Plant Simulation Device Parameter Adjustment for Deterioration Diagnosis
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Solution Overview
Problem
Current plant simulation methods often fail to accurately diagnose facility deterioration due to the lack of consideration for age-related parameter changes and contamination, leading to inaccurate simulation results and inadequate maintenance.
Innovation Solution
A plant simulation device and method that adjust both fixed and varying parameters to match simulated and actual data, with a focus on maintaining a threshold difference, and include a diagnoser to analyze parameter changes over time, specifically for facilities like heat exchangers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If parameter adjustment is performed with the parameter related to construction conditions set as a fixed value, then the adjustment process is simpler, but the simulation results have errors due to parameter adjustment influenced by factors not directly related to the parameter
Solution Approach 1:
The patent segments parameter adjustment into two distinct phases: first adjusting the construction condition parameter (e.g., heat transfer coefficient) while fixing operating status parameters, then adjusting operating status parameters while fixing the construction condition parameter. This segmentation prevents cross-interference between parameter types and improves both adjustment simplicity and simulation accuracy.
2Adaptability or versatility
If both parameters varying with operating statuses and parameters related to construction conditions are adjusted by tracking simulation, then parameter adaptability improves, but the simulation results do not converge due to mutual influence between parameters
Solution Approach 1:
The patent applies preliminary action by first adjusting the construction condition parameter (such as heat transfer coefficient) to match actual data before the plant starts operation, and fixing this parameter thereafter. This preliminary adjustment establishes a stable baseline that prevents subsequent adjustments of operating status parameters from causing divergence, thus maintaining simulation convergence while preserving adaptability.
3Ease of manufacture
If maker-designed values or experimental values are used for parameters, then the initial setup is simpler, but simulation accuracy decreases when there is a large difference between maker-provided values and actual parameter values in the plant
Solution Approach 1:
The patent implements parameter changes by adjusting the construction condition parameter (e.g., heat transfer coefficient) based on actual plant data during the initial setup phase. This allows the system to transition from using default maker-provided values to using plant-specific actual values, thereby improving simulation accuracy while maintaining ease of setup through an automated adjustment process.
Data Source
AI summary
A plant simulation device includes a first storage that stores a model that models a state of a facility in a plant, a first parameter that is fixed at a start operation of the plant, and a second parameter that is varied during an operation of the plant, the first parameter and the second parameter being set in the model, and a simulator that compares a process value of the facility with a simulated value calculated using the model and that adjusts the first parameter and the second parameter.