Real-Time Electrical Component Management for Energy Optimization
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Solution Overview
Problem
Current energy management systems in equipment like motor vehicles lack dynamic control, leading to inefficient energy consumption, particularly during peak hours, resulting in higher operational costs and greenhouse gas emissions.
Innovation Solution
A real-time electrical component management system that includes sensors to monitor energy-consuming devices, actuators to control them, and a computing device with a processor to analyze data and execute optimization programs based on predefined criteria, optimizing energy usage by adjusting parameters such as temperature settings in air conditioning and refrigeration units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If manual energy management arrangements are used (bypassing accessory energy usage when starter motor is activated), then energy consumption is reduced, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The energy management system automatically monitors and controls energy-consuming devices without requiring manual intervention. The processor continuously receives sensor data, executes optimization programs, and adjusts device operation autonomously based on real-time conditions, allowing the system to manage its own energy consumption efficiently.
Solution Approach 2:
The system incorporates sensors that continuously monitor working conditions of energy-consuming devices and feed this data back to the processor. The processor analyzes this feedback information and dynamically adjusts device operation to optimize energy consumption, creating a closed-loop control system that responds to actual operating conditions.
2Device complexity
If no active energy management system is implemented, then device complexity is reduced, but energy consumption increases due to worst-case scenario design
Solution Approach 1:
The system dynamically adjusts the operation of energy-consuming devices based on real-time sensor data and current operating conditions. Rather than being designed for worst-case scenarios, the devices operate adaptively, with the processor continuously optimizing their performance to match actual energy availability and demand, thereby reducing overall energy consumption without excessive complexity.
3Loss of energy
If dynamic energy management is implemented, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The energy management system serves multiple functions: it monitors working conditions of energy-consuming devices, analyzes sensor data, executes optimization programs, and controls device operation. This multi-functional approach consolidates various energy management tasks into a single integrated system, improving energy efficiency while managing complexity through functional integration rather than proliferation of separate components.
Data Source
AI summary
A system for managing performance of one or more electrical components in real-time includes one or more sensors to provide working conditions of one or more energy consuming devices. The system further includes one or more actuators coupled to and configured to control the one or more energy consuming devices. Additionally, the system includes a computing device in electrical communication with the one or more sensors and the one or more actuators. The system also includes a database capable of retaining an instruction program for the computing device. The computing device includes a processor that is configured to receive data from the one or more sensors, analyze data from the one or more sensors, and execute the instruction program received from the database in order to optimize operation of the one or more energy consuming devices based on one or more criteria.