Analisis Energi Pada Sistem Pengondisian Udara di Data Center Menggunakan Metode Computational Fluid Dynmaics

Dhiyansyah, Shafly Syawal (2020) Analisis Energi Pada Sistem Pengondisian Udara di Data Center Menggunakan Metode Computational Fluid Dynmaics. Undergraduate thesis, Institut Teknologi Sepeuluh Nopember.

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Abstract

Keberadaan data center meningkat di beberapa tahun terakhir untuk membutuhi kebutuhan pemrosesan dan penyimpanan dari internet dan cloud computing. Fasilitas data center memiliki beban panas yang sangat tinggi yang menghasilkan jumlah konsumsi energi yang sangat besar. Perkembangan yang terjadi pada densitas panas dari IT server menyebabkan meningkatnya kebutuhan energi untuk mendinginkannya, dan menghasilkan sekitar 40% dari daya yang dikonsumsi oleh data center. Sehingga, peningkatan efesiensi energi pada data center telah menjadi fokus penelitian di beberapa tahun belakangan ini. Pada penelitian ini, analisis pengaruh perubahan temperatur suplai air conditioning (AC) terhadap kapasitas refrigerasi dan kerja kompresor AC, daya server dan power usage effectiveness (PUE) data center menggunakan metode computational fluid dynamics (CFD) dilakukan. Variasi temperatur suplai AC berada pada skala 19-25oC. Berdasarkan hasil simulasi, nilai kapasitas refrigerasi tertinggi dan terendah berada pada temperatur suplai AC 22oC berturut-turut adalah 81,38 dan 5,24 kW. Nilai PUE yang paling optimal berada pada temperatur suplai AC 22oC karena memiliki daya server keseluruhan cukup rendah yaitu 84,17 kW dan memiliki daya non-IT yang paling rendah dari rentang temperatur suplai AC lainnya yaitu 130,33 kW dan juga, daya AC pada temperatur 22oC memiliki nilai paling rendah daripada yang lainnya yaitu 29,53 kW. =========================================================================================================================================================================== The number of data center has been increasing in the last few years due to the demand of a processing and storage for the internet and cloud computing. Data center facility has high heat loads, which result in a large amount of energy consumption. The growth in the heat densities of IT servers leads to a rise in the energy needed for cooling and constitutes approximately 40% of the power consumed by data centers. Therefore, improving the energy efficiency of data centers has become a research focus in recent years. In this study, analysis of the effect of changes in supply air conditioning temperature on the refrigeration capacity and compressor work, server power, and power usage effectiveness (PUE) of data centers was carried out using computational fluid dynamics (CFD). AC supply temperature was set on the range between 19 and 25oC. The simulation results indicate that the highest and lowest refrigeration capacity values at 22oC AC supply temperatures are 81,38 and 5,24 kW, respectively. The optimal AC supply temperature is found at 22oC because it has a fairly low overall server power of 84,17 kW and yields the lowest non-IT power compared to other AC supply temperature with non-IT power of 130,33 kW and also, AC power on 22oC AC supply temperature yields the lowest value than other AC supply temperature with AC power of 29,53 kW.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Kata Kunci: data center, air conditioning, server, power usage effectiveness.
Subjects: Q Science > QC Physics > QC320 Heat transfer
T Technology > TA Engineering (General). Civil engineering (General) > TA347 Finite Element Method
T Technology > TA Engineering (General). Civil engineering (General) > TA357 Computational fluid dynamics. Fluid Mechanics
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4035.R4 Refrigeration and refrigerating machinery
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Shafly Syawal Dhiyansyah
Date Deposited: 04 Aug 2020 03:23
Last Modified: 03 Sep 2020 04:27
URI: https://repository.its.ac.id/id/eprint/76884

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