Abstract

High-rise campus had varying energy characteristics on each floor, impacting cooling energy consumption. Understanding the cooling energy needs based on space characteristics plays a role in designing strategies to reduce energy consumption. It is essential to identify the cooling energy consumption for each floor function within high-rise campus buildings. The study conducted an analysis of high-rise campus characteristics by identifying and categorizing spaces based on their energy consumption zones. Spatial data was processed using mapping, and cluster correspondence analysis was employed to understand spatial relationships within high-rise campus buildings and their energy consumption. This research was carried out using Energy plus as an energy simulation based on a high-rise campus building model in the Jakarta sub urban region on a hot humid tropic. Campus building could be divided into four types of floors, as general, office, classroom and laboratory. The highest cooling energy was the laboratory.

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