Energy Storage Selection via Utilization Efficiency Scoring
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Solution Overview
Problem
The temporal misalignment between peak power generation from intermittent energy sources like solar and wind and peak electricity demand poses challenges, necessitating energy storage solutions that are difficult to compare and select due to varying costs, efficiencies, and usage types.
Innovation Solution
A data aggregator system that collects energy consumption and production data to calculate a utilization efficiency score for different energy storage solutions, providing personalized recommendations based on customer behavior, location, and other factors to determine the optimal energy storage method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of energy storage devices are considered (batteries, flywheels, pumped hydroelectric facilities), then the variety of storage solutions increases, but the difficulty of comparison and selection increases
Solution Approach 1:
The patent transforms the complex selection problem into a comparable format by changing parameters into standardized metrics. It establishes evaluation criteria including technical performance parameters (storage capacity, efficiency, response time), economic parameters (cost, levelized cost of storage), and operational parameters (lifespan, maintenance requirements). This parameter standardization enables direct comparison across different energy storage technologies.
Solution Approach 2:
The patent introduces an intermediary evaluation framework that mediates between diverse energy storage technologies and customer selection needs. This framework includes weighted scoring models, multi-criteria decision analysis tools, and standardized comparison matrices that act as intermediaries to translate technical specifications into actionable selection guidance.
2Ease of operation
If energy storage solutions are selected without considering temporal misalignment, then selection simplicity is maintained, but the effectiveness of addressing peak demand issues deteriorates
Solution Approach 1:
The patent implements feedback mechanisms that analyze actual energy consumption patterns and storage performance data. The system continuously monitors when energy is stored and discharged, comparing this against peak demand periods. This feedback loop enables dynamic optimization of storage operation timing, ensuring that stored energy is discharged during actual peak demand periods while maintaining simple customer-facing interfaces.
Solution Approach 2:
The patent performs preliminary analysis of customer energy consumption patterns and load profiles before making storage recommendations. By pre-analyzing when peak demand occurs for each customer and modeling different storage discharge scenarios, the system prepares optimized timing strategies in advance, eliminating the need for complex real-time customer decisions while ensuring peak demand effectiveness.
3Measurement precision
If detailed consumption data and production data are collected, then the accuracy of utilization efficiency scoring improves, but the data processing complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct modular components: data collection modules that gather consumption and production data, data validation modules that clean and standardize inputs, analysis modules that calculate utilization efficiency scores, and reporting modules that present results. Each segment handles specific data processing functions, reducing overall system complexity while maintaining high measurement precision through specialized processing at each stage.
Data Source
AI summary
Aspects of the subject technology relate to methods and systems for recommending an energy storage device. In some aspects, a method of the subject technology can include steps for aggregating consumption data for a customer, receiving energy production data for each of a plurality of energy production sources, and determining a utilization efficiency score for each of the plurality of energy storage devices based on the consumption data and the energy production data. In some aspects, methods of the subject technology can also include steps for ranking two or more of the energy storage devices based on the utilization efficiency. In some aspects, machine-readable media are also provided.