Cooling Load Analysis of a New Building at PMI Bogor Hospital Using the CLTD Method

                2021-05-16
              

Published

                34-45
              

Pages

OPEN

Access

Edwin Syahrial

Fakultas Teknik dan Informatika, Program Studi Teknik Mesin, Universitas Dian Nusantara, Jakarta, Indonesia

Rasyid Hadi Sudono

Fakultas Teknik dan Informatika, Program Studi Teknik Mesin, Universitas Dian Nusantara, Jakarta, Indonesia

Abstract

Purpose: This study aims to design the cooling load for the new building of the PMI Hospital in Bogor using the Cooling Load Temperature Difference (CLTD) method, focusing on optimizing cooling efficiency in line with temperature and humidity standards.

Research Methodology: The study utilizes the CLTD method to calculate the cooling load for the hospital’s new building. It includes assessing the total cooling load, the required air supply, and selecting the VRV (Variable Refrigerant Volume) system for effective cooling. The building’s data was used to calculate indoor and outdoor unit requirements.

Results: The cooling load calculation for floors 1 to 3 of the hospital resulted in a total load of 4,956,985.54 Btu/hr, with a required air supply of 100,690.73 CFM. The selected VRV system specifications for both indoor and outdoor units were aligned with the calculated cooling.

Conclusions: The study provides an effective cooling load calculation for the hospital, ensuring optimal air supply and appropriate VRV system selection. This approach guarantees the building meets its cooling requirements for the given environmental conditions.

Limitations: The study is based on available data and does not account for future changes or real-time environmental variations, which could influence the cooling load. Future research may integrate dynamic data for more accurate predictions.

Contributions: This work contributes a practical method for calculating cooling systems in large buildings, such as hospitals, utilizing the CLTD method and VRV system for optimal performance.

Air Supply CLTD Method Cooling Load HVAC Design VRV System

How to Cite

Syahrial, E., & Sudono, R. H. (2021). Cooling Load Analysis of a New Building at PMI Bogor Hospital Using the CLTD Method. Jurnal Teknika Dan Informatika, 1(1), 34-45. https://doi.org/10.52909/jti.v1i1.9

Endnote/Zotero/Mendeley (RIS) BibTeX

References

Algarni, S., Saleel, C. A., & Mujeebu, M. A. (2018). Air-conditioning condensate recovery and applications – current developments and challenges ahead. Sustainable Cities and Society, 37, 263–274. https://doi.org/10.1016/j.scs.2017.11.032
Asif, A., Zeeshan, M., & Jahanzaib, M. (2018). Indoor temperature, relative humidity and co2 levels assessment in academic buildings with different heating, ventilation and air-conditioning systems. Building and Environment, 133, 83–90. https://doi.org/10.1016/j.buildenv.2018.01.042
Baakeem, S. S., Orfi, J., & Alabdulkarem, A. (2018). Optimization of a multistage vapor-compression refrigeration system for various refrigerants. Applied Thermal Engineering, 136, 84–96. https://doi.org/10.1016/j.applthermaleng.2018.02.071
Bahramnia, P., Hosseini Rostami, S. M., Wang, J., & Kim, G. J. (2019). Modeling and controlling of temperature and humidity in building heating, ventilating, and air conditioning system using model predictive control. Energies, 12(24), 4805. https://doi.org/10.3390/en12244805
Bentrcia, M., Alshatewi, M., & Omar, H. (2017). Developments of vapor-compression systems for vehicle air-conditioning: A review. Advances in Mechanical Engineering, 9(8), 1687814017717186. https://doi.org/10.1177/1687814017717186
Cao, S. J., Yu, C. W., & Luo, X. (2020). Heating, ventilating and air conditioning system and environmental control for wellbeing. Indoor and Built Environment, 29(9), 1191–1194. https://doi.org/10.1177/1420326X20951967
Che, W. W., Tso, C. Y., Sun, L., Ip, D. Y., Lee, H., Chao, C. Y., & Lau, A. K. (2019). Energy consumption, indoor thermal comfort and air quality in a commercial office with retrofitted heating, ventilation and air conditioning (hvac) system. Energy and Buildings, 201, 202–215. https://doi.org/10.1016/j.enbuild.2019.06.029
Elhelw, M. (2016). Analysis of energy management for heating, ventilating and air-conditioning systems. Alexandria Engineering Journal, 55(2), 811–818. https://doi.org/10.1016/j.aej.2016.01.034
Enteria, N., Cuartero-Enteria, O., & Sawachi, T. (2020). Review of the advances and applications of variable refrigerant flow heating, ventilating, and air-conditioning systems for improving indoor thermal comfort and air quality. International Journal of Energy and Environmental Engineering, 11(4), 459–483. https://doi.org/10.1007/s40095-020-00346-0
Fekadu, G., & Subudhi, S. (2018). Renewable energy for liquid desiccants air conditioning system: A review. Renewable and Sustainable Energy Reviews, 93, 364–379. https://doi.org/10.1016/j.rser.2018.05.016
Gong, G., Liu, J., & Mei, X. (2017). Investigation of heat load calculation for air carrying energy radiant air-conditioning system. Energy and Buildings, 138, 193–205. https://doi.org/10.1016/j.enbuild.2016.12.005
Hu, Z., He, W., Ji, J., & Zhang, S. (2017). A review on the application of trombe wall system in buildings. Renewable and Sustainable Energy Reviews, 70, 976–987. https://doi.org/10.1016/j.rser.2016.12.003
Khammayom, N., Maruyama, N., & Chaichana, C. (2020). Simplified model of cooling/heating load prediction for various air-conditioned room types. Energy Reports, 6, 344–351. https://doi.org/10.1016/j.egyr.2019.11.086
Kumanek, B., & Janas, D. (2019). Thermal conductivity of carbon nanotube networks: A review. Journal of Materials Science, 54(10), 7397–7427. https://doi.org/10.1007/s10853-019-03368-0
Li, W., Koo, C., Cha, S. H., Hong, T., & Oh, J. (2018). A novel real-time method for hvac system operation to improve indoor environmental quality in meeting rooms. Building and Environment, 144, 365–385. https://doi.org/10.1016/j.buildenv.2018.08.046
Lim, D. K., Ahn, B. H., & Jeong, J. H. (2018). Method to control an air conditioner by directly measuring the relative humidity of indoor air to improve the comfort and energy efficiency. Applied Energy, 215, 290–299. https://doi.org/10.1016/j.apenergy.2018.02.004
Mahmood, M. H., Sultan, M., & Miyazaki, T. (2019). Significance of temperature and humidity control for agricultural products storage: Overview of conventional and advanced options. International Journal of Food Engineering, 15(10), 20190063. https://doi.org/10.1515/ijfe-2019-0063
McLinden, M. O., Seeton, C. J., & Pearson, A. (2020). New refrigerants and system configurations for vapor-compression refrigeration. Science, 370(6518), 791–796.
Ni, J., & Bai, X. (2017). A review of air conditioning energy performance in data centers. Renewable and Sustainable Energy Reviews, 67, 625–640. https://doi.org/10.1016/j.rser.2016.09.050
Nkwetta, D. N., & Sandercock, J. (2016). A state-of-the-art review of solar air-conditioning systems. Renewable and Sustainable Energy Reviews, 60, 1351–1366. https://doi.org/10.1016/j.rser.2016.03.010
Pryazhnikov, M. I., Minakov, A. V., Rudyak, V. Y., & Guzei, D. V. (2017). Thermal conductivity measurements of nanofluids. International Journal of Heat and Mass Transfer, 104, 1275–1282. https://doi.org/10.1016/j.ijheatmasstransfer.2016.09.080
Rhee, K. N., Olesen, B. W., & Kim, K. W. (2017). Ten questions about radiant heating and cooling systems. Building and Environment, 112, 367–381. https://doi.org/10.1016/j.buildenv.2016.11.030
Saran, S., Gurjar, M., Baronia, A., Sivapurapu, V., Ghosh, P. S., Raju, G. M., & Maurya, I. (2020). Heating, ventilation and air conditioning (hvac) in intensive care unit. Critical Care, 24(1), 194. https://doi.org/10.1186/s13054-020-02907-5
Satrio, P., Mahlia, T. M. I., Giannetti, N., & Saito, K. (2019). Optimization of hvac system energy consumption in a building using artificial neural network and multi-objective genetic algorithm. Sustainable Energy Technologies and Assessments, 35, 48–57. https://doi.org/10.1016/j.seta.2019.06.002
Sekhar, S. C. (2016). Thermal comfort in air-conditioned buildings in hot and humid climates – why are we not getting it right? Indoor Air, 26(1), 138–152. https://doi.org/10.1111/ina.12184
Shajahan, A., Culp, C. H., & Williamson, B. (2019). Effects of indoor environmental parameters related to building heating, ventilation, and air conditioning systems on patients’ medical outcomes: A review of scientific research on hospital buildings. Indoor Air, 29(2), 161–176. https://doi.org/10.1111/ina.12531
Wei, T., Ren, S., & Zhu, Q. (2019). Deep reinforcement learning for joint datacenter and hvac load control in distributed mixed-use buildings. IEEE Transactions on Sustainable Computing, 6(3), 370–384. https://doi.org/10.1109/TSUSC.2019.2910533
Xu, X., Zhong, Z., Deng, S., & Zhang, X. (2018). A review on temperature and humidity control methods focusing on air-conditioning equipment and control algorithms applied in small-to-medium-sized buildings. Energy and Buildings, 162, 163–176. https://doi.org/10.1016/j.enbuild.2017.12.038
Yee, R. P., & Hermes, C. J. (2019). Thermodynamic design of a mesoscale vapor compression cooling device. Applied Thermal Engineering, 147, 509–520. https://doi.org/10.1016/j.applthermaleng.2018.09.073
Zhang, S., Cheng, Y., Fang, Z., Huan, C., & Lin, Z. (2017). Optimization of room air temperature in stratum-ventilated rooms for both thermal comfort and energy saving. Applied Energy, 204, 420–431. https://doi.org/10.1016/j.apenergy.2017.07.064
Zsembinszki, G., de Gracia, A., Moreno, P., Rovira, R., González, M. Á., & Cabeza, L. F. (2017). A novel numerical methodology for modelling simple vapour compression refrigeration system. Applied Thermal Engineering, 115, 188–200. https://doi.org/10.1016/j.applthermaleng.2016.12.059