PSU Load-Based Switching for Energy-Efficient Network Power
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Solution Overview
Problem
Modern network devices with multiple power supply units face inefficiencies due to fluctuating load demands, leading to wasted energy and decreased performance, as maintaining all PSUs active results in suboptimal power utilization and inefficiency.
Innovation Solution
A network device with dynamic power management logic that adjusts the count of active PSUs based on real-time load status signals, transitioning PSUs between active and standby modes to optimize power supply according to load demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all PSUs are kept active at all times to ensure redundancy and reliability, then system reliability is improved, but energy efficiency deteriorates due to wasted energy during low load demand periods
Solution Approach 1:
The patent implements dynamic power management that automatically adjusts the number of active PSUs based on real-time load demand conditions. The power management logic monitors load status and transitions PSUs between active and standby modes dynamically, ensuring system reliability is maintained when needed while energy efficiency is improved during low demand periods.
Solution Approach 2:
The system changes the operational parameter of PSUs by transitioning them between active and standby modes based on load demand thresholds. This parameter change allows the system to optimize the balance between reliability and energy efficiency by adjusting PSU operational states rather than maintaining a fixed configuration.
2Loss of energy
If PSUs are dynamically switched between active and standby modes to improve energy efficiency, then energy efficiency is improved, but system complexity increases due to power management logic and coordination requirements
Solution Approach 1:
The power management logic operates autonomously by monitoring load status signals and automatically making decisions about PSU activation and deactivation. This self-service approach reduces the need for complex external control systems while maintaining energy efficiency improvements through automated threshold-based decision making.
Solution Approach 2:
The system implements feedback mechanisms where load status signals are continuously monitored and fed back to the power management logic, which then adjusts PSU operational states accordingly. This feedback loop enables automated adaptation to changing load conditions without requiring complex manual intervention or sophisticated prediction algorithms.
3Loss of energy
If load demand prediction is implemented to optimize PSU activation, then energy efficiency is improved, but device complexity increases due to sophisticated algorithms and data analysis requirements
Solution Approach 1:
The system establishes predetermined load thresholds that trigger PSU activation and deactivation decisions in advance. By setting these thresholds beforehand, the system eliminates the need for complex real-time prediction algorithms while still achieving energy efficiency improvements through proactive PSU state management based on anticipated load conditions.
Data Source
AI summary
Devices, systems, methods, and processes for dynamic power management in network devices are described herein. Power consumption in network devices may fluctuate due to varying load conditions, leading to inefficiency if all power supply units (PSUs) in these network devices remain active all the time. To address this, a network device is provided with a power management logic that dynamically tunes a count of active PSUs in the network device based on a load demand handled by various PSUs in the network device. The power management logic may receive, from the PSUs, one or more load status signals indicating the load demand handled by the PSUs. Based on the one or more load status signals, the power management logic may determine whether to increase or decrease the count of active PSUs. Dynamically adjusting the count of active PSUs may enhance energy efficiency, reduce costs, and promote sustainability.


