scholarly journals Design and Development of Hybrid Converter for Marine Applications

2022 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
T. Sasilatha ◽  
D. Lakshmi ◽  
R. Rajasree
Keyword(s):  
Electric Propulsion ◽  
Storage System ◽  
Optimization Technique ◽  
High Gain ◽  
Environmental Aspects ◽  
Passive Components ◽  
Replacement Method ◽  
Marine Applications ◽  
Adequate Power ◽  
Modern Optimization

Recently, there has been an increase in the growth and advancement of electric propulsion in marine electrical drives. A maximum amount of energy is utilized by ships for propulsion drives. To be aware of it and develop an optimized structure to improve the effectiveness of the propulsion system with power consumption is necessary. The proposed paper aims to develop a model and perform functional analysis as per the above understanding and requirements. The factors considered include greenhouse gas emissions, CO2 emissions, environmental aspects, and the availability of non-renewable resources, which leads to the introduction of renewable energy as a replacement method of power generation. For this work, two different renewable sources, such as solar and wind energy, were chosen. The combination of these two resources can manipulate the voltage and satisfy the load in a desirable way. For voltage improvement, a high gain converter with a minimal number of active and passive components is selected. This system adopts a storage system to meet the needs in the future. The inverter switches are controlled by the recommended control algorithm, which can balance and provide adequate power towards the drive by a feedback control loop. The speed of propulsion in the drive is adjusted by the induction motor coupled with the propeller. The analytical study of the proposed system is carried out in MATLAB software. The simulation study revealed the effectiveness of this modern optimization technique.

scholarly journals Energy management strategies for combined heat and electric power micro-grid

2016 ◽  
Vol 20 (4) ◽  
pp. 1091-1103 ◽  
Author(s):  
Marina Barbaric ◽  
Drazen Loncar
Keyword(s):  
Energy Management ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Optimization Technique ◽  
Management Strategies ◽  
Distribution Networks ◽  
Energy Storage System ◽  
Optimization Approach ◽  
Micro Grid ◽  
Additional Rule

The increasing energy production from variable renewable energy sources such as wind and solar has resulted in several challenges related to the system reliability and efficiency. In order to ensure the supply-demand balance under the conditions of higher variability the micro-grid concept of active distribution networks arising as a promising one. However, to achieve all the potential benefits that micro-gird concept offer, it is important to determine optimal operating strategies for micro-grids. The present paper compares three energy management strategies, aimed at ensuring economical micro-grid operation, to find a compromise between the complexity of strategy and its efficiency. The first strategy combines optimization technique and an additional rule while the second strategy is based on the pure optimization approach. The third strategy uses model based predictive control scheme to take into account uncertainties in renewable generation and energy consumption. In order to compare the strategies with respect to cost effectiveness, a residential micro-grid comprising photovoltaic modules, thermal energy storage system, thermal loads, electrical loads as well as combined heat and power plant, is considered.

Discussion Paper on the Use of FPC’s C240 Integrated Compressed Natural Gas (ICNG) Storage Units and TransCanada’s CNG Storage System for the Storage of Natural Gas As a Fuel for Marine Applications

2010 ◽  
Author(s):  
David Lawrence ◽  
Gregory Cano ◽  
Steven Williams
Keyword(s):  
Natural Gas ◽  
Storage System ◽  
Gas Storage ◽  
Design Development ◽  
Discussion Paper ◽  
Compressed Natural Gas ◽  
Review Comment ◽  
Final Design ◽  
Marine Applications ◽  
Marine Vessels

This discussion paper is based on a preliminary design and is not to be construed or interpreted as being a suitable basis for adoption as a final design for natural gas storage facilities or marine vessels. The gas storage concepts were developed as a basis for project budgeting, further design studies such as HAZID/HAZOP/FEMA, and for review/comment by Classification Societies and Regulatory Authorities as a precedent to further design development. The contents, comments and opinions contained herein are proprietary to Floating Pipeline Company Incorporated and TransCanada. Paper published with permission.

scholarly journals Direct and Indirect Environmental Aspects of an Electric Bus Fleet Under Service

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 336 ◽  
Author(s):  
Bogdan Ovidiu Varga ◽  
Florin Mariasiu ◽  
Cristian Daniel Miclea ◽  
Ioan Szabo ◽  
Anamaria Andreea Sirca ◽  
...  
Keyword(s):  
Electric Propulsion ◽  
Urban Transport ◽  
Pollutant Emissions ◽  
Environmental Aspects ◽  
Pollution Levels ◽  
Electric Bus ◽  
High Pollution ◽  
Diesel Buses ◽  
The City ◽  
Harmful Effects

The reduction of pollutant emissions in the field of transportation can be achieved by developing and implementing electric propulsion technologies across a wider range of transportation types. This solution is seen as the only one that can offer, in areas of urban agglomeration, a reduction of the emissions caused by the urban transport to zero, as well as an increase in the degree of the health of the citizens. This paper presents an analysis of the direct and indirect environmental aspects of a fleet of real electric buses under service in the city of Cluj-Napoca, Romania. The solution of using 41 electric buses to replace Euro-3 diesel buses (with high pollution levels) in the city’s transport system eliminates a local amount of 668.45 tons of CO2 and 6.41 tons of NOx—pollutant emissions directly associated with harmful effects on human health—annually.

scholarly journals Metaheuristic Algorithms for Convolution Neural Network

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
L. M. Rasdi Rere ◽  
Mohamad Ivan Fanany ◽  
Aniati Murni Arymurthy
Keyword(s):  
Deep Learning ◽  
Implementation Strategy ◽  
Optimization Problems ◽  
Optimization Technique ◽  
Harmony Search ◽  
Computation Time ◽  
Research Area ◽  
Metaheuristic Methods ◽  
Learning Technique ◽  
Modern Optimization

A typical modern optimization technique is usually either heuristic or metaheuristic. This technique has managed to solve some optimization problems in the research area of science, engineering, and industry. However, implementation strategy of metaheuristic for accuracy improvement on convolution neural networks (CNN), a famous deep learning method, is still rarely investigated. Deep learning relates to a type of machine learning technique, where its aim is to move closer to the goal of artificial intelligence of creating a machine that could successfully perform any intellectual tasks that can be carried out by a human. In this paper, we propose the implementation strategy of three popular metaheuristic approaches, that is, simulated annealing, differential evolution, and harmony search, to optimize CNN. The performances of these metaheuristic methods in optimizing CNN on classifying MNIST and CIFAR dataset were evaluated and compared. Furthermore, the proposed methods are also compared with the original CNN. Although the proposed methods show an increase in the computation time, their accuracy has also been improved (up to 7.14 percent).

scholarly journals Models and Methods for Efficiency Estimation of a Marine Electric Power Grid

2017 ◽  
Author(s):  
Torstein I. Bø ◽  
Eilif Pedersen
Keyword(s):  
Electric Propulsion ◽  
Drive Train ◽  
Modeling Methods ◽  
Industry Standard ◽  
Electric Power Grid ◽  
Low Load ◽  
Efficiency Estimation ◽  
Marine Applications ◽  
The Given ◽  
Load Conditions

Diesel electric propulsion has become industry standard for many marine applications. Typically, a significant part of the operations of vessels with diesel electric propulsion is done with low loads on the motors and generators. However, the efficiency of a drive train is typically only calculated for full load conditions. This underestimates the losses during low load conditions. This article presents modeling methods for the electric drive train, which can be used to estimate the efficiencies, also at low load. The models are established with limited parameter sets, as detailed information about of the components are seldom available. This article compares the estimated efficiency of the generator and motor with the given data from datasheets.

scholarly journals Optimization Technique for High-Gain CMOS Power Amplifier for 5G Applications

2021 ◽  
Vol 11 (24) ◽  
pp. 11691
Author(s):  
Hayeon Jeong ◽  
Huidong Lee ◽  
Bonghyuk Park ◽  
Seunghyun Jang ◽  
Sunwoo Kong ◽  
...  
Keyword(s):  
Power Amplifier ◽  
Optimization Technique ◽  
High Gain ◽  
Common Source ◽  
Power Added Efficiency ◽  
Power Cell ◽  
Measurement Results ◽  
Saturated Output Power ◽  
The Stability ◽  
Parasitic Components

In this study, a differential power amplifier (PA) with a high gain of over 30 dB by configuring a three-stage common source unit amplifier was designed. To ensure the stability of the high-gain differential PA, the analysis to apply the capacitive neutralization method to the differential common source PA was conducted. From the analysis, the required neutralized capacitance was quantitatively calculated from the estimated parasitic components of a power cell used in the PA. To verify the feasibility of the proposed optimization technique, a Ka-band PA was designed with a 65 nm RFCMOS process. The measurement results showed a gain of 30.7 dB. The saturated output power was measured as 16.1 dBm, maximum power-added efficiency (PAE) was 29.7%, and P1dB was 13.1 dBm.

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