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How Singapore used to prevent and address problems from building the Data Center 👷🏞‍♂ïļ

Singapore is one of the Digital Hub hubs.

With the most dense data center in the world.

This growth is at a cost of high energy consumption.

About 7% of the country's electricity.

Including the enormous use of water in the cooling system.

To prevent digital infrastructure.

Impact on resource security

The Singapore government therefore once ordered a delay.

Building a new Data Center for 2019-2022

To overhaul all regulatory measures.

Today, Singapore has framed the solution.

Systematically through the four main approaches:

â€Ē Construction around the world Ep.14 â€Ē

Management Strategy

And prevent the problem of building a Data Center.

Of Singapore.

🟠 Use the Green Data Center Roadmap standard.

And a rigorous screening system.

▩ïļ designated a new Data Center.

Must have PUE value (Power Usage Effectiveness)

Not more than 1.3

(The closer to 1.0, the more energy-efficient)

Which is stricter than common standards in the region.

Global Average Threshold (Global Average)

It's around 1.55-1.58.

(According to Uptime Institute survey)

General average criteria in the region

It's 1.5 - 1.8.

If it's an old model or uses a cooling system,

With the same air, it could hit 1.8 to 2.0 +.

Because of the hot, humid weather.

▩ïļ modified from general authorization.

Come as an opening bid for the rights.

Based on sustainability technology,

Energy efficiency

And the economic benefits the country will enjoy.

Call for Application - DC-CFA)

🟠 innovative cooling system for the tropical region.

(Tropical DC Standards)

▩ïļ Singapore issued global standards.

Consent to raise the temperature in the Server room.

From the original 20-25 ° C to 26 ° C and above.

It reduces the function of air conditioning.

2-5% for every 1 ° C increase.

Without compromising device performance.

▩ïļ push Liquid Cooling

Promote the use of Direct-to-Chip Cooling Technology

And Immersion Cooling.

It is an immersion of the processing board in a conductive wood liquid.

Which is more energy and water efficient.

A hugely conventional air Chiller system.

🟠 solutions to energy and space constraints.

▩ïļ clean energy import policy.

(Clean Energy Imports)

By planning clean energy electricity imports.

4 gigawatts (GW) from neighbouring countries

Such as Laos, Indonesia, Malaysia.

To specifically support the growth of the Data Center.

▩ïļ cooperate with the private sector.

Develop Innovation Create Floating Data Center

To take advantage of seawater.

To help cool

And solve the problem of limited terrestrial space.

(Floating Data Center)

🟠 systematically manage water.

▩ïļ Configure Water Usage Effectiveness (WUE)

To below 2.0 cubic meters per megawatt-hour.

Ready to enforce water management standards

Public Utilities Board

By installing a water consumption meter.

Split by key points to check for leaks.

To prevent the Data Center.

Overuse of the country's water supply or recycled water

Results from this measure

It's like squeezing the Data Center in Singapore.

Must invest in technology

Direct-to-Chip Liquid Cooling

Or a closed loop system.

Which is in real practice.

So the numbers of new projects in Singapore were pressed down.

Less than 0.5 cubic meters per megawatt-hour

Which saves both water and fire.

It is a system that makes WUE and PUE values

Best at present.

As the above data shows,

Building Standardization

Strict since the design stage.

Can help prevent problems.

Reducing operating costs (OPEX)

And actually create long-term sustainability. 👷🏞‍♂ïļ

- - - - - - -

Think of supervising. No time to take care of yourself.

Or housing problems.

Let us be your comfort.

"N36 Engineering Co., Ltd."

# Job control engineer # Control construction work

# Construction Control Consultant

# Consulting engineer

# Check the house

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āļ‚āļ­āļ‡āļžāļĨāļąāļ‡āļ‡āļēāļ™āđ„āļŸāļŸāđ‰āļēāļ—āļąāđ‰āļ‡āļ›āļĢāļ°āđ€āļ—āļĻāđāļĨāļ°āļ„āļ§āļēāļĄāļ•āđ‰āļ­āļ‡āļāļēāļĢāđƒāļŠāđ‰āļ™āđ‰āļģāļĄāļŦāļēāļĻāļēāļĨāđƒāļ™āļĢāļ°āļšāļšāļĢāļ°āļšāļēāļĒāļ„āļ§āļēāļĄāļĢāđ‰āļ­āļ™ āļŠāđˆāļ‡āļœāļĨāđƒāļŦāđ‰āļĢāļąāļāļšāļēāļĨāļ•āđ‰āļ­āļ‡āļ­āļ­āļāļĄāļēāļ•āļĢāļāļēāļĢāđ€āļ‚āđ‰āļĄāļ‚āđ‰āļ™āļ—āļąāđ‰āļ‡āļāļēāļĢāļŠāļ°āļĨāļ­āļāļēāļĢāļāđˆāļ­āļŠāļĢāđ‰āļēāļ‡ Data Center āđƒāļŦāļĄāđˆāđāļĨāļ°āļāļēāļĢāļāļģāļŦāļ™āļ”āđ€āļāļ“āļ‘āđŒāļāļēāļĢāļšāļĢāļīāļŦāļēāļĢāļžāļĨāļąāļ‡āļ‡āļēāļ™ (PUE) āđƒāļŦāđ‰āļ­āļĒāļđāđˆāđƒāļ™āļĢāļ°āļ”āļąāļšāđ„āļĄāđˆāđ€āļāļīāļ™ 1.3 āļ‹āļķāđˆāļ‡āļ™āļąāļšāļ§āđˆāļēāļŠāļđāļ‡āļāļ§āđˆāļēāļĄāļēāļ•āļĢāļāļēāļ™āļ—āļąāđˆāļ§āđ‚āļĨāļāļ­āļĒāđˆāļēāļ‡āļŠāļąāļ”āđ€āļˆāļ™ āļŠāļīāļ‡āļ„āđ‚āļ›āļĢāđŒāļĒāļąāļ‡āļœāļĨāļąāļāļ”āļąāļ™āļ™āļ§āļąāļ•āļāļĢāļĢāļĄāļĢāļ°āļšāļšāļĢāļ°āļšāļēāļĒāļ„āļ§āļēāļĄāļĢāđ‰āļ­āļ™āļ—āļĩāđˆāđ€āļŦāļĄāļēāļ°āļŠāļģāļŦāļĢāļąāļšāđ€āļĄāļ·āļ­āļ‡āļĢāđ‰āļ­āļ™ (Tropical DC Standards) āđ€āļŠāđˆāļ™ āļāļēāļĢāļ›āļĢāļąāļšāļ­āļļāļ“āļŦāļ āļđāļĄāļīāļŦāđ‰āļ­āļ‡āđ€āļ‹āļīāļĢāđŒāļŸāđ€āļ§āļ­āļĢāđŒāđƒāļŦāđ‰āļŠāļđāļ‡āļ‚āļķāđ‰āļ™āļŠāđˆāļ§āļĒāļĨāļ”āļāļēāļĢāļ—āļģāļ‡āļēāļ™āļ‚āļ­āļ‡āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļ›āļĢāļąāļšāļ­āļēāļāļēāļĻ āđāļĨāļ°āļāļēāļĢāļ™āļģāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩ Liquid Cooling āļĄāļēāđƒāļŠāđ‰ āđ€āļŠāđˆāļ™ Direct-to-Chip Cooling āđāļĨāļ° Immersion Cooling āļ‹āļķāđˆāļ‡āļŠāđˆāļ§āļĒāļĨāļ”āļāļēāļĢāđƒāļŠāđ‰āļžāļĨāļąāļ‡āļ‡āļēāļ™āđāļĨāļ°āļ™āđ‰āļģāļ­āļĒāđˆāļēāļ‡āļĄāļĩāļ›āļĢāļ°āļŠāļīāļ—āļ˜āļīāļ āļēāļž āļŠāļģāļŦāļĢāļąāļšāļœāļđāđ‰āļ—āļĩāđˆāļ—āļģāļ‡āļēāļ™āđƒāļ™āļŠāļēāļĒāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđ‚āļ„āļĢāļ‡āļŠāļĢāđ‰āļēāļ‡āđāļĨāļ° Data Center āļ™āļĩāđ‰ āļ„āļ·āļ­āļšāļ—āđ€āļĢāļĩāļĒāļ™āļŠāļģāļ„āļąāļāļ—āļĩāđˆāđāļŠāļ”āļ‡āđƒāļŦāđ‰āđ€āļŦāđ‡āļ™āļ§āđˆāļēāļāļēāļĢāļšāļĢāļīāļŦāļēāļĢāļˆāļąāļ”āļāļēāļĢāļ—āļĢāļąāļžāļĒāļēāļāļĢāļ•āļąāđ‰āļ‡āđāļ•āđˆāļ‚āļąāđ‰āļ™āļ•āļ­āļ™āļ­āļ­āļāđāļšāļšāđāļĨāļ°āļ„āļąāļ”āđ€āļĨāļ·āļ­āļāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļ™āļąāđ‰āļ™āļĄāļĩāļœāļĨāļ›āļĢāļ°āđ‚āļĒāļŠāļ™āđŒāļ•āđˆāļ­āļ—āļąāđ‰āļ‡āļ­āļ‡āļ„āđŒāļāļĢāđāļĨāļ°āļ›āļĢāļ°āđ€āļ—āļĻāļ­āļĒāđˆāļēāļ‡āļĒāļąāđˆāļ‡āļĒāļ·āļ™ āļ™āļ­āļāļˆāļēāļāļ™āļĩāđ‰ āļ™āđ‚āļĒāļšāļēāļĒāļāļēāļĢāļ™āļģāđ€āļ‚āđ‰āļēāļžāļĨāļąāļ‡āļ‡āļēāļ™āļŠāļ°āļ­āļēāļ”āļˆāļēāļāļ›āļĢāļ°āđ€āļ—āļĻāđ€āļžāļ·āđˆāļ­āļ™āļšāđ‰āļēāļ™ āđ€āļŠāđˆāļ™ āļĨāļēāļ§ āļ­āļīāļ™āđ‚āļ”āļ™āļĩāđ€āļ‹āļĩāļĒ āđāļĨāļ°āļĄāļēāđ€āļĨāđ€āļ‹āļĩāļĒāđ€āļ›āđ‡āļ™āļ­āļĩāļāļāđ‰āļēāļ§āļŦāļ™āļķāđˆāļ‡āļ—āļĩāđˆāđāļŠāļ”āļ‡āđƒāļŦāđ‰āđ€āļŦāđ‡āļ™āļ–āļķāļ‡āļ„āļ§āļēāļĄāļ•āļąāđ‰āļ‡āđƒāļˆāļ‚āļ­āļ‡āļŠāļīāļ‡āļ„āđ‚āļ›āļĢāđŒāđƒāļ™āļāļēāļĢāļĨāļ”āļ āļēāļĢāļ°āļžāļĨāļąāļ‡āļ‡āļēāļ™āļ āļēāļĒāđƒāļ™āļ›āļĢāļ°āđ€āļ—āļĻāđāļĨāļ°āļĢāļ­āļ‡āļĢāļąāļšāļāļēāļĢāđ€āļ•āļīāļšāđ‚āļ•āļ‚āļ­āļ‡ Data Center āļ—āļĩāđˆāļĢāļ§āļ”āđ€āļĢāđ‡āļ§ āļāļēāļĢāļĢāđˆāļ§āļĄāļĄāļ·āļ­āļŠāļĢāđ‰āļēāļ‡ Data Center āļĨāļ­āļĒāļ™āđ‰āļģāđ€āļžāļ·āđˆāļ­āđƒāļŠāđ‰āļ›āļĢāļ°āđ‚āļĒāļŠāļ™āđŒāļˆāļēāļāļ™āđ‰āļģāļ—āļ°āđ€āļĨāļĢāļ°āļšāļēāļĒāļ„āļ§āļēāļĄāļĢāđ‰āļ­āļ™āļĒāļąāļ‡āđ€āļ›āđ‡āļ™āļ™āļ§āļąāļ•āļāļĢāļĢāļĄāļ—āļĩāđˆāļ™āđˆāļēāļˆāļąāļšāļ•āļēāļĄāļ­āļ‡āđƒāļ™āđ€āļŠāļīāļ‡āļāļēāļĢāļˆāļąāļ”āļāļēāļĢāļžāļ·āđ‰āļ™āļ—āļĩāđˆāđāļĨāļ°āļ—āļĢāļąāļžāļĒāļēāļāļĢāļ—āļĩāđˆāļˆāļģāļāļąāļ”āđƒāļ™āđ€āļĄāļ·āļ­āļ‡āļ‚āļ™āļēāļ”āđ€āļĨāđ‡āļ āļ™āļąāļšāđ€āļ›āđ‡āļ™āđāļ™āļ§āļ—āļēāļ‡āļ—āļĩāđˆāļ›āļĢāļ°āđ€āļ—āļĻāļ­āļ·āđˆāļ™ āđ† āļŠāļēāļĄāļēāļĢāļ–āđ€āļĢāļĩāļĒāļ™āļĢāļđāđ‰āđāļĨāļ°āļ›āļĢāļąāļšāđƒāļŠāđ‰āđ„āļ”āđ‰āļ•āļēāļĄāļšāļĢāļīāļšāļ—āļ‚āļ­āļ‡āļ•āļ™āđ€āļ­āļ‡ āļŠāļĢāļļāļ›āđāļĨāđ‰āļ§ āļāļēāļĢāļšāļĢāļīāļŦāļēāļĢāļˆāļąāļ”āļāļēāļĢāļ—āļĩāđˆāđ€āļ›āđ‡āļ™āļĢāļ°āļšāļš āļ„āļĢāļ­āļšāļ„āļĨāļļāļĄāļ—āļąāđ‰āļ‡āļžāļĨāļąāļ‡āļ‡āļēāļ™ āļ™āđ‰āļģ āđāļĨāļ°āđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩ āļĢāļ§āļĄāļ–āļķāļ‡āļĄāļēāļ•āļĢāļāļēāļ™āļ—āļĩāđˆāļŠāļąāļ”āđ€āļˆāļ™āđāļĨāļ°āđ€āļ‚āđ‰āļĄāļ‡āļ§āļ” āļŠāđˆāļ§āļĒāđƒāļŦāđ‰āļŠāļīāļ‡āļ„āđ‚āļ›āļĢāđŒāļŠāļēāļĄāļēāļĢāļ–āļ‚āļĒāļēāļĒāđ‚āļ„āļĢāļ‡āļŠāļĢāđ‰āļēāļ‡āļžāļ·āđ‰āļ™āļāļēāļ™āļ”āļīāļˆāļīāļ—āļąāļĨāđ„āļ”āđ‰āļ­āļĒāđˆāļēāļ‡āļĄāļąāđˆāļ™āļ„āļ‡āđāļĨāļ°āļĒāļąāđˆāļ‡āļĒāļ·āļ™ āļœāļĄāļ„āļīāļ”āļ§āđˆāļēāļŠāļģāļŦāļĢāļąāļšāļœāļđāđ‰āļ—āļĩāđˆāļŠāļ™āđƒāļˆāļ”āđ‰āļēāļ™āļāļēāļĢāļžāļąāļ’āļ™āļē Data Center āļŦāļĢāļ·āļ­āļāļēāļĢāļšāļĢāļīāļŦāļēāļĢāļˆāļąāļ”āļāļēāļĢāļŠāļīāđˆāļ‡āđāļ§āļ”āļĨāđ‰āļ­āļĄāđƒāļ™āļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļŠāļēāļĢāļŠāļ™āđ€āļ—āļĻ 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