Energy Tracking Infrastructure for Dynamic Load Matching
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Solution Overview
Problem
Current energy tracking and processing systems lack efficient methods for dynamically and selectively matching energy consumption with sustainable energy generation across multiple facilities, leading to challenges in measuring and visualizing environmental impact effectively.
Innovation Solution
The development of an energy tracking and processing infrastructure that creates load pools and generation pools based on consumption and generation data, associating energy consumption with generation through physical transmission links, and using blockchain technology to generate secure, immutable digital energy assets, enabling dynamic visualization of environmental impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If energy tracking systems use traditional methods to record and track energy generation and consumption data, then data recording is achieved, but the ability to dynamically and selectively match energy consumption with sustainable energy generation across multiple facilities is insufficient
Solution Approach 1:
The system segments energy tracking into separate functional modules: load pool creation for consumption tracking, generation pool creation for generation tracking, and association mechanisms that link them through physical transmission links. This segmentation enables dynamic matching across multiple facilities while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces a new dimension of physical transmission link association, moving beyond simple temporal matching to include spatial and infrastructural dimensions. By incorporating physical transmission links as an additional matching criterion, the system achieves more precise and versatile energy-sustainability attribution without proportionally increasing complexity.
2Measurement precision
If the system creates detailed associations between energy generation and consumption data across multiple facilities, then measurement precision of environmental impact is improved, but the complexity of data processing and tracking increases
Solution Approach 1:
The system performs preliminary actions by creating load pools and generation pools with pre-defined structures and attributes before actual matching occurs. This pre-organization of data with inherent tracking capabilities enables precise environmental impact measurement while reducing processing complexity during execution, as the matching logic operates on pre-structured data rather than raw data.
3Quantity of substance
If the system implements comprehensive tracking of energy generation, transmission, and consumption, then data completeness is improved, but the loss of time for data processing increases
Solution Approach 1:
The system maintains continuous tracking operations where load pools and generation pools are created and associated in an ongoing manner rather than through batch processing. This continuous operation enables comprehensive energy data collection across all facilities while minimizing processing time delays, as the system continuously matches and attributes energy data without interruption or extensive post-processing.
Data Source
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AI summary
Apparatus and associated methods relate to automatically load matching, in time, energy physically generated and transmitted to a consumption location across at least one tracking and processing infrastructure. In an illustrative example, a load pool (LP) may be created based on energy consumed at a physical location at one or more selected time periods. A generation pool (GP) may, for example, be created based on energy generated and physically available for consumption at the physical location during the time periods. Associations may be created, for example, between measurements in the GP of energy generated and transmitted and measurements in the LP of energy consumed. The associations may be created as a function of predetermined privileges associated with the consumption location and generation locations and/or physical transmission links corresponding to the GP during the time periods. Various embodiments may advantageously determine environmental impact based on location and time-based load matching.