Plant Operation Simulation Using Predicted Input Fluctuations
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Solution Overview
Problem
Existing plant operation support devices struggle to simulate plant behavior accurately when raw material conditions or energy inputs fluctuate, leading to decreased simulation accuracy and unreliable prediction results.
Innovation Solution
A plant operation support system that includes a fluctuation prediction device to predict raw material condition fluctuations and an on-line simulator to simulate plant behavior using the predicted data, allowing for accurate simulation even under fluctuating conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If plant operation support devices use conventional simulation methods with constant raw material conditions, then simulation accuracy is maintained under stable conditions, but simulation accuracy deteriorates when raw material conditions or energy inputs fluctuate
Solution Approach 1:
The patent applies dynamics by transitioning from static simulation (assuming constant raw material conditions) to dynamic simulation (incorporating time-varying fluctuations in raw material conditions and energy inputs). The simulation model now adapts to changing conditions rather than assuming fixed parameters, resolving the contradiction between maintaining accuracy under stable conditions and adapting to fluctuating conditions.
Solution Approach 2:
The patent changes the parameters of the simulation model from constant values to time-varying values that reflect actual fluctuations in raw material conditions and energy inputs. By incorporating predicted fluctuation data as dynamic parameters, the simulation maintains accuracy across varying operational conditions rather than degrading when conditions change.
2Ease of operation
If plant operation support devices assume constant raw material conditions for simulation, then device complexity is reduced and ease of operation is improved, but prediction reliability deteriorates under fluctuating conditions
Solution Approach 1:
The patent applies preliminary action by performing fluctuation prediction before the simulation process. The fluctuation prediction device pre-processes data to forecast raw material condition variations and energy input fluctuations, which are then fed into the simulation model. This preliminary preparation maintains ease of operation while significantly improving prediction reliability under fluctuating conditions.
Solution Approach 2:
The patent introduces an intermediary component (the fluctuation prediction device) that bridges the gap between raw operational data and the simulation model. This intermediary processes and predicts fluctuation patterns, providing refined input to the simulation without requiring direct complex interactions between raw data and the simulation engine, thus maintaining operational simplicity while enhancing reliability.
Data Source
AI summary
A plant operation support system supports an operation of a plant. The plant operation support system includes a fluctuation prediction device configured to predict a fluctuation of an element which is input to the plant, and a simulation device configured to simulate a behavior of the plant using a fluctuation of the element predicted by the fluctuation prediction device and data which is obtained from the plant.