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Return On Investment Of An Open Loop Wet Scrubber On A Dry Bulk Carrier Muzhoffar, Dimas Angga Fakhri; Prasetio, Mathias Bimo; Santoso, Muhammad Agung; Nugraha, Muhammad Irfan Septian; Jamil, Muhamad Sabran
Nama Jurnal Akmi Vol 6 No 2 (2024): Jurnal Sitektransmar November 2024
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v6i2.97

Abstract

With the increasing global focus on emission reduction in the maritime industry, this study evaluates the decision to implement an Open Loop Wet Scrubber system on a 50,000 DWT Bulk Carrier. The primary objectives of this research are to assess the role of scrubbers in supporting operational efficiency and compliance with MARPOL Annex VI regulations, to determine the optimal timing for scrubber installation to minimize financial risks before ship retirement and to compare the economic efficiency of using scrubbers with high sulfur fuel oil (HSFO) against using low sulfur fuel oil (LSFO) without scrubbers. Through operational simulations on coastal and ocean-going routes, the analysis identifies potential savings, calculates return on investment (ROI), and determines the break-even point (BEP). The results indicate that the installation of an Open Loop Wet Scrubber offers significant long-term savings, with the payback period varying based on route selection and fuel strategy. This research provides critical insights for shipping companies seeking to enhance their competitiveness by balancing compliance with environmental regulations and operational efficiency.
Fire Safety Assessment of a Typical Sports Hall Building Based on Fire Dynamics and Crowd Movement Models Thareq, Achmad Efrizal; Purnomo, Dwi Marhaendro Jati; Auzani, Ahmad Syihan; Nugroho, Yulianto Sulistyo; Santoso, Muhammad Agung
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 2 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i2.458

Abstract

Fire risk analysis is one of the essential components of building design to ensure the safety of occupants and properties in case of fires. Currently, the Ministry of Public Works and Housing Regulation No. 20/PRT/M/2009 provides guidelines for conducting a fire risk analysis, however, without a clear consideration of fire dynamics in the estimation of the fire risk level. In this work, we investigate the fire safety aspects of a typical sports hall buildings by a fire dynamics deterministic model (Fire Dynamics Simulator (FDS) of the National Institute of Science and Technology, USA) and crowd movement model for occupant evacuation (Pathfinder of Thunderhead Engineering). Systematic investigations were made on the effects of the fire growth category and smoke extraction system on the Available Safe Egress Time (ASET). The results of ASET were then compared to the Required Safe Egress Time (RSET) which is obtained from the evacuation model. Our results suggest that ASET decreases exponentially with fire growth rate, especially from slow to medium growth rate. The fire growth rate significantly affects the acceptable fire risk of ASET longer than RSET. Occupant capacity, fire management systems, and smoke extraction systems play important roles in reducing fire risk. However, as the fire growth rate increases, the effects of smoke extraction in maintaining safe conditions diminish. This study provides recommendations to reduce risks to the occupants in case of fire, contributing to the considerations of the design and management of a typical sports hall building.
Monte Carlo-Based Risk Probability Modeling for Ship Incident Muzhoffar, Dimas Angga Fakhri; Tumenggung, Teddy; Riadi, Achmad; Budiyanto, Muhammad Arif; Santoso, Muhammad Agung
Maritime Park: Journal of Maritime Technology and Society Volume 4, Issue 3, 2025
Publisher : Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/mp.vi.46416

Abstract

The shipping industry, a critical component of global logistics, faces persistent operational risks that threaten safety, environmental integrity, and economic stability. Traditional risk assessments, often reliant on descriptive statistics, fail to capture the probabilistic and multifaceted nature of maritime accidents. This study bridges this gap by developing a robust Monte Carlo simulation framework to quantify incident probabilities for a tanker fleet. Utilizing a comprehensive dataset from a shipping company, including incident reports, tanker characteristics, and root causes, the model iteratively samples operational and technical variables up to 50,000 iterations to project risk distributions and identify critical failure pathways. The results demonstrate that risk is highly contextual and not an intrinsic tanker property. The analysis reveals that mid-sized tankers (20,000–35,000 GT) are most susceptible to technical failures like propulsion and auxiliary machinery breakdowns, aligning with their high risk for asset loss and security breaches. Conversely, larger tankers (> 60,000 GT) exhibit systematically lower risk across most categories, which is attributed to advanced safety systems and stricter protocols. A notable exception is environmental risk, where smaller tankers (≤ 5000 GT) pose the lowest threat due to their limited spillage potential. The simulation achieved convergence at 10,000 iterations for personnel injury and security breach incidents, and 5000 for asset loss and environmental impacts, providing a validated threshold for reliable prediction. This study concludes that the Monte Carlo method effectively translates historical data into actionable insights, enabling proactive, precisely timed mitigations tailored to specific tanker profiles and incident types. The findings offer a paradigm shift from reactive to predictive risk management in maritime operations.