Data-Driven Real-Time Decision Support and its Application to Hybrid Propulsion Systems

2017 ◽  
Author(s):  
Karl-Johan Reite ◽  
Jarle Ladstein ◽  
Joakim Haugen
Keyword(s):  
Mathematical Model ◽  
Decision Support ◽  
Real Time ◽  
Data Driven ◽  
Local Minima ◽  
Propulsion Systems ◽  
Hybrid Propulsion ◽  
Fishing Vessels ◽  
Main Engine ◽  
Fuel Consumption And Emissions

This paper describes a method for providing real time decision support based on measurements rather than optimizing a mathematical model. The proposed method is thus beneficial for systems for which the modelling would be inaccurate, the dynamics and complexity of the system would make it difficult to optimize in real time, or the risk of returning local minima is not acceptable. The proposed method is implemented on four fishing vessels. These vessels are complex and give the skipper many choices related to how the vessel is operated. The developed tool advises the crew on in real time on operational decisions, particularly on the use of various diesel electric and diesel mechanic propulsion modes, including decisions such as the use use of shaft generator, direct coupling between main engine and propeller or not, propeller pitch, etc. This will presumably reduce both fuel consumption and emissions of CO2 and NOX. Some examples of obtainable results from both onshore analyses and the onboard application are presented to demonstrate the methods applicability.

scholarly journals PENINGKATAN KINERJA SISTEM PROPULSI KAPAL PENANGKAP IKAN TRADISIONAL TYPE PURSEINE 30 SD 90 GT MENGGUNAKAN SISTIM PROPULSI HYBRID

2011 ◽  
Vol 16 (2) ◽  
pp. 106
Author(s):  
Mohd Ridwan
Keyword(s):  
Economic Value ◽  
Motor Fuel ◽  
Cost Savings ◽  
Fishing Effort ◽  
Propulsion Systems ◽  
Hybrid Propulsion ◽  
Ship Propulsion ◽  
Fishing Vessels ◽  
Main Engine ◽  
Traditional Fishing

Mohd Ridwan, in this paper explain that traditional fishing vessels built in the shipyard of the people is a cultural heritage which needs to be conserved, and empowered through the application of ship science and technology to build fishing boats for fishermen of all types, shapes and sizes of ships, equipped with fishing technology. Repairs to the feasibility of traditional fishing vessels to sail like stability, ship construction needs to be done. Similarly, his case should be applied to ship propulsion technology that remained operational needs based on size of vessel forms and types of fishing vessels. The design of an appropriate propulsion can provide benefits in the form of operational cost savings by more than 10% through the use of hybrid propulsion systems. Hybrid propulsion system is a mix of main engine (motor fuel or gas fuel MDO) with electric motor and propeller to suit the use of hull form and ship propulsion systems (matching the propeller and engine) is at the core of this concept in this article and next to be research. Besides these traditional ship the product to be supported primarily by imposing government standards for a fishing vessel, for fishermen as users can easily calculate the economic value of investment will they planted in fishing effort at sea. Keywords : Fishing Boat Traditional, Hybrid Propulsion, Main Engine, Propeller, Operatinal Cost.

scholarly journals Fuel Consumption and Emissions of Ocean-Going Cargo Ship with Hybrid Propulsion and Different Fuels over Voyage

2020 ◽  
Vol 8 (8) ◽  
pp. 588 ◽  
Author(s):  
Congbiao Sui ◽  
Peter de Vos ◽  
Douwe Stapersma ◽  
Klaas Visser ◽  
Yu Ding
Keyword(s):  
Electric Power ◽  
Fuel Consumption ◽  
Hybrid Propulsion ◽  
Open Sea ◽  
Propulsion Control ◽  
Hc Emissions ◽  
Main Engine ◽  
Fuel Consumption And Emissions ◽  
Mission Profile ◽  
Port Areas

Hybrid propulsion and using liquefied natural gas (LNG) as the alternative fuel have been applied on automobiles and some small ships, but research investigating the fuel consumption and emissions over the total voyage of ocean-going cargo ships with a hybrid propulsion and different fuels is limited. This paper tries to fill the knowledge gap by investigating the influence of the ship mission profile, propulsion modes and effects of different fuels on the fuel consumption and emissions of the ship over the whole voyage, including transit in open sea and manoeuvring in close-to-port areas. Results show that propulsion control and electric power generation modes have a notable influence on the ship’s fuel consumption and emissions during the voyage. During close-to-port manoeuvres, propelling the ship in power-take-in (PTI) mode and generating the electric power by auxiliary engines rather than the main engine will reduce the local NOx and HC (hydrocarbons) emissions significantly. Sailing the ship on LNG will reduce the fuel consumption, CO2 and NOx emissions notably while producing higher HC emissions than traditional fuels. The hybridisation of the ship propulsion and using LNG together with ship voyage optimisation, considering the ship mission, ship operations and sea conditions, will improve the ship’s fuel consumption and emissions over the whole voyage significantly.

scholarly journals Integrated Incident Decision-Support using Traffic Simulation and Data-Driven Models

2018 ◽  
Vol 2672 (42) ◽  
pp. 247-256
Author(s):  
Tao Wen ◽  
Adriana-Simona Mihăiţă ◽  
Hoang Nguyen ◽  
Chen Cai ◽  
Fang Chen
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Case Studies ◽  
Situation Awareness ◽  
Large Scale ◽  
Traffic Simulation ◽  
Data Driven ◽  
Incident Management ◽  
Management Platform ◽  
Transport Management

This paper introduces the framework of an innovative incident management platform with the main objective of providing decision-support and situation awareness for transport management purposes on a real-time basis. The logic of the platform is to detect and then classify incidents into two types: recurrent and non-recurrent, based on their frequency and characteristics. Under this logic, recurrent incidents trigger the data-driven machine learning module which can predict and analyze the incident impact, in order to facilitate informed decisions for transport management operators. Non-recurrent incidents activate the simulation module, which then evaluates quantitatively the performance of candidate response plans in parallel. The simulation output is used for choosing the most appropriate response plan for incident management. The current platform uses a data processing module to integrate complementary data sets, for the purpose of improving modeling outputs. Two real-world case studies are presented: 1) for recurrent incident management using a data-driven model, and 2) for non-recurrent incident management using traffic simulation with parallel scenario evaluation. The case studies demonstrate the viability of the proposed incident management framework, which provides an integrated approach for real-time incident decision-support on large-scale networks.

Real Time Health Estimation and Automated Fault Accommodation for Propulsion Systems

2007 ◽  
Author(s):  
Liang Tang ◽  
Michael J. Roemer ◽  
Gregory J. Kacprzynski
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Dynamic Models ◽  
Health Management ◽  
Control Strategies ◽  
Fault Classification ◽  
Identification Algorithm ◽  
Propulsion Systems ◽  
Fault Accommodation ◽  
Planning Concepts

This paper presents the development of innovative realtime health estimation and automated fault accommodation techniques for advanced propulsion systems within a Dynamic Decision Support (D2S) framework. The proposed approach uses dynamic models in a real-time computing environment to not only diagnose system degradation and faults, but also to determine “on the fly” how to accommodate for them. The realtime health estimation modules enhance on-board PHM (Prognosis & Health Management) capabilities with a dynamic system identification algorithm that is capable of detecting faults with a continuously updated dynamic model. In addition, a real-time, self-tuning Kalman filter and fault classification algorithm are combined to provide accurate health estimation. Based on the inferred health condition, mission requirements and flight regime information, the automated fault accommodation module automatically makes decisions regarding control reconfiguration and change of control strategies. The presented techniques have been applied to a generic turbofan engine model with simulated engine component faults and degradation and simulation results are presented. To further raise the technological readiness level, select algorithms have been implemented and evaluated on a PC104 embedded platform. The dynamic modeling capabilities, techniques and tools sets will not only improve the reliability of the propulsion systems, but also greatly enhance maintenance decision support and contingency planning concepts.

778-P: The Impact of Self-Management Blood Glucose (SMBG) Real-Time Decision Support on Glycemic Control in Adult with T1D in China

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 778-P
Author(s):  
ZIYU LIU ◽  
CHAOFAN WANG ◽  
XUEYING ZHENG ◽  
SIHUI LUO ◽  
DAIZHI YANG ◽  
...  
Keyword(s):  
Decision Support ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Real Time ◽  
Self Management ◽  
The Impact

Naval Hybrid Power Take-Off and Power Take-In – Lessons Learnt and Future Advances

2018 ◽  
Author(s):  
M Benatmane ◽  
B Salter
Keyword(s):  
Electrical Power ◽  
Maritime Industry ◽  
Propulsion Systems ◽  
Systems Architecture ◽  
Hybrid Propulsion ◽  
Leading Role ◽  
Lessons Learnt ◽  
Marine Industry ◽  
Operational Systems ◽  
Great Pressure

With the ever tightening of budgets and legislation, new vessel builds are facing tough times.  The future maritime industry requires more efficient vessels to minimise ship operational costs with cleaner technologies that meet stringent environment regulations, reduce greenhouse gas emissions, specifically carbon emissions. Emissions reduction continues to be high on the agenda for the marine industry, it is responsible for about 2.5 percent of global greenhouse emissions1 and is under great pressure to reduce its environmental impact. With pressure comes the opportunity to incentivize innovation, developments and implementation of energy efficient measures, both design and operational. Naval propulsion systems are no different from other industries, and the industry is exploring ways to optimise propulsion and electrical power generation systems architecture for better performance and efficiency. Electric technology plays a leading role. The paper will: Provide a brief overview about the hybrid propulsion concept, with key electrical, mechanical qualities and issues. Describe different designs configurations and performances of hybrid propulsion systems from demonstrated and operational systems in the commercial and naval world. Cover the lessons learnt in technologies and controls used on such systems. Examine future architectures including energy storage and explore the benefits and the flexibility these can bringto the hybrid propulsion sphere.

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