#coolingsystems — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #coolingsystems, aggregated by home.social.
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University of Hawaii: Rising heat, humidity threatens cheaper AI data center cooling methods. “Reliable operation of data centers has become essential to nearly all sectors of modern society, including healthcare, education, government services, power grid operation, banking, defense and disaster relief. New research published in Scientific Reports and led by University of Hawaiʻi at Mānoa […]
https://rbfirehose.com/2026/07/16/university-of-hawaii-rising-heat-humidity-threatens-cheaper-ai-data-center-cooling-methods/ -
University of Hawaii: Rising heat, humidity threatens cheaper AI data center cooling methods. “Reliable operation of data centers has become essential to nearly all sectors of modern society, including healthcare, education, government services, power grid operation, banking, defense and disaster relief. New research published in Scientific Reports and led by University of Hawaiʻi at Mānoa […]
https://rbfirehose.com/2026/07/16/university-of-hawaii-rising-heat-humidity-threatens-cheaper-ai-data-center-cooling-methods/ -
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.
#ClimateTech #CoolingSystems #WaterStress #AI #infrastructure
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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 -
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 -
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 -
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 -
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
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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
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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 […]
https://rbfirehose.com/2026/01/26/toms-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/ -
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 […]
https://rbfirehose.com/2026/01/26/toms-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/ -
Optimized Display Cooling for Harsh Climates
❄️ Outdoor LCDs can endure extreme temperatures thanks to intelligent cooling systems that maintain consistent performance in hot or cold environments. Active and passive cooling methods ensure long-term reliability.
#ThermalManagement #OutdoorTech #CoolingSystems #HarshClimateDisplays -
Maximizing Outdoor LCD Performance with Advanced Cooling Systems
❄️ Thermal management is key to maximizing the performance and lifespan of outdoor LCD displays. Our advanced cooling systems ensure reliable operation in extreme temperatures.
#ThermalManagement #OutdoorTech #SmartDisplays #CoolingSystems -
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/
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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/
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On #WorldSnowmanDay—promoting social & environmental actions—we spotlight our #IceBattery at the Institute for #Hydrogen & #EnergyTechnology, developed with Genes Kältetechnik. ☃️ Discover how #SolarEnergy runs #CoolingSystems autonomously, fostering a #Sustainable future—no extra energy needed! Learn more in our Campuls article: https://t1p.de/iarql #wdosm
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On #WorldSnowmanDay—promoting social & environmental actions—we spotlight our #IceBattery at the Institute for #Hydrogen & #EnergyTechnology, developed with Genes Kältetechnik. ☃️ Discover how #SolarEnergy runs #CoolingSystems autonomously, fostering a #Sustainable future—no extra energy needed! Learn more in our Campuls article: https://t1p.de/iarql #wdosm
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On #WorldSnowmanDay—promoting social & environmental actions—we spotlight our #IceBattery at the Institute for #Hydrogen & #EnergyTechnology, developed with Genes Kältetechnik. ☃️ Discover how #SolarEnergy runs #CoolingSystems autonomously, fostering a #Sustainable future—no extra energy needed! Learn more in our Campuls article: https://t1p.de/iarql #wdosm
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A text version of a #DW #video I posted earlier in this thread covering alternatives to #AirConditioning for places where #AC—and the need for such #CoolingSystems—is ubiquitous, and for places where it hasn't been needed until our ongoing #ClimateChange catastrophe.
Everything, Everywhere, All at Once solutions are our best hope for survival, and possible thriving after.
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A text version of a #DW #video I posted earlier in this thread covering alternatives to #AirConditioning for places where #AC—and the need for such #CoolingSystems—is ubiquitous, and for places where it hasn't been needed until our ongoing #ClimateChange catastrophe.
Everything, Everywhere, All at Once solutions are our best hope for survival, and possible thriving after.
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Keeping Thermal Plants Cool Without Breaking the Cooling Water Budget - Steam generators in thermal (steam-cycle) power plants require a constant influx o... - https://hackaday.com/2023/07/13/keeping-thermal-plants-cool-without-breaking-the-cooling-water-budget/ #coolingsystems #steamgenerator #thermalcycle #engineering #originalart #featured #science
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Keeping Thermal Plants Cool Without Breaking the Cooling Water Budget - Steam generators in thermal (steam-cycle) power plants require a constant influx o... - https://hackaday.com/2023/07/13/keeping-thermal-plants-cool-without-breaking-the-cooling-water-budget/ #coolingsystems #steamgenerator #thermalcycle #engineering #originalart #featured #science
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Environmental Impact of AI Models Takes Center Stage Amid Criticism Against Bitcoin Mining - While bitcoin’s effect on the environment has been discussed at length over the la... - https://news.bitcoin.com/environmental-impact-of-ai-models-takes-center-stage-amid-criticism-against-bitcoin-mining/ #universityofcoloradoriverside #universityoftexasarlington #naturallanguageprocessing #greenhousegasemissions #censorshipresistance #contrarianviewpoint #environmentalimpact #coolingsystems
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Environmental Impact of AI Models Takes Center Stage Amid Criticism Against Bitcoin Mining - While bitcoin’s effect on the environment has been discussed at length over the la... - https://news.bitcoin.com/environmental-impact-of-ai-models-takes-center-stage-amid-criticism-against-bitcoin-mining/ #universityofcoloradoriverside #universityoftexasarlington #naturallanguageprocessing #greenhousegasemissions #censorshipresistance #contrarianviewpoint #environmentalimpact #coolingsystems