DECISION SUPPORT SYSTEM FOR POWER GENERATION MANAGEMENT FOR AN 110000+ GRT CRUISE SHIP

2021 ◽  
Vol 158 (A3) ◽  
Author(s):  
P Gualeni ◽  
A Boveri ◽  
F Silvestro ◽  
A Margarita
Keyword(s):  
Power Generation ◽  
Distribution System ◽  
Operating Efficiency ◽  
Cruise Ship ◽  
The Real ◽  
Electric Distribution System ◽  
Cruise Ships ◽  
Definition Of ◽  
Exhaust Gas Emissions ◽  
Generation Management

The aim of this work is to provide a methodology for the power generation optimization on large cruise ships in order to improve their operating efficiency, fuel saving and, consequently, to reduce exhaust gas emissions. The electrical load analysis is compared to the machinery reports of actual data in order to investigate if the estimated required power is appropriately close to the real power demand. Relevance is given to the average load of the diesel-generators, which expresses an indication of how the generators work. The model of the ship electric distribution system represents one of the main objectives of this work along with the power system simulations. These were developed through the definition of load profiles, both by the onboard recordings and by machinery reports data. Therefore, the same cruise profile is analyzed under different scenarios, the real and the optimized one, in order to highlight the critical state of the system and any possible margin for improvement.

scholarly journals Multiresolution Network Temporal and Spatial Scheduling Model of Scenic Spot

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Peng Ge ◽  
Zhixue Liao ◽  
Chang Liu ◽  
Peiyu Ren ◽  
Zhaoxia Guo
Keyword(s):  
Real Time ◽  
Distribution System ◽  
Low Carbon ◽  
The Real ◽  
Scheduling Model ◽  
Scenic Spot ◽  
Full Capacity ◽  
Develop Economy ◽  
Temporal And Spatial ◽  
Demand And Capacity

Tourism is one of pillar industries of the world economy. Low-carbon tourism will be the mainstream direction of the scenic spots' development, and theωpath of low-carbon tourism development is to develop economy and protect environment simultaneously. However, as the tourists' quantity is increasing, the loads of scenic spots are out of control. And the instantaneous overload in some spots caused the image phenomenon of full capacity of the whole scenic spot. Therefore, realizing the real-time schedule becomes the primary purpose of scenic spot’s management. This paper divides the tourism distribution system into several logically related subsystems and constructs a temporal and spatial multiresolution network scheduling model according to the regularity of scenic spots’ overload phenomenon in time and space. It also defines dynamic distribution probability and equivalent dynamic demand to realize the real-time prediction. We define gravitational function between fields and takes it as the utility of schedule, after resolving the transportation model of each resolution, it achieves hierarchical balance between demand and capacity of the system. The last part of the paper analyzes the time complexity of constructing a multiresolution distribution system.

Compare and Analyze of the Definition and Development of Distributed Generation in China and Abroad

2014 ◽  
Vol 953-954 ◽  
pp. 925-928 ◽  
Author(s):  
Bi Bin Huang
Keyword(s):  
Climate Change ◽  
Power Generation ◽  
Energy Conservation ◽  
Distributed Generation ◽  
Basic Characteristic ◽  
Large Scale ◽  
General Definition ◽  
Development Status ◽  
Incentive Policy ◽  
Definition Of

As the positive and important supplement to large-scale power generation, distributed generation (DG) will become key measure to promote energy conservation and solve the problems of climate change in China. Due to absence of universal authoritative definition of DG, this paper summarizes the basic characteristic of DG based on the definitions in typical countries (or organizations) and carried out general definition of DG considering our national conditions and power grid features. From the views of resource, incentive policy and industry, this paper analyzed the fundamental for DG development and compared the development status in typical countries.

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