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PERANCANGAN SPBKLU SEPEDA MOTOR LISTRIK DAN PEMILIHAN LOKASI PEMASANGAN DI BALI SELATAN N. W. Sindi; D. A. S. Santiari; I. A. D. Giriantari; W. G. Ariastina; I W. Sukerayasa; I N. S. Kumara; I N. Setiawan
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p22

Abstract

The limited availability of fossil fuel reserves and the fact that their formation takes millions of years have driven the accelerated adoption of electric vehicles as a strategic step to reduce carbon emissions. Bali, as one of the leading regions in the clean energy transition, requires adequate infrastructure support, particularly charging stations as the main facilities for electric vehicles, whose development must take into account proper location selection and design. This study focuses on the design and location selection of battery swapping stations for electric motorcycles (SPBKLU) in South Bali, including three-dimensional designs and electrical layouts, as well as location determination using the Analytical Hierarchy Process (AHP) method by evaluating potential sites. The results of this study are one optimal location for SPBKLU installation, accompanied by a three-dimensional design suited to the site’s characteristics and the SPBKLU’s electrical layout. In the future, it is expected to serve as a study and reference for the development of electric vehicle infrastructure in Bali, accelerating public adaptation to this technology.
PERANCANGAN SPKLU SEPEDA MOTOR LISTRIK DAN PEMILIHAN LOKASI PEMASANGAN DI BALI SELATAN N. M. G. A. Krisnayani; I N. S. Kumara; I N. Setiawan; W. G Ariastina; I W. Sukerayasa; I. A. D. Giriantari; D. A. S. Santiari
Jurnal SPEKTRUM Vol. 12 No. 4 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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Abstract

Indonesia is currently in a transition toward clean energy. Therefore, accelerating the adoption of Electric Vehicles (EVs) as a replacement for fossil-fueled vehicles has become a strategic step that is being actively promoted. To support this, the availability of adequate infrastructure is a key factor, with charging stations serving as the main infrastructure for electric vehicles. For optimal operation, the development of charging stations requires proper location selection and design. This study focuses on the design and location selection of Public Electric Vehicle Charging Stations (SPKLU) intended for electric motorcycles in the South Bali region. The design features a three-dimensional model of the charging station, along with its corresponding electrical plan. Meanwhile, location selection is carried out using the Analytical Hierarchy Process (AHP) method by evaluating potential sites. The outcome of this study is the identification of the best location for installing the SPKLU, accompanied by design suited to the site’s characteristics and the SPKLU’s electrical design. It is expected that this work can serve as a study and reference for further development to accelerate the adoption of electric vehicles in Bali.
PERANCANGAN DIRECT CHARGING SEPEDA MOTOR LISTRIK DAN PEMILIHAN LOKASI PEMASANGAN DI BALI SELATAN I N. A. P. Putra; I W. Sukerayasa; W. G Ariastina; I N. S. Kumara; I N. Setiawan; I. A. D. Giriantari; D. A. S. Santiari
Jurnal SPEKTRUM Vol. 12 No. 4 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bali is one of the regions in Indonesia at the forefront of the transition toward clean energy. One of the key steps to achieving this goal is the shift to electric vehicles (EVs). Therefore, the design of electric vehicle charging stations is a crucial factor in ensuring a smooth transition. Charging stations must be strategically located to provide easy access for users, and their planning must comply with existing regulations. One type of charging station is the Public Electric Vehicle Charging Station (SPKLU). However, most SPKLUs are focused on electric cars, whereas the use of electric motorcycles is far more widespread. For this reason, this study focuses on the design of a direct charging system for electric motorcycles, which can be connected directly to the vehicles. The design process includes both 3D modeling and the electrical layout. The selection of a suitable location will be carried out using the Analytic Hierarchy Process (AHP) to determine the optimal site in the South Bali area
Investment Cost Analysis of Renewable Energy Plant Development in Bali Province I K. S. T. Lilayoga; W. G. Ariastina; D. A. S. Santiari; I. A. D. Giriantari; I N. Setiawan; I W. Sukerayasa; I N. S. Kumara
Journal of Electrical, Electronics and Informatics Vol. 9 No. 1 (2025): JEEI (June 2025)
Publisher : Institute for Research and Community Services Udayana University

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Abstract

Bali Province is one of the areas that has abundant renewable energy potential. Through increasing the role of renewable energy in the national energy mix which is a government program, which aims to reduce the use of non-renewable energy and open community participation in utilizing renewable energy in Bali Province. To overcome these problems, an analysis of the investment costs of developing renewable energy plants in Bali Province in 3 scenario modeling was carried out. In this scenario modeling is carried out to determine the investment cost of developing renewable energy plants in Bali Province in the 2024 - 2045 time span. The results of this study show that renewable energy investment costs in the optimistic scenario require investment costs of 264,12 Million USD in 2024 increasing to 2.078,35 Million USD in 2045 with total investment costs during the modeling period of 46.477,10 Million USD. The moderate scenario requires investment costs of 264,12 Million USD in 2024 increasing to 1.186,30 Million USD in 2045 with total investment costs during the modeling period of 27.362,52 Million USD. The pessimistic scenario requires investment costs of 264,12 Million USD in 2024 increasing to 986,80 Million USD in 2045 with total investment costs for the modeling period of 20.817,04 Million USD.