Analisis Alternatif Kebijakan Rendah Karbon Dengan Metode Pemodelan Sistem Dinamik Untuk Mendukung Transisi Kendaraan Listrik Di Kota Surabaya

Yang, Vivian (2024) Analisis Alternatif Kebijakan Rendah Karbon Dengan Metode Pemodelan Sistem Dinamik Untuk Mendukung Transisi Kendaraan Listrik Di Kota Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Permasalahan emisi karbon semakin mendesak untuk diselesaikan karena dampaknya yang merugikan, termasuk perubahan iklim global yang mengancam keseimbangan ekosistem bumi dimana salah satu penyebab utama emisi karbon dari sektor transportasi adalah penggunaan kendaraan konvensional dengan bahan bakar fosil. Peralihan ke kendaraan dengan emisi karbon lebih rendah, dalam hal ini kendaraan listrik, dianggap dapat mengurangi emisi karbon secara signifikan. Penelitian ini menggunakan metode pemodelan sistem dinamik yang memungkinkan adanya simulasi skenario kebijakan yang berbeda dan menganalisis dampaknya terhadap emisi karbon akibat aktivitas transportasi dan transisi dari kendaraan konvensional ke kendaraan listrik. Model ini mempertimbangkan berbagai faktor yang saling terkait, seperti pertumbuhan populasi, pola penggunaan kendaraan, infrastruktur pengisian daya, dan insentif pemerintah. Berdasarkan hasil simulasi yang telah dilakukan, skenario ketiga yaitu pengembangan infrastruktur pengisian daya kendaraan listrik merupakan skenario yang memberikan hasil peningkatan jumlah kendaraan listrik dan pengurangan emisi karbon yang paling signifikan dengan jumlah penambahan demand mobil listrik meningkat sebesar 209% dan jumlah penambahan demand motor listrik meningkat sebesar 160% pada tahun ke-15. Selain itu, terdapat pengurangan emisi karbon dari penggunaan kendaraan listrik sebesar 363.961.600 kgCO2 pada tahun ke-15 sehingga alternatif kebijakan pengembangan infrastruktur ini dapat digunakan sebagai bahan pertimbangan penyusunan fokus kebijakan percepatan transisi kendaraan listrik di Kota Surabaya.
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The problem of carbon emissions is increasingly urgent to be resolved because of its detrimental impacts, including global climate change, which threatens the balance of the earth's ecosystem where the main causes of carbon emissions in the transportation sector is the use of conventional vehicles powered by fossil fuels. Switching to vehicles with lower carbon emissions, in this case electric vehicles, is considered to be able to reduce carbon emissions significantly. This research uses a dynamic system modeling method that allows the simulation of different policy scenarios and the analysis of their impact on carbon emissions due to transportation activities and the transition from conventional vehicles to electric vehicles. The model considers multiple interrelated factors, such as population growth, vehicle usage patterns, charging infrastructure, and government incentives. Based on the results of the simulations that have been carried out, the third scenario, namely the development of electric vehicle charging infrastructure, is the scenario that provides the most significant results of increasing the number of electric vehicles and reducing carbon emissions, with the number of additional demands for electric cars increasing by 209% and the number of additional demands for electric motorbikes increasing by 160% in the 15th year. Apart from that, there is a reduction in carbon emissions from the use of electric vehicles of 363.961.600 kgCO2 in the 15th year, so this alternative infrastructure development policy can be used as material for consideration in preparing a policy focus for accelerating the transition to electric vehicles in the city of Surabaya.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Carbon Emission, Electric Vehicle, Policy, System Dynamics, Emisi Karbon, Kebijakan, Kendaraan Listrik, Sistem Dinamik
Subjects:	H Social Sciences > HE Transportation and Communications > HE311.I4 Urban transportation
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Vivian Yang
Date Deposited:	16 Jul 2024 01:26
Last Modified:	16 Jul 2024 01:26
URI:	http://repository.its.ac.id/id/eprint/108340

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