ENVIRONMENTAL RISK ASSESSMENT OF COAL LOADING IN LUBUK TUTUNG KALIMANTAN TIMUR COAL TERMINAL

Pemerintah Indonesia telah berkomitmen untuk membangun mega project power plant pada 2015 – 2019 dengan tujuan menyediakan 35.000 Megawatts (MW) untuk Indonesia. Banyak power plant yang akan dibangun sepanjang wilayah Indonesia. Maka dari itu, sangat penting bagi Indonesia untuk mempunyai ketersediaan batubara untuk menyuplai power plant. Pelabuhan memainkan peranan penting pada ketersediaan batubara. Kapal – kapal yang mengangkut batubara akan melakukan proses pemuatan dan pembongkaran di pelabuhan. Karena jumlah dari batubara yang berpindah dalam sehari cukup besar, potensi bahaya yang timbul dari pemuatan batubara akan semakin besar. Maka dari itu, penting untuk menganalisa bahaya di sekitar pelabuhan ketika melakukan proses pemuatan dan pembongkaran. Analisa risiko lingkungan mencakup seberapa besar kemungkinan kecelakaan tubrukan, kandas, toxic release, api dan tumpahan yang dapat menyebabkan kerusakan. Tahapan Analisa risiko lingkungan meliputi hazard survey, analisa kemungkinan penyebab bahaya yang terjadi di fasilitas, kemudian analisa frekuensi menggunakan metoda FTA (fault tree analysis), dan melakukan analisa simulasi konsekuensi dengan vertical sediment distributions graphic. Setelah itu dilakukan, akan didapatkan hasil dari analisa risiko. Tingkat penilaian risiko pada risk acceptance matrix berdasarkan pada matrix yang telah diberikan dari KPC Risk Rank. Penyebab utama kejadian disebabkan oleh human error, lingkungan yang tidak kondusif dan kegagalan peralatan. Berdasarkan analisa frekuensi, tidak ada kecelakaan yang dianggap tingkat frekuensi tinggi. Tingkat konsekuensi bervariasi, dari yang rendah sampai tinggi. Berdasarkan analisa risiko, ada satu kecelakaan yang dianggap risiko tinggi, yakni tubrukan tongkang dengan bulk carrier. Maka dari itu, penting untuk melakukan mitigasi. Mitigasi berdasarkan strategi mitigasi DNV (Det Norske Veritas). ========================================================= ================================== Indonesian government has committed to build mega project power plant in 2015 – 2019 to provide 35.000 Megawatts (MW) for Indonesia. Many power plants would be built across Indonesia area. Some of power plants is coal – fuel power plant. Therefore, it is really necessary for Indonesia to have enough coal stock to supply power plants. Port plays a key role to maintain coal stock. Ships that carrying coal would perform loading and unloading process in port. Because the volume of coal that moved in a day is quite large, the potential of the danger incurred in the loading and process will getting bigger. Therefore, it is important to assess hazard around port when ship perform loading and unloading process. Environmental risk assessment covering how big the possibility of collision, grounding, toxic release, fire and spilling accident that can cause casualties and environmental damage. The process of environmental risk assessment consisting of identification hazard by using hazard survey method, analysis possible causes of danger that would happen in facilities, then frequency analysis by using FTA (Fault Tree Analysis) method, and do a consequence of analysis simulations with vertical suspended – sediment distributions graphic. After it is done, will obtained the results of the risk assessment. Risk assessment level in the risk acceptance matrix based on the framework provided from KPC Risk Rank. The accidents mainly caused by human error, rough environment and equipments failure. Based on the frequency analysis, there are no accidents considered as high frequency level. Based on the consequence analysis, it occurred varied results. The level of concequence are varied from low risk to high risk. Based on the risk analysis, there is one accident considered as high risk, the accident that considered as high risk is collision of barge with bulk carrier. Therefore, it is necessary to do the mitigation. The mitigation based on DNV (Det Norske Veritas) mitigation strategies

DeSyRe: on-Demand System Reliability

The DeSyRe project builds on-demand adaptive and reliable Systems-on-Chips (SoCs). As fabrication technology scales down, chips are becoming less reliable, thereby incurring increased power and performance costs for fault tolerance. To make matters worse, power density is becoming a significant limiting factor in SoC design, in general. In the face of such changes in the technological landscape, current solutions for fault tolerance are expected to introduce excessive overheads in future systems. Moreover, attempting to design and manufacture a totally defect and fault-free system, would impact heavily, even prohibitively, the design, manufacturing, and testing costs, as well as the system performance and power consumption. In this context, DeSyRe delivers a new generation of systems that are reliable by design at well-balanced power, performance, and design costs. In our attempt to reduce the overheads of fault-tolerance, only a small fraction of the chip is built to be fault-free. This fault-free part is then employed to manage the remaining fault-prone resources of the SoC. The DeSyRe framework is applied to two medical systems with high safety requirements (measured using the IEC 61508 functional safety standard) and tight power and performance constraints

Automated Mixed Traffic Vehicle (AMTV) technology and safety study

Technology and safety related to the implementation of an Automated Mixed Traffic Vehicle (AMTV) system are discussed. System concepts and technology status were reviewed and areas where further development is needed are identified. Failure and hazard modes were also analyzed and methods for prevention were suggested. The results presented are intended as a guide for further efforts in AMTV system design and technology development for both near term and long term applications. The AMTV systems discussed include a low speed system, and a hybrid system consisting of low speed sections and high speed sections operating in a semi-guideway. The safety analysis identified hazards that may arise in a properly functioning AMTV system, as well as hardware failure modes. Safety related failure modes were emphasized. A risk assessment was performed in order to create a priority order and significant hazards and failure modes were summarized. Corrective measures were proposed for each hazard

Bloodhound: Searching Out Malicious Input in Network Flows for Automatic Repair Validation

Many current systems security research efforts focus on mechanisms for Intrusion Prevention and Self-Healing Software. Unfortunately, such systems find it difficult to gain traction in many deployment scenarios. For self-healing techniques to be realistically employed, system owners and administrators must have enough confidence in the quality of a generated fix that they are willing to allow its automatic deployment. In order to increase the level of confidence in these systems, the efficacy of a 'fix' must be tested and validated after it has been automatically developed, but before it is actually deployed. Due to the nature of attacks, such verification must proceed automatically. We call this problem Automatic Repair Validation (ARV). As a way to illustrate the difficulties faced by ARV, we propose the design of a system, Bloodhound, that tracks and stores malicious network flows for later replay in the validation phase for self-healing softwar

Bloodhound: Searching Out Malicious Input in Network Flows for Automatic Repair Validation

Many current systems security research efforts focus on mechanisms for Intrusion Prevention and Self-Healing Software. Unfortunately, such systems find it difficult to gain traction in many deployment scenarios. For self-healing techniques to be realistically employed, system owners and administrators must have enough confidence in the quality of a generated fix that they are willing to allow its automatic deployment. In order to increase the level of confidence in these systems, the efficacy of a 'fix' must be tested and validated after it has been automatically developed, but before it is actually deployed. Due to the nature of attacks, such verification must proceed automatically. We call this problem Automatic Repair Validation (ARV). As a way to illustrate the difficulties faced by ARV, we propose the design of a system, Bloodhound, that tracks and stores malicious network flows for later replay in the validation phase for self-healing softwar

Technology transfer-transportation

Problems in the public transportation industry and refining methods for decreasing the time gap between the development and the marketing of new technology are considered. Eight NASA innovations are either being adapted for use on highways, railways, or rapid transit, or are already entering the marketplace. Chronologies for three of these programs are provided

Twitter data mining for the diagnosis of leaks in drinking water distribution networks

This article presents a methodology for using data from social networks, specifically from Twitter, to diagnose leaks in drinking water distribution networks. The methodology involves the collection of tweets from citizens reporting leaks, the extraction of information from the tweets, and the processing of such information to run the diagnosis. To demonstrate the viability of this methodology, 358 Twitter leak reports were collected and analyzed in Mexico City from 1 May to 31 December 2022. From these reports, leak density and probability were calculated, which are metrics that can be used to develop forecasting algorithms, identify root causes, and program repairs. The calculated metrics were compared with those calculated through telephone reports provided by SACMEX, the entity that manages water in Mexico City. Results show that metrics obtained from Twitter and phone reports were highly comparable, indicating the usefulness and reliability of social media data for diagnosing leaks

Technology transfer: Transportation

The application of NASA derived technology in solving problems related to highways, railroads, and other rapid systems is described. Additional areas/are identified where space technology may be utilized to meet requirements related to waterways, law enforcement agencies, and the trucking and recreational vehicle industries