Ethylene Epoxidation Catalyst Moderator Optimization
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Solution Overview
Problem
Existing techniques for optimizing moderator levels in ethylene oxide production systems are inefficient and unreliable, particularly in industrial environments, due to the need for accurate measurement of gas phase chlorides and delays in catalyst surface equilibrium, leading to suboptimal catalyst selectivity and activity over time.
Innovation Solution
A method using real-time and historical data to calculate model-estimated selectivity and temperature at an optimum moderator level, fitting curves to delta selectivity and temperature data, and determining a relative effective moderator level to provide actionable recommendations for adjusting the moderator level to achieve maximum catalyst selectivity, without relying on precise chloride concentration measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If accurate measurement of gas phase chlorides is used to optimize moderator levels, then catalyst selectivity can be improved, but measurement precision requirements become excessively high and the system becomes unreliable in industrial environments
Solution Approach 1:
The patent uses an intermediary computational model that processes readily available process data (temperatures, pressures, flow rates, feed compositions) to estimate the effective moderator level and determine optimal moderator dosage. This intermediary system avoids the need for direct, high-precision chloride measurements while still achieving reliable catalyst selectivity optimization through calculated recommendations.
2Reliability
If real-time moderator level adjustment is implemented to maintain maximum catalyst selectivity, then catalyst performance is improved, but the complexity of the control system increases due to multiple varying operating conditions
Solution Approach 1:
The control system is designed to be universal by processing multiple types of process data (temperatures, pressures, flow rates, compositions) through a single computational model that accounts for various operating conditions simultaneously. This multi-functional approach handles catalyst aging, changing feed compositions, and varying production rates through one integrated system rather than multiple specialized controllers.
Solution Approach 2:
The system dynamically adjusts the moderator level parameter based on changing operating conditions by continuously processing real-time process data and calculating optimal moderator dosage. The computational model accounts for parameter changes in temperature, pressure, flow rates, and feed composition to determine the appropriate moderator adjustment needed to maintain maximum catalyst selectivity.
3Ease of operation
If manual optimization of moderator levels is performed periodically, then implementation is simple, but productivity is reduced due to delays in adapting to changing operating conditions
Solution Approach 1:
The system operates autonomously by continuously collecting process data, processing it through the computational model, and generating real-time recommendations for moderator level adjustments without requiring manual intervention. The system serves itself by automatically adapting to changing operating conditions and maintaining optimal catalyst performance, thereby maximizing ethylene oxide production efficiency.
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 allows for robust and accurate real-time optimization of moderator levels, improving catalyst selectivity and stability by accounting for operational changes and catalyst aging, reducing the need for manual intervention and improving overall ethylene oxide production efficiency.
Implementation Method 1
ethylene (C2H4) is reacted with oxygen (O2) in the presence of a silver-based ethylene epoxidation catalyst
Implementation Method 2
catalyst moderators, also commonly referred to as reaction modifiers, have been found that may be added to a reactor feed gas to improve selectivity. Such moderators suppress the undesirable oxidation of ethylene or EO to CO2 and water
Data Source
AI summary
A method for maximizing the selectivity (S) of an epoxidation catalyst in an ethylene oxide reactor system, comprising: receiving a measured reactor selectivity (Smeas), a measured reactor temperature (Tmeas), and one or more operational parameters from an ethylene oxide production system, the measured reactor selectivity (Smeas), the measured reactor temperature (Tmeas), and the one or more operational parameters comprise real-time and historical operating data points over time generated by the ethylene oxide production system, and using a processor to conduct various calculations and determination in order to output an actionable recommendation that includes a target change (Mchange) of a moderator level (M) of a chloride-containing catalyst moderator to its optimal value (Mopt). The method further includes using the processor to (f) display the actionable recommendation on a display.