Upside-down pyramid style...

"At the bottom of the well, the air remains 5-6 °C cooler than at the surface, and Chand Baori was used as a community gathering place for locals during periods of intense heat. One side of the well has a haveli pavilion and resting room for the royals."

https://en.wikipedia.org/wiki/Chand_Baori

#coolingsystems

Modern data centers are heat factories.

Most still rely on open-loop cooling systems where water is lost to evaporation, raising environmental stress in water-scarce regions.

🔗 https://theconversation.com/centres-de-donnees-pourquoi-leur-refroidissement-consomme-autant-deau-et-pourquoi-cela-pose-probleme-283514

#ClimateTech #CoolingSystems #WaterStress #AI #infrastructure

The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints

#AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

Date Published 3 Jun 2026

UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).

"This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health (#UNU-#INWEH) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.

"The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.

"Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."

Download PDF:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints

#AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
#DatacenterMoratoriums

Intelligent Cooling Systems Transform Industrial Efficiency and Smart Infrastructure
https://www.cashlesstime.com/2026/05/intelligent-cooling-systems-transform.html?m=1

#IntelligentCooling #SmartCooling #CoolingSystems #HVACTechnology #EnergyEfficiency #SmartInfrastructure #DataCenterCooling #IndustrialCooling #ArtificialIntelligence #IoTTechnology #SmartBuildings #ClimateControl #AutomationTechnology #GreenTechnology #SustainableInfrastructure

Tom’s Hardware: 3D-printed fan-less and pump-less liquid cooler can deliver 600 watts of cooling for data centers — passive design provides reusable heat, exceeds pr. “A research team comprising boffins from the Danish Technological Institute and the Heatflow company have come up with a 3D-printed cooler that can draw a whopping 600 W off a chip fully passively, without any pumps or fans, 3D […]

At Vidhata Plastics, a premier #plasticinjectionmouldmanufacturerinIndia, we leverage #advancedCFDtechniques to optimize #coolingsystems. This ensures reduced warpage, improved heat dissipation, and extended mold longevity, leading to the production of high-quality, high-volume #plasticparts.

Read this blog:
https://www.vidhata.co.in/post/how-to-optimize-mould-cooling-with-cfd-analysis-in-injection-moulds

IIAR: IIAR Releases Tool to Compare Refrigerants. “The International Institute of Ammonia Refrigeration said it has released a “Refrigerant Evaluator Tool” to help IIAR members and others assess their refrigerant choices and evaluate their options as the Environmental Protection Agency phases out high global warming potential refrigerants.”

https://rbfirehose.com/2025/01/19/iiar-iiar-releases-tool-to-compare-refrigerants/