Equipment Management Baseline Calculation for Energy Transaction Markets
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Solution Overview
Problem
In energy transaction markets, the baseline calculation for energy consumption is unreliable when past result values are affected by demand response control, especially for equipment units like air conditioning devices, due to seasonal changes, leading to doubtful projections.
Innovation Solution
An equipment management apparatus that computes a hypothetical energy consumption value for a day by considering the impact of energy adjustment control, allowing for a more accurate baseline determination by using result values from the same day and adjusting for energy adjustment control periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If past result values are used for baseline calculation, then the baseline can be determined, but the baseline becomes unreliable when past values are affected by demand response control or seasonal changes
Solution Approach 1:
The patent extracts and removes the effects of demand response control from past result values to obtain undistorted baseline data. The baseline calculation unit specifically extracts result values from time slots where no DR control was implemented, or adjusts values from time slots where DR control was implemented to remove its effects, thereby obtaining pure baseline information unaffected by control interventions.
Solution Approach 2:
The patent performs preliminary identification and classification of time slots based on whether DR control was implemented before conducting baseline calculations. The baseline calculation unit first determines which time slots are suitable for baseline calculation (those without DR control or with adjustable DR effects), then proceeds with the calculation using only these pre-screened data points.
2Quantity of substance
If result values from distant past are used to ensure sufficient data, then more data points are available, but the parameters are greatly affected by seasonal changes
Solution Approach 1:
The patent applies local quality by selecting result values from specific time slots that match the temporal and seasonal characteristics of the target period. Instead of uniformly using all past data, the system selectively uses data from time slots with similar seasonal conditions and without DR control interference, ensuring local relevance and accuracy for the baseline calculation.
Solution Approach 2:
The patent changes the selection criteria for past result values from a simple temporal distance metric to a multi-parameter selection process that considers seasonal similarity, absence of DR control, and temporal proximity. This parameter change in the selection strategy ensures that the chosen data points are both sufficient in quantity and high in quality, avoiding the seasonal distortion problem.
3Productivity
If demand response control is frequently implemented, then energy management is improved, but it becomes difficult to ensure sufficient result values for baseline calculation
Solution Approach 1:
The patent implements a dynamic baseline calculation approach that adapts to the frequency and pattern of DR control implementation. The system dynamically identifies available time slots for baseline calculation based on current DR control patterns, and adjusts the calculation methodology accordingly - using undisturbed time slots when available, or applying adjustment techniques when DR-affected slots must be used, ensuring continuous baseline availability regardless of DR frequency.
Solution Approach 2:
The patent introduces an intermediary adjustment mechanism that mediates between DR-controlled result values and the required baseline values. The baseline calculation unit acts as an intermediary that processes DR-affected result values through adjustment algorithms to reconstruct the underlying baseline, thereby maintaining sufficient data availability even when DR control is frequently implemented.
Data Source
AI summary
An equipment management apparatus manages at least one equipment unit that is supplied with energy and that consumes energy. The equipment management apparatus includes a result value storage unit, an adjustment control implementation status storage unit, and a hypothetical value computation unit. The result value storage unit stores result values of an amount of energy consumed in a first particular day by the at least one equipment unit. The result values are stored in association with time slots of the first particular day. The adjustment control implementation status storage unit stores adjustment control implementation status information indicating whether or not energy adjustment control has been performed in each of the time slots of the first particular day. The hypothetical value computation unit computes a hypothetical value of an amount of energy consumed by the at least one equipment unit as if the energy adjustment control had not been performed.