Analisis Pengendalian Kebutuhan Material Reparasi Sistem Flexible Ducting pada Ruang Akomodasi Kapal MT Musi
DOI:
https://doi.org/10.59061/jentik.v4i1.1514Keywords:
Flexible Ducting, HVAC Repair, Material Requirement, Ship Accommodation, VentilationAbstract
This study analyzes material requirement control for the repair of insulated aluminum flexible ducting in the accommodation spaces of MT Musi. The objectives are to determine the required duct size and length, compare the planned requirement with actual field utilization, and formulate a controlled procurement approach for ship HVAC repair. A case study approach was employed by integrating damage inspection, general arrangement drawings, repair lists, room-dimension measurements, heat-load calculations using the Air Handling Unit Calculation method, duct-diameter selection, and verification of the actual material used. Heat loads were determined based on transmission, solar radiation through windows, lighting, equipment, occupants, and humidity control. The predominant forms of damage included joint leakage, deformation, and duct constriction caused by service age and the ship’s operating environment. The selected material was an 8-inch flexible duct, corresponding to an airflow requirement range of approximately 200–225 mm and the specifications stated in the repair list. The initial planned length across four decks was 34 m. After applying a 10% allowance, the requirement increased to 37.4 m and was rounded up to 38 m. Measurements of the removed ducting indicated an actual requirement of 36 m, resulting in a difference of 2 m or 5.56%. The integration of engineering calculations, route tracing, and field verification produced a more controlled procurement estimate while reducing the risks of material shortages and excessive waste.
References
Barone, G., Buonomano, A., Del Papa, G., Giuzio, G. F., Palombo, A., & Russo, G. (2025). Towards sustainable ships: Advancing energy efficiency of HVAC systems onboard through digital twin. Energy, 317, 134435. https://doi.org/10.1016/j.energy.2025.134435
Buonomano, A., Del Papa, G., Francesco Giuzio, G., Maka, R., & Palombo, A. (2023). Advancing sustainability in the maritime sector: energy design and optimization of large ships through information modelling and dynamic simulation. Applied Thermal Engineering, 235, 121359. https://doi.org/10.1016/j.applthermaleng.2023.121359
Cheung, H. Y. W., Kumar, P., Hama, S., Emygdio, A. P. M., Wei, Y., Anagnostopoulos, L., … Wang, Z. (2025). Monitoring of indoor air quality at a large sailing cruise ship to assess ventilation performance and disease transmission risk. Science of The Total Environment, 962, 178286. https://doi.org/10.1016/j.scitotenv.2024.178286
Dai, H. K., Huang, W., Fu, L., Lin, C.-H., Wei, D., Dong, Z., … Chen, C. (2021). Investigation of pressure drop in flexible ventilation ducts under different compression ratios and bending angles. Building Simulation, 14(4), 1251–1261. https://doi.org/10.1007/s12273-020-0737-8
Gao, R., Guo, W., Yang, C., Wang, M., Zhang, S., Zhou, H., & Li, A. (2021). Truncation method for calculating the resistance of ventilation air-conditioning duct systems under nonfully developed flow boundary conditions. Building Simulation, 14(4), 1237–1249. https://doi.org/10.1007/s12273-020-0734-y
Kumar, P., Hama, S., Cheung, H. Y. W., Hadjichristodoulou, C., Mouchtouri, V. A., Anagnostopoulos, L., … Siilin, N. (2025). Airborne pathogen monitoring and dispersion modelling on passenger ships: A review. Science of The Total Environment, 980, 179571. https://doi.org/10.1016/j.scitotenv.2025.179571
Li, D., Zeng, J., Bai, Y., Zhang, X., Gu, H., Lu, N., … Wang, K. (2025). Optimization of Thermal Environment in Cruise Ship Atriums Using CFD Simulation and Air Distribution Strategies. Energies, 18(21), 5772. https://doi.org/10.3390/en18215772
Liu, C., Su, Y., & Zhang, D. (2023). Optimal Control Strategy for Ship Cabin’s Active Chilled Beam System Using Improved Multi-Objective Salp Swarm Algorithm. Journal of Marine Science and Engineering, 11(7), 1396. https://doi.org/10.3390/jmse11071396
Liu, H., Zhan, L., Lin, X., & Gong, Z. (2024). Study of comprehensive comfort evaluation based on fuzzy method in the ship’s cabins. Thermal Science and Engineering Progress, 53, 102738. https://doi.org/10.1016/j.tsep.2024.102738
Menéndez, J., Fernández-Oro, J. M., Merlé, N., Galdo, M., Álvarez, L., López, C., & Bernardo-Sánchez, A. (2023). Auxiliary ventilation systems in mining and tunnelling: Air leakage prediction and system design to optimize the energy efficiency and operation costs. Tunnelling and Underground Space Technology, 140, 105298. https://doi.org/10.1016/j.tust.2023.105298
Mihai, V., & Rusu, L. (2023). CFD Analysis and Wind Tunnel Experiment for Ventilation Ducts with Structural Elements Inside. Journal of Marine Science and Engineering, 11(2), 371. https://doi.org/10.3390/jmse11020371
Okonkwo, A. N., Suominen, M., Romanoff, J., & Musharraf, M. (2026). Energy consumption optimization of ship ventilation system using hybrid Extreme gradient boosting and chimp Algorithm. Energy, 346, 140332. https://doi.org/10.1016/j.energy.2026.140332
Tanadecha, P., & Khaothong, K. (2025a). Analysis of the alternative air ductwork by Numerical airflow behavior combined with the New Economic index and standard. Energy and Built Environment, 6(5), 941–969. https://doi.org/10.1016/j.enbenv.2024.04.004
Tanadecha, P., & Khaothong, K. (2025b). Thermoeconomic analysis of duct works for air-conditioned building in Thailand. Energy and Built Environment, 6(1), 80–95. https://doi.org/10.1016/j.enbenv.2023.09.002
Tawackolian, K., & Kriegel, M. (2022). Turbulence model performance for ventilation components pressure losses. Building Simulation, 15(3), 389–399. https://doi.org/10.1007/s12273-021-0803-x
Wang, Y., Gao, R., Liu, M., Li, A., Tian, Y., & Jing, R. (2025). A method for demand controlled ventilation based on a pressure loss model under conditions of non-fully developed flow. Building and Environment, 270, 112521. https://doi.org/10.1016/j.buildenv.2025.112521
Wu, B., Cai, W., & Chen, H. (2021). A model-based multi-objective optimization of energy consumption and thermal comfort for active chilled beam systems. Applied Energy, 287, 116531. https://doi.org/10.1016/j.apenergy.2021.116531
Xie, D., & Li, K. (2022). Comprehensive Evaluation of Thermal Comfort in Ship Cabins: A Case Study of Ships in Yangtze River Basin, China. Buildings, 12(10), 1766. https://doi.org/10.3390/buildings12101766
ZHAO, X., & SHINODA, T. (2024). Development of Ventilation System for Ship Accommodation Space Considering the Thermal Comfort Index. The Journal of Japan Institute of Navigation, 150(0), 56–65. https://doi.org/10.9749/jin.150.56
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.






