Programes de mobilitat 'outgoing' (ETSEIB)
http://hdl.handle.net/2099.1/14963
2024-03-29T15:21:37ZCharacterization of eutectic oxides and relationship between microstructure and process
http://hdl.handle.net/2117/400506
Characterization of eutectic oxides and relationship between microstructure and process
Sen, Gourav Malay
2024-01-30T09:58:13ZSen, Gourav MalayDevelopment of computational methods for integrated deterministic and probabilistic safety analysis
http://hdl.handle.net/2117/400503
Development of computational methods for integrated deterministic and probabilistic safety analysis
Rai, Ajit
Reliability studies and safety analysis are integral part of Nuclear Power Plants (NPPs) designing and licensing process. In addition to this, more complexities are encountered for the purpose of extension of lifetime of older nuclear systems. This requires risk-informed decision-making capability. There is requirement of advancing the traditional static approaches like Event Trees (ETs) and Fault Trees (FTs) for accounting system dynamic behavior and its interactions with system state transition process. Risk Informed Safety Margin Characterization (RISMC) is a state-of-the-art approach for complementing the capabilities of traditional approaches. The challenge of RISMC is to develop a methodology to support decision-making in dealing with the effects of stochastic and epistemic uncertainties affecting the system physical behavior when estimating the system safety margins for licensing purposes. In the present work the safety margin uncertainties are captured using Order Statistics (OS) methodologies (i.e. Bracketing and Coverage approach) for estimating given percentiles of the safety parameter distribution and of the time required to reach those values of the safety parameters. The novelty of the proposed approach is the integration of dynamic aspects (i.e. timing of events) into a probabilistic Quantification of Margin and Uncertainties (QMU). This provides a dynamic reliability analysis to explain the effect of dynamic scenarios where time, order and magnitude of failure are critical aspects for estimating the risk. The dynamic system here considered for demonstration purpose of the feasibility of one approach for dynamic probabilistic safety margin (DPM) estimation, is the Lead - Bismuth Eutectic - eXperimental Accelerator Driven System (LBE-XADS). Finally, the framework developed in this approach is applied to a pilot case study of a TRACE model of the Zion NPP. As future prospects of this work, it is suggested to use it for specific identification of Prime Implicants (PIs) and Minimal Cut Sets (MCS) while also identifying the sequences that do not act as initiating events but cause transients that might possess risk to safety margin. The present work can also be used for distinguishing and quantifying the Dynamic Probabilistic safety Margin (DPM) of PIs, ‘near-miss’ sequences and the safe sequences of a Dynamic Event Tree (DET). The results of the present work will be submitted in the form of a research paper “A Risk Informed Safety Margin Characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis” by Di Maio, F., Rai, A. and Zio, E.
2024-01-30T09:31:06ZRai, AjitReliability studies and safety analysis are integral part of Nuclear Power Plants (NPPs) designing and licensing process. In addition to this, more complexities are encountered for the purpose of extension of lifetime of older nuclear systems. This requires risk-informed decision-making capability. There is requirement of advancing the traditional static approaches like Event Trees (ETs) and Fault Trees (FTs) for accounting system dynamic behavior and its interactions with system state transition process. Risk Informed Safety Margin Characterization (RISMC) is a state-of-the-art approach for complementing the capabilities of traditional approaches. The challenge of RISMC is to develop a methodology to support decision-making in dealing with the effects of stochastic and epistemic uncertainties affecting the system physical behavior when estimating the system safety margins for licensing purposes. In the present work the safety margin uncertainties are captured using Order Statistics (OS) methodologies (i.e. Bracketing and Coverage approach) for estimating given percentiles of the safety parameter distribution and of the time required to reach those values of the safety parameters. The novelty of the proposed approach is the integration of dynamic aspects (i.e. timing of events) into a probabilistic Quantification of Margin and Uncertainties (QMU). This provides a dynamic reliability analysis to explain the effect of dynamic scenarios where time, order and magnitude of failure are critical aspects for estimating the risk. The dynamic system here considered for demonstration purpose of the feasibility of one approach for dynamic probabilistic safety margin (DPM) estimation, is the Lead - Bismuth Eutectic - eXperimental Accelerator Driven System (LBE-XADS). Finally, the framework developed in this approach is applied to a pilot case study of a TRACE model of the Zion NPP. As future prospects of this work, it is suggested to use it for specific identification of Prime Implicants (PIs) and Minimal Cut Sets (MCS) while also identifying the sequences that do not act as initiating events but cause transients that might possess risk to safety margin. The present work can also be used for distinguishing and quantifying the Dynamic Probabilistic safety Margin (DPM) of PIs, ‘near-miss’ sequences and the safe sequences of a Dynamic Event Tree (DET). The results of the present work will be submitted in the form of a research paper “A Risk Informed Safety Margin Characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis” by Di Maio, F., Rai, A. and Zio, E.How Private Equity Funds create value through LBOs A case study analysis of Hugo Boss’s buyout by Permira
http://hdl.handle.net/2117/400501
How Private Equity Funds create value through LBOs A case study analysis of Hugo Boss’s buyout by Permira
López Trucharte, Irene
This paper aims at analysing the impact of private equity funds in creating value for leveraged
buyouts. More specifically, it focuses on studying the value drivers that contributed to the creation
of economic and social value in Permira IV Fund’s most successful transaction, Hugo Boss’s
LBO. The first section of the thesis presents an overview of the private equity industry, including
general trends and dynamics as well as the retail apparel market. It is followed by an exhaustive
analysis of private equity structuring fundamentals and how private equity funds create value
through LBOs, focusing on the measurement of the main value drivers and the returns achieved.
In the second part, academic literature currently used in the private equity industry has been
applied to assess the returns achieved in the Hugo Boss deal. The overall value created has been
decomposed into the main value drivers showing that, although financial engineering was the
main value driver, operational improvements have also become a key source of value.
2024-01-30T09:09:05ZLópez Trucharte, IreneThis paper aims at analysing the impact of private equity funds in creating value for leveraged
buyouts. More specifically, it focuses on studying the value drivers that contributed to the creation
of economic and social value in Permira IV Fund’s most successful transaction, Hugo Boss’s
LBO. The first section of the thesis presents an overview of the private equity industry, including
general trends and dynamics as well as the retail apparel market. It is followed by an exhaustive
analysis of private equity structuring fundamentals and how private equity funds create value
through LBOs, focusing on the measurement of the main value drivers and the returns achieved.
In the second part, academic literature currently used in the private equity industry has been
applied to assess the returns achieved in the Hugo Boss deal. The overall value created has been
decomposed into the main value drivers showing that, although financial engineering was the
main value driver, operational improvements have also become a key source of value.Start-up Valuation Case Study of MADE.COM
http://hdl.handle.net/2117/400488
Start-up Valuation Case Study of MADE.COM
Carnal, Eduardo
This work focuses on carrying out an in-depth study of the concept of start-ups in order to understand the complexity of their valuations and end up valuing the company MADE.com.To do this, firstly, a rigorous research of different studies and works has been carried out with the idea of initially understanding the environment of a start-up, its different phases and its type of financing. In this way, it has been possible to better classify our target company for further analysis. Then, we proceeded to explain exhaustively the different methods for valuing start-ups, including both the more conventional and the less traditional approaches. Once the theoretical investigation of the start-up ecosystem has been completed. We proceeded to carry out the practical example using all the knowledge acquired in the previous sections. In this way, a study of the market and of the company MADE was carried out in order to correctly understand all the stakeholders involved in this business. Finally, the company was valued using the valuation methods considered most appropriate for the type of stat-up that MADE is. The methods we decided to use for this valuation were as follows: DCF, Public Comps, Real Options, Book Value, Venture Capital, First Chicago and Scorecard, the results of which have been summarised in the Football Field Valuation. The result obtained is that MADE.Com is valued at £672-757 million, which would imply a price between c£179-201 per share. Thus, this work has allowed us to better understand the concept of start-ups and to be able to put this knowledge into practice through a real case
2024-01-30T08:45:29ZCarnal, EduardoThis work focuses on carrying out an in-depth study of the concept of start-ups in order to understand the complexity of their valuations and end up valuing the company MADE.com.To do this, firstly, a rigorous research of different studies and works has been carried out with the idea of initially understanding the environment of a start-up, its different phases and its type of financing. In this way, it has been possible to better classify our target company for further analysis. Then, we proceeded to explain exhaustively the different methods for valuing start-ups, including both the more conventional and the less traditional approaches. Once the theoretical investigation of the start-up ecosystem has been completed. We proceeded to carry out the practical example using all the knowledge acquired in the previous sections. In this way, a study of the market and of the company MADE was carried out in order to correctly understand all the stakeholders involved in this business. Finally, the company was valued using the valuation methods considered most appropriate for the type of stat-up that MADE is. The methods we decided to use for this valuation were as follows: DCF, Public Comps, Real Options, Book Value, Venture Capital, First Chicago and Scorecard, the results of which have been summarised in the Football Field Valuation. The result obtained is that MADE.Com is valued at £672-757 million, which would imply a price between c£179-201 per share. Thus, this work has allowed us to better understand the concept of start-ups and to be able to put this knowledge into practice through a real caseITER TB 03 - Heavy Nuclear Doors
http://hdl.handle.net/2117/400201
ITER TB 03 - Heavy Nuclear Doors
Palla, Harin Reddy
2024-01-24T14:58:49ZPalla, Harin ReddyDynamic modeling of the cooling circuits of superconductive magnets of the Japanese tokamak JT60-SA
http://hdl.handle.net/2117/400198
Dynamic modeling of the cooling circuits of superconductive magnets of the Japanese tokamak JT60-SA
Cirillo, Roberta
2024-01-24T14:58:03ZCirillo, RobertaMaterial selection and design of experimental setup for material testing of molten salt reactor
http://hdl.handle.net/2117/400197
Material selection and design of experimental setup for material testing of molten salt reactor
Bari, Md Abdullah Al
The objectives of the project are two. First one is the literature survey and selection of best materials for molten salt reactor application and the last one is to design an experimental setup for testing the materials inside molten salt for mechanical properties evaluation. It reveals from literature survey that the nickel based alloys with low chromium content are suitable for molten salt reactor application. Because the chromium causes corrosion in molten salt environment after a certain time and temperature is high in the reactor. Hastelloy N is one of the best suitable nickel based alloy for this application. But it has also some problems at high temperature and impurities. There are some newly developed materials which have potential to be good candidate materials for molten salt reactor application but need more R&D. One of this is Ni-W-Cr material which is developed in CNRS laboratory, France. The major part of this project is designing an experimental setup to test the mechanical properties of the materials at molten salt environment. The deign involves studying a system which can hold the sample at certain level of stress during experimentation. It has tested in this project by numerical simulation of the proposed experimental setup and optimizes the final design. ANSYS is used for numerical simulation. The criterion used is that the stress (which is bending stress) on the sample is always below the yield’s stress limit of the sample at corresponding temperature. From the optimized design is has seen that the maximum deflection that can take by the sample is around 3 mm and the maximum stress developed at 600oC is 114 MPa, which is below the yield stress limit of the material stainless steel 304.
2024-01-24T14:57:22ZBari, Md Abdullah AlThe objectives of the project are two. First one is the literature survey and selection of best materials for molten salt reactor application and the last one is to design an experimental setup for testing the materials inside molten salt for mechanical properties evaluation. It reveals from literature survey that the nickel based alloys with low chromium content are suitable for molten salt reactor application. Because the chromium causes corrosion in molten salt environment after a certain time and temperature is high in the reactor. Hastelloy N is one of the best suitable nickel based alloy for this application. But it has also some problems at high temperature and impurities. There are some newly developed materials which have potential to be good candidate materials for molten salt reactor application but need more R&D. One of this is Ni-W-Cr material which is developed in CNRS laboratory, France. The major part of this project is designing an experimental setup to test the mechanical properties of the materials at molten salt environment. The deign involves studying a system which can hold the sample at certain level of stress during experimentation. It has tested in this project by numerical simulation of the proposed experimental setup and optimizes the final design. ANSYS is used for numerical simulation. The criterion used is that the stress (which is bending stress) on the sample is always below the yield’s stress limit of the sample at corresponding temperature. From the optimized design is has seen that the maximum deflection that can take by the sample is around 3 mm and the maximum stress developed at 600oC is 114 MPa, which is below the yield stress limit of the material stainless steel 304.Basic Events important analysis of Fire PSA versus Internal Events PSA through use of RiskSpectrum® for Spanish nuclear utility
http://hdl.handle.net/2117/400196
Basic Events important analysis of Fire PSA versus Internal Events PSA through use of RiskSpectrum® for Spanish nuclear utility
Akhade, Nitin Zimaji
2024-01-24T14:56:38ZAkhade, Nitin ZimajiEtecnic Investment Guide
http://hdl.handle.net/2117/400194
Etecnic Investment Guide
Solà Martínez, Roger
The thesis aims to obtain two main results: The first one, to provide Etecnic (Spanish company in the electric car charger sector) with an exhaustive analysis of the advantages and disadvantages of entering into an investment process with their company, along with all the implications that this would have. The second, to have all the tools to start the investment process: investor deck, valuation of the company, investor pitch, etc.
2024-01-24T14:55:38ZSolà Martínez, RogerThe thesis aims to obtain two main results: The first one, to provide Etecnic (Spanish company in the electric car charger sector) with an exhaustive analysis of the advantages and disadvantages of entering into an investment process with their company, along with all the implications that this would have. The second, to have all the tools to start the investment process: investor deck, valuation of the company, investor pitch, etc.Data-driven cost analysis using sensors based time series-based data
http://hdl.handle.net/2117/400193
Data-driven cost analysis using sensors based time series-based data
Orteu Irurre, Roger
Global warming has become a major issue over the last thirty years, with research being carried out to reduce the amount of pollution emitted by developing new ways of producing day-to-day needs. Vehicles, as daily transport needs are not an exception, and they are becoming more and more electric as well as automated and instrumented. Consequently, it emerges a need to develop machine learning models that can detect faults dynamically in every part of a vehicle, especially in batteries, which are the new vehicles’ fuel. As mentioned, the primary requirement is to detect battery issues, with research being conducted to establish methods to achieve them. Further, the focus is to enable early adequate maintenance decisions to maximise asset as well as business value. Nevertheless, literature on this topic is still lacking. To switch it, this research work presents a framework that clarifies which maintenance types exist as well as processes for each one when a battery fault occurs. An Excel-based tool to analyse the costs of every maintenance type is developed and a case study is employed to validate the proposed framework and toolkit. The main steps of the Excel toolkit are to choose the user’s parameters, analyse the costs of the battery fault process and visualise the results in a dashboard after a failure simulation to help in decision-making.
2024-01-24T14:54:54ZOrteu Irurre, RogerGlobal warming has become a major issue over the last thirty years, with research being carried out to reduce the amount of pollution emitted by developing new ways of producing day-to-day needs. Vehicles, as daily transport needs are not an exception, and they are becoming more and more electric as well as automated and instrumented. Consequently, it emerges a need to develop machine learning models that can detect faults dynamically in every part of a vehicle, especially in batteries, which are the new vehicles’ fuel. As mentioned, the primary requirement is to detect battery issues, with research being conducted to establish methods to achieve them. Further, the focus is to enable early adequate maintenance decisions to maximise asset as well as business value. Nevertheless, literature on this topic is still lacking. To switch it, this research work presents a framework that clarifies which maintenance types exist as well as processes for each one when a battery fault occurs. An Excel-based tool to analyse the costs of every maintenance type is developed and a case study is employed to validate the proposed framework and toolkit. The main steps of the Excel toolkit are to choose the user’s parameters, analyse the costs of the battery fault process and visualise the results in a dashboard after a failure simulation to help in decision-making.