Estimasi Emisi Kendaraan Ringan pada Ruas Jalan Perintis Kemerdekaan Kota Makassar

S.N.J. Patunrangi; A.I.N.K.  Kadir; M. Sutrisno

doi:10.22487/renstra.v4i1.458

Authors

S.N.J. Patunrangi Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Jl. Soekarno-Hatta Km 9, Palu 94118, Indonesia
A.I.N.K. Kadir Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Jl. Soekarno-Hatta Km 9, Palu 94118, Indonesia
M. Sutrisno Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Jl. Soekarno-Hatta Km 9, Palu 94118, Indonesia

DOI:

https://doi.org/10.22487/renstra.v4i1.458

Keywords:

light vehicle, emission, moves, ivem, driving cycle

Abstract

Population growth is increasingly demanding economic growth accompanied by the need for transportation as facilities of movement person and goods. The increase of transport it is not balanced with the right policies will cause various problems appertain the increasing number of motorized vehicles that has an impact on the environment, namely increasing air pollution. Exhaust emissions from motorized vehicles originating from fossil fuels make impact the environment. Various studies on transportation models have been developed by many researchers, various transportation models can also estimate emissions from motorized vehicles included MOVES and IVEM. The aim of this study is to analyze whether there are differences between the results of the emission estimation model in the MOVES and IVEM programs. The method used is using a driving cycle, where the vehicle is tracking on the highway using GPS second per second. Tracking is carried out on the Perintis Kemerdekaan road with a starting point of KM 7.75 to the end point of KM 13.12 as well as for the opposite direction. Tracking done at peak hours of 7-10 am, 11-14 noon, and 11-14 afternoon. The results showed that the concentration of Nox emissions was higher in the MOVES model data analysis than the IVEM model, as the CO emission concentration in the morning and evening was higher in the MOVES model and the CO emission concentration during the day was higher in the IVEM model. Statistically with the t test, the result is 0.13 where the result of the CO concentration for the MOVES and IVEM models are the same and for the t test the NOx concentration is 0.008 that the results of the analysis of the IVEM and MOVES models for NOx are not the same.

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References

F.E. Zannikos, “Vehicle Emissions and Driving Cycles: Comparison of the Athens Driving Cycle (ADC) with ECE-15 and European Driving

Cycle (EDC)” Global NEST Journal, vol. 8, no. 3, p. 282, 2018.

I.A. Wardani, Djamaluddin, and H. Bakri, “Analisis Fundamental Sampling Error Terhadap Quality Assurance dan Quality Control, Kab. Luwutimur, Sulawesi Selatan”, Jurnal Geomine, vol. 5 no. 3, p. 124, 2017.

S.A. Aly, Emisi Transportasi, Jakarta: Penerbat Plus, 2015.

M. Dahlan, Model Faktor Emisi Kendaraan Ringan Pada Jaringan Jalan di Kota Makassar, Makassar: Jurursan Teknik Sipil UNHAS, 2016.

R. Hasrul, The Driving Cycle of Light Vehicles on An Urban Road, Makassar: ISID, 2013.

C. Gu, Emission Estimation of Heavy Duty Diesel Vehicles by Developing Texas Specific Drive Cycle with Moves, Texas: Texas A&M University, 2013.

H. Perugu, “Emission Modelling of Light-Duty Vehicles in India using the Revamped VSP-Based MOVES Model: The Case Study of Hyderabad”, Transportation Research Part D: Transport and Environment, vol. 68, p. 150, 2019.

N. Davis, IVE Model Users Manual Version 2.0, California: ISSRC, 2008.

J.L. Jiménez-Palacios, Understanding and Quantifying Motor Vehicle Emissions with Vehicle Specific Power and TILDAS Remote Sensing, Massachusetts: Massachusetts Institute of Technology, 1998.

V.S. Bachtiar, Kajian Hubungan Antara Variasi Kecepatan Kendaraan Dengan Emisi Yang Dikeluarkan pada Kendaraan Bermotor Roda Empat. Padang: Universitas Andalas, 2014.

F.D. Hobbs, Perencanaan dan Teknik Lalu Lintas. Yogyakarta: Gadjah Mada University Press, 1995.

Dirjen Guru dan Tenaga Kependidikan, Memelihara dan Memperbaik Sistem Kontrol Emisi, Jakarta: Kementerian Pendidikan dan Kebudayaan, 2018.

Z. Yao, H. Wei, H. Perugu, H. Liu, and Z. Li, “Sensitivity Analysis of Project Level MOVES Running Emission Rates for Light and Heavy Duty Vehicles”, Journal of Traffic and Transportation Engineering, vol. 1, no. 2, p. 81, 2014.

R. Wanudyajati, Analisis Pengaruh Jarak Tempuh, Periode Servis dan Umur Mesin Terhadap Konsentrasi CO,HC, NOx, dan CO2 Pada Kendaraan Niaga, Semarang: Departemen Teknik Lingkungan Universitas Diponegoro, 2013.

Ismiyati, D. Marlita, and D. Saidah, “Pencemaran Udara Akibat Emisi Gas Buang Kendaraan Bermotor”, Jurnal Manajemen Transportasi & Logistik, vol. 1, no. 3, p. 241, 2014.

N. Nurdjanah, “Emisi Co2 Akibat Kendaraan Bermotor di Kota Denpasar”, Jurnal Penelitian Transportasi Darat, vol. 17, no. 1, p. 1, 2015.

D. Maryanto, S.A. Mulasari, and D. Suryani, “Penurunan Kadar Emisi Gas Buang Karbon Monoksida (Co) Dengan Penambahan Arang Aktif Pada Kendaraan Bermotor di Yogyakarta”, vol. 3, no. 3, p. 198, 2009.

D. Muziansyah, R. Sulistyorini, and S. Sebayang, “Model Emisi Gas Buangan Kendaraan Bermotor Akibat Aktivitas Transportasi”, JRSDD, vol. 3, no. 1, p. 57 , 2015.

A. Mokhtar, “Catalityc Converter Jenis Katalis Plat Tembaga berbentuk Sarang Lebah untuk Mengurangi Emisi Kendaraan Bermotor”, Jurnal Gamma, vol. 10, no. 1, p. 165, 2014.