Automated Energy Management via Power Correlation Analysis
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Solution Overview
Problem
Current energy management systems face high installation complexity when trying to optimize power consumption across multiple electrical devices, as they require comprehensive data capture and assignment of power consumption to individual devices, often lacking the ability to influence non-directly controllable devices.
Innovation Solution
A method and apparatus that centrally capture and assign power consumption data to individual devices, using measured value transmitters to determine correlations between changes in measured values and power consumption over time, allowing for fully automated operation of devices in coordinated fashion to achieve desired results with minimal installation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If comprehensive data capture and assignment of power consumption to individual devices is implemented, then energy management optimization is improved, but installation complexity increases
Solution Approach 1:
The system automatically captures power consumption data and assigns it to individual devices without requiring manual configuration or complex installation infrastructure. The automated data capture and assignment processes enable the system to serve itself, eliminating the need for complex manual setup while achieving comprehensive energy management optimization.
2Loss of energy
If centralized operation coordination of multiple electrical devices is implemented, then energy saving potential is improved, but system complexity increases
Solution Approach 1:
The system merges the operation control of multiple electrical devices into a single centralized coordination mechanism. By combining the control functions and analyzing correlations between multiple devices simultaneously, the system achieves comprehensive energy saving potential while managing complexity through unified rather than distributed control architecture.
3Extent of automation
If correlation analysis between measured values and power consumption is performed, then operational automation is improved, but computational complexity increases
Solution Approach 1:
The system continuously performs correlation analysis between measured values and power consumption data, using the results to automatically adjust device operations. This feedback loop enables high operational automation by constantly learning from data patterns and automatically implementing optimization decisions without requiring complex manual computational processes.
Data Source
AI summary
To operate electrical devices, power consumptions of all the electrical devices are continually captured and assigned to the individual electrical devices and at least one desired result is achieved by virtue of at least a first control instance of the electrical devices, the operation of which helps to achieve a desired result, and a second control instance of the electrical devices, the operation of which likewise helps to achieve the desired result. The devices are operated in a coordinated fashion. To this end, measured values from multiple measured value transmitters are captured by operating the multiple electrical devices. Correlations between changes in the measured values of the individual measured value transmitters over time and changes in the power consumptions of the individual electrical devices over time are determined and the desired result is selected from a subgroup of results.