Load Distribution Optimization for Rotary Machine Stations
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Solution Overview
Problem
Current methods for load distribution among rotary machines in machine stations fail to account for actual operating conditions, leading to reduced performance and increased susceptibility to shut-downs, especially during start-up or shut-down phases, due to reliance on data-sheet information and predetermined assumptions.
Innovation Solution
A method that calculates load distribution by solving an optimization problem based on actual operating status, set-points, and performance parameters, using empirical mathematical models to estimate and adjust for performance drifts, providing real-time corrections and optimal set-point adjustments for each rotary machine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If load distribution is calculated based on data-sheet information and predetermined assumptions, then the control method is simple to implement, but the actual performance of rotary machines is not accurately reflected leading to reduced overall performance
Solution Approach 1:
The patent implements feedback by continuously monitoring actual operating conditions of rotary machines and using this information to dynamically adjust load distribution. Sensors measure parameters such as temperature, pressure, and flow rate, and this feedback is fed into the control system to recalculate optimal load distribution in real-time, ensuring the system adapts to changing conditions while maintaining simple operation through automated control algorithms.
Solution Approach 2:
The patent transitions from static load distribution based on predetermined assumptions to dynamic load distribution that continuously adapts to actual operating conditions. The control system recalculates load distribution parameters in real-time based on measured operating conditions, allowing the system to respond dynamically to changes in machine performance, environmental conditions, and load requirements.
2Ease of operation
If load distribution is equalized among all rotary machines, then the control strategy is simplified, but machines operating under different actual conditions experience reduced efficiency and increased susceptibility to shut-downs
Solution Approach 1:
The patent applies local quality by tailoring the load distribution strategy to the specific actual conditions of each individual rotary machine rather than applying a uniform equalization strategy. Each machine receives customized control parameters based on its own measured operating conditions, performance characteristics, and current state, allowing optimal operation for each machine while maintaining overall system coordination.
3Productivity
If rotary machines operate at maximum load to meet throughput requirements, then productivity is increased, but machines become more susceptible to undesired shut-downs due to operating beyond nominal working points
Solution Approach 1:
The patent changes operational parameters dynamically by adjusting load distribution, speed, and other operating parameters based on actual machine conditions and predicted performance. Rather than operating at fixed maximum load, the system continuously optimizes parameters to achieve required throughput while maintaining operation within safe and efficient ranges, preventing shut-downs through proactive parameter adjustment.
4Measurement precision
If empirical mathematical models are used to estimate performance parameters and solve optimization problems, then accurate load distribution is achieved, but the computational complexity and implementation cost increase
Solution Approach 1:
The patent employs computationally efficient empirical mathematical models that provide sufficient accuracy without requiring complex computational resources. These simplified models are designed to be calculated in real-time using standard control system processors, avoiding the need for expensive high-performance computing hardware while maintaining adequate precision for practical load distribution optimization.
Data Source
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AI summary
The present invention relates to a method for determining a load distribution among several rotary machines of a machine station. The method, according to the invention, provides output data indicative of an optimal load distribution among the rotary machines of the machines station in relation to the actual operating conditions of these latter. The method, according to the invention, calculates, at a given operating instant, a solution to an optimization problem, which is defined on the base of the actual operating status, operating set-points and operating limits of the machine station and of the rotary machines, on the base of the objective performances expected for the rotary machines and on the base of estimated performance parameters.