Indirect Evaporative Cooling Control for Data Center Thermal Stability
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Solution Overview
Problem
Conventional solutions for controlling and optimizing indirect evaporative cooling units in data centers are not reliable or efficient, as they fail to account for the unique thermal dynamics and variations in data center building designs, leading to suboptimal thermal conditions and increased energy consumption.
Innovation Solution
A control system that utilizes temperature and pressure sensors to monitor and adjust the operating conditions of indirect evaporative cooling units, optimizing airflow and cooling modes to maintain a stable thermal environment while minimizing energy usage, by configuring the IDEC system to operate in dry air, evaporative, or DX modes, and adjusting fan speeds and mist volumes based on real-time sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional control solutions are used for IDEC units, then the system is simpler to implement, but the thermal conditions and energy efficiency are suboptimal
Solution Approach 1:
The patent implements a control system that continuously monitors thermal conditions (temperature, humidity, airflow) and uses this feedback to dynamically adjust IDEC unit operations. Sensors detect environmental parameters and the controller modifies cooling output accordingly, ensuring optimal thermal conditions while adapting to changing data center loads and ambient conditions.
Solution Approach 2:
The control system dynamically adjusts IDEC unit parameters including fan speeds, water flow rates, and cooling capacity based on real-time thermal conditions. The system transitions between different operating modes (evaporative cooling, dry cooling, DX cooling) depending on ambient temperature and humidity, providing adaptive thermal management rather than static operation.
2Reliability
If IDEC units operate at high cooling capacity to maintain thermal conditions, then temperature stability improves, but energy consumption increases
Solution Approach 1:
The control system applies partial cooling action by adjusting IDEC unit output to match actual thermal demands rather than operating at full capacity continuously. The system modulates fan speeds and water flow rates to provide precisely the cooling needed, avoiding excessive energy consumption while maintaining thermal stability through demand-responsive operation.
Solution Approach 2:
The system changes operating parameters (fan speed, water flow rate, cooling capacity) based on thermal conditions and ambient environment. By dynamically adjusting these parameters, the system optimizes the balance between cooling effectiveness and energy consumption, reducing power usage when full cooling capacity is not required while maintaining thermal stability.
3Power
If multiple IDEC units are deployed to handle varying thermal loads, then cooling capacity increases, but control complexity and coordination difficulty increase
Solution Approach 1:
The control system provides universal functionality by managing multiple IDEC units through a single integrated platform. The controller can operate each unit independently or coordinate them collectively, adapting to different operational scenarios. This multi-functional approach simplifies multi-unit coordination while maintaining the ability to scale cooling capacity across multiple devices.
4Use of energy by moving object
If evaporative cooling mode is used to reduce energy consumption, then energy efficiency improves, but cooling effectiveness decreases in high ambient temperature conditions
Solution Approach 1:
The system dynamically switches between evaporative cooling mode and alternative cooling modes (DX cooling, dry cooling) based on ambient temperature and humidity conditions. When evaporative cooling is effective, it operates in that mode for energy efficiency; when ambient conditions exceed evaporative cooling effectiveness, the system transitions to other modes to maintain cooling reliability.
Solution Approach 2:
The control system periodically monitors ambient conditions and adjusts cooling mode accordingly. It transitions between evaporative and non-evaporative cooling modes based on environmental thresholds, ensuring energy efficiency when conditions permit while maintaining cooling effectiveness when conditions require alternative approaches.
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
The solution effectively maintains optimal thermal conditions for data center IT components, reduces the impact of hot air recirculation, and minimizes cooling power consumption, thereby enhancing the reliability and energy efficiency of data center operations.
Implementation Method 1
IDEC uses evaporative cooling when the outside air dry-bulb temperature is not sufficiently low, in which it turns into a wet-blub temperature running mode
Implementation Method 2
It can be understood as an economization solution which uses outside air or liquid to cool the data center air through air-to-air or liquid-to-air heat exchangers
Data Source
AI summary
Embodiments of the present invention provide control solutions for data center thermal management and control using an IDEC system. The data center is arranged in a cold air room wall supply and hot air room wall return configuration. The sensors, such as temperature sensors and/or pressure sensors, are utilized to measure and record thermal data. The data is then processed and used to control the IDEC system to adjust operating conditions to satisfy dynamic thermal requirements of the data center. The control functions include: 1) controlling the IDEC system to adjust cooling modes and operating conditions as needed to maintain proper data center thermal environment; and 2) identifying different optimal operating conditions and parameters for the IT room and IDEC system.