Discrete Signal Embedding for Electrical Source Identification
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Solution Overview
Problem
Current metering systems cannot differentiate between different sources of electrical production, preventing consumers from accurately determining and purchasing specific types of energy, such as 100% renewable energy.
Innovation Solution
Embedding a discrete signal at the source of electrical production and using Broadband over Power line (BPL) and Nash Equilibrium (NE) at the consumption location to identify the type of electrical production being consumed, allowing for differentiated rate structures and segregated consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If electrical production from multiple sources is combined into one sine wave for transmission, then transmission efficiency and system simplicity are improved, but the ability to identify and meter specific production sources is lost
Solution Approach 1:
The patent segments the aggregated electrical signal by embedding distinct discrete identifiers (such as BPL signals or spectral signatures) with each production source's electrical output. This allows the combined sine wave to carry traceable information about its component sources without requiring physical separation of the electrical flows.
Solution Approach 2:
The patent uses discrete signal embeddings (intermediary carriers) that are superimposed on the electrical waveform to convey source identification information. These intermediary signals act as mediators that preserve source identity through the aggregation process without interfering with the primary electrical transmission function.
2Device complexity
If current metering methods are used to measure total consumption, then simple kWh measurement is achieved, but the ability to determine specific production source consumption is prevented
Solution Approach 1:
The metering system is segmented into multiple functional components: discrete signal embedding at production sources, signal transmission through the grid, and signal detection/decoding at consumption points. This segmentation enables source-specific measurement while maintaining overall system manageability.
Solution Approach 2:
The patent adds an informational dimension to the traditional electrical measurement by superimposing discrete identification signals on the electrical waveform. This transforms the metering system from measuring only power magnitude (1D) to measuring both power magnitude and source identity (2D), enabling source-specific consumption determination.
3Measurement precision
If discrete signals are embedded at each production source to enable identification, then source-specific metering capability is achieved, but system complexity and signal processing requirements increase
Solution Approach 1:
The patent employs universal discrete signal embedding techniques (such as BPL or spectral signature methods) that can be applied across different production sources using standardized protocols. This multi-functionality allows the same technical approach to serve multiple identification purposes without requiring source-specific custom solutions, thereby controlling complexity.
Data Source
AI summary
A method to discretely meter consumption of electricity includes embedding a discrete signal at a source of electrical production associated with each type of power production; and consumption metering at a consumption location that determines the type of electrical production being consumed from the discrete signal.