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Summary
Artificial intelligence (AI) is quietly transforming how cities generate, store and distribute energy, acting as the invisible conductor that orchestrates cleaner, smarter and more resilient cities.
By integrating renewables — from solar panels and wind turbines to geothermal grids, hydrogen plants, electric vehicles and batteries — AI can enable cities to manage diverse energy sources as a single, intelligent system.
In Munich, Germany, AI is improving geothermal district heating by using underground sensors to monitor temperature and moisture levels in the ground.
The collected data feeds into a digital simulation model that helps optimize network operations. In more advanced versions, during winter cold snaps, such systems can suggest lowering flow to underused spaces like half-empty offices and boosting heat where demand is higher, such as in crowded apartments.
This intelligent, self-optimizing approach extends the life of equipment and delivers more warmth with the same energy input.
This is a breakthrough with enormous potential for cities in cold climates with established geothermal networks, such as Winnipeg in Canada and Iceland’s Reykjavik.
Although these cities have not yet adopted AI-driven monitoring systems, they could benefit from AI’s real-time improvements in efficiency, comfort and energy savings during harsh winters — a principle that holds true wherever geothermal district heating and cooling exists.
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#News#DistrictHeating#DistrictCooling#GeothermalandGeo-Exchange