Real-Time Energy Tracking With Temporal Matching for Grid Attribution
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Solution Overview
Problem
Existing energy tracking methods in energy networks and grids are inaccurate and unreliable due to the use of discrete hourly or half-hourly blocks, which fail to match energy generation to consumption accurately, leading to incorrect attribution of energy sources and loss of detailed energy data, especially with renewable energy generators not providing proprietary data.
Innovation Solution
A real-time energy-tracking method that measures energy generation and consumption with high-frequency sensors, aligns measurements using temporal metadata to create matched sets, and determines energy deficits or excesses, allowing for precise tracking of energy and carbon intensity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If discrete hourly or half-hourly blocks are used to record energy generation and consumption, then data processing complexity is reduced, but measurement precision and reliability of energy tracking deteriorate
Solution Approach 1:
The patent segments energy data into matched sets based on temporal metadata, dividing the continuous energy flow into discrete time-aligned segments that can be processed individually while maintaining precision. This allows accurate matching of generation and consumption data without requiring complex continuous processing of the entire dataset.
2Quantity of substance
If discrete time blocks are used for energy recording, then data storage requirements are reduced, but loss of information about actual energy generation and consumption increases
Solution Approach 1:
The patent performs preliminary matching of energy data by temporal metadata before storage, organizing data into matched sets that preserve the relationship between generation and consumption. This preliminary organization allows efficient storage of only essential matching information while retaining the ability to trace actual energy flows without storing complete continuous data streams.
3Measurement precision
If real-time high-frequency measurements are implemented, then energy tracking precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent introduces temporal metadata as an intermediary element that facilitates the matching of high-frequency energy measurements without requiring complex direct processing between generation and consumption data. This metadata acts as a mediator that simplifies the matching process while enabling precise real-time tracking.
4Reliability
If real-time matching of energy measurements is performed, then reliability of energy attribution is improved, but processing time and computational requirements increase
Solution Approach 1:
The patent replaces complex mechanical-like processing of continuous energy data with an information-based system using temporal metadata for matching. This substitution allows rapid identification and matching of energy measurements through temporal alignment rather than complex computational analysis, reducing processing time while maintaining high reliability.
Data Source
AI summary
A method of real-time energy-tracking including: measuring the energy produced by an energy generator and the energy consumed by an energy consumer; collecting generated energy measurements and consumed energy measurements over a specified time period; receiving data packets containing these measurements along with associated temporal metadata, wherein by aligning the generated energy measurements with the consumed energy measurements based on this temporal data, the method creates matched sets of measurements, wherein for each matched set, it assesses the energy balance by comparing the generated energy to the corresponding consumed energy, thereby identifying any real-time energy deficit or excess.