COI optimizer
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Solution Overview
Problem
The energy industry faces challenges in understanding and optimizing energy usage patterns among consumers and providers, leading to inefficiencies and missed opportunities for cost reduction and revenue generation.
Innovation Solution
The development of energy optimizer devices and systems that utilize machine learning algorithms to provide dynamic two-way communication and digitization of energy infrastructure, enabling customers to manage energy loads, participate in energy trading, and access energy efficiency programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional energy management systems are used, then infrastructure complexity is reduced, but understanding and optimization of energy usage patterns is insufficient
Solution Approach 1:
The patent introduces an energy optimizer device as an intermediary component that sits between energy sources and energy consumers. This device captures energy usage data, applies machine learning algorithms to analyze patterns, and provides optimization recommendations without requiring complete restructuring of the energy infrastructure. The optimizer acts as a mediator that adds intelligence to existing systems.
Solution Approach 2:
The patent replaces traditional mechanical energy management approaches with software-based machine learning algorithms. Instead of using complex hardware systems to monitor and control energy flow, the invention uses computational algorithms to analyze energy usage patterns and provide optimization, substituting mechanical complexity with intelligent software processing.
2Productivity
If machine learning algorithms are implemented, then customer engagement and revenue opportunities improve, but system complexity increases
Solution Approach 1:
The energy optimizer device provides self-service capabilities by automatically capturing energy data, analyzing usage patterns through machine learning, and generating optimization recommendations without requiring extensive manual intervention. The system serves itself by continuously learning from incoming data and adapting its analysis, reducing the need for complex human-operated control systems.
Solution Approach 2:
The optimizer device performs multiple functions including data capture, pattern recognition, cost analysis, recommendation generation, and customer engagement. By consolidating these diverse functions into a single multi-functional platform, the system achieves high productivity and revenue potential without proportionally increasing overall system complexity.
3Productivity
If dynamic two-way communication is implemented, then energy optimization improves, but communication infrastructure complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the energy optimizer continuously monitors energy usage data, analyzes patterns, and provides recommendations that are fed back to energy consumers and providers. This closed-loop feedback system enables continuous optimization without requiring complex real-time control infrastructure, as the feedback operates at an analytical and advisory level rather than requiring instantaneous physical control.
Data Source
AI summary
Examples disclosed herein relate to an energy optimizer device including a memory, one or more processors configured to execute an electronic game of energy saving and render the electronic game on a display. The energy optimizer device comprises hardware sensor or capturing device for obtaining equipment data from energy equipment associated with a user. The electronic game may be executed with one or more applications and configured to render badge level associated with a user's use of energy equipment, tips of energy saving, enrollment options of a demand management program, recommendation for upgrading of energy equipment, virtual reality avatar representing renewable resources registered, and information about incentives/rebates. The energy optimizer device may communicate with other energy optimizer devices in a peer-to-peer manner and enable multiple users to play the electronic game together from respective energy optimizer devices.