Analisis Beban Pendingin pada Ruang Server/Data Center Institusi ABC di Gedung Wisma Mulia dengan Metode Cooling Load Temperature Difference

Susanto, Naufaldaffa Fauzan (2026) Analisis Beban Pendingin pada Ruang Server/Data Center Institusi ABC di Gedung Wisma Mulia dengan Metode Cooling Load Temperature Difference. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Data center merupakan infrastruktur penting dalam sistem teknologi informasi yang mendukung aktivitas komputasi berintensitas tinggi dan menghasilkan beban panas signifikan, sehingga memerlukan sistem pendinginan yang andal dan efisien. Sistem pendingin diketahui dapat menyerap hingga sekitar 40% dari total konsumsi energi data center, sehingga kesalahan dalam penentuan kapasitas pendingin berpotensi menimbulkan inefisiensi energi, peningkatan biaya operasional, serta gangguan keandalan sistem akibat kondisi termal yang tidak terkendali. Pada ruang data center Institusi ABC, sistem pendingin yang digunakan belum dirancang berdasarkan perhitungan beban panas aktual, melainkan masih mengandalkan pendekatan perkiraan umum, sehingga berisiko mengalami kondisi oversized maupun undersized. Penelitian ini bertujuan untuk menganalisis kebutuhan beban pendinginan ruang data center Institusi ABC berdasarkan standar perhitungan yang berlaku serta mengidentifikasi karakteristik beban panas yang memengaruhi kebutuhan kapasitas pendingin. Metode penelitian yang digunakan adalah metode deskriptif kuantitatif dengan pendekatan studi kasus melalui perhitungan beban pendinginan menggunakan metode Cooling Load Temperature Difference (CLTD) sesuai standar ASHRAE dengan mempertimbangkan beban panas internal dan eksternal. Hasil analisis menunjukkan bahwa total beban pendinginan ruang data center Institusi ABC sebesar 2.465.121,217 Btu/hr atau setara dengan 722,4555401 kW, dengan kerapatan beban pendinginan sebesar 1.688,77 Btu/hr per ft². Hasil ini menunjukkan perlunya perencanaan kapasitas sistem pendingin yang presisi untuk menjaga kondisi termal sesuai standar ASHRAE serta meningkatkan efisiensi energi dan keandalan operasional.
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Data centers are critical infrastructure in information technology systems that support high-intensity computing activities and generate significant heat loads, thereby requiring reliable and energy-efficient cooling systems. Cooling systems are known to account for up to approximately 40% of a data center’s total energy consumption; therefore, inaccuracies in cooling capacity design may lead to energy inefficiency, increased operational costs, and reduced system reliability due to uncontrolled thermal conditions. In the data center room of Institution ABC, the existing cooling system was not designed based on actual heat load calculations but rather on general estimations, resulting in potential oversized or undersized conditions. This study aims to analyze the cooling load requirements of the data center at Institution ABC based on applicable standards and to identify the characteristics of heat loads affecting cooling capacity requirements. The research employs a quantitative descriptive method with a case study approach using the Cooling Load Temperature Difference (CLTD) method in accordance with ASHRAE standards, considering both internal and external heat loads. The results indicate that the total cooling load of the data center is 2.465.121,217 Btu/hr, equivalent to 722,4555401 kW, with a cooling load density of 1.688,77 Btu/hr per ft². These results highlight the need for precise cooling system capacity planning to maintain thermal conditions in accordance with ASHRAE standards while improving energy efficiency and operational reliability.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Beban Pendinginan, Data Center, Mesin Pendingin
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ263 Heat exchangers
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21201-(S1) Undergraduate Thesis
Depositing User:	Naufaldaffa Fauzan Susanto
Date Deposited:	04 Feb 2026 01:44
Last Modified:	04 Feb 2026 01:44
URI:	http://repository.its.ac.id/id/eprint/132095

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