RANCANG BANGUN TRAINER AIR CONDITIONER DAN TROUBELSHOOTING EVAPORATOR PADA SISTEM PENDINGIN AC
Design And Construction Of An Air Conditioning Trainer And Evaporator Troubleshooting System
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Keywords:
Troubleshooting, Evaporator, Air Conditioners
Abstract
Air Conditioning (AC) dapat mengalami berbagai gangguan yang memengaruhi fungsi dan performanya. kemampuan melakukan troubleshooting atau pemecahan masalah terhadap komponen utama sistem pendingin menjadi hal penting. Penelitian ini bertujuan untuk merancang dan membangun trainer AC sebagai media pembelajaran yang dapat digunakan untuk melatih dan meningkatkan keterampilan dalam perancangan serta perbaikan sistem pendingin. Trainer AC yang dikembangkan terdiri dari beberapa komponen utama, seperti evaporator, kompresor, dan kondensor. Sistemnya dapat dioperasikan secara manual maupun otomatis sehingga memungkinkan pengguna melakukan berbagai eksperimen dalam mengidentifikasi dan menyelesaikan masalah pada sistem AC. Hasil pengujian menunjukkan bahwa trainer AC mampu berfungsi dengan baik serta dapat mensimulasikan berbagai kondisi yang mungkin terjadi pada sistem pendingin di dunia nyata. Dengan demikian, trainer AC ini dapat menjadi sarana pembelajaran efektif dalam meningkatkan pengetahuan dan keterampilan peserta pelatihan di bidang teknologi pendingin, khususnya dalam hal perancangan dan troubleshooting sistem AC
References
[1] G. Sachdeva, A. Jaiswar, P. Anuradha, and V. Jain, “Comparative performance investigation of a dual evaporator cycle using an ejector with the conventional cycle using a pressure reducing valve,” Int. J. Air-Conditioning Refrig., vol. 31, no. 1, pp. 1–16, Aug. 2023, doi: 10.1007/s44189-023-00036-6.
[2] S. Khatoon and M. N. Karimi, “Thermodynamic analysis of two evaporator vapor compression refrigeration system with low GWP refrigerants in automobiles,” Int. J. Air-Conditioning Refrig. 2023 311, vol. 31, no. 1, pp. 1–17, Jan. 2023, doi: 10.1007/S44189-022-00017-1.
[3] A. Elmouatamid, B. Fricke, J. Sun, and P. W. T. Pong, “Air Conditioning Systems Fault Detection and Diagnosis-Based Sensing and Data-Driven Approaches,” Energies 2023, Vol. 16, Page 4721, vol. 16, no. 12, p. 4721, Jun. 2023, doi: 10.3390/EN16124721.
[4] M. Kumar et al., “Performance evaluation of evaporator coil of a domestic refrigerator under frosting,” Int. J. Low-Carbon Technol., vol. 19, pp. 2746–2754, Jan. 2024, doi: 10.1093/IJLCT/CTAE232.
[5] Y. Song, Q. Ma, T. Zhang, F. Li, and Y. Yu, “Research on Fault Diagnosis Strategy of Air-Conditioning Systems Based on DPCA and Machine Learning,” Process. 2023, Vol. 11, Page 1192, vol. 11, no. 4, p. 1192, Apr. 2023, doi: 10.3390/PR11041192.
[6] B. Hartman, D. Mustofa Kamal, F. Zainuri, P. Studi Rekayasa Teknologi Manufaktur, P. Negeri Jakarta, and J. D. GA Siwabessy, “Optimasi Efisiensi Perawatan Air Conditioning Tipe Split dengan Penerapan Pembersih Filter Otomatis Berbasis Condition-Base Maintenance,” Infotekmesin, vol. 16, no. 1, pp. 99–106, Jan. 2025, doi: 10.35970/INFOTEKMESIN.V16I1.2513.
[7] Y. C. Shih, “Numerical study of heat transfer performance on the air side of evaporator for a domestic refrigerator,” Numer. Heat Transf. Part A Appl., vol. 44, no. 8, pp. 851–870, 2003, doi: 10.1080/716100526.
[8] H. Tuo and P. Hrnjak, “Periodic reverse flow and boiling fluctuations in a microchannel evaporator of an R134a mobile air-conditioning system,” SAE Int. J. Mater. Manuf., vol. 6, no. 3, pp. 540–548, 2013, doi: 10.4271/2013-01-1500.
[9] A. A. Krisna, W. Putra, W. Sutarsa, and N. Suparta, “Modifikasi Air Conditioner (AC) Split Inverter Kapasitas 3/4 PK sebagai Trainer Unit,” Indones. J. Lab., vol. 1, no. 3, pp. 237–245, Feb. 2024, doi: 10.22146/IJL.V1I3.92615.
[10] A. Trihartanto and K. Gunawan, “Pembuatan trainer AC split sebagai media praktikum pada Laboratorium Teknik Pendingin Undiksha,” J. Pendidik. Tek. Mesin Undiksha, vol. 10, no. 1, pp. 20–27, 2022.
[11] F. W. Jurnal Pendidikan Vokasi ; Ningsih, I. A. Darmawan, and M. Fatkhurrokhman, “Development of air conditioner split R32 trainer learning media in cooling and air conditioning engineering courses,” J. Pendidik. Vokasi, vol. 11, no. 2, pp. 213–222, Nov. 2021, doi: 10.21831/JPV.V11I3.43244.
[12] A. Rosato, F. Guarino, S. Sibilio, E. Entchev, M. Masullo, and L. Maffei, “Healthy and Faulty Experimental Performance of a Typical HVAC System under Italian Climatic Conditions: Artificial Neural Network-Based Model and Fault Impact Assessment,” Energies 2021, Vol. 14, Page 5362, vol. 14, no. 17, p. 5362, Aug. 2021, doi: 10.3390/EN14175362.
[13] T. Dang, T. Nguyen, J. T. Teng, J. H. Lu, and C. N. Ba, “Numerical simulation of heat transfer phenomena in a microchannel evaporator for a transcritical CO2 air conditioning system,” Int. J. Air-Conditioning Refrig. 2024 321, vol. 32, no. 1, pp. 1–15, Sep. 2024, doi: 10.1007/S44189-024-00062-Y.
[14] F. Amir et al., “Performance analysis of heat recovery in Heat Pipe Heat Exchanger on room air conditioning systems,” AIMS Energy 2023 4612, vol. 11, no. 4, pp. 612–627, 2023, doi: 10.3934/ENERGY.2023031.
[15] J. Chen, L. Zhang, Y. Li, Y. Shi, X. Gao, and Y. Hu, “A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems,” Renew. Sustain. Energy Rev., vol. 161, Apr. 2022, doi: 10.1016/J.RSER.2022.112395.
[16] A. Rafati et al., “Association of new-onset seizures with SARS-CoV-2 vaccines: a systematic review and meta-analysis of randomized clinical trials,” JAMA Neurol., vol. 81, no. 6, pp. 611–618, 2024.
[17] K. P. Lee, B. H. Wu, and S. L. Peng, “Deep-learning-based fault detection and diagnosis of air-handling units,” Build. Environ., vol. 157, pp. 24–33, Jun. 2019, doi: 10.1016/J.BUILDENV.2019.04.029.
[18] X. Ren, J. Li, F. He, and B. Lucey, “Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests,” Renew. Sustain. energy Rev., vol. 173, p. 113058, 2023.
[19] Y. Hu, D. P. Yuill, A. Ebrahimifakhar, and A. Rooholghodos, “An experimental study of the behavior of a high efficiency residential heat pump in cooling mode with common installation faults imposed,” Appl. Therm. Eng., vol. 184, Sep. 2020, doi: 10.1016/J.APPLTHERMALENG.2020.116116.
[20] M. Niknami, S. Maniee, A. A. Farokhi Rad, S. Mansoori, and M. Yahaghi, “An experimental study on the effect of room setpoint temperature, and evaporator/condenser fouling on performance of a ductless split type air conditioner,” Energy Build., vol. 322, Nov. 2024, doi: 10.1016/J.ENBUILD.2024.114671.
[21] L. Zhang, W. Gou, H. Chen, Y. Li, Y. Xu, and W. Mu, “Experimental studies on performance analysis and cross-equipment parameter comparison of variable refrigerant flow systems under common faults,” J. Build. Eng., vol. 86, p. 108837, Jun. 2024, doi: 10.1016/J.JOBE.2024.108837.
[2] S. Khatoon and M. N. Karimi, “Thermodynamic analysis of two evaporator vapor compression refrigeration system with low GWP refrigerants in automobiles,” Int. J. Air-Conditioning Refrig. 2023 311, vol. 31, no. 1, pp. 1–17, Jan. 2023, doi: 10.1007/S44189-022-00017-1.
[3] A. Elmouatamid, B. Fricke, J. Sun, and P. W. T. Pong, “Air Conditioning Systems Fault Detection and Diagnosis-Based Sensing and Data-Driven Approaches,” Energies 2023, Vol. 16, Page 4721, vol. 16, no. 12, p. 4721, Jun. 2023, doi: 10.3390/EN16124721.
[4] M. Kumar et al., “Performance evaluation of evaporator coil of a domestic refrigerator under frosting,” Int. J. Low-Carbon Technol., vol. 19, pp. 2746–2754, Jan. 2024, doi: 10.1093/IJLCT/CTAE232.
[5] Y. Song, Q. Ma, T. Zhang, F. Li, and Y. Yu, “Research on Fault Diagnosis Strategy of Air-Conditioning Systems Based on DPCA and Machine Learning,” Process. 2023, Vol. 11, Page 1192, vol. 11, no. 4, p. 1192, Apr. 2023, doi: 10.3390/PR11041192.
[6] B. Hartman, D. Mustofa Kamal, F. Zainuri, P. Studi Rekayasa Teknologi Manufaktur, P. Negeri Jakarta, and J. D. GA Siwabessy, “Optimasi Efisiensi Perawatan Air Conditioning Tipe Split dengan Penerapan Pembersih Filter Otomatis Berbasis Condition-Base Maintenance,” Infotekmesin, vol. 16, no. 1, pp. 99–106, Jan. 2025, doi: 10.35970/INFOTEKMESIN.V16I1.2513.
[7] Y. C. Shih, “Numerical study of heat transfer performance on the air side of evaporator for a domestic refrigerator,” Numer. Heat Transf. Part A Appl., vol. 44, no. 8, pp. 851–870, 2003, doi: 10.1080/716100526.
[8] H. Tuo and P. Hrnjak, “Periodic reverse flow and boiling fluctuations in a microchannel evaporator of an R134a mobile air-conditioning system,” SAE Int. J. Mater. Manuf., vol. 6, no. 3, pp. 540–548, 2013, doi: 10.4271/2013-01-1500.
[9] A. A. Krisna, W. Putra, W. Sutarsa, and N. Suparta, “Modifikasi Air Conditioner (AC) Split Inverter Kapasitas 3/4 PK sebagai Trainer Unit,” Indones. J. Lab., vol. 1, no. 3, pp. 237–245, Feb. 2024, doi: 10.22146/IJL.V1I3.92615.
[10] A. Trihartanto and K. Gunawan, “Pembuatan trainer AC split sebagai media praktikum pada Laboratorium Teknik Pendingin Undiksha,” J. Pendidik. Tek. Mesin Undiksha, vol. 10, no. 1, pp. 20–27, 2022.
[11] F. W. Jurnal Pendidikan Vokasi ; Ningsih, I. A. Darmawan, and M. Fatkhurrokhman, “Development of air conditioner split R32 trainer learning media in cooling and air conditioning engineering courses,” J. Pendidik. Vokasi, vol. 11, no. 2, pp. 213–222, Nov. 2021, doi: 10.21831/JPV.V11I3.43244.
[12] A. Rosato, F. Guarino, S. Sibilio, E. Entchev, M. Masullo, and L. Maffei, “Healthy and Faulty Experimental Performance of a Typical HVAC System under Italian Climatic Conditions: Artificial Neural Network-Based Model and Fault Impact Assessment,” Energies 2021, Vol. 14, Page 5362, vol. 14, no. 17, p. 5362, Aug. 2021, doi: 10.3390/EN14175362.
[13] T. Dang, T. Nguyen, J. T. Teng, J. H. Lu, and C. N. Ba, “Numerical simulation of heat transfer phenomena in a microchannel evaporator for a transcritical CO2 air conditioning system,” Int. J. Air-Conditioning Refrig. 2024 321, vol. 32, no. 1, pp. 1–15, Sep. 2024, doi: 10.1007/S44189-024-00062-Y.
[14] F. Amir et al., “Performance analysis of heat recovery in Heat Pipe Heat Exchanger on room air conditioning systems,” AIMS Energy 2023 4612, vol. 11, no. 4, pp. 612–627, 2023, doi: 10.3934/ENERGY.2023031.
[15] J. Chen, L. Zhang, Y. Li, Y. Shi, X. Gao, and Y. Hu, “A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems,” Renew. Sustain. Energy Rev., vol. 161, Apr. 2022, doi: 10.1016/J.RSER.2022.112395.
[16] A. Rafati et al., “Association of new-onset seizures with SARS-CoV-2 vaccines: a systematic review and meta-analysis of randomized clinical trials,” JAMA Neurol., vol. 81, no. 6, pp. 611–618, 2024.
[17] K. P. Lee, B. H. Wu, and S. L. Peng, “Deep-learning-based fault detection and diagnosis of air-handling units,” Build. Environ., vol. 157, pp. 24–33, Jun. 2019, doi: 10.1016/J.BUILDENV.2019.04.029.
[18] X. Ren, J. Li, F. He, and B. Lucey, “Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests,” Renew. Sustain. energy Rev., vol. 173, p. 113058, 2023.
[19] Y. Hu, D. P. Yuill, A. Ebrahimifakhar, and A. Rooholghodos, “An experimental study of the behavior of a high efficiency residential heat pump in cooling mode with common installation faults imposed,” Appl. Therm. Eng., vol. 184, Sep. 2020, doi: 10.1016/J.APPLTHERMALENG.2020.116116.
[20] M. Niknami, S. Maniee, A. A. Farokhi Rad, S. Mansoori, and M. Yahaghi, “An experimental study on the effect of room setpoint temperature, and evaporator/condenser fouling on performance of a ductless split type air conditioner,” Energy Build., vol. 322, Nov. 2024, doi: 10.1016/J.ENBUILD.2024.114671.
[21] L. Zhang, W. Gou, H. Chen, Y. Li, Y. Xu, and W. Mu, “Experimental studies on performance analysis and cross-equipment parameter comparison of variable refrigerant flow systems under common faults,” J. Build. Eng., vol. 86, p. 108837, Jun. 2024, doi: 10.1016/J.JOBE.2024.108837.
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2025-11-10
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