Track: Operations Research

Abstract

Electric vehicles existed before conventional vehicles. however, its existence is invincible with conventional vehicles because electric vehicles have limitations in charging. Electric vehicles have to take a long time to charge, that's why their existence is inferior to conventional vehicles. Today environmental issues are a concern throughout the world. Carbon emissions result from many human activities. Energy and transportation producers are the largest sources of carbon emissions. In Indonesia, energy producers are in first place, contributing 43.88% of carbon emissions and second place, namely transportation with a value of 24.64%. The limitation of electric vehicles in Indonesia is the lack of a Battery Swap Station (BSS) ecosystem. The set covering problem method in this study will provide an optimum location for installing a battery swap station by taking into account the capacity constraints of each prospective facility when using a solar power plant as the BSS energy source. The location for selecting BSS candidates is the location where PT X cooperates with landlords with a profit sharing system. The researcher determines 32 (thirty two) BSS candidate points in each sub-city where the landlord has worked with PT X. The set covering problem will be worked on with Excel's Solver. It is found that 22 (twenty two) optimal BSS points must be built with the constraint that the capacity of each facility must exceed the number of requests. The visualization of the location mapping is provided using ArcGIS.Electric vehicles existed before conventional vehicles. however, its existence is invincible with conventional vehicles because electric vehicles have limitations in charging. Electric vehicles have to take a long time to charge, that's why their existence is inferior to conventional vehicles. Today environmental issues are a concern throughout the world. Carbon emissions result from many human activities. Energy and transportation producers are the largest sources of carbon emissions. In Indonesia, energy producers are in first place, contributing 43.88% of carbon emissions and second place, namely transportation with a value of 24.64%. The limitation of electric vehicles in Indonesia is the lack of a Battery Swap Station (BSS) ecosystem. The set covering problem method in this study will provide an optimum location for installing a battery swap station by taking into account the capacity constraints of each prospective facility when using a solar power plant as the BSS energy source. The location for selecting BSS candidates is the location where PT X cooperates with landlords with a profit sharing system. The researcher determines 32 (thirty two) BSS candidate points in each sub-city where the landlord has worked with PT X. The set covering problem will be worked on with Excel's Solver. It is found that 22 (twenty two) optimal BSS points must be built with the constraint that the capacity of each facility must exceed the number of requests. The visualization of the location mapping is provided using ArcGIS.Electric vehicles existed before conventional vehicles. however, its existence is invincible with conventional vehicles because electric vehicles have limitations in charging. Electric vehicles have to take a long time to charge, that's why their existence is inferior to conventional vehicles. Today environmental issues are a concern throughout the world. Carbon emissions result from many human activities. Energy and transportation producers are the largest sources of carbon emissions. In Indonesia, energy producers are in first place, contributing 43.88% of carbon emissions and second place, namely transportation with a value of 24.64%. The limitation of electric vehicles in Indonesia is the lack of a Battery Swap Station (BSS) ecosystem. The set covering problem method in this study will provide an optimum location for installing a battery swap station by taking into account the capacity constraints of each prospective facility when using a solar power plant as the BSS energy source. The location for selecting BSS candidates is the location where PT X cooperates with landlords with a profit sharing system. The researcher determines 32 (thirty two) BSS candidate points in each sub-city where the landlord has worked with PT X. The set covering problem will be worked on with Excel's Solver. It is found that 22 (twenty two) optimal BSS points must be built with the constraint that the capacity of each facility must exceed the number of requests. The visualization of the location mapping is provided using ArcGIS.