PERFORMANCE ANALYSIS OF PRECISION AIR CONDITIONER COOLING SYSTEM IN COLLEGE DATA CENTER BASED ON INTERNET OF THINGS

• Main Author: Wildan Firdaus, Muhammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/74559
• Institution: Institut Teknologi Bandung

<p align="justify">This research aims to analyze the performance of the Precision Air Conditioner (PAC) cooling system in the data center room at the CRCS ITB Building, based on Internet of Things (IoT) technology. The data center room is a critical entity that requires an optimal environment to ensure its reliability and operational performance. Identifying potential improvements in energy efficiency and optimal temperature settings can help enhance the operational performance of the data center room, reduce operational costs, and minimize excessive energy usage. In this study, temperature data, energy consumption, and the Coefficient of Performance (CoP) of the PAC are collected and analyzed to evaluate the efficiency and effectiveness of the cooling system. The use of IoT sensors enables more accurate monitoring and control of the temperature in the data center room. The analysis involves monitoring the room temperature, the PAC's output temperature, as well as temperatures in critical areas such as server racks and data storage devices. Additionally, the CoP of the PAC is also evaluated to measure the efficiency of the cooling system. The results of this research provide valuable insights into the performance of the PAC cooling system in the data center room at the CRCS ITB Building, based on IoT, including information on Cooling Capacity and CoP. It is concluded that the variables influencing the CoP value include heat through walls (heat wall), ambient temperature, PAC running, and IT equipment load (IT Power).