ICT Load Arrangement Optimization Across Bases for Renewable Power
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Solution Overview
Problem
Existing methods for arranging ICT loads in data centers with renewable energy do not consider the purchase of deficit power or sale of surplus power, leading to increased costs.
Innovation Solution
An apparatus and method for determining an optimum arrangement of ICT loads that offsets power demand and supply, minimizing power purchase costs through pre-processing, main processing, and post-processing stages, including a multiple knapsack problem formulation to optimize virtual machine placement and power balancing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the arrangement of ICT loads is changed to utilize renewable energy power, then the utilization of renewable energy is improved, but the cost to purchase deficit power increases
Solution Approach 1:
The system performs preliminary action by changing the arrangement of ICT loads before power shortage occurs. The optimization apparatus determines the optimal arrangement of ICT loads in advance based on predicted renewable energy supply and power demand, so that when power shortage occurs, the arrangement is already optimized to minimize deficit power and reduce purchase costs.
Solution Approach 2:
The system applies dynamics by making the ICT load arrangement changeable and adaptable. The optimization apparatus dynamically adjusts the arrangement of ICT loads across multiple bases according to real-time or predicted renewable energy supply conditions and power demand, allowing the system to respond to varying conditions and minimize power purchase costs while maximizing renewable energy utilization.
2Use of energy by moving object
If the arrangement of ICT loads is changed to match renewable energy supply, then renewable energy utilization is improved, but the complexity of power management increases
Solution Approach 1:
The system applies segmentation by dividing the data center into multiple independent bases, each capable of independently arranging ICT loads and managing power. The optimization apparatus segments the power management problem into individual base-level decisions, making the overall complex problem manageable through localized optimization while achieving global efficiency.
Solution Approach 2:
The optimization apparatus serves as an intermediary between renewable energy supply and ICT load demand. It mediates the complex interactions by receiving supply information, processing optimization calculations, and determining optimal arrangements, thereby simplifying the overall power management complexity while maximizing renewable energy utilization.
Data Source
AI summary
An apparatus for determining an optimum arrangement of ICT loads includes a processor; and a memory storing instructions that cause the processor to execute a process. The process includes determining, using demand amounts of power demanded by ICT loads arranged at each base where a supply amount of power is available, as the optimum arrangement, an arrangement that minimizes, for the entire bases, costs incurred to purchase amounts of power exceeding the supply amount of power available at the base among the demand amounts of power demanded by the ICT loads when the ICT loads are arranged at the bases.