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	<title>Comments on: Green code and green IT</title>
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	<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/</link>
	<description>All about electronics and circuit design</description>
	<lastBuildDate>Sat, 11 Jul 2026 20:00:25 +0000</lastBuildDate>
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		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-2/#comment-1881476</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Thu, 09 Jul 2026 11:42:44 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881476</guid>
		<description><![CDATA[Many modular units use direct-to-chip or immersion liquid cooling. Because the system is a tightly sealed, closed loop, the liquid recirculates indefinitely. This eliminates the need for massive evaporative cooling towers, slashing on-site freshwater consumption to near zero. 
For modules that do use air, the airflow architecture is optimized. 
Modular data centers could be in theory deployed exactly where the heat is needed. The modules can be built to capture the server exhaust heat directly from its sealed cooling loop and pumps it straight into the local water grid to heat buildings in cold climate locations.]]></description>
		<content:encoded><![CDATA[<p>Many modular units use direct-to-chip or immersion liquid cooling. Because the system is a tightly sealed, closed loop, the liquid recirculates indefinitely. This eliminates the need for massive evaporative cooling towers, slashing on-site freshwater consumption to near zero.<br />
For modules that do use air, the airflow architecture is optimized.<br />
Modular data centers could be in theory deployed exactly where the heat is needed. The modules can be built to capture the server exhaust heat directly from its sealed cooling loop and pumps it straight into the local water grid to heat buildings in cold climate locations.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-2/#comment-1881421</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Wed, 08 Jul 2026 11:05:36 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881421</guid>
		<description><![CDATA[Google Hamina data center in Finland uses Zero Fresh Water for Cooling. The data center captures its excess server heat and pumps it directly into the city&#039;s district heating network and excess goes into the Baltic Sea water.]]></description>
		<content:encoded><![CDATA[<p>Google Hamina data center in Finland uses Zero Fresh Water for Cooling. The data center captures its excess server heat and pumps it directly into the city&#8217;s district heating network and excess goes into the Baltic Sea water.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-2/#comment-1881419</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Wed, 08 Jul 2026 10:59:25 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881419</guid>
		<description><![CDATA[The entire direct water footprint of all US data centers combined is equal to about 80 average-sized irrigated crop farms (like a standard corn or soybean operation in the Midwest).
The direct water consumption of the entire US data center industry could be matched by just 7 or 8 massive industrial crop farms in places like California’s Central Valley or the Texas Panhandle. 
The US data center footprint is equivalent to roughly 6,000 to 8,000 non-irrigated family farms. 
Agriculture accounts for nearly 40% of all water withdrawals in the United States, whereas data center cooling accounts for just 0.01% (US data centers directly consumed 17.4 billion gallons of water annually). 
​The takeaway: If you took the water used by just one large agricultural county in California or Arizona, it would easily match or exceed the direct cooling water consumed by every single data center in the United States combined.]]></description>
		<content:encoded><![CDATA[<p>The entire direct water footprint of all US data centers combined is equal to about 80 average-sized irrigated crop farms (like a standard corn or soybean operation in the Midwest).<br />
The direct water consumption of the entire US data center industry could be matched by just 7 or 8 massive industrial crop farms in places like California’s Central Valley or the Texas Panhandle.<br />
The US data center footprint is equivalent to roughly 6,000 to 8,000 non-irrigated family farms.<br />
Agriculture accounts for nearly 40% of all water withdrawals in the United States, whereas data center cooling accounts for just 0.01% (US data centers directly consumed 17.4 billion gallons of water annually).<br />
​The takeaway: If you took the water used by just one large agricultural county in California or Arizona, it would easily match or exceed the direct cooling water consumed by every single data center in the United States combined.</p>
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	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-2/#comment-1881418</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Wed, 08 Jul 2026 10:52:04 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881418</guid>
		<description><![CDATA[When looking at the numbers, comparing data center water consumption to total US water usage reveals a stark reality: nationwide, data centers are a drop in the bucket, but locally, they can act like a giant straw. ​On a macro level, all US data centers combined consume less water than the nation&#039;s golf courses or the irrigation of a few large agricultural counties. Two-thirds of new data centers built since 2022 are located in regions already classified as water-stressed.
The total picture changes drastically depending on whether you look at direct water (used on-site for evaporative cooling) or indirect water (the massive amount of water consumed off-site by power plants generating electricity for the servers). 
In places like Phoenix, Arizona or West Texas, adding a multi-gigawatt data center campus places immense pressure on local aquifers and municipal drinking water supplies. 
Water-cooled facilities are highly energy-efficient but consume a lot water. Air-cooled facilities save water entirely but draw significantly more electricity, driving up power bills and indirect water consumption at the regional power plant.]]></description>
		<content:encoded><![CDATA[<p>When looking at the numbers, comparing data center water consumption to total US water usage reveals a stark reality: nationwide, data centers are a drop in the bucket, but locally, they can act like a giant straw. ​On a macro level, all US data centers combined consume less water than the nation&#8217;s golf courses or the irrigation of a few large agricultural counties. Two-thirds of new data centers built since 2022 are located in regions already classified as water-stressed.<br />
The total picture changes drastically depending on whether you look at direct water (used on-site for evaporative cooling) or indirect water (the massive amount of water consumed off-site by power plants generating electricity for the servers).<br />
In places like Phoenix, Arizona or West Texas, adding a multi-gigawatt data center campus places immense pressure on local aquifers and municipal drinking water supplies.<br />
Water-cooled facilities are highly energy-efficient but consume a lot water. Air-cooled facilities save water entirely but draw significantly more electricity, driving up power bills and indirect water consumption at the regional power plant.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-2/#comment-1881330</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Tue, 07 Jul 2026 06:27:10 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881330</guid>
		<description><![CDATA[&quot;This isn&#039;t something we normally test for.&quot; https://trib.al/J4JZt5W

Pipes Dreams
Meta’s AI Data Center Caught Infecting Town Water Supply With Deadly Bacteria
&quot;This isn&#039;t something we normally test for.&quot;
https://futurism.com/health-medicine/meta-ai-data-center-pathogen-bacteria-water?fbclid=IwdGRjcAS5bGxjbGNrBLlsQmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHges5vQDaNZ0Xy97GSqpgnfgYqYWTYr9OUDVKhB_mLSlong7LvyFSUJzzR4Q_aem_qb0sFGqSOz4lEtmeQ5s-5w

With public anger at AI data centers boiling over, all it takes is one bad neighbor to get every data center in town locked out.

That’s the story unfolding in Cheyenne, Wyoming, where local officials are revoking waste-dumping privileges for every data center campus connected to municipal water services. As Cowboy State Daily reported, the Cheyenne Board of Public Utilities has rolled out a sweeping ban on fill-and-flush discharge, the process in which data centers flood their cooling systems with water before powering up for the first time.

That decision came after one bad actor, the Meta-affiliated data center company Goat Systems LLC, flooded local waste water pipes with fill-and-flush swill containing a rare and deadly bacterium known as Cupriavidus gilardii. 

Though it seems nobody has contracted the potentially deadly bacterium as a result of Meta’s fill-and-flush, the city’s response to the incident underscores the degree to which people across the US are scrutinizing data centers — and the undeniable im]]></description>
		<content:encoded><![CDATA[<p>&#8220;This isn&#8217;t something we normally test for.&#8221; <a href="https://trib.al/J4JZt5W" rel="nofollow">https://trib.al/J4JZt5W</a></p>
<p>Pipes Dreams<br />
Meta’s AI Data Center Caught Infecting Town Water Supply With Deadly Bacteria<br />
&#8220;This isn&#8217;t something we normally test for.&#8221;<br />
<a href="https://futurism.com/health-medicine/meta-ai-data-center-pathogen-bacteria-water?fbclid=IwdGRjcAS5bGxjbGNrBLlsQmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHges5vQDaNZ0Xy97GSqpgnfgYqYWTYr9OUDVKhB_mLSlong7LvyFSUJzzR4Q_aem_qb0sFGqSOz4lEtmeQ5s-5w" rel="nofollow">https://futurism.com/health-medicine/meta-ai-data-center-pathogen-bacteria-water?fbclid=IwdGRjcAS5bGxjbGNrBLlsQmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHges5vQDaNZ0Xy97GSqpgnfgYqYWTYr9OUDVKhB_mLSlong7LvyFSUJzzR4Q_aem_qb0sFGqSOz4lEtmeQ5s-5w</a></p>
<p>With public anger at AI data centers boiling over, all it takes is one bad neighbor to get every data center in town locked out.</p>
<p>That’s the story unfolding in Cheyenne, Wyoming, where local officials are revoking waste-dumping privileges for every data center campus connected to municipal water services. As Cowboy State Daily reported, the Cheyenne Board of Public Utilities has rolled out a sweeping ban on fill-and-flush discharge, the process in which data centers flood their cooling systems with water before powering up for the first time.</p>
<p>That decision came after one bad actor, the Meta-affiliated data center company Goat Systems LLC, flooded local waste water pipes with fill-and-flush swill containing a rare and deadly bacterium known as Cupriavidus gilardii. </p>
<p>Though it seems nobody has contracted the potentially deadly bacterium as a result of Meta’s fill-and-flush, the city’s response to the incident underscores the degree to which people across the US are scrutinizing data centers — and the undeniable im</p>
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	</item>
	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-2/#comment-1881329</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Tue, 07 Jul 2026 05:42:26 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881329</guid>
		<description><![CDATA[https://www.eesi.org/articles/view/data-centers-and-water-consumption?hl=en-US]]></description>
		<content:encoded><![CDATA[<p><a href="https://www.eesi.org/articles/view/data-centers-and-water-consumption?hl=en-US" rel="nofollow">https://www.eesi.org/articles/view/data-centers-and-water-consumption?hl=en-US</a></p>
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	</item>
	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-2/#comment-1881328</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Tue, 07 Jul 2026 05:41:41 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881328</guid>
		<description><![CDATA[https://www.wri.org/insights/us-data-center-growth-impacts?hl=en-US]]></description>
		<content:encoded><![CDATA[<p><a href="https://www.wri.org/insights/us-data-center-growth-impacts?hl=en-US" rel="nofollow">https://www.wri.org/insights/us-data-center-growth-impacts?hl=en-US</a></p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-1/#comment-1881327</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Tue, 07 Jul 2026 05:38:42 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881327</guid>
		<description><![CDATA[https://apstechadvisors.com/data-center-water-consumption-in-the-us-challenges-trends-and-market-opportunities-for-2025-2030/?hl=en-US]]></description>
		<content:encoded><![CDATA[<p><a href="https://apstechadvisors.com/data-center-water-consumption-in-the-us-challenges-trends-and-market-opportunities-for-2025-2030/?hl=en-US" rel="nofollow">https://apstechadvisors.com/data-center-water-consumption-in-the-us-challenges-trends-and-market-opportunities-for-2025-2030/?hl=en-US</a></p>
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	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-1/#comment-1881314</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Mon, 06 Jul 2026 20:40:40 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881314</guid>
		<description><![CDATA[https://www.facebook.com/share/p/1GGYk9cJyB/

A massive Michigan data center is humming like a jet engine into nearby homes.

In the small town of Dowagiac, Michigan, residents living near a 30-megawatt data center say a constant mechanical hum has transformed daily life.

One homeowner compared it to living beside a jet engine.

Using his own sound meter, Billy Finn measured noise levels around 60 decibels from his porch – about as loud as a noisy dishwasher. At times, he says the sound has climbed as high as 78 decibels.

He says the hum is constant.

&quot;It’s like we’re living in a prison in our own yard, in our own house,&quot; his wife, Marjorie, told local media.

Two nearby homeowners have filed a lawsuit against the facility, alleging that excessive noise from the data center is invading their homes and reducing their quality of life. They argue the operator failed to install adequate sound barriers.

Noise complaints are becoming a recurring issue as AI data centers expand across the United States.

These facilities contain thousands of servers that run around the clock and require powerful cooling systems. While the computers themselves are relatively quiet, the large fans, cooling equipment, and backup infrastructure can generate a continuous low-frequency hum.

Health experts say noise at these levels is unlikely to damage hearing directly. However, long-term exposure to persistent environmental noise has been linked in some studies to increased stress, sleep disruption, and other health effects.

The data center operator has not publicly accepted the residents&#039; claims, and the lawsuit is ongoing.

As AI companies race to build more data centers, communities across the country are increasingly debating not only electricity and water use, but also what it means to live next door to the infrastructure powering artificial intelligence.

Learn more:
&quot;‘A prison in our own yard’: Life next to a data center — and its never-ending noise.&quot; MLive.]]></description>
		<content:encoded><![CDATA[<p><a href="https://www.facebook.com/share/p/1GGYk9cJyB/" rel="nofollow">https://www.facebook.com/share/p/1GGYk9cJyB/</a></p>
<p>A massive Michigan data center is humming like a jet engine into nearby homes.</p>
<p>In the small town of Dowagiac, Michigan, residents living near a 30-megawatt data center say a constant mechanical hum has transformed daily life.</p>
<p>One homeowner compared it to living beside a jet engine.</p>
<p>Using his own sound meter, Billy Finn measured noise levels around 60 decibels from his porch – about as loud as a noisy dishwasher. At times, he says the sound has climbed as high as 78 decibels.</p>
<p>He says the hum is constant.</p>
<p>&#8220;It’s like we’re living in a prison in our own yard, in our own house,&#8221; his wife, Marjorie, told local media.</p>
<p>Two nearby homeowners have filed a lawsuit against the facility, alleging that excessive noise from the data center is invading their homes and reducing their quality of life. They argue the operator failed to install adequate sound barriers.</p>
<p>Noise complaints are becoming a recurring issue as AI data centers expand across the United States.</p>
<p>These facilities contain thousands of servers that run around the clock and require powerful cooling systems. While the computers themselves are relatively quiet, the large fans, cooling equipment, and backup infrastructure can generate a continuous low-frequency hum.</p>
<p>Health experts say noise at these levels is unlikely to damage hearing directly. However, long-term exposure to persistent environmental noise has been linked in some studies to increased stress, sleep disruption, and other health effects.</p>
<p>The data center operator has not publicly accepted the residents&#8217; claims, and the lawsuit is ongoing.</p>
<p>As AI companies race to build more data centers, communities across the country are increasingly debating not only electricity and water use, but also what it means to live next door to the infrastructure powering artificial intelligence.</p>
<p>Learn more:<br />
&#8220;‘A prison in our own yard’: Life next to a data center — and its never-ending noise.&#8221; MLive.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2024/04/12/green-code-and-green-it/comment-page-1/#comment-1881254</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Sun, 05 Jul 2026 18:11:15 +0000</pubDate>
		<guid isPermaLink="false">https://www.epanorama.net/newepa/?p=195931#comment-1881254</guid>
		<description><![CDATA[Modern closed loop system has Near Zero water usage for cooling. Water is needed for initial charge, rare leaks, facility facility maintenance, and &quot;hotel loads&quot;. The water consumption is typically inder 0.1 to 0.3 liters per kWh (older data centers needed average of ~1.9 Liters per kWh). ​Facility &quot;Hotel Loads&quot; are standard commercial usage like bathrooms, showers, and drinking water for on-site staff (comparable to a single commercial restaurant). While closed-loop systems are a massive win for water conservation—especially in drought-prone or water-scarce regions where modern megawatt-scale AI facilities are being built—they present distinct trade-offs like increased energy consumption. 

Even if a closed-loop data center consumes zero water on-site, it still has an indirect water footprint via the electricity it consumes. Depending on the local power grid (e.g., if the electricity is generated by hydroelectric or thermoelectric power plants that require water for cooling), the data center indirectly drives water consumption upstream.]]></description>
		<content:encoded><![CDATA[<p>Modern closed loop system has Near Zero water usage for cooling. Water is needed for initial charge, rare leaks, facility facility maintenance, and &#8220;hotel loads&#8221;. The water consumption is typically inder 0.1 to 0.3 liters per kWh (older data centers needed average of ~1.9 Liters per kWh). ​Facility &#8220;Hotel Loads&#8221; are standard commercial usage like bathrooms, showers, and drinking water for on-site staff (comparable to a single commercial restaurant). While closed-loop systems are a massive win for water conservation—especially in drought-prone or water-scarce regions where modern megawatt-scale AI facilities are being built—they present distinct trade-offs like increased energy consumption. </p>
<p>Even if a closed-loop data center consumes zero water on-site, it still has an indirect water footprint via the electricity it consumes. Depending on the local power grid (e.g., if the electricity is generated by hydroelectric or thermoelectric power plants that require water for cooling), the data center indirectly drives water consumption upstream.</p>
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