Submitted by Kelren Mota (kelrenlima@ufpa.br) on 2018-06-18T17:11:52Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertacao_AnaliseTecnicoEconomica.pdf: 3130966 bytes, checksum: 3d1245c2d90292a4f648d162c3d95245 (MD5) / Approved for entry into archive by Kelren Mota (kelrenlima@ufpa.br) on 2018-06-18T17:16:43Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertacao_AnaliseTecnicoEconomica.pdf: 3130966 bytes, checksum: 3d1245c2d90292a4f648d162c3d95245 (MD5) / Made available in DSpace on 2018-06-18T17:16:43Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertacao_AnaliseTecnicoEconomica.pdf: 3130966 bytes, checksum: 3d1245c2d90292a4f648d162c3d95245 (MD5) Previous issue date: 2018-03-06 / Diante dos desafios propostos pela quinta geração de redes móveis, a arquitetura C-RAN (Centralized Radio Acess Network) vem ganhando espaço por oferecer suporte `a redes ultra-densas de alta capacidade de próxima geração e oferecer economias. Esta dissertação propõe uma metodologia de modelagem de TCO (Total Cost of Ownership) para C-RAN, CAPEX (Capital Expenditure), OPEX (Operational Expenditure), sendo estes, os critérios fundamentais no ramo de avaliação e projeção de investimentos. Logo é apresentado com um maior nível de detalhamento quanto aos aspectos de investimento, que são de grande relevância para o cenário de arquitetura de redes móveis de comunicação. Dessa forma, este trabalho ´e conduzido no sentido de avaliar o contexto econômico de implantação de uma arquitetura centralizada, baseando-se, principalmente, nos aspectos financeiros que operadoras de serviços necessitam planejar antes de implantar uma nova rede de acesso móvel. O modelo proposto é utilizado em um estudo de caso em que o custo total de implementação e operação das arquiteturas distribuídas e centralizadas são comparados levando em consideração diversos cenários específicos. Os resultados apontam uma economia nos cenários centralizados e destacam os aspectos econômicos mais relevantes no planejamento da C-RAN. / Upon the the challenges proposed by the fifth generation of mobile networks, the architecture of C-RAN (Centralized Radio Acess Network) has gained space by supporting high-capacity ultra-densas networks of next generation and offering economies. This dissertation proposes a TCO (Total Cost of Ownership) for C-RAN, CAPEX (Capital Expenditure), OPEX (Operational Expenditure) and these are the fundamental criteria in the field of investment assessment and projection. It is soon presented with a higher level of detailing as to the investment aspects, which are of great relevance to the architectural landscape of mobile communication networks. In this way, this work is conducted in order to evaluate the economic context of the implementation of a centralized architecture, based mainly on the financial aspects that service operators need to plan before deploying a new Mobile Access Network. The proposed model is used in a case study where the total cost of implementation and operation of the distributed and centralized architectures is compared taking into account several specific scenarios. The results point to an economy in the centralized scenarios and highlight the most relevant economic aspects in the planning of C-RAN.

This thesis analyzes actual situation of company fleet management. It describes development of road transport and influence on corporate vehicles. It provides an insight into the legislative conditions for lending cars to employees and car policy. It also focuses on posibilities of financing as are operative leasing, financial leasing, purchase from own and foreign sources. Next chapter describes total cost of ownership, which are, for example service costs, fuel, insurance and other. The thesis contains case study that analyzes development of business trips, number of pool cars and manager cars and real costs of fleet management based on actual data provided by the company. At the end of the thesis several solutions and suggestions are proposed. With these ideas could company save money and improve organization of work.

[pt] A gestão do processo de compras ganhou grande importância recentemente, tornando-se hoje um elemento essencial para as organizações empresarias. Essa gestão é um processo complexo e customizado, devido à enorme variedade de produtos e serviços comprados atualmente por uma organização. Portanto, essas empresas precisam de uma ferramenta para agrupar seus bens adquiridos de forma que se possa utilizar a mesma estratégia de compra para todos os grupos de itens com características similares. Neste sentido, muitas organizações vêm utilizando as matrizes de portfólio para ajudá-las a identificar não só o tipo de estratégia que deve ser adotada na aquisição de seus itens, mas também a profundidade da relação com o fornecedor desses itens (e.g. desenvolver ou não uma aliança estratégica). Apesar da crescente utilização dessas matrizes, a literatura ainda carece de ferramentas para ajudar as organizações a inserir seus produtos e serviços de compras em suas matrizes. Neste contexto, a presente dissertação tem como objetivo oferecer uma metodologia de elaboração de matrizes de portfólios que permita definir o que impacto no lucro e risco de suprimento (eixos da matriz) realmente significam e como uma organização pode mensurar essas dimensões. No intuito de verificar a viabilidade prática de sua aplicação, essa metodologia contou com uma ferramenta de apoio à decisão, o Processo de Análise Hierárquica – AHP, e com o Custo Total de Propriedade – TCO. A metodologia foi aplicada com sucesso em uma empresa de mídia ao longo do segundo semestre de 2008. / [en] Management of procurement process is now seen as an essential element to enterprise organizations. This management is a complex process, and customized due to the huge diversity of products and services that must be bought by any company. Therefore, each and every company needs some kind of tool to group its assets, in order to use the same procurement strategy for all groups of items sharing similar characteristics. Many companies have started to use portfolio matrix to help identifying not only the right procedure to purchase items, but also the right depth of the relationship with the people who are going to supply these items – e.g., developing the right strategy to supply or not these items through a strategic alliance. Despite the growing use of this matrix, literature still lacks tools to help organizations to insert their products and procurement services in their specific matrix. The present dissertation aims to offer a way of building a methodology able to elaborate a portfolio matrix that will disclose what profit impact and supply risk (matrix axes) really mean, and in which way any organization can evaluate these dimensions. In order to verify its practical viability, this methodology relies upon the Analytic Hierarchy Process - AHP and Total Cost of Ownership - TCO. This methodology was successfully applied on a media company along the second semester of 2008.

The thesis focuses on the benefits of company data security in Czech environment calculation based on the additional total cost of ownership for the full disk data encryption and the average expected cost for data breach. In addition to the history of encryption, basics of cryptography, information breach statistics and company data encryption common routine, the theoretical part of the thesis above all introduces the method of company data encryption cost and benefits calculation. Within the practical part of the thesis, each step of the method is customized to match the Czech environment, modified by the organization headcount and applied to three virtual companies. The results are then evaluated, the benefits of data encryption compared by the company size in the Czech environment and also the critical discussion is carried out.

[EN] Modern data centers integrate a lot of computer and electronic devices. However, some reports state that the mean usage of a typical data center is around 50% of its peak capacity, and the mean usage of each server is between 10% and 50%. A lot of energy is destined to power on computer hardware that most of the time remains idle. Therefore, it would be possible to save energy simply by powering off those parts from the data center that are not actually used, and powering them on again as they are needed. Most data centers have computing clusters that are used for intensive computing, recently evolving towards an on-premises Cloud service model. Despite the use of low consuming components, higher energy savings can be achieved by dynamically adapting the system to the actual workload. The main approach in this case is the usage of energy saving criteria for scheduling the jobs or the virtual machines into the working nodes. The aim is to power off idle servers automatically. But it is necessary to schedule the power management of the servers in order to minimize the impact on the end users and their applications. The objective of this thesis is the elastic and efficient management of cluster infrastructures, with the aim of reducing the costs associated to idle components. This objective is addressed by automating the power management of the working nodes in a computing cluster, and also proactive stimulating the load distribution to achieve idle resources that could be powered off by means of memory overcommitment and live migration of virtual machines. Moreover, this automation is of interest for virtual clusters, as they also suffer from the same problems. While in physical clusters idle working nodes waste energy, in the case of virtual clusters that are built from virtual machines, the idle working nodes can waste money in commercial Clouds or computational resources in an on-premises Cloud. / [ES] En los Centros de Procesos de Datos (CPD) existe una gran concentración de dispositivos informáticos y de equipamiento electrónico. Sin embargo, algunos estudios han mostrado que la utilización media de los CPD está en torno al 50%, y que la utilización media de los servidores se encuentra entre el 10% y el 50%. Estos datos evidencian que existe una gran cantidad de energía destinada a alimentar equipamiento ocioso, y que podríamos conseguir un ahorro energético simplemente apagando los componentes que no se estén utilizando. En muchos CPD suele haber clusters de computadores que se utilizan para computación de altas prestaciones y para la creación de Clouds privados. Si bien se ha tratado de ahorrar energía utilizando componentes de bajo consumo, también es posible conseguirlo adaptando los sistemas a la carga de trabajo en cada momento. En los últimos años han surgido trabajos que investigan la aplicación de criterios energéticos a la hora de seleccionar en qué servidor, de entre los que forman un cluster, se debe ejecutar un trabajo o alojar una máquina virtual. En muchos casos se trata de conseguir equipos ociosos que puedan ser apagados, pero habitualmente se asume que dicho apagado se hace de forma automática, y que los equipos se encienden de nuevo cuando son necesarios. Sin embargo, es necesario hacer una planificación de encendido y apagado de máquinas para minimizar el impacto en el usuario final. En esta tesis nos planteamos la gestión elástica y eficiente de infrastructuras de cálculo tipo cluster, con el objetivo de reducir los costes asociados a los componentes ociosos. Para abordar este problema nos planteamos la automatización del encendido y apagado de máquinas en los clusters, así como la aplicación de técnicas de migración en vivo y de sobreaprovisionamiento de memoria para estimular la obtención de equipos ociosos que puedan ser apagados. Además, esta automatización es de interés para los clusters virtuales, puesto que también sufren el problema de los componentes ociosos, sólo que en este caso están compuestos por, en lugar de equipos físicos que gastan energía, por máquinas virtuales que gastan dinero en un proveedor Cloud comercial o recursos en un Cloud privado. / [CAT] En els Centres de Processament de Dades (CPD) hi ha una gran concentració de dispositius informàtics i d'equipament electrònic. No obstant això, alguns estudis han mostrat que la utilització mitjana dels CPD està entorn del 50%, i que la utilització mitjana dels servidors es troba entre el 10% i el 50%. Estes dades evidencien que hi ha una gran quantitat d'energia destinada a alimentar equipament ociós, i que podríem aconseguir un estalvi energètic simplement apagant els components que no s'estiguen utilitzant. En molts CPD sol haver-hi clusters de computadors que s'utilitzen per a computació d'altes prestacions i per a la creació de Clouds privats. Si bé s'ha tractat d'estalviar energia utilitzant components de baix consum, també és possible aconseguir-ho adaptant els sistemes a la càrrega de treball en cada moment. En els últims anys han sorgit treballs que investiguen l'aplicació de criteris energètics a l'hora de seleccionar en quin servidor, d'entre els que formen un cluster, s'ha d'executar un treball o allotjar una màquina virtual. En molts casos es tracta d'aconseguir equips ociosos que puguen ser apagats, però habitualment s'assumix que l'apagat es fa de forma automàtica, i que els equips s'encenen novament quan són necessaris. No obstant això, és necessari fer una planificació d'encesa i apagat de màquines per a minimitzar l'impacte en l'usuari final. En esta tesi ens plantegem la gestió elàstica i eficient d'infrastructuras de càlcul tipus cluster, amb l'objectiu de reduir els costos associats als components ociosos. Per a abordar este problema ens plantegem l'automatització de l'encesa i apagat de màquines en els clusters, així com l'aplicació de tècniques de migració en viu i de sobreaprovisionament de memòria per a estimular l'obtenció d'equips ociosos que puguen ser apagats. A més, esta automatització és d'interés per als clusters virtuals, ja que també patixen el problema dels components ociosos, encara que en este cas estan compostos per, en compte d'equips físics que gasten energia, per màquines virtuals que gasten diners en un proveïdor Cloud comercial o recursos en un Cloud privat. / Alfonso Laguna, CD. (2015). Efficient and elastic management of computing infrastructures [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/57187 / TESIS

Le véhicule électrique est une des solutions de transport respectueuses de l’environnement, n’émettant pas de polluant lors de son utilisation. Gruau, constructeur carrossier pour véhicules utilitaires, se lance activement dans le transport écologique sur le segment de l’utilitaire 3,5t. Afin d’accroitre les ventes de véhicules utilitaires électriques, il est nécessaire d’en réduire le coût total de possession (ou TCO (Total Cost of Ownership)). L’objectif de cette thèse est d’étudier et de modéliser le comportement des composants de ce véhicule électrique pour simuler des calculs de TCO. Le composant principal étudié est la batterie, dont la durée de vie limitée conditionne la rentabilité du véhicule. La première partie des travaux fut consacrée à la modélisation du comportement du véhicule en fonction d’une mission client donnée. Une étude des cellules de batterie est réalisée dans le but de construire un modèle multi-physique complet en prenant en considération le vieillissement calendaire et le vieillissement en cyclage. Un modèle énergétique global, comprenant ce modèle batterie, permet de déterminer l’énergie nécessaire pour un parcours donné et de simuler le vieillissement des cellules électrochimiques afin de calculer le TCO. Une seconde partie est orientée vers le calcul du TCO. La mise en oeuvre d’un algorithme d’optimisation avec une méthodologie d’accélération des calculs a permis de réaliser les calculs dans des temps raisonnables (passage de 13h à 15min par itération). Après étude de l’impact du dimensionnement de la batterie sur le TCO, il en ressort que la réduction de la capacité n’entraine pas systématiquement la réduction du TCO. Il existe pour chaque mission un point de TCO optimal (jusqu’à 17% d’éconnomie). Afin d’améliorer le TCO, des stratégies de recharge intelligentes sont élaborées et permettent rentabilité accrue du VUE (jusqu’à 29%). Ce travail a été intégré dans un logiciel d’aide à la décision de la capacité de la batterie suivant les besoins du client, destiné aux forces de ventes commerciales. / The electric vehicle is one of the environmentally friendly transport solutions that emit no pollutant during its use. Gruau, manufacturer-converter for light commercial vehicles (LCV), is actively involved in green transport in the 3.5t segment. In order to increase sales of electric LCV, it is necessary to reduce its total cost of ownership (TCO). The objective of this thesis is to study and model the behavior of the components of this electric vehicle in order to simulate TCO. The main component studied is the battery, whose limited lifetime will determine the profitability of the vehicle. The first part of the work was devoted to modeling the behavior of the vehicle according to a given customer mission. The study of battery cells was done with the aim of building a complete multi-physics model taking into account calendar aging and cycling aging. Then, this battery model is integrated in a complete energy model taking into account all the components of the studied vehicle. Then a global model, including this battery model, makes it possible to determine the energy required for a given path and to simulate the aging of the electrochemical cells in order to calculate the TCO. A second part is oriented towards the calculation of the TCO. The implementation of an optimization algorithm, with a methodology of computing acceleration, allowed to achieve the computations in reasonable times (reduction from 13h to 15min by iteration). After studying the impact of battery sizing on the TCO, it appears that the reduction of the battery capacity does not systematically lead to the reduction of the TCO. There is therefore an optimum TCO point for each mission (up to 17% savings). In order to improve the TCO, smart recharging strategies are developed and allow increasing e-LCV profitability (up to 29%). This work is integrated into a decision support software relative to the battery capacity according to customer needs, intended for commercial sales forces.

The interruption cost for one hour of a petrochemical plant is 33 times higher than that of the average interruption cost for industrial plants across all industries. In addition to the high cost of loss of production, interruptions to the operations of petrochemical and gas-toliquid plants pose safety and environmental hazards. Thus it is necessary to better understand the reliability requirements of petrochemical and gas-to-liquid plants. This study investigated the reliability of electrical distribution networks used in petrochemical and gas-to-liquid plants compared to those used in other industrial plants. A model was developed that can be used to establish the adequacy of the reliability of a distribution network in terms of the components and network topologies used. This model was validated against data that had been collected by the IEEE and applied to an actual petrochemical plant. Over 19 years’ worth of data regarding the trips that have occurred on the distribution network of an existing petrochemical plant was collected and manipulated in order to calculate the reliability indices associated with the equipment used to make up thisRecommended Practice for the Design of Reliable Industrial and Commercial Power Systems. The cost of loss of production and the capital costs associated with increased reliability were calculated for a section of the existing petrochemical plant. The reliability associated with different network topologies that could possibly be used to supply power to this section of the plant were modelled using an appropriate software package. The resulting total cost of ownership over the life of the plant associated with each topology was then calculated in order to establish which network topology is the most appropriate for petrochemical and gas-to-liquid plants. It was concluded the components that affect the reliability of an industrial distribution network are different to those that affect a utility distribution network. These components were listed and compared. It was found that the reliability indices that were calculated for the components that affect the reliability of a petrochemical plant were similar to those provided by the IEEE. 17 out of 20 of the indices that were calculated were within the required factor of deviation. Generally the failure rates of components used in petrochemical plants were very similar to those given in the IEEE Gold Book, while the MTTR’s for the components used in petrochemical plants were found to be slightly better than those given in the IEEE Gold Book. The effect of network topology was found to be significant, with small changes in the topology of a network resulting in large variations in the reliability of the network. It was also found that the most appropriate type of network topology to use in the design of the electrical distribution network of a petrochemical plant is the dual radial network. This is the most conservative of the commonly used network topologies and is the one that is currently used in the existing plant that was studied. Due to the high cost of loss of production in petrochemical plants it was established that any incremental improvement in the reliability of the dual radial network would be beneficial to the total cost of ownership of such a plant. Such incremental improvement of the reliability of the distribution network could be cost effectively achieved by adopting a conservative maintenance strategy and the establishment of a conservative spares inventory. Before this study was undertaken, there was no literature around the reliability of electrical distribution networks that focused specifically on petrochemical and gas-to-liquid plants. This study produced a set of reliability indices and a model that electrical engineers can use in the reliability analysis of petrochemical and gas-to-liquid plants. Furthermore it shows that, because the cost of loss of production in petrochemical plants is so high, the most conservative distribution network design and maintenance philosophies should always be used. distribution network. These reliability indices were compared to those given by the IEEE / Dissertation (MEng)--University of Pretoria, 2013. / gm2014 / Electrical, Electronic and Computer Engineering / unrestricted

This paper discusses the current and future drivetrain perspectives of powerful mobile machines, especially in regards to TCO and drive performance. For the TCO-impact, the power losses of the components plays a big role and, if they are designed for efficiency, they have a significant and measurable influence. From the braking function point of view, this paper demonstrates not only the advantages of a valve-based over a control algorithm based solution, but also its innovative development directions towards a more sophisticated engine speed controller with optimized heat conversion into the oil. Also for the drivetrain subsystems, innovative components are discussed, like the hybrid control, combining the benefits of a non-feedback and a displacement control in one single assembly, or the variable charge system for further reduced energy consumption of the overall drivetrain.

Purpose. In Sweden, private commuting accounts for two third of total transportation emissions and 21% of the country’s total. To become net-zero by 2045, Sweden plans to have 2 million electric cars on the roads by 2030. Whereas with current pace, there will be 1 million electric cars by the end of the decade. Cars registered before 2016 (referred to as old cars in the study) make up nearly half of the Swedish car fleet. Thus, replacing the old emission intensive cars with the modern lower or zero emission cars will catalyze the decarbonization of Swedish transport sector. Therefore, the purpose of this study is to probe if it is economical to keep using an old car in the future or to replace it with a new one. Methods. This study first compares the next 13-year Total Cost of Ownership (TCO) of old V70 (having current milage 200,000 km) with that of new replacement cars. The (selected) replacement are the most registered modern-day cars in Sweden by fuel type having same size as that of V70: V60 (ICE), V60 (PHEV) and Tesla Model 3 (BEV). Moreover, using TCO framework, the study also estimates if the replacement is more economical now or sometime in the future with either new replacement cars or their (4-year) used models. Results. The results show that for next 13-years in Sweden, it is more economical to replace the old V70 with any of the replacement cars. However, Tesla Model 3 is the cheapest option among the new cars and V60 (PHEV) among the used cars. Overall, it is more economical to replace with a used car. In addition, the replacement is most economical if done immediately (in 2022) and gets more expensive by each year of delay- because the owner will have to incur relatively higher V70 costs (vis-à-vis the replacement cars) for an additional year. Sensitivity analysis shows that with higher current salvage value, a V70 gets more expensive to own in next 13 years (due to higher depreciation) whereas the replacement becomes cheaper (utilizing higher salvage value to buy the replacement car). Discussion. The study can be expanded to suggest economical and emission efficient replacement options for other old cars to accelerate the decarbonization of Swedish private transport sector. Furthermore, this study was done in collaboration with Mekonomen Group to see the financial worth of old ICE car replacement by its customers. The study results reinforce the group’s diversification strategy from ICE cars-oriented business model to BEVs as the top focus. Finally, this study is based on the assumption that the total number of cars in Sweden will not increase in future- the old gets replaced by the new. Therefore, from a holistic perspective, the study discusses that a sustainable transportation model should move away from private ownership towards shared mobility to avoid the rebound effects of technological efficiency that increase the overall resource consumption.

The major barriers to a more widespread introduction of battery electric vehicles (BEVs) beyond early adopters are the limited range, charging limitations, and costly batteries. An important question is therefore where these effects can be most effectively mitigated. An optimization model is developed to estimate the potential for BEVs to replace one of the conventional cars in two-car households and to viably contribute to the households’ driving demand. It uses data from 1 to 3 months of simultaneous GPS logging of the movement patterns for both cars in 64 commuting Swedish two-car households in the Gothenburg region. The results show that, for home charging only, a flexible vehicle use strategy can considerably increase BEV driving and nearly eliminate the unfulfilled driving in the household due to the range and charging limitations with a small battery. The present value of this flexibility is estimated to be on average $6000–$7000 but varies considerably between households. With possible near-future prices for BEVs based on mass production cost estimates, this flexibility makes the total cost of ownership (TCO) for a BEV advantageous in almost all the investigated households compared to a conventional vehicle or a hybrid electric vehicle. Because of the ubiquity of multi-car households in developed economies, these families could be ideal candidates for the initial efforts to enhance BEV adoptions beyond the early adopters. The results of this research can inform the design and marketing of cheaper BEVs with small but enough range and contribute to increased knowledge and awareness of the suitability of BEVs in such households.