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Cooling supply is expected to be the fastest growing energy consumer of buildings. However, the majority of both comfort and industrial cooling supply is still based on costly and CO2-intensive supply technologies such as compression chillers (CC). At the same time, only sparse information exists on the spatial distribution and installed cooling capacities of cooling installations worldwide. The aim of this study is therefore, to introduce a novel approach to identify and quantify installed cooling capacities of CCs by aerial image analysis. We demonstrate this easily applicable method at a university campus in Germany, where 36 air-cooled CCs with a total installed cooling capacity of 20.5 MW are considered. The installed cooling capacities of all detected CCs are estimated based on the number of identified fans by considering the performance specifications of the respective CC manufactures. The comparison with the actual installed cooling capacities revealed an average deviation of 36 %. With increasing installed cooling capacity (> 350 kW) the relative accuracy of the method improves indicating a higher suitability of the applied method for larger installations. The proposed method can significantly contribute to an improved understanding of location and quantity of cooling capacities and enables facilitated sustainable urban planning and the transition from decentralized cooling machines to renewable and sustainable supply solutions.
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science – Springer Journals
Published: Feb 16, 2021
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