Author(s)
Term
4. semester
Publication year
2021
Submitted on
2021-06-04
Pages
77 pages
Abstract
The current cooling market is dominated by conventional air-conditioning systems powered by electricity having a significant impact on the environment. In the 21st Conference of Parties, held in Paris, 175 countries agreed to take measurements to tackle climate change and keep the average global temperature below 1.5±C above the pre-industrial levels. Sustainable sources of energy can help meeting this target and significantly reduce the greenhouse gas emissions. From a societal perspective, switching to sustainable alternatives to conventional cooling systems brings massive benefits to the community. District cooling paves the road to a low-carbon society contributing to a sustainable way of living. To support decision making in the process of developing the district cooling market, automated workflows for estimating the cooling demand can help the utility companies to identify new areas of expansion. This master thesis explores this potential and aims at developing a fully automated process for assessing the cooling potential using aerial imagery.
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