Computational Device Power Management via Environmental Grid Signals
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Solution Overview
Problem
Existing computational devices consume excessive energy, particularly during peak demand times, leading to increased greenhouse gas emissions and high energy costs, as their power management mechanisms are localized and do not account for broader environmental or energy production conditions.
Innovation Solution
A method and system that monitor environmental conditions to adjust power consumption, reducing energy usage during high demand periods by acquiring and analyzing data on electric power generation, and automatically lowering power consumption when a high demand indication is detected, thereby minimizing the reliance on inefficient power sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computational devices operate at full power to maintain performance, then productivity is improved, but energy consumption increases during peak demand times
Solution Approach 1:
The system dynamically adjusts power consumption based on real-time environmental conditions and grid demand signals. The computational device transitions between different power states (full power, reduced power, standby) according to external conditions rather than operating at a fixed power level, resolving the contradiction between maintaining productivity and reducing energy consumption.
Solution Approach 2:
The system implements feedback mechanisms by monitoring environmental conditions, grid demand signals, and power consumption levels. This feedback loop enables the computational device to automatically adjust its power consumption in response to changing conditions, optimizing the balance between productivity and energy usage during peak demand periods.
2Ease of operation
If localized power management is used to reduce immediate energy costs, then ease of operation is improved, but overall environmental impact remains significant due to peak demand timing
Solution Approach 1:
The system extends power management from the local device level to the broader energy grid dimension. By incorporating environmental condition monitoring and grid demand signals into the decision-making process, the system operates in an additional dimensional space that connects local computational needs with global energy production conditions, thereby reducing greenhouse gas emissions while maintaining ease of operation.
Solution Approach 2:
The system introduces environmental condition data and grid demand signals as intermediary elements between the computational device and the energy grid. These intermediaries carry information about external conditions, enabling the device to make informed power management decisions that reduce harmful environmental factors while maintaining automatic operation.
3Loss of energy
If computational devices continuously monitor and adjust power consumption based on environmental conditions, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The system implements multi-functional components that perform multiple tasks. The power management module not only monitors environmental conditions and adjusts power consumption but also interfaces with the energy grid, processes multiple data sources, and controls various device functions. This universality reduces the need for separate dedicated components, thereby improving energy efficiency while limiting the increase in device complexity.
Data Source
AI summary
Methods, including service methods, articles of manufacture, systems, articles and programmable devices are provided for adapting the power consumption of a computational device in response to environmental conditions. Operating environmental condition data relevant to the generation of electric power is acquired from an operating environment feed and analyzed to determine a high electric power demand indication. If the analyzing determines a high electric power demand indication, then a computational device automatically reduces an amount of electric power consumption.