Power Plant Simulation Feedback for Real-Time Status Tracking
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Solution Overview
Problem
Existing simulators for power plants struggle to accurately simulate real-time changes and dynamic conditions due to discrepancies between initial conditions and actual plant data, limiting their ability to reflect ever-changing variables and requiring separate processes for scenario-based simulations.
Innovation Solution
A simulation system that collects real-time power plant field values, uses numerical analysis to optimize a simulation model, and adjusts parameters to match actual plant conditions through an integrated simulation module, incorporating an overriding-based method to ensure accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-classified scenarios with fixed initial conditions are used for simulation, then calculation speed and accuracy are improved, but the ability to reflect real-time dynamic conditions and adapt to actual plant status deteriorates
Solution Approach 1:
The patent implements dynamic initial condition generation that automatically updates simulation starting points based on actual plant status changes. Instead of fixed pre-classified scenarios, the system continuously adapts initial conditions to reflect current plant states, enabling the simulation to dynamically track real-time conditions while maintaining computational efficiency through structured update mechanisms.
Solution Approach 2:
The system establishes a feedback loop where actual plant measurements continuously inform and update simulation initial conditions. The simulation compares its outputs with actual plant data, and discrepancies feed back into adjusting the initial conditions for subsequent simulation runs, creating a self-correcting system that maintains accuracy while adapting to changing plant states.
2Measurement precision
If separate processes are used to create initial conditions and perform simulation, then simulation precision under specified conditions is improved, but the complexity of the system and time required for real-time tracking increases
Solution Approach 1:
The patent merges the initial condition creation process with the simulation execution process into an integrated workflow. The system combines data collection, initial condition generation, and simulation running into a unified system that operates continuously without requiring separate manual intervention steps, thereby reducing overall system complexity while maintaining precision.
Solution Approach 2:
The simulation system is designed to automatically generate and update its own initial conditions without requiring separate external processes. The system self-manages the workflow by automatically retrieving actual plant data, processing it into appropriate initial conditions, and feeding them into the simulation model, thereby eliminating the need for complex separate preparation processes.
3Stability of the object's composition
If standard data from plant design is used for simulation setup, then consistency with design specifications is improved, but the ability to reflect ever-changing operational variables deteriorates
Solution Approach 1:
The system performs preliminary actions by establishing the design specification framework and standard data structures in advance, then layers real-time operational data on top of this stable foundation. This allows the system to maintain consistency with design specifications while systematically incorporating changing operational variables through structured data integration mechanisms.
Solution Approach 2:
The patent implements a dual-parameter approach where design specification parameters provide the stable structural framework, while operational parameters continuously update to reflect current plant conditions. The system manages both sets of parameters simultaneously, allowing design consistency to be maintained at the structural level while operational variability is captured at the data level.
Data Source
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AI summary
The present invention relates to a simulation system for simulating the behavior of a power plant, the system being characterized by: collecting all field values in the power plant at an nth point in time; simulating the behavior of the power plant at the nth point in time through a numerical analysis of a power plant model on the basis of the collected field values; providing, as a second initial condition, a field value obtained through the numerical analysis of the power plant model; and determining a simulation calculation method according to the result of comparing the power plant field values and a simulation calculation value.