Setiawan, Muhammad Gani (2026) Berikut penulisan teks tersebut dalam format Title Case (kapital di setiap awal kata): Perancangan Perhitungan Colling Load Lantai 3 Tower 4 ITS Dengan Menggunakan Metode RTS (Radiant Time Series) SHGC (Solar Heat Gain Coefficient), Dan U-Value ASHRAE. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perancangan sistem tata udara pada bangunan pendidikan memerlukan perhitungan beban pendingin (cooling load) yang akurat untuk menjamin kenyamanan termal penghuni sekaligus meningkatkan efisiensi energi, Ketidaktepatan dalam menentukan kapasitas sistem pendingin udara dapat mengakibatkan pemborosan energi, penurunan kinerja sistem, serta berkurangnya kenyamanan pengguna ruangan, Penelitian ini bertujuan untuk menghitung dan menganalisis beban pendingin pada Lantai 3 Tower 4 Institut Teknologi Sepuluh Nopember (ITS) menggunakan metode Radiant Time Series (RTS), Solar Heat Gain Coefficient (SHGC), dan U-Value berdasarkan standar ASHRAE, serta menentukan kapasitas sistem pengkondisian udara yang sesuai dengan kebutuhan bangunan, Penelitian dilakukan melalui pengumpulan data lapangan yang meliputi dimensi ruangan, orientasi bangunan, karakteristik material selubung bangunan, luas bukaan kaca, jumlah penghuni, sistem pencahayaan, dan peralatan listrik, Perhitungan beban pendingin mencakup beban panas eksternal berupa radiasi matahari melalui kaca dan perpindahan panas melalui dinding, atap, lantai, serta pintu, maupun beban panas internal yang berasal dari penghuni, pencahayaan, dan peralatan listrik, Metode RTS digunakan untuk memperhitungkan efek penyimpanan panas pada material bangunan sehingga menghasilkan estimasi beban pendingin yang lebih representatif terhadap kondisi aktual bangunan, Hasil perhitungan manual kemudian divalidasi menggunakan perangkat lunak DK-BIM Daikin untuk mengevaluasi tingkat kesesuaian hasil analisis, Hasil penelitian menunjukkan bahwa total beban pendingin pada Lantai 3 Tower 4 ITS sebesar 677,062,22 Btu/hr, Beban pendingin terbesar terdapat pada ruang Auditorium sebesar 216,076,19 Btu/hr, sedangkan beban pendingin ruang kelas berada pada rentang 43,957,14–44,054,32 Btu/hr, Hasil validasi menggunakan DK-BIM menunjukkan nilai error rata-rata sebesar 1,44%, dengan 72,73% ruangan memiliki nilai error di bawah 2%, sehingga hasil perhitungan manual dinyatakan memiliki tingkat kesesuaian yang baik terhadap hasil simulasi, Berdasarkan hasil perhitungan tersebut, dipilih sistem Variable Refrigerant Volume (VRV) Daikin dengan refrigeran R410A, menggunakan unit indoor tipe FXFQ80AV4 Ceiling Mounted Cassette (Round Flow) pada ruang kelas dan FXMQ250PVM Ceiling Mounted Duct pada area koridor serta auditorium, Sistem tersebut didukung oleh empat unit outdoor VRV dengan total kapasitas pendinginan desain sebesar 1,025,874 Btu/hr, sehingga mampu memenuhi kebutuhan pendinginan seluruh area pada Lantai 3 Tower 4 ITS, Analisis kerapatan beban pendinginan menunjukkan bahwa nilai tertinggi terdapat pada ruang kelas, yaitu sebesar 717,7–742,3 Btu/hr·m², sedangkan nilai terendah terdapat pada auditorium sebesar 297,7 Btu/hr·m² berdasarkan perhitungan manual, Hasil penelitian menunjukkan bahwa kerapatan beban pendinginan lebih dipengaruhi oleh densitas hunian dibandingkan besarnya beban panas per individu, Penelitian ini menunjukkan bahwa metode RTS, SHGC, dan U-Value berdasarkan standar ASHRAE dapat digunakan untuk menghasilkan perhitungan beban pendingin yang akurat dan layak dijadikan dasar dalam perancangan sistem tata udara yang efektif, efisien, dan sesuai dengan kebutuhan bangunan pendidikan
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The design of air conditioning systems in educational buildings requires accurate cooling load calculations to ensure occupants' thermal comfort while improving energy efficiency, Inaccurate determination of air conditioning system capacity may result in energy waste, reduced system performance, and occupant discomfort, This study aims to calculate and analyze the cooling load of the 3rd Floor of Tower 4 at Institut Teknologi Sepuluh Nopember (ITS) using the Radiant Time Series (RTS) method, Solar Heat Gain Coefficient (SHGC), and U-Value based on ASHRAE standards, as well as to determine the appropriate air conditioning system capacity for the building, The research was conducted through field data collection, including room dimensions, building orientation, building envelope material characteristics, glazing area, occupancy levels, lighting systems, and electrical equipment, The cooling load calculation consisted of external heat gains from solar radiation through glazing and heat transfer through walls, roofs, floors, and doors, as well as internal heat gains generated by occupants, lighting, and electrical equipment, The RTS method was applied to account for the thermal storage effect of building materials, thereby providing a more representative estimation of the actual cooling load conditions, The manual calculation results were subsequently validated using DK-BIM Daikin software to evaluate the level of agreement between the analytical and simulation results, The results indicate that the total cooling load of the 3rd Floor of Tower 4 ITS is 677,062,22 Btu/hr, The highest cooling load was found in the auditorium, reaching 216,076,19 Btu/hr, while the classroom cooling loads ranged from 43,957,14 to 44,054,32 Btu/hr, Validation using DK-BIM showed an average error of 1,44%, with 72,73% of the analyzed rooms exhibiting errors below 2%, indicating a strong agreement between the manual calculations and simulation results, Based on the calculated cooling loads, a Daikin Variable Refrigerant Volume (VRV) system using R410A refrigerant was selected, The system employs FXFQ80AV4 Ceiling Mounted Cassette (Round Flow) indoor units for classrooms and FXMQ250PVM Ceiling Mounted Duct indoor units for corridor and auditorium areas, The system is supported by four VRV outdoor units with a total installed cooling capacity of 1,025,874 Btu/hr, which is sufficient to meet the cooling demand of the entire 3rd Floor of Tower 4 ITS, Furthermore, the cooling load density analysis revealed that the highest cooling load density occurred in classrooms, ranging from 717,7 to 742,3 Btu/hr·m⁻², while the lowest value was observed in the auditorium at 297,7 Btu/hr·m⁻² based on manual calculations, The findings indicate that cooling load density is primarily influenced by occupancy density rather than the heat gain generated per occupant, This study demonstrates that the RTS, SHGC, and U-Value methods based on ASHRAE standards can provide accurate cooling load calculations and serve as a reliable basis for designing effective, energy-efficient, and building-appropriate air conditioning systems in educational facilities
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Cooling Load, Radiant Time Series (RTS), Solar Heat Gain Coefficient (SHGC), U-Value, ASHRAE, Air conditioning (AC), Kenyamanan Termal,===================================================== Cooling Load, Radiant Time Series (RTS), Solar Heat Gain Coefficient (SHGC), U-Value, ASHRAE, Air conditioning (AC), Thermal Comfort |
| Subjects: | T Technology > TH Building construction > TH7687.7 Cooling Systems and details |
| Divisions: | Faculty of Vocational > Mechanical Industrial Engineering (D4) |
| Depositing User: | Muhammad Gani Setiawan |
| Date Deposited: | 30 Jul 2026 06:55 |
| Last Modified: | 30 Jul 2026 06:55 |
| URI: | http://repository.its.ac.id/id/eprint/139819 |
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