Power Management System for Phantom Load Reduction
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Solution Overview
Problem
Phantom power consumption, where appliances continue to draw energy even when not in use, accounts for up to 20% of energy consumption in residential and commercial settings, posing both economic and environmental challenges due to inefficiencies in existing manual and automated power management solutions.
Innovation Solution
A system comprising a processing device that monitors power consumption, classifies devices based on their needs, and applies tailored power policies to manage and reduce phantom power by selectively controlling power levels or disconnecting devices, utilizing sensor networks and machine learning to optimize energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If manual unplugging is used to reduce phantom power, then energy consumption is reduced, but labor effort and time are increased
Solution Approach 1:
The system enables automatic power management where the processing device autonomously monitors power consumption data, classifies devices, selects appropriate power policies, and controls power application without requiring manual user intervention. This self-service approach eliminates the laborious manual unplugging process while reducing phantom power consumption through automated device disconnection when not in use.
2Loss of energy
If automatic disconnection is implemented to reduce phantom power, then energy consumption is reduced, but device complexity and potential operational problems are increased
Solution Approach 1:
The automatic power management system is segmented into distinct functional modules: a monitoring module that collects power consumption data, a classification module that categorizes devices based on their power profiles, a policy selection module that determines appropriate power management strategies, and a control module that executes power application or disconnection. This segmentation reduces overall system complexity by making each component's function specific and manageable.
Solution Approach 2:
The system performs preliminary classification of devices based on their power consumption characteristics before implementing power management policies. By pre-establishing device categories and their associated power policies, the system simplifies the decision-making process and reduces operational complexity when actual power control is needed.
3Device complexity
If uniform power policy is applied to all devices, then system simplicity is maintained, but adaptability to different device power needs is reduced
Solution Approach 1:
The system applies local quality by tailoring power policies to individual device characteristics rather than using a uniform approach. Each device is classified based on its specific power consumption profile, and customized power policies are selected for each device type. This allows the system to adapt to different power needs of various devices while maintaining manageable complexity through automated classification and policy selection.
Data Source
AI summary
An apparatus in an illustrative embodiment comprises at least one processing device comprising a processor coupled to a memory. The processing device is configured to receive power consumption data relating to at least one monitored device, and to classify the monitored device based at least in part on the power consumption data. The processing device is further configured to select a power policy for the classified device, and to control application of power to the classified device in accordance with the selected power policy. For example, controlling application of power to the classified device in accordance with the selected power policy may comprise determining contextual information for the classified device, generating a control signal based at least in part on the contextual information and the selected power policy, and transmitting the control signal to at least one node of a node network. Other illustrative embodiments include methods and computer program products.