25 research outputs found
Nature, Nurture, and Empowerment: An Ecofeminist Reading of Utkarsh Patel’s Mythological Fiction Shakuntala: The Woman Wronged
No full textThe present research revisits the mythological fiction of Shakuntala: The Woman Wronged (2015) through an ecofeminist lens. Author Utkarsh Patel approaches the legendary tale of submissive Shakuntala and recreates it by arming her with the attributes of resilience, assertiveness, and compassion. Her deep bond with nature equips her with the strength to fight against patriarchal strictures. Based on the study of ecofeminism, this paper draws parallels between the exploitation of women and nature at the hands of mercenary and oppressive forces. An analysis of this work suggests that nature itself provides strength and succour and is also a source of empowerment. The strength gained through communion with nature allows her to make her voice heard. The ecofeminist perspective reveals how Shakuntala’s connection with nature offers her a sanctuary where she can explore her identity and voice, unimpeded by the norms that seek to suppress her. Her love for and defence of the environment transcends mere ecological concern—it becomes a catalyst leading to her transformation. Additionally, Shakuntala’s deep connection with Aranyani, the Forest Goddess, aligns with the concept of nature as a mother figure. By drawing attention to the intertwined dynamics of nature, nurture, and empowerment, this research celebrates and propagates the harmony between nature, feminine forces, and their transformative power
Comparative analysis of Grid forming and Grid following controls for Type-3 and Type-4 Wind Turbines
No full textWith an accelerated inclusion of renewable energy generators in the power system, the inertia support traditionally provided by conventionally powered synchronous generators is lagging, and power system stability is reducing. This grid-supporting behavior will now have to be provided by the power converters of renewable energy sources with the help of power electronics. Grid forming control refers to the idea of the converter’s ability to set its frequency and voltage by means of emulating similar characteristics as that of conventional synchronous generators. Most of the protection and control studies on grid forming control for wind turbines have been done using a simple power system model containing the generator and an infinite AC bus and very less insight is available for grid forming generators in a realistic power system. This study aimed to apply the grid forming control strategy on DFIG (Type-3) and full converter wind turbines (Type-4). For this, the MIGRATE benchmark models in RSCAD/RTDS were used for the comparison of the key power indicators for both grid forming and grid following controlled modes. This was followed by the development and validation of the grid forming controller as a black-box model using IntervalZero and RTDS software in the loop setup (SIL).Electrical Engineering | Sustainable Energy Technolog
Coproduction with Molten Carbonate Fuel Cells: Exploring the feasibility of coproducing hydrogen and electricity from internal reforming molten carbonate fuel cells
No full textThe concept of coproduction has been explored in combined heat and power applications. It is a method of improving the efficiency of the energy generating system by utilising waste heat. In the coming years hydrogen is expected to play an important role in decarbonization as it does not emit greenhouse gas at the point of application. Hydrogen today is primarily generated from fossil fuels and the processes of producing hydrogen are energy intensive, while also emitting large quantities of greenhouse gases into the atmosphere. As the amount of hydrogen generated today is limited, it has restricted the growth of industries such as the automobile industries producing fuel cell vehicles that are to use hydrogen as fuel. In this thesis report a coproduction concept using high temperature molten carbonate fuel cell has been examined. The molten carbonate fuel cells operate at very high temperature, and it is possible to utilise the waste heat for internal reforming reaction of a fuel such as natural gas to liberate hydrogen required by the fuel cell. Excess hydrogen can also be produced from such fuel cell systems when the fuel utilisation in the fuel cell is reduced. This concept has been studied with solid oxide fuel cells and a paper published in 2008 by Hemmes et al. titled "Flexible Coproduction of Hydrogen and Power Using Internal Reforming Solid Oxide Fuel Cells System" has served as the inspiration for this thesis report. Three modes of operations have been simulated in this thesis on the Cycle-Tempo software with varying fuel utilisations, similar to what has been shown with the solid oxide fuel cells in that paper. With molten carbonate fuel cells, overall efficiency of up to 80% was obtained in terms of electricity and hydrogen coproduction. By doing so it is also possible to produce overall power output of nearly three times than what can be achieved by conventional electricity production. The results obtained have also been compared with the solid oxide fuel cells in this report. While high coproduction efficiencies for flexibly coproducing hydrogen and power have been shown to be possible, other factors would also play important roles in the success of this technology. In this report some of those factors such as the status and expected growth of the hydrogen market, molten carbonate fuel cell market, role of actors, role of policy makers have also been examined. As this technology does rely on a fossil fuel that is natural gas, the benefits of using natural gas in hydrogen production has also been highlighted along with the positive effects these systems could have on the society
Design of an Automotive Occupant Restraint Systems for Reclined Seating
No full textAs the automotive industry advances towards greater autonomy, the landscape of car travel is evolving. The integration of reclined seating within vehicles, made possible without major alterations to traditional layouts, presents a promising avenue for enhancing passenger experiences. This shift, however, comes with unique safety challenges due to the changed seating dynamics.Research, including insights from General Motors, Volvo & Volkswagen emphasizes the need for innovative safety solutions for reclined seating. Simulations comparing three-point and four point seat belt configurations, in both upright and reclined positions, reveal advantages for the latter at higher speeds. This configuration produces a more balanced force distribution duringimpacts, away from vital areas.While the potential of a four-point restraint system is evident, implementation hurdles arise. Addressing both safety and comfort, a study assesses the user experience for both systems. Building on these insights, a convertible restraint system is proposed, seamlessly transitioning from a three-point to a four-pointconfiguration based on passenger position. This adaptable design merges safety and comfort effectively. The proposed design requires redesign of certain components of the seat back & headrest. These are provided as recommendationsIntegrated Product Desig
Design of Restraint Systems for Reclined Seating in the Automotive industry
No full textAs the automotive industry advances towards greater autonomy, the landscape of car travel is evolving. The integration of reclined seating within vehicles, made possible without major alterations to traditional layouts, presents a promising avenue for enhancing passenger experiences. This shift, however, comes with unique safety challenges due to the changed seating dynamics.Research, including insights from General Motors, Volvo & Volkswagen emphasizes the need for innovative safety solutions for reclined seating. Simulations comparing three-point and four-point seat belt configurations, in both upright and reclined positions, reveal advantages for the latter at higher speeds. This configuration produces a more balanced force distribution during impacts, away from vital areas.While the potential of a four-point restraint system is evident, implementation hurdles arise. Addressing both safety and comfort, a study assesses the user experience for both systems. Building on these insights, a convertible restraint system is proposed, seamlessly transitioning from a three-point to a four-point configuration based on passenger position. This adaptable design merges safety and comfort effectively.The proposed design requires the redesign of certain components of the seat back & headrest. These are provided as recommendations.Integrated Product Desig
Air Supported Structures and their response to Wind Loading: A parametric method for multiple geometries
No full textIn the presented work, we have developed a method to analyse the interaction between the wind and membrane structures. The complex behaviour of light weighted membrane structures can induce dynamic and wind effects, so this requires an appropriate method to analyse the structure. When the deformation of membrane structures is large, it becomes necessary to consider the interaction between wind flow and membrane. This interaction leads to aeroelastic problems. The necessary properties to be considered for the aeroelastic coupled problem are considered and presented. The major focus of the thesis is to simulate the geometric non-linear behaviour of the membrane structures when subjected to wind loading. To derive the initial equilibrium shape, the method of form finding is applied. To properly simulate the wind flow around the structure, existing research regarding wind tunnel testing of a hemispherical air dome model is used. First, hemispherical model similar to existing research was made to verify the boundary conditions. The results are compared to the wind-tunnel testing results to get proper boundary conditions in Computational Fluid Dynamics models. In order to keep the simulation simple, the wind velocity is considered constant with height and constant wind flow with respect to time. Partitioned analysis is used to simulate the physics behind the wind-membrane interaction simulation. By using this method, the multi-physics problem is separated into individual fields. Considering the wind-membrane interaction, the problem is separated into fluid domain and structural domain. The structural and fluid domain mechanics are discussed in detail. For the single field solvers, methods are introduced based on the fundamentals. Finite Element method is used for the form-finding as well as numerical simulation of the structural field and SOFiSTiK software is used. For the fluid simulation, ANSYS CFX is used. The strong physical coupling is done between the fluid and the structural domain. For this, the partitioned coupling simulation is used. The requirements and methods for the partitioned analysis are presented as well. For the coupling of separate solvers, a central coupling tool is made using Grasshopper. The transfer of coupling data such as displacement and wind pressure on the membrane structure is done using the developed coupling tool. In the development of this coupling method using Grasshopper, Python programming language is used. The developed method was used in iterations to analyse the effect of geometric non-linearity. In order to make the developed method reusable for the air-supported membrane structures, the whole process is made parametric using grasshopper. This enables us to analyse the membrane structures with known base shape, internal air pressure. Ultimately this method can be used to analyse the effect of geometric non-linearity on membrane structures when subjected to wind loading. To show the use case of developed method, two different models are developed to analyse the fluid structure interaction. First model has been considered with a circular base shape and the second one has been considered with a square base shape. In order to analyse the effect of geometric non-linearity on these structures, the results such as maximum wind pressure on the membrane structure and maximum structural displacement are compared to the results without considering the geometric non-linearity.Moreover, wind variation analysis is done to analyse the extent to which geometric non-linearity is dependent on the wind speed. Similarly, size variation analysis is also done to analyse the extent to which geometric non-linearity is dependent on the structure size, keeping the wind velocity constant.Civil Engineerin
Exploring the Possibility of Using Molten Carbonate Fuel Cell for the Flexible Coproduction of Hydrogen and Power
No full textFuel cells are electrochemical devices that are conventionally used to convert the chemical energy of fuels into electricity while producing heat as a byproduct. High temperature fuel cells such as molten carbonate fuel cells and solid oxide fuel cells produce significant amounts of heat that can be used for internal reforming of fuels such as natural gas to produce gas mixtures which are rich in hydrogen, while also producing electricity. This opens up the possibility of using high temperature fuel cells in systems designed for flexible coproduction of hydrogen and power at very high system efficiency. In a previous study, the flowsheet software Cycle-Tempo has been used to determine the technical feasibility of a solid oxide fuel cell system for flexible coproduction of hydrogen and power by running the system at different fuel utilization factors (between 60 and 95%). Lower utilization factors correspond to higher hydrogen production while at a higher fuel utilization, standard fuel cell operation is achieved. This study uses the same basis to investigate how a system with molten carbonate fuel cells performs in identical conditions also using Cycle-Tempo. A comparison is made with the results from the solid oxide fuel cell study.Economics of Technology and InnovationProcess and Energ
Prediction for the 2020 United States Presidential Election using Machine Learning Algorithm: Lasso Regression
No full textThis paper aims at determining the various economic and non-economic factors that can influence the voting behaviour in the forthcoming United States Presidential Election using Lasso regression, a Machine learning algorithm. Even though contemporary discussions on the subject of the United States Presidential Election suggest that the level of unemployment in the economy will be a significant factor in determining the result of the election, in our study, it has been found that the rate of unemployment will not be the only significant factor in forecasting the election. However, various other economic factors such as the inflation rate, rate of economic growth, and exchange rates will not have a significant influence on the election result. The June Gallup Rating, is not the only significant factor for determining the result of the forthcoming presidential election. In addition to the June Gallup Rating, various other non-economic factors such as the performance of the contesting political parties in the midterm elections, Campaign spending by the contesting parties and scandals of the Incumbent President will also play a significant role in determining the result of the forthcoming United States Presidential Election. The paper explores the influence of all the aforementioned economic and non-economic factors on the voting behaviour of the voters in the forthcoming United States Presidential Election.
The proposed Lasso Regression model forecasts that the vote share for the incumbent Republican Party to be 41.63% in the 2020 US presidential election. This means that the incumbent party is most likely to lose the upcoming election
Prediction for the 2020 United States Presidential Election using Linear Regression Model
No full textThe paper identifies various crucial factors, economic and non-economic, essential for predicting the 2020 United States presidential election results. Although it has been suggested by the contemporary discussions on the subject of United States presidential election that inflation rate, unemployment rate, and other such economic factors will play an important role in determining who will win the forthcoming United States Presidential Elections in November, it has been found in this study that, non-economic variables have a significant influence on the voting behaviour. Various non-economic factors like the performance of the contesting political parties in the midterm elections, the June Gallup Rating for the incumbent President, Average Gallup rating during the tenure of the incumbent President, Gallup Index, and Scandals of the Incumbent President were found to have a massive impact on the election outcomes. In the research conducted by Lewis-Beck and Rice (1982) , it was proposed that the Gallup rating for the Incumbent President, obtained in the month of June of the election year, is a significant factor in determining the results of the Presidential Elections. The major reason behind obtaining the Gallup Rating in June of the election year, post-primaries and pre-conventions, is that it is a relative political calm period. However, it has been found in this study that despite the existence of a relationship between the vote share of the incumbent President and his Gallup rating for June, the said Gallup rating cannot be used as the only factor for forecasting the results of the Presidential Election. The influence of all the aforementioned economic and non-economic factors and some other factors on the voter's voting behavior in the forthcoming United States Presidential Election is analyzed in this paper. The proposed regression model in the paper forecasts that Republican party candidate Donald Trump would receive a vote share of 46.74 ± 2.638%
Prediction for the 2020 United States Presidential Election Using Machine Learning Algorithm: Lasso Regression
No full textThis paper aims at determining the various economic and non-economic factors that can influence the voting behaviour in the forthcoming United States Presidential Election using Lasso regression, a Machine learning algorithm. Even though contemporary discussions on the subject of the United States Presidential Election suggest that the level of unemployment in the economy will be a significant factor in determining the result of the election, in our study, it has been found that the rate of unemployment will not be the only significant factor in forecasting the election. However, various other economic factors such as the inflation rate, rate of economic growth, and exchange rates will not have a significant influence on the election result. The June Gallup Rating, is not the only significant factor for determining the result of the forthcoming presidential election. In addition to the June Gallup Rating, various other non-economic factors such as the performance of the contesting political parties in the midterm elections, Campaign spending by the contesting parties and scandals of the Incumbent President will also play a significant role in determining the result of the forthcoming United States Presidential Election. The paper explores the influence of all the aforementioned economic and non-economic factors on the voting behaviour of the voters in the forthcoming United States Presidential Election.
The proposed Lasso Regression model forecasts that the vote share for the incumbent Republican Party to be 41.63% in the 2020 US presidential election. This means that the incumbent party is most likely to lose the upcoming election
