Wind Number Analysis for Energy Cost Reduction
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Solution Overview
Problem
Energy consumers lack an effective method to analyze their energy consumption from wind and thermal sources, making it difficult to take informed measures to reduce energy costs and increase wind power usage.
Innovation Solution
An energy usage analysis device generates wind number values based on energy source data and consumption data, providing users with insights into their wind energy consumption over time and comparison to other consumers, enabling informed decisions to increase wind power usage and reduce costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If consumers reduce overall energy consumption, then energy cost is reduced, but it is challenging and opportunities may not be readily available or practical
Solution Approach 1:
The patent implements a feedback mechanism by providing consumers with real-time or periodic reports showing their wind energy consumption metrics (wind number, wind energy percentage) compared to other consumers. This feedback enables consumers to make informed decisions about when and how to reduce consumption from thermal sources, making energy cost reduction more practical and actionable rather than relying on guesswork or general advice.
Solution Approach 2:
The patent introduces an intermediary system (the analysis device and reporting mechanism) that mediates between the complex energy grid operations and the consumer. This intermediary processes raw energy consumption data, calculates wind energy metrics, and presents actionable insights to consumers, making the complex task of reducing thermal energy consumption simpler and more guided.
2Loss of energy
If consumers increase the portion of consumed energy generated by wind power, then energy cost is reduced and environmental benefits are achieved, but there is currently no effective way to analyze the relative amount of energy consumed from wind power
Solution Approach 1:
The patent introduces an intermediary analysis device that acts as a bridge between the energy grid and consumers. This device collects raw energy consumption data, processes it to calculate wind energy metrics (wind number, percentage of wind energy), and delivers this processed information to consumers. The intermediary transforms unavailable or incomprehensible data into actionable insights, directly resolving the information gap.
Solution Approach 2:
The system provides feedback to consumers about their wind energy consumption patterns through detailed reports showing wind number values, percentage breakdowns of wind versus thermal energy, and comparisons with other consumers. This feedback loop gives consumers the information they need to make informed decisions about increasing their wind energy consumption and reducing thermal energy usage.
3Loss of information
If detailed analysis of energy consumption by source is implemented, then informed measures to reduce costs can be taken, but device complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for consumer decision-making from the complex energy grid data. Instead of providing all raw data or requiring complex consumer-side analysis, the system extracts key metrics (wind number, percentage of wind energy, comparison rankings) and delivers them to consumers. This extraction approach provides detailed source analysis without requiring complex consumer-side processing.
Solution Approach 2:
The analysis device performs self-service by automatically collecting data from the energy grid, processing it through the wind number calculation methodology, generating reports, and delivering them to consumers without requiring consumer intervention or complex consumer-side equipment. The complexity is contained within the analysis device itself, which autonomously performs all processing tasks.
Data Source
AI summary
A method, energy usage analysis device, and non-transitory computer readable medium that obtain an amount of energy generated from wind resources and thermal resources at a plurality of intervals over a specified time period. An amount of energy consumed by a user at each of the intervals is obtained. An energy source wind number value is generated for each of the intervals based on the respective amount of energy generated from the wind resources and the thermal resources. An energy consumption wind number value is generated for each of the intervals based on the respective energy source wind number value and the respective amount of energy consumed by the user. An overall wind number value is generated for the specified time period based on the energy consumption wind number values and the amount of energy consumed at each of the intervals. The overall wind number value is output.