Browsing by Author "Rao, M."

Now showing 1 - 20 of 59

A Machine Learning Approach for Daily Temperature Prediction Using Big Data
(Springer Science and Business Media Deutschland GmbH, 2022) Divakarla, U.; Chandrasekaran, K.; Hemant Kumar Reddy, K.H.K.; Reddy, R.V.; Rao, M.
Due to global warming, weather forecasting becomes complex problem which is affected by a lot of factors like temperature, wind speed, humidity, year, month, day, etc. weather prediction depends on historical data and computational power to analyze. Weather prediction helps us in many ways like in astronomy, agriculture, predicting tsunamis, drought, etc. this helps us to be prepared in advance for any kinds disasters. With rapid development in computational power of high end machines and availability of enormous data weather prediction becomes more and more popular. But handling such huge data becomes an issue for real time prediction. In this paper, we introduced the machine learning-based prediction approach in Hadoop clusters. The extensive use of map-reduce function helps us distribute the big data into different clusters as it is designed to scale up from single servers to thousands of machines, each offering local computation and storage. An ensemble distributed machine learning algorithms are employed to predict the daily temperature. The experimental results of proposed model outperform than the techniques available in literature. Â© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
A Review on Stability of Caisson Breakwater
(Springer Nature, 2018) Gedda, A.B.; Rao, M.; Rao, S.
A Breakwater can be designed for several different purposes; the basic function of such kind breakwater is to protect the water region against waves. It provides a tranquility condition for ships to navigate, moor, and for cargo handling. These vertical structures (caisson) are more economical compared to the rubble mound breakwater, especially in deeper water depths. There is a demand to expand existing ports or to make them more profound, to provide a sufficient tranquil harbor basin in deep-water due to increasing draught of large vessels. The material required for rubble mound breakwaters increase quadratic with depth, but the volume of the caisson is less than that needed for a rubble mound breakwater because the latter increases with the square of water depth. This paper concerned the previous design and failure mechanism on caisson breakwater and highlights the future studies for such kind of breakwater. © Springer Nature Singapore Pte Ltd. 2019.
An experimental investigation on toe stability for verticalâ€”caisson breakwaters
(Springer Science and Business Media Deutschland GmbH, 2021) Kumaran, V.; Subba Rao; Rao, M.
For the design and construction of a vertical-caisson breakwater which is more significant task in the field of ocean engineering, since the incidicentÂ wave and reflected wave acting on the structure causes severe bottom scouring and final leads to failure of the structure. The influences of wave height, wave period, and toe armor unit stability are under investigation in this study. The experimental work conducted by Brebner and Donnelly [1], was put forward, that for a certain fixed relative foundation depth (d1/d) and wavelength (L), the significant wave height (Hs), will have an exponential relationship with the number of rocks displaced in the armor layer of the toe of the vertical-caisson structure. TheÂ investigation areÂ conducted inÂ the regular 2D wave flumeÂ at wave mechanics laboratory, NITK, Surathkal. The present paper provides the required information regarding the damage level of toeÂ armor units in transition water depths and the effect of wave parameters areÂ analyzed. Â© Springer Nature Singapore Pte Ltd 2021.
Application of an evolutionary technique (PSO SVM) and ANFIS in clear-water scour depth prediction around bridge piers
(2019) Sreedhara, B.M.; Rao, M.; Mandal, S.
The mechanism of the local scour around bridge pier is so complicated that it is hard to predict the scour accurately using a traditional method frequently by considering all the governing variables and boundary conditions. The present study aims to investigate the application of different hybrid soft computing algorithms, such as particle swarm optimization (PSO)-tuned support vector machine (SVM) and a hybrid artificial neural network-based fuzzy inference system to predict the scour depth around different shapes of the pier using experimental data. The important independent input parameters used in developing the soft computing models are sediment particle size, a velocity of the flow and the time taken in the prediction of the scour depth around the bridge pier. Different pier shapes used in the present study are circular, round-nosed, rectangular and sharp-nosed piers. The accuracy and efficiency of the two hybrid models are analyzed and compared with reference to experimental results using model performance indices (MPI) such as correlation coefficient (CC), normalized root-mean-squared error (NRMSE), normalized mean bias (NMB) and Nash Sutcliffe efficiency (NSE). The ANFIS model with Gbell membership and the PSO SVM model with polynomial kernel function yield good results in terms of MPI. The performance of PSO SVM with polynomial kernel function with CC of 0.949, NRMSE of 7.47, NMB of ? 0.009 and NSE of 0.90 reveals that the hybrid ANFIS model with Gbell membership function yields slightly better than that of the PSO SVM model with CC of 0.950, NRMSE of 6.92, NMB of ? 0.002 and NSE of 0.91 for the optimum bridge pier with circular shape, whereas the performance of PSO SVM model is better than that of ANFIS model for optimum bridge piers with rectangular and sharp nose shape. The PSO SVM model can be adopted as accurate and efficient alternative approach in predicting scour depth of the pier. 2018, The Natural Computing Applications Forum.
Application of an evolutionary technique (PSO–SVM) and ANFIS in clear-water scour depth prediction around bridge piers
(Springer London, 2019) Marulasiddappa, B.M.; Rao, M.; Mandal, S.
The mechanism of the local scour around bridge pier is so complicated that it is hard to predict the scour accurately using a traditional method frequently by considering all the governing variables and boundary conditions. The present study aims to investigate the application of different hybrid soft computing algorithms, such as particle swarm optimization (PSO)-tuned support vector machine (SVM) and a hybrid artificial neural network-based fuzzy inference system to predict the scour depth around different shapes of the pier using experimental data. The important independent input parameters used in developing the soft computing models are sediment particle size, a velocity of the flow and the time taken in the prediction of the scour depth around the bridge pier. Different pier shapes used in the present study are circular, round-nosed, rectangular and sharp-nosed piers. The accuracy and efficiency of the two hybrid models are analyzed and compared with reference to experimental results using model performance indices (MPI) such as correlation coefficient (CC), normalized root-mean-squared error (NRMSE), normalized mean bias (NMB) and Nash–Sutcliffe efficiency (NSE). The ANFIS model with Gbell membership and the PSO–SVM model with polynomial kernel function yield good results in terms of MPI. The performance of PSO–SVM with polynomial kernel function with CC of 0.949, NRMSE of 7.47, NMB of ? 0.009 and NSE of 0.90 reveals that the hybrid ANFIS model with Gbell membership function yields slightly better than that of the PSO–SVM model with CC of 0.950, NRMSE of 6.92, NMB of ? 0.002 and NSE of 0.91 for the optimum bridge pier with circular shape, whereas the performance of PSO–SVM model is better than that of ANFIS model for optimum bridge piers with rectangular and sharp nose shape. The PSO–SVM model can be adopted as accurate and efficient alternative approach in predicting scour depth of the pier. © 2018, The Natural Computing Applications Forum.
Areca nut husk biochar as a sustainable carbonaceous filler for cement: Pyrolysis temperature and its effect on characterization, strength, and hydration
(Elsevier B.V., 2024) Manjunath, B.; Ouellet-Plamondon, C.M.; Das, B.B.; Rao, S.; Bhojaraju, C.; Rao, M.
This study addresses the gap in sustainable agro-based materials for cement by exploring locally available areca nut husk pyrolyzed into areca nut husk biochar (AB). The research investigated the effect of pyrolysis temperature (300°C, 400°C, and 500°C) on the characteristics of AB and its impact on cementitious performance. The study found that increasing pyrolysis temperatures led to lower yield, greater aromaticity, and increased surface area of AB. Fourier Transform Infrared Spectroscopy (FTIR) analysis showed decreased functional groups in AB at higher temperatures, confirming enhanced carbonization. Thermogravimetric analysis (TGA) revealed greater thermal stability of AB. X-ray diffraction (XRD) indicated a carbon-rich amorphous structure and crystalline graphite carbon formation in AB. Incorporating AB at 2 % into cementitious composites substantially increased the compressive strength compared to the control mortar. At 7 and 28 days, the compressive strength increased by 8 % and 12 % for AB 300, 16 % and 21 % for AB 400, and 27 % and 34 % for AB 500. This improvement was due to the micro filler effect of AB, which improved the compactness of the cementitious matrix. Hydration studies from TGA showed that the addition of AB accelerated early-stage hydration, with the degree of hydration increasing from 46 % (in control mix) to 48–53 % in AB blended mixes using Bhatty's method. FTIR analysis demonstrated improved hydration of silicate phases and C-S-H formation in the presence of AB, supported by XRD analysis. AB blended mortar reduced the CO2 equivalent emission by 22 % compared to the control mortar attributed to its carbon sequestration capacity. These results highlight the potential of AB as a sustainable carbonaceous filler for cementitious composites, offering an environmentally friendly option for future research in construction materials. © 2024 Elsevier B.V.
Assessment of dynamic pressure and wave forces on vertical-caisson type breakwater
(Taylor and Francis Ltd., 2022) Kumaran, V.; Rao, M.; Rao, S.
The design and construction of coastal structures such as breakwaters, at great water depths is rapidly increasing as a result of the increasing draught of large vessels and off-shore land reclamations. Vertical caisson breakwaters may be the best alternative compared to ordinary rubble mound breakwaters in larger water depths, in terms of performance, total costs, environmental aspects, construction time and maintenance. To fulfilling the functional utility and impact of the structure on the sea environment, it is necessary to study the hydraulic performance. This can be found by field investigation, numerical simulations and by physical modelling. Scale modelling techniques are used to study various coastal engineering problems. This article presents the results obtained by conducting series of experiments in two-dimensional wave flume to assess the hydrodynamic performance of vertical-caisson breakwater, which is made of concrete, with the protection of toe. The dynamic pressure distribution, wave runup, wave reflection, wave forces and stability parameter on the vertical caisson breakwater are discussed. The maximum wave force on the wall breakwater is calculated from measured pressure values and is compared with the forces calculated by Goda’s and Sainflou wave theories. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
Assessment Of Wave Overtopping Discharge at Quarter Circle Breakwater Using Soft Computing Techniques
(Universidad de Cantabria, 2024) Mane, V.; Shankara Krishna, A.; Rao, M.; Rao, S.
The precise prediction of wave overtopping (WO) discharge is crucial for the design of coastal protection structures, particularly in light of the challenges posed by climate change. This study focuses on a quarter-circle breakwater (QBW) comprising a vertical back wall, a horizontal base slab on a rubble mound foundation, and a quarter-circle front wall facing incident waves. Utilizing Support Vector Machine (SVM) and Least Square Support Vector Machine (LSSVM), the research aims to estimate the mean overtopping discharge at the QBW. Input parameters, including incident wave steepness (Hi/gT2), depth parameter (d/gT2), percentage of perforations (p), and crest height parameter (Rc/Hi), are employed, with mean overtopping discharge (q/gHi T) as the output. Model performance is assessed using indicators such as Root Mean Square Error (RMSE), Correlation Coefficient (CC), Scatter Index (SI), and Index of Agreement (d). Results suggest that both SVM and LSSVM are effective in estimating mean overtopping discharge, with LSSVM demonstrating superior accuracy compared to SVM. The study findings contribute valuable insights for coastal engineering, particularly in designing structures resilient to wave overtopping amid ongoing climate change effects. © SEECMAR | All rights reserved.
Assessment of wind and wave energy potential along the Indian coast
(Cogent OA, 2024) Upadhyaya, S.; Rao, S.; Rao, M.
The focus is now on sustainable development, which is inevitable without harnessing renewable energy sources. The fundamental element in wind wave generation is the interaction between air and sea which helps in momentum exchange between atmosphere and ocean. The Indian coastline is under a dynamic wave climate with the action of wind. Indian landmass has two tropical basins, the Bay of Bengal and the Arabian Sea, which have tremendous potential to tap renewable energy. The variations in wave climate due to dynamic-wind have to be assessed. Hindcast data obtained from Global Climate Models help us in the long-term analysis of wind and wave climate. In an attempt to explore the renewable energy potential along the Indian coast, a numerical wave model is developed using MIKE 21 SW module to assess the wind and wave climate. A gridded global wind speed dataset from ECMWF called ERA-Interim wind speed data of 38 years (1981 to 2018) is used as input for the numerical model. The dataset and numerical model performance were validated against in-situ measurements. The results showed amongst the locations studied off Goa, Karnataka, Kerala, Tamil Nadu, and Andhra Pradesh had good potential to extract offshore wind energy using offshore wind turbines. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Comprehensive Prediction Model for Player Selection in FIFA Manager Mode
(Springer Science and Business Media Deutschland GmbH, 2023) Divakarla, U.; Chandrasekaran, K.; Hemant Kumar Reddy, K.; Rao, M.
Game is one of the most entertaining shows for todayâ€™s all generation peoples, particularly Football in most part of countries of the world. Football as a sport is only growing more and more popular every day. It is currently the worldâ€™s most-watched sport and has the highest viewership audience. As a result, a whole industry has arisen around this sport with one important part of it being FIFA. The amount of budget allocated and the number of persons involved in a Football game directly or indirectly can affect the financial budget of a person to a federation's finance. In such cases, player selection for a finalist from the federation is the most crucial task. Every year different approaches were investigated for player selections, but none of them was regarded as the best approach for team selection. Thus, there is a need for a standard approach for finding out the perfect players for their teams with the exact qualities that they demand. In response, we have developed a machine learning model that predicts players who could replace a current existing player in a team. Along with that, we have also incorporated Data Analytics that helps us decide which factors would be more important than others. The proposed prediction model is implemented and the results of our machine learning (SAGA-ML) tool are applied to Electronics Artsâ€™ FIFA Soccer game. Â© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Coupled dynamic analysis of semi-submersible floating wind turbine integrated with oscillating water column WEC
(Springer Science and Business Media Deutschland GmbH, 2024) Sebastian, B.; Karmakar, D.; Rao, M.
The present study envisages to investigate the coupled dynamic behaviour of three configurations of a hybrid wind-wave energy system integrating Oscillating Water Column (OWC) wave energy converters to DeepCwind semi-submersible supporting an NREL (National Renewable Energy Laboratory) 5 MW wind turbine. DeepCwind semi-submersible is a platform designed specifically for the purpose of supporting floating offshore wind turbines and the stability of the platform has been well confirmed by scaled-down experiments and numerical studies. The numerical simulation for the present study is performed using the aero-hydro-servo-elastic tool OpenFAST. The dynamic responses of the hybrid platforms are determined for different operational and parked wind speed conditions of the wind turbine in irregular waves. The motion responses, tower base forces and moments, mooring tensions and power absorption of the hybrid configurations have been characterized. Furthermore, the effect of coupling between the semi-submersible platform and the OWCs is studied by comparing the results of the combined platforms with that of the uncoupled wind energy platform. The coupled dynamic analysis in the time domain shows that increasing the number of OWC helps to reduce the motion responses in heave and pitch. The capture width ratio of the system is observed to be highest for hybrid configuration with a single OWC device. The present study will be helpful in the design and analysis of hybrid floating wave-wind energy platform. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
Damage Analysis of Toe for Wall Type Breakwaters
(Springer, 2022) Kumaran, V.; Rao, M.; Rao, S.
This study presents the result obtained from a series of experiments conducted in regular wave flume to assess the stability of toe protection for wall type breakwater. In the present paper, the determination of the size of the toe armour units and its cross-section for the stable design is presented. The applicability of the Brebner and Donnelly (Coast Eng Proc 1: 24, 1962) design curve for depth limited conditions is validated for a certain fixed relative foundation depth (d1/d) and wavelength (L), the significant wave height (Hs). The main aim of the tests is to know the stability of the toe armour units and % damage level for varying wave characteristics. The results are represented in non-dimensional graphs and it is observed that the maximum percentage damage observed for the depth of water 0.35 m is 5.2 %. © 2021, The Institution of Engineers (India).
Damage Analysis of Tool-Based Micromachining Setup Using Electrical Continuity-Based Contact Detection System
(Springer, 2021) Veeresha, R.K.; Rao, M.; Rao, R.; Sushith, S.; Karegoudra, M.K.
Initial registration of tool with respect to workpiece is a critical requirement in tool-based micromachining setup. As the tool is in the order of few hundred micrometre diameter and rotating at very high speed, hence, the chance of tool breakage or workpiece surface damage during tool workpiece registration is more during micromachining. Initial tool registration of tool with respect to workpiece circuit was developed and incorporated with developed tool-based micromachining setup. The performance of the developed electrical continuity-based contact detection circuit was done by feeding the workpiece with different offset dimensions. From the experiments, it’s observed that there is more damage in workpiece when tool workpiece offset distance is more in both milling and drilling tools. © 2021, ASM International.
Design, analysis and testing of flexurally amplified piezoactuator based active vibration isolation system for micromilling
(Bangladesh University of Engineering and Technology, 2020) Divijesh, P.; Rao, M.; Rao, R.; Ahmed, R.M.; Sushith, K.
Vibration is considered to be one of the limiting factors which affects precise measurements and surface finish of various mechanical components. Active Vibration Isolation is one such effective method which reduces the unwanted vibrations in any mechanical systems in a wide range of frequencies. This paper presents the design, analysis and testing of an active vibration isolation system based on Flexurally Amplified Piezo actuators (FAP1 and FAP2). The proposed set up aims at obtaining 180° out of phase displacement signal to the generated displacement signal using FAPs thereby minimising vibrations at the isolation platform. The maximum displacements of FAP1 and FAP2 obtained for 0-150V sinusoidal peak to peak amplitude at 1Hz frequency was found to be 810?m and 780?m respectively. The experimental displacements obtained were compared with simulated displacements using Forward Bouc-Wen hysteresis model and found very well agreed with each other within 1% error. An attempt has been made to estimate the voltage required for obtaining any desired displacement of FAPs using Inverse Bouc-Wen model through Simulink. The experimental displacements for the corresponding estimated voltages were obtained for FAPs. Finally, the proposed set up was tested by actuating both FAP1 and FAP2 separately and simultaneously for 0-150V at 1Hz frequency and was found that the displacements obtained were 180° out of phase thereby minimizing vibrations at the isolation platform. © 2020 Zibeline International Publishing Sdn. Bhd.. All rights reserved.
Development and assessment of large stroke piezo-hydraulic actuator for micro positioning applications
(Elsevier Inc. sinfo-f@elsevier.com, 2021) Mohith, S.; Rao, M.; Karanth P, K.P.; Kulkarni, S.M.; Upadhya, A.R.
The primary concern with micro-positioning systems is to achieve precise positioning, coupled with the broad stroke of actuation. Over the past few years, the advancement in piezoelectric technology has adequately fulfilled the purpose of precision positioning applications. The advantages of accurate control and positioning accuracy, compactness, minimum wear and tear, enhanced stiffness in conjunction with better dynamic response has led to the extensive utilization of piezoelectric actuators as a precision positioning source. However, the inadequacies of limited positioning stroke, together with the inherent hysteresis hinder the performance of piezoelectric actuators. The present work aims at the development of a new piezo-hydraulic actuator for overcoming the disadvantage of limited stroke of the piezoelectric actuator through hydraulic displacement amplification mechanism (HDAM). The proposed piezo-hydraulic actuator works based on differential area principle and Pascal's law. The prototype of the piezo-hydraulic actuator incorporates amplified piezo actuator (APA) as a primary actuator which deflects a piston causing the fluid to get displaced from larger cross-section to smaller cross-section. This intern leads to amplified motion. An electromechanical model coupled with the Bouc-Wen hysteresis model is implemented in the present work to simulate the displacement and force characteristics of the proposed piezo-hydraulic actuator. The experimental work involved the fabrication and characterization of the proposed piezo-hydraulic actuator. The experimental results are validated by comparing with the simulated results obtained from the mathematical model. The maximum amplification factor of the piezo-hydraulic actuator achieved is about 77.00, which is in close agreement with the theoretical amplification factor of 79, with the error of about 2.53%. When the piezo hydraulic actuator is actuated at 150 V, the amplified piezo actuator achieves a maximum deflection of 129.02 ?m which gets amplified to a value of about 9934.69 ?m through hydraulic amplification. The fabricated prototype of piezo-hydraulic actuator achieves maximum blocking force of 0.5 N at 150 V. © 2020 Elsevier Inc.
Development of concrete armoured protected breakwater structure
(CAFET INNOVA Technical Society 1-2-18/103, Mohini Mansion, Gagan Mahal Road, Domalguda, Hyderabad 500029, 2011) Rao, M.; Rao, S.; Shirlal, K.G.
The present work involves the physical model study of stability of conventional single breakwater and the reef protected breakwater, constructed with concrete cube as an artificial armour unit. Regular waves of wide ranging heights and periods are used. The tests are carried out for different spacings between the two structures (X/d = 2.5-13.33) and for different relative heights (h/d = 0.625-0.833) and relative widths (B/d = 0.25-1.33) of the reef. It is observed that a reef of width (B/d) of 1.0-1.33 constructed at a seaward distance (X/d) of 6.25-8.33 exhibits a transmission coefficient (Kt) of 0.38-0.708, wave dissipates energy and protect the breakwater optimally. © 2011 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.
Development of piezoactuator based rotary tool feeding system for micro-EDM
(Elsevier Ltd, 2022) Venugopal, T.R.; Rao, M.; Rao, R.; Sushith, K.
Micro Electrical Discharge Machining (micro-EDM) is widely employed for the fabrication of component parts used in Micro Electro Mechanical System (MEMS) devices and many other applications. Spark gap, being a critical process parameter in micro-EDM, must be maintained at optimum length for stable machining. To meet this critical requirement, the tool feeding system employed in micro-EDM must be capable of feeding the tool electrode adaptively to maintain the optimum spark gap. This paper proposes to develop a Flexurally Amplified Piezoactuator based rotary tool feeding system for micro-EDM. Hysteresis behavior of the piezoactuated tool feeding system is modeled using Maxwell's hysteresis model. Model based tool feed control experiments were conducted for different feed displacements ranging from 100 Î¼m to 600 Î¼m and spindle rotational speeds from 400 rpm to 1800 rpm. From the experimental results it is observed that the developed rotary tool feeding system performs with an error less than 1% for larger feed displacements at higher spindle speeds. Machining experiment with tool rotation enhanced blind hole depth by 29.21% compared to machining without tool rotation. [copyright information to be updated in production process]. Â© 2022 Elsevier Ltd. All rights reserved.
Displacement characteristics of a piezoactuator-based prototype microactuator with a hydraulic displacement amplification system
(Korean Society of Mechanical Engineers, 2015) Rao, M.; Rao, R.
In this study, a new piezoactuator-based prototype microactuator is proposed with a hydraulic displacement amplification system. A piezoactuator is used to deflect a diaphragm which displaces a certain volume of hydraulic fluid into a smaller-diameter piston chamber, thereby amplifying the displacement at the other end of the piston. An electro-mechanical model is implemented to estimate the displacement of a multilayer piezoelectric actuator for the applied input voltage considering the hysteresis behavior. The displacement characteristics of the proposed microactuator are studied for triangular actuation voltage signal. Results of the experiments and simulation of the displacement behavior of the stacked piezoactuator and the amplified displacement of the prototype actuator were compared. Experimental results suggest that the mathematical model developed for the new piezoactuator-based prototype actuator is capable of estimating its displacement behavior accurately, within an error of 1.2%. © 2015, The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.
Dynamic analysis of a semi-submersible offshore floating wind turbine combined with wave energy converters
(Taylor and Francis Ltd., 2025) Sebastian, B.; Karmakar, D.; Rao, M.
Hybrid wind–wave energy systems harness both offshore wind and wave energy resources using a shared floating platform, reducing capital and operational costs through common infrastructure. The present study numerically investigates the dynamic performance and power absorption of three hybrid concepts combining the DeepCwind Semi-submersible Platform (SSP) with (i) Oscillating Water Columns (OWC), (ii) Torus Wave Energy Converter (WEC), and (iii) Flap-type WEC. Frequency-domain analyses using WAMIT and time-domain simulations using OpenFAST are performed to assess platform motions, tower base moments, mooring tensions, and WEC power output for different sea states. The integration of WECs significantly improves the hydrodynamic behaviour of the DeepCwind SSP. Flap-type WECs demonstrate the best dynamic performance, reducing heave and pitch by up to 68% and 58%, and mooring tension by 54%. The OWC system achieves the highest power absorption and a 55% capture width ratio, but increases surge and pitch motions by 6% and 27%, respectively, on introducing additional loads on the system. © 2025 Informa UK Limited, trading as Taylor & Francis Group.
Dynamic behaviour and power performance of a Septon semisubmersible floating wind turbine integrated with wave energy converters
(Nature Research, 2025) Sebastian, B.; Karmakar, D.; Rao, M.
The development of renewable energy sources is inevitable to create a sustainable society for the future. Hybrid wind and wave energy systems are highly regarded as a solution to reduce the cost of energy from offshore wind and waves. The manuscript presents a novel semi-submersible floating wind platform referred to as Septon which is designed with the intention of hosting a multitude of wave energy devices in addition to a wind turbine. Three different wave energy converters (WEC) namely oscillating water column, Torus and point absorber along with their combinations with the Septon platform are considered in the study to understand the dynamic behaviour and power absorption of standalone and integrated configuration. Seven different configurations of the hybrid system are considered for the analysis. Coupled dynamic analysis is performed using an aero-hydro-servo-elastic tool based on boundary element method to analyze the responses of the hybrid platforms under realistic sea states. The motion responses, tower base moments, mooring tensions and power absorption of the hybrid systems are analyzed and compared with the Septon floating wind platform to quantify the effect of various combination of WECs around the wind turbine platform. The numerical results shows that different combinations have a significant impact on the dynamic responses of the platform. The study identifies the hybrid system combining OWC and Torus with the proposed Septon platform as the concept with maximum efficiency in power absorption. © The Author(s) 2025.