Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Why Water Use Can Be As Important As Energy Consumption

When choosing a location, data centers often look for a location close to their end customers and one where there’s cheap electricity. Water was an afterthought, said Pedro Sancha, Senior Vice President and General Manager of Nalco Water, but that’s beginning to change. With water needed to cool the data center, companies were bringing in…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share
Why Water Use Can Be As Important As Energy Consumption

When choosing a location, data centers often look for a location close to their end customers and one where there’s cheap electricity.

Water was an afterthought, said Pedro Sancha, Senior Vice President and General Manager of Nalco Water, but that’s beginning to change.

With water needed to cool the data center, companies were bringing in Nalco after realizing they didn’t have the right permits or hadn’t worked out a way to bring in water effectively at all. Now it’s a main consideration when constructing the data center in the first place.

“They’re more proactive. They’re starting to engage us early in the process before they even decide where they’re going to build a data canter,” Sancha said.

Some are thinking big, like the Nalco client taking water from nature, utilizing it, cleaning it and putting it back into the world. Others are simply looking to be a bit more environmentally friendly or better understand how to lower costs. Many data centers are still using potable water, competing with average citizens for the general water supply.

“We do have technologies that help you optimize your cooling systems. Beyond choosing the right locations and the right cooling technology, there are ways existing data centers already can significantly reduce their water use,” Sancha said. “The irony is we need a lot of water to cool those data centers and support the technology revolution, but we also can use that technology to manage water in a smart way. That’s the full circle.”

Like the water cycle that brings us the precious resource to earth, it’s possible technology will help us create a positive loop, as well. For now, we can take heart that data centers are beginning to consider the implications of their setup on the aquatic world.

For the latest news, videos, and podcasts in the Software & Electronics Industry, be sure to subscribe to our industry publication.

Follow us on social media for the latest updates in B2B!

Twitter – @TechMKSL

Facebook – facebook.com/marketscale

LinkedIn – linkedin.com/company/marketscale

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512