A Voyage Planning Tool for Arctic Transit of Cargo Ships

2019 ◽  
Author(s):  
Zhiyuan Li ◽  
Jonas W. Ringsberg ◽  
Francisco Afonso Rita
Keyword(s):  
Fuel Consumption ◽  
Fuel Efficiency ◽  
Open Water ◽  
Decision Support Tool ◽  
Planning Tool ◽  
Arctic Seas ◽  
Support Tool ◽  
Maritime Operations ◽  
Cost Efficient ◽  
Extra Resistance

Abstract The paper presents a decision-support tool for maritime operations in Arctic seas. This tool targets at improving the safety and fuel efficiency of existing and future cargo vessels that are designed to operate in Arctic and in open water conditions. It is achieved by smart voyage planning using meteorological, oceanographic and ice forecasting. A single-objective optimization for minimizing the fuel consumption in various scenarios of Arctic transits is established, with the transit time and the safety as the two major constraints. The tool is implemented in an in-house Matlab code, which is based on Dijkstra’s algorithm, a grid-based approach that aims at finding the most cost-efficient path connecting any chosen nodes in a given grid. Results from case studies along the Northern Sea Route indicate that the tool generates appropriate routes in ice-infested Arctic waters. The fuel consumption accounting for ice-induced extra resistance is optimized and the risk of collision with icebergs has been considered.

scholarly journals Drivers’ adaptive travel behaviors towards green transportation development: a critical review

2016 ◽  
Vol 38 (2) ◽  
pp. 49-70 ◽  
Author(s):  
Arezou Shafaghat ◽  
Ali Keyvanfar ◽  
Nurul Hidayah Muslim
Keyword(s):  
Fuel Consumption ◽  
Decision Support Tool ◽  
Assessment Model ◽  
Second Phase ◽  
Lifestyle Behaviors ◽  
Driver Behaviour ◽  
Support Tool ◽  
Traffic Calming ◽  
Green Transportation ◽  
Travel Behaviors

The transportation professionals integrated the concept Green in various dimensions of transportation, such as, green vehicle, green highway. The current study has established a new dimension to green transportation, which is called Green Driver as whom substantially contributes to less emission and fuel consumption, and higher-safety. The research established the driver’s Green Adaptive Travel Behaviors (GATB), in particular, that is referred to voluntary personal and lifestyle behaviors on less energy consumption and emission. The methodology was designed into two phases. Phase one was to investigate driver’s GATBs through systematic literature review process and content analysis method. The second phase was to verify greenery value impact (GVI) of the finalized list of drivers’ GATBs through an expert input study and Grounded Group Decision Making (GGDM) method. Total twenty six (26) GATB factors have been determined. Amongst, the factor ‘F27- Dangerous overtaking’ has received the highest value (97%) followed with ‘F3- Slow once realizing bike lanes for cyclist crossing’ (91%). In contrast, ‘F4- Realize visual Obstacles to manage the speed’ and ‘F21- Brake with smooth deceleration’ has received the lowest value (77%) among other factors. Two of the initial factors;‘F5-Use traffic calming devices’ (55%), and ‘F24- Change highest possible gear’ (69%) could not reach the 70% saturation; hence, they have been dropped from the list of GATB factors. Indeed, the GATB efforts are not limited to technology and practice; but also can include education and enforcement to driving regulations in order to interconnect driver, technology, environment, and vehicle. The research concluded with an innovative technique used as the decision support tool to evaluate the greenery grade of any individual driver on committing to less emission, less fuel consumption, and higher safety in traveling. As future study, the Green driver behaviour index assessment model will be developed based on this study outputs.

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

2016 ◽  
Vol 231 (2) ◽  
pp. 542-554 ◽  
Author(s):  
Thaddeus C Nwaoha ◽  
Garrick Ombor ◽  
Modestus O Okwu
Keyword(s):  
Fuel Consumption ◽  
Consumption Rate ◽  
Fuzzy Rule ◽  
Decision Support Tool ◽  
Rule Base ◽  
Support Tool ◽  
Rate Level ◽  
Fuel Consumption Rate ◽  
Marine Vessels ◽  
Combined Algorithm

Prediction of fuel consumption rate level of a vessel per voyage posed to be a challenge under uncertainties. In such uncertain conditions, revealing of fuel consumption rate levels of the fleet of vessels is deemed imperative to ensure effective and efficient operations of the vessels per voyage. Therefore, development of uncertainty treatment model is necessary in this research. A combined algorithm that is made up of fuzzy rule base and utility theory methods is incorporated in the investigation of the fuel consumption rate levels of marine vessels. The mechanism of the algorithm is used to capture and combine all the important parameters that determine the fuel consumption rate level of each marine vessel. The workability of the model is demonstrated. The produced results revealed that the combined algorithm can support estimation of the fuel consumption rate levels of marine vessels and show which vessel is better than the other. Based on the results of this article, the management and crew of a marine vessel are equipped with the necessary decision support tool to optimize, implement and manage improvements on the performance characteristics and fuel consumption rate of their marine vessels during voyages.

North Slope Coastal Imagery Initiative: A Cloud-Based Spill Response Tool

2014 ◽  
Vol 48 (5) ◽  
pp. 110-116
Author(s):  
John Harper ◽  
Kalen Morrow
Keyword(s):  
High Resolution ◽  
Chukchi Sea ◽  
Open Water ◽  
The Arctic ◽  
North Slope ◽  
Arctic Seas ◽  
Support Tool ◽  
Incident Command ◽  
The North ◽  
Response Planning

AbstractThe North Slope of Alaska borders on two arctic seas, the Beaufort Sea and Chukchi Sea, with a total shoreline length of approximately 6,000 km. Oil exploration and production facilities are close to the coast, and the risk of spilled oil reaching the coast is increasing. The North Slope coast is a challenging location for spill response as the coastal areas are ice-covered much of the year and subject to variable ice cover during the open-water season. In addition, the shoreline is highly complex and rapidly changing because of melting of permafrost. The North Slope Coastal Imagery Initiative developed an online, decision support tool for spill preparedness and Incident Command decision making. The online tool makes more than 16,000 high-resolution images and 30 hours of high-resolution videography available to Incident Command in the event of a spill. Such high-resolution imagery is extremely useful in providing situational awareness for personnel unfamiliar to the Arctic and for tactical response planning. The resolution of the imagery is much higher than typical shoreline mapping or satellite imagery and, as such, eliminates ambiguity in interpretation when developing the most appropriate response strategies. The project provides a consensus building tool for spill response.

COSSARC: Concept Selection for Shipping in the Arctic

2013 ◽  
Author(s):  
Janne Valkonen ◽  
Grunde Løvoll ◽  
Magnus Strandmyr Eide ◽  
Erik Løkken Walter
Keyword(s):  
Climate Models ◽  
Open Water ◽  
Decision Support Tool ◽  
The Arctic ◽  
Concept Selection ◽  
Support Tool ◽  
Ice Conditions ◽  
Selection For ◽  
High Degree ◽  
Ship Performance

Increased global demand for oil, gas and minerals combined with melting sea ice opens new opportunities for shipping companies, both in the form of new Arctic shipping routes and extended use of existing ones. It can be challenging for a ship owner to make informed decisions and plan for Arctic operations, as it requires complex techno-economical assessments of information that has a high degree of uncertainty. To aid ship-owners in making decisions for operation in the Arctic, DNV has developed a prototype decision support tool to assess strategic options: COSSARC — Concept Selection for Shipping in the Arctic. The tool integrates detailed models for ship performance both in ice and in open water with port and route alternatives to simulate travel time, fuel consumption, emissions and overall economics. The tool makes use of stochastic models for wave and ice conditions, but specific historical data or model data from climate models can also be taken as input. In this paper, the COSSARC tool is described, including a case study demonstrating the capabilities of the tool.

scholarly journals A Simulation-Based Decision Support Tool for Arctic Transit Transport

2015 ◽  
Author(s):  
Bernhard Schartmüller ◽  
Aleksandar-Saša Milaković ◽  
Martin Bergström ◽  
Sören Ehlers
Keyword(s):  
Decision Support ◽  
Discrete Event Simulation ◽  
Scale Effects ◽  
Discrete Event ◽  
Open Water ◽  
Decision Support Tool ◽  
Comparative Case Study ◽  
Support Tool ◽  
Event Simulation ◽  
Simulation Based

The Russian Federation attempts to foster the Northern Sea Route (NSR) as a transport alternative to the current Suez Canal Route (SCR). Therefore, this paper seeks to identify under which conditions the use of the NSR is economically feasible. To evaluate this in a realistic way it is essential to take the significant uncertainty of input variables like ice data predictions into account. For that reason a simulation-based decision-support (SBDS)-tool based on a discrete-event simulation model is developed. The SBDS-tool requires as input vessel dimensions, available power and information about the route(s) including waypoints and ice data. It calculates then the general performance of the vessel in both open water and ice. Next it generates day-specific ice conditions according to a probability distribution between lower and upper limit obtained from satellite measurements. Based on this and the previously calculated vessels’ performance the SBDS-tool calculates day-specific transit times and fuel consumptions for examined time period. This is then used as input for a discrete-event simulation to assess the number of roundtrips, transported cargo and fuel consumption for joint use of different routes, dependent on the predefined operational days along the routes. The obtained results are then used to calculate the cost per transported cargo unit between two ports and to assess the sensitivity in order to determine if an economically advantageous and robust transport system can be achieved. In addition, possible economy of scale effects using larger vessels can be evaluated. In order to show the applicability of the developed model a comparative case study for three container vessels operating between Rotterdam (NL) and Yokohama (JP) is carried out.

A protocol for sampling pastures in hill country

2016 ◽  
Vol 78 ◽  
pp. 203-209 ◽  
Author(s):  
K.J. Hutchinson ◽  
D.R. Scobie ◽  
J. Beautrais ◽  
A.D. Mackay ◽  
G.M. Rennie ◽  
...  
Keyword(s):  
Random Sampling ◽  
Geographical Information Systems ◽  
Field Measurements ◽  
Decision Support Tool ◽  
Accurate Estimate ◽  
Ease Of Use ◽  
Geographical Information ◽  
Support Tool ◽  
Topographic Complexity ◽  
Hill Country

To develop a protocol to guide pasture sampling for estimation of paddock pasture mass in hill country, a range of pasture sampling strategies, including random sampling, transects and stratification based on slope and aspect, were evaluated using simulations in a Geographical Information Systems computer environment. The accuracy and efficiency of each strategy was tested by sampling data obtained from intensive field measurements across several farms, regions and seasons. The number of measurements required to obtain an accurate estimate was related to the overall pasture mass and the topographic complexity of a paddock, with more variable paddocks requiring more samples. Random sampling from average slopes provided the best balance between simplicity and reliability. A draft protocol was developed from the simulations, in the form of a decision support tool, where visual determination of the topographic complexity of the paddock, along with the required accuracy, were used to guide the number of measurements recommended. The protocol was field tested and evaluated by groups of users for efficacy and ease of use. This sampling protocol will offer farmers, consultants and researchers an efficient, reliable and simple way to determine pasture mass in New Zealand hill country settings. Keywords: hill country, feed budgeting, protocol pasture mass, slope

Sign in / Sign up

Export Citation Format

Share Document