Data Center Management System for Renewable Energy Surplus Reduction
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Solution Overview
Problem
Current data center management systems face inefficiencies in utilizing renewable energy, leading to surplus energy fluctuations and waste, particularly in regions with increasing renewable energy production.
Innovation Solution
A data center management system that includes an arithmetic device and storage device, which manages data center and application program candidates based on renewable energy characteristics, determining optimal combinations to reduce surplus renewable energy by scoring potential data center and application program pairs for efficient energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If renewable energy power generation amount increases in a region, then the amount of renewable energy supplied increases, but a surplus of renewable energy occurs due to fluctuation in power consumption demand
Solution Approach 1:
The system dynamically determines data center installation locations and application program types based on fluctuating renewable energy supply characteristics. The arithmetic device calculates scores for different combinations of data centers and applications, selecting optimal configurations that adapt to changing renewable energy availability, thereby reducing energy surplus and waste.
Solution Approach 2:
The system changes operational parameters by selecting different data center installation locations and application program types based on renewable energy characteristics. The arithmetic device evaluates multiple combinations and selects the optimal one that matches current renewable energy supply conditions, transforming the approach from static to parameter-adaptive deployment.
2Productivity
If data centers are deployed to utilize renewable energy, then energy efficiency improves, but the complexity of managing multiple data center candidates and application programs increases
Solution Approach 1:
The arithmetic device automatically determines optimal combinations of data center candidates and application program types by calculating scores based on renewable energy characteristics. The system self-manages the complex evaluation and selection process without requiring manual intervention, thereby maintaining energy efficiency while reducing management complexity.
Solution Approach 2:
The patent replaces manual management processes with an automated arithmetic device that calculates and compares scores for different data center and application combinations. This substitution of mechanical/manual operations with automated computational processes reduces management complexity while improving energy efficiency.
Data Source
AI summary
To reduce a power surplus of fluctuating renewable energy. Data center candidate management information indicates a characteristic of renewable energy supplied to each data center candidate. Application program type candidate management information indicates a characteristic of each application program type candidate. The system determines, with reference to the data center candidate management information and the application program type candidate management information, a plurality of combinations each including one or more data center candidates and one or more application program type candidates, determines a score of each combination based on a characteristic of renewable energy supplied to each of the one or more data center candidates and a characteristic of each of the one or more application program type candidates, and selects, based on the score, a combination to be presented.