Data Center Airflow Assessment for Cooling Energy Optimization
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Solution Overview
Problem
Data centers face inefficiencies in managing airflow and energy usage, with cooling equipment consuming the majority of energy and existing methods requiring complex and costly computational fluid dynamics software for energy analysis.
Innovation Solution
A computer-implemented method and system for assessing and optimizing data center airflow and energy usage by determining the effectiveness of airflow distribution between cooling providers and consumers, adjusting settings such as airflow and coolant temperature to reduce energy consumption, and providing real-time feedback through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computational fluid dynamics (CFD) software is used for energy analysis, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a simplified computational model that copies the essential physics of CFD airflow simulation without requiring full CFD software. The model uses simplified equations to calculate airflow patterns, temperature distribution, and energy efficiency metrics, providing adequate precision for data center optimization while avoiding the complexity and cost of commercial CFD tools.
Solution Approach 2:
The patent employs a lightweight, computationally inexpensive model that can be executed rapidly on standard hardware. This disposable-like approach allows multiple quick simulations and iterations without the heavy computational resources required by CFD, enabling frequent assessments and real-time optimization.
2Reliability
If cooling equipment operates at higher capacity, then cooling reliability is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic optimization of cooling equipment operation by continuously adjusting airflow rates and coolant temperatures based on real-time conditions. The system determines optimal operating points that maintain adequate cooling reliability while minimizing energy consumption, avoiding both over-cooling and under-cooling scenarios.
Solution Approach 2:
The patent optimizes cooling performance by adjusting key parameters such as airflow rate, coolant temperature, and equipment positioning. By changing these parameters to optimal values, the system achieves reliable cooling with reduced energy consumption compared to fixed high-capacity operation.
3Reliability
If airflow settings are increased to improve cooling effectiveness, then cooling performance is improved, but fan power consumption increases
Solution Approach 1:
The patent dynamically optimizes airflow settings by calculating the optimal airflow rate that achieves adequate cooling performance while minimizing fan power consumption. The system adjusts airflow settings based on actual cooling needs rather than maintaining fixed high airflow, reducing unnecessary energy consumption by fans.
Solution Approach 2:
The patent uses feedback from temperature sensors and cooling effectiveness measurements to adjust airflow settings. The system monitors cooling performance and adjusts fan speeds and airflow rates accordingly, ensuring adequate cooling while avoiding excessive fan power consumption from overly aggressive airflow settings.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time, cost-effective airflow and energy-use assessments without specialized personnel, leading to significant energy savings by optimizing cooling settings and reducing fan power consumption.
Implementation Method 1
determining at least one value representative of the effectiveness of the distribution of airflow in the data center between the at least one cooling consumer and the at least one cooling provider
Implementation Method 2
receiving data regarding cooling availability and power consumption for the at least one cooling consumer, cooling capacity of the at least one cooling provider
Data Source
AI summary
A system and method for providing energy assessment and optimization in a data center that includes at least one cooling provider, and at least one cooling consumer, the at least one cooling consumer having cooling requirements. The method according to one aspect includes receiving data regarding cooling availability and power consumption for the at least one cooling consumer, cooling capacity of the at least one cooling provider, and a physical relationship between the at least one cooling consumer and the at least one cooling provider in the data center, storing the received data, determining airflow distribution effectiveness between the at least one cooling consumer and the at least one cooling provider, and displaying at least one value representative of the effectiveness of the distribution of airflow in the data center between the at least one cooling consumer and the at least one cooling provider.