Research Publications

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Author: search.filters.author.Thangalakshmi, S.Start date: 2020

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Now showing 1 - 10 of 25
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    Energy storage systems : possible impacts on maritime sector /
    (IJIREEICE, 2022-06-27) Thangalakshmi, S.; Ganeshram, V.
    Typical marine vehicles either use diesel or diesel-electric power, which produces toxic pollutants that impact the health of those who live near the harbour. The use of the Battery-operated Electric Propulsion (pure-electric) technology would decrease hazardous pollutants emitted by sea vehicles to zero. Concerns over critical environmental degradation and fossil fuel usage have captivated the automotive market, particularly in maritime vessels, in recent times. The oscillations generated by strong dynamic loads serve as an additional difficulty in ships. To improve stability in shipboard power systems, many generators are now maintained online at far lower than their efficient point. So, to increase the fuel mileage of shipboard power systems, a simple option, a compromise between fuel savings and durability, might be presumed: minimal generator operation with ensured safety. In contrast to previous systems in which propulsion and service loads are powered by distinct generators, propulsion and service loads are linked into a shared network in pure-electric ships to achieve reduced fuel economy with lower emissions. Integration of an energy storage system (ESS) is said to be a useful strategy for increasing the reliability of the shipboard power system. Batteries, ultra-capacitors, flywheels, and fuel cells are examples of energy storage technologies that are now employed in a variety of applications. Marine batteries are particularly developed for sea transport, having larger plates and more resilient structure to handle the stress and hammering that might arise on any powerboat. These batteries have been designed specifically to suit the prospective and future demands of marine transportation applications. This study examines many types of maritime energy storage devices that have been widely employed to enhance the overall efficiency of sea transport.
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    Data analysis and artificial intelligence in the marine sector /
    (REST Publisher, 2024-09-06) Sivasami, K.; Thangalakshmi, S.
    This paper investigates the revolutionary influence of data analysis and artificial intelligence (AI) in the maritime sector, with a focus on cargo handling, ship route planning, and fuel efficiency optimisation. By integrating modern data analytics, cargo operations may be monitored and managed in real-time, which improves safety measures, decreases operational delays, and increases inventory management accuracy. AI-driven algorithms optimise ship route planning by analysing large datasets such as weather patterns and marine traffic, reducing travel time and operational expenses. Furthermore, predictive analytics and machine learning models are used to improve fuel efficiency by optimising engine performance and detecting maintenance issues before they cause costly downtime. This paper conducts a thorough analysis of these technologies' uses, assessing their influence on operational efficiency, cost savings, and environmental sustainability. The paper emphasises the crucial role of data analysis and AI in revolutionising old marine processes, eventually propelling the industry towards a more efficient and ecologically conscious future, through a series of case studies.
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    The use of SVM and AR Methods for allotment of Load Scheduling and Energy Management in SPS /
    (IEEE, 2024-05-14) Thangalakshmi, S.
    Integration of photovoltaic (PV) systems into energy grids to meet the solar energy consumption requires high-performance predictive algorithms Although genetic process (GP) based additive regression (AR) models so provide answers to nonlinear prediction problems For the information Another hybrid model is proposed that combines the SR with a support vector machine (SVM) architecture. The hybrid model seeks to improve accuracy and robustness by using real-world climate data including solar radiation and historical PV power estimates. Using the Elastic Net and Extreme Boosting methods, the hybrid AR-SVM algorithm makes fast feature selection by eliminating redundant inputs. Stability and reliability are ensured by maintaining the hyper-criteria during the training and testing phases. The model reduces the computational complexity and improves accuracy by using fewer layers and neurons. The improved prediction accuracy is demonstrated by simulation results, which show a significant reduction in the absolute error (MAE) and root mean squared error (RMSE) The improvement in the R2 evaluation measure confirms the power of the model has to recognize the underlying pattern emphasis. By preventing the AR from reaching a local minimum with the contribution of the SVM branch, the hybrid model exhibits high robustness to forecast errors, and shows superiority in PV power forecasting applications.
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    Intelligent vessels with robotic gesture control /
    (Springer Nature, 2023-09-28) Sivasami, K.; Thangalakshmi, S.; Kumar, Bandi Rakshith
    The crew’s safety is the most important aspect of any ongoing vessel. Many tasks on the ship are unsafe to the crew, so robots may be used to ensure the crew’s safety without compromising work quality. This lets self-driving ships to be designed lightweight and with fewer crew members, thereby lowering the use of fuel and their ecological impact. It is planned to use a gesture control robot for this purpose, which could control some ship operations from shore with a confined crew on-board a vessel. When working on these gesture control robots, internet of things (IoT) will be used for signal transmission from shore to ship as well as ship to shore. Arduino or Raspberry Pi controllers can be used to capture and transmit a signal, and a sequence of commands can be given ahead of time to overcome serious emergency situations. A signal transmission station and a signal transmitting suit may be required to accomplish this, which propagates a signal to the IoT cloud server, where the signal is further transferred to the centralised receiver plant onboard, which contains a receiver and a decoder and sends signal to the robot comprised of a micro-controller like Raspberry Pi or Arduino, which controls a motor and mimics our gesticulations. This paper presents a detailed study of a multi-degree autonomous ship, as well as an examination of recent literature and the various gesture control mechanisms with numerous applications.
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    Nodes performance improvement uasn by using biological inspired algorithm /
    (IEEE, 2023-06-01) Sivasami, K.; Thangalakshmi, S.
    Underwater Acoustic Sensor Network (UASN) routing is difficult for several reasons. First, the UASN's energy consumption rises because the distance between nodes changes as it moves with the water current. The gathered scientific data packets are sent from the acoustic network to a receiving station on land. Second, there are difficulties with the underwater acoustic network, such as longer propagation delays and lower capacity because of danger. The biggest hurdle is inefficient data packet transfer between the UASN node and the onshore sink node. Finding a method that uses less energy is just the first step in reaching maximum efficiency. The underwater routing protocol has to be resilient in the face of connection failure brought on by extreme weather or power outages. The Modified Buffalo Optimization Algorithm is a novel optimization technique inspired by nature. The issues listed above may be avoided by using the Modified Buffalo optimization Algorithm that has been presented in this study. It was implemented in the NS2 simulator to evaluate the program's effectiveness and through its paces against the Chimp optimization method. In terms of throughput, packet delivery ratio, and power efficiency, the simulated results shows that the MBOA algorithm out performs COA Algorithm.
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    Direct torque controlled induction motor drive for electric vehicles application /
    (IEEE, 2023-06-01) Thangalakshmi, S.
    Manufacturers are now very interested in the motorization control of commercial Electric Vehicles (EVs). This paper describes an Induction Motor (IM) control methodology used in EV applications. Motor drive control is critical in EVs, and IM-based drives are better suited for EVs. For IM drives, there are essentially vector and scalar control techniques. Low performance is a disadvantage of the scalar control approach, but Direct Torque Control (DTC) is an excellent approach for IM speed control by effectively controlling the torque and flux. The alternating current (AC) is taken as a source and connected to a rectifier circuit. However, the functioning of the Voltage Source Inverter (VSI) with variable switching frequency might be determined by the availability of hysteresis controls for torque and flux. The DTC-controlled IM drive is developed in MATLAB/ Simulink tool and the performance of the motor is evaluated by the obtained results. The motor’s torque and speed response are examined.
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    Climate change over south indian coast due to aerosol and air pollution /
    (IARJSET, 2022-06-16) Thangalakshmi, S.; Sivasami, K.
    The two most serious dangers to nearly 60 percent of the world's population living in Asian monsoon zones are the growing severity of droughts/floods and decreasing air quality from increased aerosols. These simultaneous challenges have driven a huge amount of study on the effects of aerosols in influencing Asian monsoon weather and climate during the last decade. An aerosol is a colloid of small solid particles or liquid droplets suspended in air or another gas. The excess volume of aerosol in a certain place will have an impact on the health of living organisms as well as the regional climate. The Asian monsoon area is a major source of aerosol emissions from both man - made and natural sources. Aerosol loading patterns are extensively controlled by diverse meteorological and climatic regimens, which in turn are modified by aerosol impacts. Shipping emissions have garnered attention due to their harmful impact on regional climate and air quality at ports and along coasts across the world. As a result, recognising the aerosol in a certain place is critical. CO2, NOX, and SOX emissions from air pollution cause cloudiness and accelerate climate effect 'Radiative Forcing' (RF). Positive RF causes heat, while negative RF causes cooling. These also have an indirect influence on weather due to the Cloud Condensation Nuclei (CCN) ability of clouds, which has a significant impact of gases and particles. An increase in Sulphur may result in a decrease in Negative RF. Several techniques are applied to assess the range of aerosols, such as LIDAR, photometers, particle analysing methods, and so on; in this case, we utilise a particulate analyser to determine the amount of aerosol. To find out, we maintained the particle counter and analyser on the ship's top deck and examined the aerosol concentration over the atmosphere of the south Indian coast.
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    Ship recycling : the need of a life cycle approach /
    (IEEE, 2022-02-21) Chockalingam, Gopikrishna; Sivasami, K.; Thangalakshmi, S.
    Having identified the potential hazard during the Ship recycling process, the Hongkong Convention mandates the inventory of hazardous materials for Ships above 500 GT. It also mandates the Ship recycling facility to have a Ship Recycling Plan based on the inventory of hazardous material. The Hongkong convention although addresses most of the issues in the ship recycling industry in the beaching method of ship recycling, it is silent over the issues pertaining to the downstream waste management. India has ratified the Hong Kong convention on 29th November 2019, has enacted the Ship Recycling Act, 2019 in line with the requirements of the Hong Kong convention. This paper analyses the key issues of concern in the ship recycling industry especially which employs the beaching method of recycling and the dire need of a Life cycle assessment approach in ship recycling, the process improvement of hazardous waste handling in the Ship recycling industry to prevent the accident occurrences, reduce the health issues to the workers in the ship recycling industry in addition to the pollution prevention aspects in the adjacent coastal areas.
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    Challenges prevailing in photovoltaic electricity in india: a broad perspective /
    (Springer Nature, 2021-10-06) Thangalakshmi, S.; Sivasami, K.
    India has a huge potential to generate solar electric power due to its topology and weather pattern. The typical kWh reaching the planet from the sun is in the order of thousands of trillions annually out of which most of these regions get 3.5 to 7 kWh/m2 every 24 h. The solar energy in nature can, in turn, be applied to the heating system/space heating as well as to the establishment of electricity by means of solar-thermal and solar-photovoltaics. In addition, the capacity for extending solar power in our homeland is massive. The complementary part of solar is that it can also be produced as distributed energy, which enables the current ability to be added within a short period. The supplying of electrical energy to the areas that have limited access can be electrified easily by solar stand-alone power and, it is also possibly used for heating and cooling of villages and metropolitan areas. The sun is often considered supreme in terms of safety. Preferably, even a very minimum percentage of the solar energy harvested could potentially serve the needs of the entire country, although it involves real-time difficulties. In the current Indian situation, the generation of thermal power with regular hydro-carbon based material is well applied due to its cost efficiency. Solar can be supplied at a minimal cost via continuous development work and the launch of new technologies. This paper identifies the fundamental challenges/barriers in the procurement of solar power in India, in particular by photovoltaics, which could serve as useful guide for energy engineers and offer specific guidance on how to procure solar electrical power and other applications in an acceptable manner.