Adaptive Power Distribution for Intermittent Renewable Energy
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Solution Overview
Problem
Cloud computing infrastructure faces challenges in efficiently managing power consumption, particularly in environments where renewable energy sources are intermittent and non-renewable sources are high in carbon emissions, leading to difficulties in reducing carbon footprints and maintaining reliable energy supply.
Innovation Solution
Implementing a configuration that differentiates between renewable and non-renewable energy sources by using separate power inlets and adaptive power distribution units to allocate energy based on telemetry data, storing excess renewable energy for later use, and adjusting resource allocation to prioritize renewable energy usage while meeting service level agreements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If renewable energy sources are used to power cloud computing infrastructure, then carbon emissions are reduced, but energy supply reliability deteriorates due to intermittency
Solution Approach 1:
The system performs preliminary actions by storing excess renewable energy in batteries during periods of high renewable availability. This stored energy is then utilized during periods of low renewable generation, ensuring continuous reliable power supply while maintaining high renewable energy consumption. The battery storage system is charged when renewable energy exceeds immediate needs and discharged when renewable energy is insufficient.
2Use of energy by moving object
If separate power inlets and adaptive power distribution units are implemented to differentiate and allocate renewable and non-renewable energy, then energy efficiency and renewable energy utilization are improved, but device complexity increases
Solution Approach 1:
The power distribution system is segmented into distinct functional components: separate power inlets for renewable and non-renewable energy sources, an adaptive power distribution unit for intelligent allocation, and battery storage systems. This segmentation allows each component to be optimized independently while working together to achieve high energy efficiency through targeted renewable energy routing and management.
3Productivity
If excess renewable energy is stored in batteries for later use, then renewable energy utilization is improved, but device complexity and initial cost increase
Solution Approach 1:
The battery storage system operates autonomously, automatically charging when renewable energy is abundant and discharging when needed, without requiring complex external control systems. The system self-regulates based on real-time monitoring of renewable energy availability and power demand, reducing the need for sophisticated management infrastructure while maximizing renewable energy utilization.
Data Source
AI summary
Examples described herein relate to receiving a configuration, wherein the configuration is to specify a first level of renewable energy utilized by one or more devices based on telemetry, wherein the telemetry comprises a level of renewable energy supplied to the one or more devices. Based on a second level of available supplied renewable energy, a portion of the first level of available supplied renewable energy can be allocated to one or more devices to perform the process. Based on a third level of available supplied renewable energy, increase renewable energy allocated to the one or more devices, to perform the process, to above the first level.