Digital Twin Ammonia Flow Control for Balanced Pipe Throughput
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In industrial plants, particularly those using fuel cell systems, managing the flow rate of gases like ammonia across multiple pipes is challenging due to concentration issues, which can lead to inefficient energy use and reduced throughput.
Innovation Solution
A system and method utilizing digital twin technologies to optimize ammonia flow by simulating scenarios, identifying optimal operating conditions, and implementing real-time adjustments through a feedback loop, thereby ensuring balanced flow rates across pipes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If flow rate is concentrated in a specific pipe, then throughput is improved, but energy consumption increases and system reliability deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where sensors monitor flow rates in real-time and transmit data to a control system. The control system automatically adjusts valve positions to equalize flow rates across pipes, creating a closed-loop control system that responds to actual flow conditions and prevents energy waste from imbalanced distribution.
Solution Approach 2:
The system dynamically adjusts valve positions based on real-time flow rate measurements rather than maintaining fixed positions. This dynamic adaptation allows the system to optimize flow distribution continuously, balancing throughput requirements with energy efficiency by responding to changing operating conditions.
2Productivity
If flow rate is concentrated in a specific pipe, then throughput is improved, but system reliability deteriorates
Solution Approach 1:
The feedback mechanism continuously monitors flow rates and automatically adjusts valve positions to maintain balanced distribution across pipes. This prevents over-concentration of flow in specific pipes, reducing wear and tear on individual components and improving overall system reliability while maintaining acceptable throughput levels.
Solution Approach 2:
The system changes the operating parameters (valve positions) based on flow rate measurements to achieve more uniform flow distribution. By adjusting valve opening degrees dynamically, the system redistributes flow to prevent excessive concentration in single pipes, thereby improving reliability without completely sacrificing throughput.
3Productivity
If digital twin model is used for real-time simulation and optimization, then flow distribution is improved, but device complexity increases
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the physical pipe system that replicates its behavior and characteristics. This digital model allows for real-time simulation and optimization of flow distribution without physically modifying the actual system, reducing the need for complex physical instrumentation while achieving advanced optimization capabilities.
Solution Approach 2:
The digital twin acts as an intermediary between the physical system and the control system. It receives data from sensors, performs simulations and optimizations in the virtual environment, and translates results into control commands for physical valves, simplifying the direct control architecture while enabling sophisticated optimization algorithms.
Data Source
AI summary
Disclosed are a system and a method for optimizing a gas flow of ammonia in an industrial plant. The system according to the present invention disclosure may include: a physical plant; a digital twin model for the physical plant; a data collection module configured to acquire real-time data from the physical plant; a simulation module configured to simulate at least one scenario using the digital twin model and identify optimal operating conditions for the gas flow of ammonia based on simulation results; a feedback loop configured to implement a feedback loop between the digital twin model and the physical plant to adjust the physical plant based on the simulation results; and a performance monitoring module configured to monitor performance of the physical plant to track effectiveness of the optimization process.