#WaterConsumption

HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-06-25
HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-06-25

@gerrymcgovern

*The Detrimental Effects of Data Centers' Rising *

(7/n)

...point, two ideas come to mind:

1. Building en par with the centers' .

2. "Mining" in regions where they are melting 7), in particular at the poles, and transporting that water to regions with lands for purposes...

6) :
icirnigeria.org/how-nestle-nig

mastodon.social/@HistoPol/1106

HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-06-25

@gerrymcgovern

*The Detrimental Effects of Data Centers' Rising *

(6/n)

...The devastating effects that occur, when such as or monopolize the supply, can be seen in many locations. 6)

👉In my view, operators need to be obliged not only to purchase .
A similar program needs to be developed for the of the world's dwindling resources,👈
As a starting...

HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-06-25

@gerrymcgovern

*The Detrimental Effects of Data Centers' Rising *

(4/n)

...characterized as experiencing "extremely high" or "high" water scarcity.👈

The share is even larger, 43%, for the biggest centers, those that use 40 megawatt-hours or more of electricity each hour.

Two companies stood out in 's analysis as having the most data centers in high or extremely high water-stressed areas:

"@HistoPol The image is a slide from a presentation titled "Data Center Capacity Demands are Expected to Grow Rapidly." It is divided into two main sections, each with a distinct background color.

On the left side, there is a bar graph titled "Total Google Water Withdrawals by Year" with a subtitle "Millions of Gallons." The graph shows a steady increase in water consumption from 2,500 million gallons in 2016 to 8,653 million gallons in 2023, with a Compound Annual Growth Rate (CAGR) of 19%. The bars are blue, and the years are listed along the x-axis, with the corresponding water consumption values on the y-axis. The graph is set against a gray background.

On the right side, there is a yellow background with text and a chart titled "Global demand for data center capacity could more than triple by 2030." The text states that in 2024, McKinsey forecasted a 19-27% global growth per year. The chart shows three scenarios for data center capacity demand in 2030: a low-range scenario with a 19% CAGR, a mid-range scenario with a 22% CAGR, and an upper-range scenario with a 27% CAGR. The demand is projected to increase from 177 gigawatts in 2020 to 298 gigawatts in 2030. The chart is divided into three blue boxes, each representing a different scenario.

The slide includes a footnote indicating that the chart was compiled from reported water withdrawals, water consumption, and water use by data centers in Google's 2020, 2023, and 2019 Environmental Reports. The source is provided..
HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-06-25

@gerrymcgovern

*The Detrimental Effects of Data Centers' Rising *

(3/n)

...the installed base.
For another, through inefficient use. 4)

A whopping 40%, however, are due to building in already regions of the globe:

" found that 👉40% of the nation's planned and existing data centers are in areas that the nonprofit World Resources Institute, which focuses on sustainability research, has...

HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-06-25

@gerrymcgovern

*The Detrimental Effects of Data Centers' Rising *

(2/n)

...water that had been underground for millions of years. 1)

So much so, that even the Earth's axis has been affected. 2)

are aggravating water scarcity. 3)

For one thing, through the rapid growth of...

1) :
mastodon.social/@HistoPol/1118

mastodon.social/@HistoPol/1120

2) : science.org/content/article/hu

3) by :

nature.com/articles/s41545-021

HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-06-25

@gerrymcgovern

*The Detrimental Effects of Data Centers' Rising *

(1/n)

👉Increasing by threatens , , and drinking for low-income families👈

Even before the trend of water-cooling technology for data centers, an unsustainable, yet growing global population had been sucking the world dry from fresh water, in several cases even consuming...

"The image is a line graph titled "Global freshwater use over the long-run," showing global freshwater withdrawals for agriculture, industry, and domestic uses since 1900, measured in cubic meters per year. The x-axis represents the years from 1901 to 2014, and the y-axis represents the volume of freshwater use in cubic meters, ranging from 0 to 4 trillion m³. The graph shows a significant increase in freshwater use over time, with a sharp rise starting around the 1950s. The area under the curve is shaded in blue, and the label "World" is placed on the right side of the graph. The data source is the Global International Geosphere-Biosphere Programme (IGBP), and the graph is credited to Our World in Data. The graph includes interactive elements such as a timeline slider and download and share buttons.

Provided by @altbot, generated privately and locally using Ovis2-8B

🌱 Energy used: 0.210 Wh"

Source:

https://ourworldindata.org/water-use-stress"The image is a line graph titled "Domestic water withdrawals increased more than 600% since the 1960s." The graph shows the percent increase in water withdrawals by sector from 1960 to 2020. The x-axis represents the year, and the y-axis represents the percent increase in water withdrawals by sector. There are five lines on the graph, each representing a different sector: Domestic, Industrial, Total (all sectors), Irrigation, and Livestock. The Domestic line is the highest, indicating the largest increase, rising from around 100% in 1960 to over 600% in 2020. The Industrial line shows a moderate increase, while the Total (all sectors) line reflects the combined trend of all sectors. The Irrigation and Livestock lines show smaller increases compared to the other sectors. The graph is sourced from the Authors, AQUEDUCT, and the World Resources Institute.

Provided by @altbot, generated privately and locally using Ovis2-8B"


https://www.wri.org/insights/domestic-water-use-grew-600-over-past-50-years"@HistoPol The image is a slide from a presentation titled "Data Center Capacity Demands are Expected to Grow Rapidly." It is divided into two main sections, each with a distinct background color.

On the left side, there is a bar graph titled "Total Google Water Withdrawals by Year" with a subtitle "Millions of Gallons." The graph shows a steady increase in water consumption from 2,500 million gallons in 2016 to 8,653 million gallons in 2023, with a Compound Annual Growth Rate (CAGR) of 19%. The bars are blue, and the years are listed along the x-axis, with the corresponding water consumption values on the y-axis. The graph is set against a gray background.

On the right side, there is a yellow background with text and a chart titled "Global demand for data center capacity could more than triple by 2030." The text states that in 2024, McKinsey forecasted a 19-27% global growth per year. The chart shows three scenarios for data center capacity demand in 2030: a low-range scenario with a 19% CAGR, a mid-range scenario with a 22% CAGR, and an upper-range scenario with a 27% CAGR. The demand is projected to increase from 177 gigawatts in 2020 to 298 gigawatts in 2030. The chart is divided into three blue boxes, each representing a different scenario.

The slide includes a footnote indicating that the chart was..."

Source: National Association of State Utility Consumer Advocates

https://www.nasuca.org/wp-content/uploads/2025/02/2025-06-10-NASUCA-Data-Centers-Final-Schneider."
2025-06-21

England’s rivers ‘under threat’ as water extraction surges to record levels. Investigation finds 76% rise in water taken from rivers and lakes for industrial or public consumption in two decades. #water #groundwater #depletion #waterconsumption #England #rivers theguardian.com/environment/20

Yonhap Infomax Newsinfomaxkorea
2025-05-22

Yonhap News Economy TV's 'Magazine Y' to feature episode on identifying healthy water and proper consumption methods, airing lifestyle and financial tips

en.infomaxai.com/news/articleV

2025-01-19

interesting news about sanitation technology
instead of deluting urine in water purification unit -> use urine as fertilizer

p2green.eu/about/

TURNING HUMAN SANITARY WASTE INTO FERTILIZER has received funding from the #HorizonEurope research and innovation programme under No° 101081883

#Sanitaerwende
#NutrientRecycling int

#WaterConsumption

Value Creation Opportunities: Value creation, key drivers and barriers within nutrient recycling
#P2Green

youtube.com/watch?v=zFKkTtKLuL

eicker.news ᳇ tech newstechnews@eicker.news
2025-01-18
2025-01-07

Has anyone here already tried an #ultrasound device to #wash #clothes.

I'm curious how well this works and whether people have positive or negative feedback on this?

Example of device I've found: dolfi.co

#washingMachine #laundry #water #waterConsumption #sustainability #lowTech

2024-10-27

Not to mention all the #WaterConsumption! There are plans to restart aging nuclear reactor as well as untested SMR reactors! Will #AI’s huge energy demands spur a #nuclear renaissance?

By Davide Castelvecchi
25 October 2024

Do small modular reactors carry extra risks?

"In some cases, small modular reactors 'could actually push nuclear power in a more dangerous direction', says #EdwinLyman. 'Advanced isn’t always better.'

"In particular, Lyman points out that the pebble-bed designs drawn up by #XEnergy and #Kairos would rely on high-assay low-enriched #uranium (#HALEU), which comprises 10–20% uranium-235 — compared with the 5% enrichment level required by most existing reactors (and by #NuScale’s reactor). HALEU is still classified as low-enrichment fuel (as opposed to the highly enriched uranium used to make nuclear bombs), but that distinction is misleading, Lyman says. In June, he and his collaborators — including physicist Richard Garwin, who led the design of the first hydrogen bomb — warned in a Science article that a bomb could be built with a few hundred kilograms of HALEU, with no need for further enrichment.

"Smaller reactors are also likely to produce more nuclear waste and to use fuel less efficiently, according to work reported in 2022 by Macfarlane and her collaborators. In a full-size reactor, most of the neutrons produced by the splitting of uranium travel through a large volume of fuel, meaning that they have a high probability of hitting another nucleus, rather than colliding with the walls of the reactor vessel or escaping into the surrounding building. 'When you shrink the reactor, there’s less material in there, so you will have more neutron leakage,' Macfarlane says. These rogue neutrons can be absorbed by other atomic nuclei — which would then themselves become radioactive."

Original article:
nature.com/articles/d41586-024

Archived version:
archive.ph/mODpF#selection-952

#AI #ArtificialIntelligence #Cryptocurrency #DataCenters #RethinkNotRestart #NoNukesForAI #NoNukes #NuclearHype #NeutronEmbrittlement #NuclearWaste #NotCarbonFree

2024-10-27

Remember how #Skynet and #Terminators were just fine with a #nuclear devastated world? Hmmm... #BigTech is going all in on #NuclearPower as sustainability concerns around #AI grow

Yahoo Finance
Daniel Howley
October 23, 2024

"#ArtificialIntelligence has driven shares of tech companies like #Microsoft (#MSFT), #Amazon (#AMZN), #Nvidia (N#VDA), and #Google (GOOG, GOOGL) to new highs this year. But the technology, which companies promise will revolutionize our lives, is driving something else just as high as stock prices: #EnergyConsumption [and #WaterConsumption].

"#AI #DataCenters use huge amounts of power and could increase energy demand by as much as 20% over the next decade, according to a Department of Energy spokesperson. Pair that with the continued growth of the broader cloud computing market, and you’ve got an energy squeeze.

"But Big Tech has also set ambitious sustainability goals focused on the use of low-carbon and zero-carbon sources to reduce its impact on climate change. While renewable energy like solar and wind are certainly part of that equation, tech companies need uninterruptible power sources. And for that, they’re leaning into #NuclearPower.

"Tech giants aren’t just planning to hook into existing plants, either. They’re working with energy companies to bring mothballed facilities like Pennsylvania’s Three Mile Island back online and looking to build small modular reactors (#SMRs) that take up less space than traditional plants and, the hope is, are cheaper to construct.

"But there are still plenty of questions as to whether these investments in nuclear energy will ever pan out, not to mention how long it will take to build any new reactors."

Read more:
aol.com/finance/big-tech-going

#AI #NoNukesForAI #Cryptocurrency #WaterIsLife #NoNukes #RethinkNotRestart #ThreeMileIsland #TheTerminator #JudgmentDay #NuclearPowerNoThanks

"Artificial intelligence technology is guzzling water and energy in California and around the globe, yet most tech companies have not been forthcoming about the actual environmental costs of their applications"

But ChatGPT says they are working on renewable energy solutions, so don't worry.

Whatever you say, Hal
#Artificial_Intelligence
#ClimateandEnvironment
#energyconsumption
#waterconsumption

latimes.com/environment/newsle

Nick EspinosaNickAEsp
2024-07-30

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