Power Plant Analysis Device for Adaptive Economic Evaluation
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Solution Overview
Problem
Existing power plant efficiency evaluation methods do not account for varying operating methods, such as those introduced by newer gas turbine combined cycles or renewable energy integration, leading to outdated economic efficiency assessments.
Innovation Solution
A power plant analysis device that acquires and analyzes operation data to calculate average profits per unit time based on performance improvements, utilizing a utilization rate and considering the latest operating methods, including output and efficiency improvements, to provide updated economic evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operation data from a fixed base period is used for evaluation, then calculation simplicity is maintained, but the evaluation does not reflect latest operating methods
Solution Approach 1:
The patent applies dynamics by making the evaluation period adaptive rather than fixed. The system dynamically selects between base period data and latest period data based on whether the power plant is operating at base load, allowing the evaluation framework to adapt to changing operating conditions and reflect current performance accurately
Solution Approach 2:
The patent changes the time parameter from a fixed base period to a flexible selection between base period and latest period. This parameter change allows the system to switch evaluation windows based on operating conditions, ensuring both simplicity when appropriate and accuracy when needed
2Adaptability or versatility
If evaluation is based on base load operation assumptions, then calculation method remains simple, but it fails to account for partial load or variable operation methods
Solution Approach 1:
The patent segments the evaluation into two distinct modes: base load evaluation using historical base period data, and variable operation evaluation using latest period data. This segmentation allows each mode to be optimized independently, maintaining simplicity for stable operations while enabling adaptability for variable operations
Solution Approach 2:
The patent creates a universal evaluation system that can handle multiple operating scenarios (base load, partial load, variable operations) through a single framework. The system universally applies the same computational logic but selects different time periods based on operating conditions, making it versatile across all operation types
3Measurement precision
If latest operation data is always used for evaluation, then evaluation reflects current operating methods, but calculation stability may be compromised with shorter data periods
Solution Approach 1:
The patent applies dynamics by conditionally selecting data periods based on operating stability. When base load operation is detected, the system uses the longer base period for stable evaluations. When variable operations are detected, it switches to the latest period to maintain relevance, dynamically balancing stability and relevance
Solution Approach 2:
The patent incorporates feedback by monitoring current operating conditions and using this information to select the appropriate evaluation period. The system continuously assesses whether the power plant is operating at base load and adjusts the data selection accordingly, creating a feedback loop that maintains both stability and relevance
Data Source
AI summary
An operation data acquisition unit is configured to acquire, from an operation data storage unit for storing operation data collected every first period from a power plant, the operation data collected during a latest second period that is longer than the first period. A unit profit amount calculation unit is configured to calculate an average amount of profit per unit time in relation to a unit amount of performance improvement of the power plant based on the operation data that has been acquired.