| Issue |
E3S Web Conf.
Volume 475, 2024
InCASST 2023 - The 1st International Conference on Applied Sciences and Smart Technologies
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 12 | |
| Section | Renewable Energy Technologies and Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202447503008 | |
| Published online | 08 January 2024 | |
Techno-economic analysis of hybrid PV-Battery-diesel system for isolated Dockyard In West Papua
1 Department of Renewable Energy Engineering, Universitas Prasetiya Mulya, 15339 Indonesia
2 PT Cagar Bentara Sakti, 16454 Indonesia
3 PT ATW Solar, 15225 Indonesia
* Corresponding author: author@email.org
An isolated dockyard located in West Papua currently relies on two diesel generators (DGs) with a total capacity of 1,100 kW to fulfil its energy demand. However, these DGs operate at low efficiency, resulting in a high levelized cost of energy (LCOE) of Rp9,064 /kWh and generating 496 metric tons CO2 emissions equivalent per year. On the other hand, the dockyard holds significant solar energy potential. There is opportunity to utilise solar photovoltaic (PV) since its LCOE is also decreasing. This study aims to determine the optimal configuration and sizing of a PV-battery-diesel to minimise LCOE, considering CO2 emissions and a maximum capital expenditure (CAPEX) constraint of Rp 16.4 billion. Four topologies are evaluated: DG, PV-DG, PV-battery, and PV-battery-DG topology. The results highlight the PV-battery-DG topology as the lowest LCOE of Rp3,185 /kWh while adhering to the CAPEX constraint. The PV-battery topology is the most effective in reducing emissions by 100%. Both the PV-battery-DG and PV-battery topologies are less sensitive to fuel price volatility but are more influenced by changes in inflation rates. In contrast, the DG and PV-DG topologies are relatively less responsive to inflation changes but significantly responsive to variations in fuel prices.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.