Data Center Dry Cooler a awm bawk.

Data Center Dry Cooler a awm bawk.

Data center dry cooler IoT integration leh AI-driven analytics hmanga siam, predictive maintenance leh real-Hyperscale cloud computing environment-a hun hman dan optimization siam theihna a ni.

Product Thuhmahruai .

IoT-Hyperscale data center-a hman tur AI Dry Cooler hman theih a ni.

product-1178-884

- scale power plant lian takah chuan, hmanraw pawimawh tak takte tana temperature tha ber vawn rengna chu a pawimawh ber a nih chuan, dry cooler engineered for high - performance demands chu a langsar hle. Heat flux sang tak tak a handle theihna, 100 kW/m2 thleng a thlen theihna hian power generation facility-a thil pawimawh tak a ni. High - density finned - tube heat exchanger, inch khatah fin 12 a awm avangin heat transfer coefficient hmuhnawm tak 800 w/m2k a nei a, hei hian heat dissipation tha tak a siam thei a ni.

 

He dry cooler hi liquid - cooled, closed - loop system hmangin deionized water hmangin a thawk a. Power plant-ah chuan he design hian electrical conductivity risk a ti tlem a, sensitive electrical component leh system te a humhim thei a ni. Coolant chu a ti lum hle a, a temperature chu 25℃atanga 15℃ah a tihhniam a, hei hi high - power equipment hrang hrang stable operation atana pawimawh tak a ni a, HPC environment-a GPU array leh CPU clusters a support dan nen a inang a ni.

 

Redundant fan configuration hian fail - safe operation a pe a, power generation tibuai thei tur beisei loh taka shutdown a veng thei a ni. Tin, acoustic enclosure hian noise chu 55 dB(A)-ah a tihhniam bakah, plant operator-te tan hnathawhna hmun nuam zawk a siam bawk. - scale power plant lian tak takte tana siam, he dry cooler hian power - siam chhuah dan rintlak leh tangkaizia vawng reng turin hmun pawimawh tak a chang a, HPC clusters chhunga AI training leh scientific simulations-a a pawimawhzia ang bawkin.

 

Hyperscale cloud computing atana siam niin, he IoT-integrated AI Dry Cooler hian predictive maintenance chu Real-time performance optimization nen a inzawm a ni. Data center, HPC clusters, leh large-scale power plant-a 24/7 operation a support a, heat fluxes 100 kW/m2 thleng a handling a, chutih rualin PUE < 1.15 a enkawl bawk.

 

Core Specifications 1.1.

 

Parameter 100 a ni.

Chipchiar

Heat Flux hman dan tur .

100 kW/m2 (high-density server racks tan a tha ber)

finned-Tube design a ni.

12 fins inch khatah, 800 w/m2·k heat transfer coefficient

Cooling medium 1000 a ni.

Tui deionized (a khar-Loop liquid cooling) .

Temperature 1000 a ni.

Inlet: 25℃→ Outlet: 15℃(±0.5℃a dik) a ni.

IoT inzawmkhawmna .

4G/LTE inzawmna, AI Analytics Dashboard .

Noise level 1000 a ni.

55 DB(A) (Acoustic enclosure pawh a tel)

 

Technical lam chipchiar takin .

 

1

IoT & AI theihna a awm em?

◆ Predictive Maintenance: AI algorithms hian darkar 72 hmaa hlawhchhamna tur an sawi lawk theih nan real-Time data (fan speed, temperature differentials, vibration) an zirchiang a.

◆ Historical data storage hian proactive maintenance scheduling atan trend analysis a siam thei a ni.

◆ Remote monitoring: Mobile app hian PUE, coolant flow rates, leh energy hman dan tur dik tak-hun tracking a phalsak. Alerts hian anomalies (eg, filter clogged, fan failure) te tan automatic in a trigger thin.

 

2

Cooling performance .

◆ High-Density Heat Exchange: Inch khata fin 12 te hian airflow resistance a tih tlem rualin surface area a ti tam thei. Design hian unit khata 500+ server rack te tan heat dissipation a support a.

◆ Redundant Fan System: n+1 Fan configuration Maintenance neih chhung hian hnathawh chhunzawm zel a ni. Fan tin hi hot-swappable an ni a, replacement taking .<15 minutes.

 

3

Energy hman tangkai dan .

◆ Variable-Speed ​​fans: EC Motors AI-driven load prediction hmanga speed siamrem, fixed-speed model nena khaikhin chuan power consumption 35% a tihhniam.
◆ Kum khat chhunga energy humhimna: unit khatah $8,000+ ($0.12/kWh-ah).

◆ Deionized Water Loop: Electrical conductivity risk a tih tlem a, power plant leh HPC GPU cluster-a cooling high-voltage components atana tha ber a ni.

 

4

Application scenario hrang hrang .

◆ Hyperscale data centers: Cloud computing facility-a server 10,000+ a ti lum a, AWS/Azure-scale operations atan temperature tha ber a vawng reng a ni.

◆ HPC & AI Training Facilities: AI research lab-a GPU array-te tan cooling a support (eg, Nvidia A100 clusters), deep learning training neih laiin thermal throttling a veng thei.

◆ Large-Power plant lian tak tak: transformer leh generator te a ti lum a, thermal, nuclear leh renewable energy facility-a hnathawh nghet tak a awm theih nan a enkawl a ni.

 

5

Sumdawnna atana hman tur thumal .

◆ Brand & certification: [CoolsmartTM], CE, ISO 9001, UL listed

◆ MOQ: Unit 1 (bulk order tan chuan inremna siam theih a ni)

◆ A man:
1-4 units: $25,000-$28,000/unit
5-10 units: $22,000-$25,000/unit
Pawisa pek dan: T/T (30% deposit), L/C hmuh theihah
Lead time: ni 15-20 (customized), ni 7 (standard models)
A rilru a buai em em a, a rilru a hah em em bawk a. ISPM 15-certified wooden crates (2200×1800×2000mm)

 

6

Product a thatna te .

◆ AI-Driven efficiency: Predictive maintenance hmangin ruahmanna awm lo downtime chu 90% in a tihtlem a, uptime institute tier III/IV standards nen a inmil a ni.

◆ Modular Scalability: Unit te hi 10MW heat load thlenga handle theih turin parallel theih a ni a, data center tihzauh nan a tha hle.

◆ Low total cost of ownership: 20% in maintenance costs vs. traditional coolers, heat exchangers ah kum 10 chhung warranty a awm.

◆ Environment Compliance: Energy efficiency atana EU ERP Directive leh ROHS chu thil hlauhawm khapna atan a tlin.

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