reaction on the gas mixture to produce synthesis gas
Data Source
AI summary
Provided herein are systems and methods for controlling production of low-carbon liquid fuels and chemicals. In an aspect, provided herein is a method controlling a process that produces e-fuels. In another aspect, provided herein is a system for producing an e-fuel.