Analisis Pengukuran dan Verifikasi Kinerja Penghematan Energi Motor Fan Dust Collector Menggunakan VFD dengan Perangkat Lunak RETScreen Expert
DOI:
https://doi.org/10.33379/gtech.v8i3.4511Keywords:
Dust Collector, Energi Dasar, Penghematan Energi, Pengukuran dan Verifikasi, Motor FanAbstract
In the use of energy in industry, the lack of attention to energy use in meeting load requirements is still a common thing to find. One example is the operation of a dust collector fan motor in the steel industry with maximum capacity continuously at varying process loads, so energy efficiency measures need to be taken. The installation of a Variable Frequency Drive (VFD) to adjust the motor rotational speed according to load requirements is a solution to generate energy savings. This research will evaluate the energy performance of the VFD installation implementation by analyzing energy performance through measurement and verification (M&V) using RETScreen Expert software. From the analysis, the average daily energy consumption before the installation of VFDs was 24,686 kWh/day with energy consumption in one year of 5,924,658 kWh/year. After the installation of the VFD, the average daily energy consumption was 18,018 kWh/day with energy consumption in one year of 4,324,240 kWh/year. With the energy baseline equation, the energy savings generated in one year amounted to 954,747 kWh/year.
References
Al-Zboon, K. K., & Forton, O. T. (2019). Indoor Air Quality in Steel Making Industries. Environmental Management and Sustainable Development, 8(1), 147. https://doi.org/10.5296/emsd.v8i1.14315
Alieva, R., & Olimova, N. (2023). Improving the efficiency of dust collectors and modernization of the aspiration system in cotton cleaning plants. IOP Conference Series: Earth and Environmental Science, 1142(1). https://doi.org/10.1088/1755-1315/1142/1/012107
Anisya, L. N., Ashari, M. L., & Dermawan, D. (2014). Pemanfaatan Limbah Padat Debu EAF Pada Perusahaan Peleburan Baja Sebagai Pengganti Semen Pada Campuran Beton. 2581, 367–372.
Backman, J., Kyllönen, V., & Helaakoski, H. (2019). Methods and tools of improving steel manufacturing processes: Current state and future methods. IFAC-PapersOnLine, 52(13), 1174–1179. https://doi.org/10.1016/j.ifacol.2019.11.355
Beaulac, P., Issa, M., Ilinca, A., & Brousseau, J. (2022). Parameters Affecting Dust Collector Efficiency for Pneumatic Conveying: A Review. In Energies (Vol. 15, Issue 3). MDPI. https://doi.org/10.3390/en15030916
Beaulac, P., Issa, M., Ilinca, A., Lepage, R., & Martini, F. (2021). Improving the Energy Efficiency of Cyclone Dust Collectors for Wood Product Factories. Open Journal of Energy Efficiency, 10(03), 97–119. https://doi.org/10.4236/ojee.2021.103007
Bhuiyan, Z. (2020). Design analysis of Dust collection system. Bulk Solids Storage and Handling, January, 1–31.
Budiman, W. N. R. A. (2018). Perecanaan emisi PM 10 pada industri peleburan baja Cilegon - Banten. 1–124.
Desmira. (2020). Analisa Alur Tenaga Listrik Transformator Daya Electrical Arc Furnace (EAF) (Study Kasus: PT. Krakatau Steel). Seminar Nasional Teknologi Informasi, Komunikasi Dan Industri (SNTIKI), 2579–5406.
Efficiency, & Valuation Organization (EVO), (n.d.). (2005). What is Measurement and Verification (M&V). https://evo-world.org/en/%0Am-v/what-is-m-v
Fesharaki, P. J. (2013). Choice of Dust Collectors Based on Energy and Environmental Degradation in Steel Industries. In International Journal of ISSI (Vol. 10, Issue 1).
Ho, C. L., Tang, Y. C., & Chiu, W. C. (2021). The optimal performance of the energy efficiency of a pulse dust collection system towards sustainability. Applied Sciences (Switzerland), 11(22). https://doi.org/10.3390/app112210941
IPMVP Committe. (2002). International Performance Measurement & Verification Protocol.
Jeong, H., & Ra, K. (2022). Investigations of Metal Pollution in Road Dust of Steel Industrial Area and Application of Magnetic Separation. Sustainability (Switzerland), 14(2), 1–12. https://doi.org/10.3390/su14020919
Kemenperin. (2014). Profil industri baja. http://www.kemenperin.go.id/download/7547/Profil-Industri-Baja
Khunte, M. (2018). Process Waste Generation and Utilization in Steel Industry. International Journal of Industrial and Manufacturing Systems Engineering, 3(1), 1. https://doi.org/10.11648/j.ijimse.20180301.11
Li, Y., Feng, H., Wang, J., She, X., Wang, G., Zuo, H., & Xue, Q. (2022). Current status of the technology for utilizing difficult-to-treat dust and sludge produced from the steel industry. Journal of Cleaner Production, 367(March), 132909. https://doi.org/10.1016/j.jclepro.2022.132909
Magzoub, M. I., Ibrahim, M. H., Nasser, M. S., El-Naas, M. H., & Amani, M. (2020). Utilization of steel-making dust in drilling fluids formulations. Processes, 8(5). https://doi.org/10.3390/PR8050538
Mondol, S. S. (2016). A Review of Steelmaking Technologies. International Journal of Science and Research (IJSR), 5(2), 283–286. https://doi.org/10.21275/v5i2.nov161103
Natural Resources Canada, (n.d.). (2005). RETScreen.
Purba, E., Turinno, S., Kamil, B., Besar, B., Konversi, T., Pengkajian, B., Bppt, T., Kawasan, G., Serpong, P., & Selatan, T. (2022). Pengukuran dan Verifikasi Kinerja Energi Gedung Pemerintah (Studi Kasus Gedung di DKI Jakarta). 21(1), 1–10.
Qaisar, I., & Zhao, Q. (2022). Energy baseline prediction for buildings: A review. Results in Control and Optimization, 7(February), 100129. https://doi.org/10.1016/j.rico.2022.100129
Sun, W., Zhou, Y., Lv, J., & Wu, J. (2019). Assessment of multi-air emissions: Case of particulate matter (dust), SO2, NOx and CO2 from iron and steel industry of China. Journal of Cleaner Production, 232, 350–358. https://doi.org/10.1016/j.jclepro.2019.05.400
Swords, B., Coyle, E., & Norton, B. (2008). An enterprise energy-information system. Applied Energy, 85(1), 61–69. https://doi.org/10.1016/j.apenergy.2007.06.009
U.S, & Department of Energy, (n.d.). (2006). Energy Efficiency and Renewable Energy Software Tools. https://www.energy.gov/eere/%0Aamo/software-tools
Utami, Y., Vinsensia, D., & Nissa, A. (2022). Forecasting the Sum of New College Students with Linear Regression Approach. 14(1), 10–15.
Wang, G., & Han, Z. (2019). Investigation of the accuracy of VFD analog output data and the energy performance of different voltage controls in a VFD-motor-belt-fan system. Energy and Buildings, 194, 260–272. https://doi.org/10.1016/j.enbuild.2019.04.008
Wiga Maulana Baihaqi, Melia Dianingrum, K. aswin N. ramadhan. (2019). Regresi linier sederhana untuk memprediksi kunjungan pasien di rumah sakit berdasarkan jenis layanan dan umur pasien. Simetris, 10(2), 671–680.
Wu, B., Li, J., Liu, H., Zhang, Z., Zhou, Y., & Zhao, N. (2012). Energy information integration based on EMS in paper mill. Applied Energy, 93, 488–495. https://doi.org/10.1016/j.apenergy.2011.12.021
Yu, Y. (2018). Research of a New Method for Solving Linear Regression.
Zhong, H., & Xiao, Y. (2022). A structure of movable dust collector on the principle of air amplification. 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022, 730–734. https://doi.org/10.1109/ICAICA54878.2022.9844586
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