scholarly journals MODEL ESTIMASI KONSUMSI BAHAN BAKAR KAPAL IKAN HUHATE DAN RAWAI TUNA

2017 ◽  
Vol 23 (2) ◽  
pp. 99
Author(s):  
Suryanto Suryanto ◽  
Wudianto Wudianto

Huhate dan rawai tuna merupakan alat tangkap utama untuk menangkap ikan tuna di perairan Indonesia. Hasil tangkapannya harus bersaing dalam perdagangan global dimana biaya bahan bakar merupakan faktor produksi yang dominan. Namun kebijakan Pemerintah terkait subsidi bahan bakar minyak terlalu sering berubah karena keterbatasan kemampuan keuangan Pemerintah. Disisi lain peraturan subsidi bahan bakar kapal perikanan yang berlaku kurang mencerminkan kondisi nyata armada perikanan Nasional. Oleh karena itu, perkiraan konsumsi bahan bakar yang diperlukan harus dilakukan secara cermat. Penelitian ini bertujuan untuk mengembangkan model estimasi konsumsi BBM mesin induk dan mesin bantu, khususnya untuk armada huhate dan rawai tuna. Uji model Kleppesto, Digernes dan Hollenbach digunakan untuk mengestimasi daya mesin induk armada huhate dan rawai tuna berdasarkan data SIPI (Surat Ijin Penangkapan Ikan) dan pengukuran kecepatan kapal dilapangan. Hasil penelitian menunjukan bahwa model Kleppesto mendapatkan hasil lebih akurat. Selanjutnya model ini dipakai untuk memperkirakan faktor konsumsi BBM mesin induk dan mesin bantu (Cbbm) dengan 2 skenario efisiensi quasi propulsive optimis dan pesimis. Hasil penelitian menunjukan, dengan kedua skenario tersebut, Cbbm armada huhate dan rawai tuna didapatkan nilai 0,121-0,160 dan 0,136-0,180 (kg/HP.jam). Hal ini menjelaskan bahwa untuk mendapatkan faktor konsumsi BBM kapal ikan perlu memperhatikan jenis alat tangkap ikan yang digunakan. Pole and line and long line are main fishing gear for catching tuna in Indonesian seas. Their catches must compete in global trade where as fuel cost is a dominant production factor. However the Government’s policy on fuel subsidies has changed too often due to the limited financial capacity of the Government. In addition, the present regulation of fuel subsidy for fishing vessels does not reflect the real condition of the national fishing fleet. Thus, the estimation of the required fuel consumption must be done carefully. This paper aims to develop fuel consumption estimation model for pole and liner and tuna longliner. Based on the data of fishing licences and in situ vessel speeds measurements; Kleppesto, Digernes and Hollenbach models were used to estimate the required engine power of pole and liner and tuna longliner samples. The study indicates that Kleppesto model is more accurate compared to the other two. Using the scenario of optimistic and pessimistic quasi propulsive efficiencies, then the models were used to estimate the fuel oil consumption factor for main and auxiliary engines (Cbbm) of the fleets. The research shows, Cbbm of pole and liner and tuna longliner are 0,121-0,160 dan 0,136-0,180 (kg/HP.jam)  respectively. The result showed that fuel oil consumption factor of fishing vessel depends on fishing gear used.

2020 ◽  
Vol 1 (1) ◽  
pp. 6-12
Author(s):  
Bella Puspa Octaviania ◽  
Supriyadi ◽  
Ambran Hartono

A lack of method to find out the fairness limit of fuel consumption in mining operations enables statistical approach with two-tail test be applied to observe the fairness limit of actual fuel oil consumption compared to the manual handbook of its equipment. Fuel consumption according to the manual handbook for EXCA LIEBHERR 9350 excavator is 207.23 liters/hour and EXCA HITACHI 2500 is 191.51 liters/hour, while CATERPILLAR 777D Dump Truck is 36-53 liters/hour consider as low, 53-73, 8 liters/hour medium, and 73.8-96.5 liters/hour as high. This statistical approach has been carried out after fulfilling the concept of mechanized earth-moving. As a result, the differences in fuel consumption of LIEBHERR 9350 and HITACHI 2500 are 3.72% and 3.26%, which are still in range of a reasonable fuel consumption limit, while CAT 777D operating on LIEBHERR 9350 and CAT 777D operating on HITACHI 2500, each shows a difference in fuel consumption. The differences are 29.65%, meaning that it has exceeded the reasonable limits of fuel consumption and 7.15%, meaning that it is still in range of a reasonable fuel consumption limit.


2006 ◽  
Vol 12 (1) ◽  
pp. 31 ◽  
Author(s):  
Catherine Bell ◽  
Peter Shaughnessy ◽  
Margie Morrice ◽  
Bob Stanley

Observers from the Australian Fisheries Management Authority worked on randomly chosen Japanese long-line vessels in the Australian Fishing Zone (AFZ) between 1980 and 1997. Observer reports (n = 451) were inspected for interactions or sightings of marine mammals. An operational interaction was defined as an activity or behaviour that involved direct contact between a marine mammal and fishing gear, bait, target fish or bycatch, or indications that the marine mammal was feeding. A sighting was defined as the recording of marine mammals that passed the vessel without changing course and/or did not appear to interact with the vessel or its gear. Observers witnessed 23 interactions and made another 44 sightings of marine mammals. A further 24 interactions and sightings were relayed by crew members. Killer whales were reported most frequently: most incidences of fish being damaged, taken or frightened away were attributed to them. Eleven marine mammals were caught: two died, seven were released, and the fate of two others was not recorded. Between 1991 and 1996, when observer coverage was 11.5% overall in the AFZ, the incidence of interactions was 1.71 per million hooks set. The estimated number of interactions in that seven-year period was 157 in the AFZ. Since 1997, the long-line fishery has been conducted by Australian vessels, primarily off the east coast of mainland Australia in warm-temperate waters. A higher proportion of interactions can be expected with killer whales and short-finned pilot whales in these waters, and fewer with seals.


2014 ◽  
Vol 156 (B2) ◽  
Author(s):  
A Bishop ◽  
C K H Chin ◽  
G Thomas

This paper investigated the fuel consumption of fishing vessels operating within the southern rock-lobster fishery and the south-eastern shark and scalefish fishery in Tasmanian waters. This was undertaken by sending a questionnaire to operators surveying different vessels and estimating the vessels’ efficiency. The estimated yearly efficiency was checked using a one sided t-test and a 95% confidence interval. Using this efficiency the fuel consumption for the 2011 calendar year for southern rock lobster and SESSF long-line vessels was estimated to be between 1.12 to 1.6 ML and between 0.70 to 0.80 ML respectively. To reduce this fuel consumption, different engineering solutions such as removal of bilge keels, service speed reduction and addition of bulbous bow were investigated, and it was found that vessels could reduce their fuel consumption by 5 to 20%.


Author(s):  
Michel Rejani Miyazaki ◽  
Asgeir Johan Sørensen

In this paper, load sharing curves are generated for marine systems with multiple gensets, where the goal is to reduce both gas emissions and fuel consumption. Initially, the average emissions and fuel consumption for each engine are calculated based on the specific emission and Specific Fuel Oil Consumption (SFOC) curves of each generator set (genset). An optimal nonlinear load sharing subject to gas emission and fuel consumption minimization is found for each engine. One result is that identical gensets should not have the same droop curve on the optimum condition, since it would lead to equal load sharing among them and a suboptimal configuration. Cases with two identical engines, two different engines, and multiple different engines were studied. The results show that by modifying the usually linear droop curve of engines, it is possible to reduce the fuel consumption and the gas emission, and it is also possible to fine tune the solution such that the fuel consumption or gas emissions are reduced.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Achmad Rifqi In'Amullah ◽  
Nasrul Ilminnafik

The high level of fuel oil consumption in Indonesia caused by increases number of vehicles. Fuel oil consumption has switched into gas fuel as one of the secure alternative fuels and obtained more little gas emissions if compared with fuel oil. LPG (Liquified Petroleum Gas) is one of the alternative fuel was environmentally friendly. This research is purposed for compared performance of four-step engine with premium fuel and LPG fuel with a variety of additional electromagnetic field 600, 800, and 1000 total of copper wire windings. Using LPG fuel can increase torque generated by engine, but the result of engine power to be lower. Based on research data 800 copper wire windings can increase the number of torque and generated power compared to LPG fuel standard. LPG fuel can save fuel consumption compared to premium fuel. The most optimum decrease in fuel consumption is generated by using 1000 copper wire windings. Using LPG fuel can also reduce CO, CO2, and HC emissions levels. The best CO, CO2, and HC emissions levels are obtained from 1000 copper wire windings.Keywords: torque, power, fuel consumption, emissions, and LPG.


2021 ◽  
Vol 29 (1) ◽  
pp. 63-81
Author(s):  
Muhammad Nur ◽  
M. Hajir Susanto

The crew of fishing vessels is human beings, the absolute owners of human rights that have been universally recognized. To anticipate and overcome many human rights violations in the Indonesian seas, the Government, through the Ministry of Marine Affairs and Fisheries issued a Regulation of the Minister of Marine Affairs and Fisheries Number 35 of 2015 concerning Fisheries Human Rights Systems and Certification. This research further describes how the provisions of the fisheries' human rights certification and analyzes their impact on protecting human rights for fishing vessel crews in Indonesia. The author uses a normative juridical research method by examining library materials or other secondary materials. The data collection method used is a literature study. The tools used are documents in the form of primary, secondary, and non-legal legal materials. The data obtained were analyzed qualitatively and then presented descriptively. This study found that there are various forms of human rights violations against fishing boat crews. Ministry of Marine Affairs and Fisheries then enforces regulation to prevent human rights violations by business actors against fishing vessel crews. There are several weaknesses in regulations and implementations, namely weaknesses in wage system arrangements, limited regulatory targets, the involvement of workers and employers' representatives in the fisheries human rights team that is not clear, weaknesses of the coordinating system for fisheries human rights teams with supervisors employment, weaknesses of fisheries human rights assessment institutions, weaknesses of socialization for employers and workers. The author suggests that it is necessary to strengthen the coordination and cooperation system between ministries in implementing Fisheries Human Rights Regulations. It also needs to improve communication and dissemination of policies and regulations to stakeholders.


2014 ◽  
Vol 493 ◽  
pp. 388-394 ◽  
Author(s):  
Eddy S. Koenhardono ◽  
Eko Budi Djatmiko ◽  
Adi Soeprijanto ◽  
Mohammad I. Irawan

In recent years efforts on reducing fuel consumption has become the greatest issue related to energy crisis and global warming. The reduction of fuel consumption can be obtained, if the ship propulsion could be operated in its best performance level. Generally this is done by an appropriate analysis of engine propeller matching (EPM). In this study an EPM based on neural-network method, or NN-EPM, is established to predict the best performance of main engines, leading at minimum fuel oil consumption. A trimaran patrol ship is selected as a case study. This patrol ship is equipped with two 2720 kW main engines each connected to a controllable pitch propeller (CPP) through a reduction gear. The input parameters are ship speedVand service margin SM, with the corresponding output parameters comprise of engine speednE, engine break horse powerPB, propeller pitchP/D, and the fuel consumptionFC. An NN-EPM 2-20-15-4 configuration has been constructed out of 100 training data and then validated by 30 testing data. The maximum relative error between results from NN-EPM and EPM analysis is 2.1%, that is in term of the fuel consumption. For other parameters the errors are well below 1.0%. These facts indicate that the use of NN-EPM to predict the main engines's performance for trimaran patrol ship is satisfactory.


2021 ◽  
pp. 377-388
Author(s):  
Jose A. Fernandes ◽  
Zigor Uriondo ◽  
Igor Granado ◽  
Iñaki Quincoces

AbstractThis chapter demonstrates the potential of tuna fishing fleets to reduce their fuel oil consumption. In the “Oceanic tuna fisheries, immediate operational choices” pilot, the data monitoring system on vessels  periodically upload data to the server for shore analysis. The data analytics employs fuel oil consumption equations and propulsion engine fault detection models. The fuel consumption equations are being used to develop immediate operational decision models. The fault detection models are used to plan  maintenance operations and to prevent unexpected engine malfunctions. The data-driven planning software allows probabilistic forecasting of tuna biomass distribution and analysing changes in fishing strategies leading to fuel consumption reduction. These changes in fishing strategies can be summarized as a transition from hunting to harvesting. Vessels do not  search for fish, but instread  take less risks and fish, where it is more likely that the fish can be found and is easier to capture. Buoy data are  increasingly used to improve stock assessments and have the potential to allow better monitoring and planning of fish quotas fulfilment.


Pomorstvo ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 297-307
Author(s):  
Josip Dujmović ◽  
Dean Bernečić

A common way of measuring heavy fuel oil consumption on board a vessel is to use volumetric fuel flow meters installed at fuel systems inlets for each of the major fuel consumers. At each stage of the fuel processing cycle, certain mass fuel losses or deviations and calculation errors occur that are not counted accurately into fuel consumption figures. The goal of this paper is to identify those fuel mass losses and measuring/calculating errors and perform their quantitative numerical analysis based on actual data. Fuel mass losses defined as deviations identified during the fuel preparation process are evaporation of volatile organic compounds, water drainage, fuel separation, and leakages while errors identified are flow meter accuracy and volumetric/mass flow conversion accuracy. By utilizing statistical analysis of obtained data from engine logbook extracts from three different ships numerical models were generated for each fuel mass loss point. Measuring errors and volumetric/mass conversion errors are numerically analyzed based on actual equipment and models used onboard example vessels. By computational analysis of the obtained models, approximate percentage losses and errors are presented as a fraction of fuel quantity on board or as a fraction of fuel consumed. Those losses and errors present between 0,001% and 5% of fuel stock or fuel consumption figures for each identified loss/error point. This paper presents a contribution for more accurate heavy fuel oil consumption calculation and consequently accurate declaration of remaining fuel stock onboard. It also presents a base for possible further research on the possible influence of fuel grade, fuel water content on the accuracy of consumption calculation.


2021 ◽  
Vol 4 (1) ◽  
pp. 154-160
Author(s):  
Fitry Primadona ◽  
Iqbal Tiar Rizaldi

Energy Fuel Oil (BBM) is one of the most needed by the community. Its use as a vehicle transportation fuel makes the level of fuel consumption high. Pertalite as one type of fuel PT.Pertamina with Octane 90 dominates fuel consumption, this is because the quality of the fuel is cleaner than premium and the selling price is cheaper than Pertamax. However, the government is discussing the elimination of BBM below Octane 91 starting in 2022, namely Premium and Pertalite. The elimination strategy is a simplification of product variants and complies with the Regulation of the Minister of Forestry and Environment (KLHK) Number P.20/Menlhk/Setjen/Kum.1/3/2017 which regulates the issue of quality standards for new types of motor vehicle exhaust emissions for motorized vehicles four or more wheels. The purpose of this study was to examine the impact of the elimination of Pertalite fuel on the profitability of PT.Pertamina in 2022. The method of this research was descriptive qualitative using a literature review. The results show that the elimination of Pertalite will create high inflation and will suppress the profitability of PT.Pertamina. Inflation will have a positive impact on Pertamina's profitability although it is not significant. This happens because consumers are forced to buy products or goods that are sold because part of the basic needs will still be purchased even though the price rises.  Keywords: BBM, Pertalite, Profitability, Pertamina


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