Hydrogen Leak Detection via Sensor Array and CFD Simulation
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Solution Overview
Problem
Existing hydrogen leak detection systems in storage and distribution facilities cannot identify the source of leaks or quantify the leak rate, requiring manual inspection and resulting in inefficient and time-consuming leak identification and repair processes.
Innovation Solution
The implementation of a system using an array of hydrogen sensors and fluid dynamics simulations to quantify and locate leaks by comparing sensor data with modeled scenarios, with a mobile sensor platform for precise leak identification, enabling automated leak management and isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection methods are used to identify leaks, then system complexity is reduced, but leak identification time and productivity are significantly worsened
Solution Approach 1:
The system divides the monitoring task into multiple segments by deploying an array of sensors at different locations throughout the hydrogen storage and distribution facility. Each sensor independently monitors its local area, and the controller aggregates this segmented data to identify leak sources, improving detection efficiency without requiring a single complex monitoring system
Solution Approach 2:
The controller acts as an intermediary between the distributed sensors and the leak identification process. It receives data from multiple sensors, compares it with simulated leak scenarios, and determines leak locations and rates, enabling automated leak management without requiring direct manual inspection
2Measurement precision
If existing leak detection systems are used, then basic leak detection is possible, but the ability to quantify leak rate and identify source is lost
Solution Approach 1:
The system creates virtual copies of actual leak scenarios through computational fluid dynamics simulations. These simulated leak scenarios represent various possible leak conditions, and the controller compares real sensor data against these digital twins to accurately quantify leak rates and identify sources without requiring complex physical measurement equipment
Solution Approach 2:
The system monitors changes in hydrogen concentration parameters across multiple sensors and compares them against baseline values from simulated scenarios. By analyzing parameter variations and their temporal patterns, the system accurately quantifies leak rates and identifies leak sources, transforming qualitative detection into quantitative measurement
3Reliability
If automated leak management is implemented, then leak identification accuracy is improved, but system complexity and initial cost increase
Solution Approach 1:
The system performs self-service by automatically detecting, quantifying, and locating leaks without requiring manual intervention. The controller autonomously processes sensor data, compares it with simulated scenarios, identifies leak sources, and determines appropriate responses, improving reliability while the automated nature eliminates the need for complex manual inspection procedures
Solution Approach 2:
The system implements feedback loops where sensor data continuously monitors hydrogen concentrations, the controller compares this data against simulated leak scenarios, and adjusts its analysis to identify leak sources and rates. This iterative feedback process improves accuracy by continuously refining the leak identification based on real-time measurements and simulated expectations
Data Source
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AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed for managing a hydrogen storage and distribution system. An example apparatus disclosed herein includes an apparatus comprising memory and one or more processors to execute instructions to detect, via hydrogen concentration data, an elevated hydrogen concentration at a hydrogen storage system, determine a mass flow rate of a leak associated with the elevated hydrogen concentration based on the hydrogen concentration data and a location of a sensor associated with the hydrogen concentration data, and mitigate the leak by sending a signal to one or more controllable features of the hydrogen storage system based on the determined mass flow rate.