990 resultados para Capacity expansion costs
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Plantation spacing selection has the primary objective of assigning each tree enough space for maximum growth and best quality to be attained with a minimum cost. From the harvest standpoint, an increase in stand density directly implies a decrease of individual tree volume, reducing also harvester productive capacity. The objective of this research is to assess the effects of several initial spacings and arrangements in eucalyptus plantations on production capacity, operational capacity and costs of forest harvester. Real operational data were collected from two eucalypt plantations at different initial spacing of 6.0, 7.5, 9.0, 12 and 18 m(2) per tree. Simulation data were obtained from a forest harvester simulator. Using spacing (E), mean tree volume (MV), diameter at breast height (DBH) and height (H) values, a stepwise regression test procedure was run, and correlations computed in order to measure their participation in operational capacity. Operational costs were computed with an accounting method proposed by FAO. Mean tree volume (MV) explained 88% of forest harvester operational capacity. Spacing (E) affected 8.5% of harvester operational capacity; wider spacings were related to higher individual tree volumes. Harvesting operation costs were lower in wider spaced treatments.
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With the current enzootic circulation of highly pathogenic avian influenza viruses, the ability to increase global pandemic influenza vaccine production capacity is of paramount importance. This has been highlighted by, and is one of the main pillars of, the WHO Global Action Plan for Influenza Vaccines (GAP). Such capacity expansion is especially relevant in developing countries. The Vaccine Formulation Laboratory at University of Lausanne is engaged in the technology transfer of an antigen-sparing oil-in-water adjuvant in order to empower developing countries vaccine manufacturers to increase pandemic influenza vaccine capacity. In a one-year project funded by United States Department of Health and Human Services, the Vaccine Formulation Laboratory transferred the process know-how and associated equipment for the pilot-scale manufacturing of an oil-in-water adjuvant to Bio Farma, Indonesia's state-owned vaccine manufacturer, for subsequent formulation with H5N1 pandemic influenza vaccines. This paper describes the experience acquired and lessons learnt from this technology transfer project.
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Executive Summary Electricity is crucial for modern societies, thus it is important to understand the behaviour of electricity markets in order to be prepared to face the consequences of policy changes. The Swiss electricity market is now in a transition stage from a public monopoly to a liberalised market and it is undergoing an "emergent" liberalisation - i.e. liberalisation taking place without proper regulation. The withdrawal of nuclear capacity is also being debated. These two possible changes directly affect the mechanisms for capacity expansion. Thus, in this thesis we concentrate on understanding the dynamics of capacity expansion in the Swiss electricity market. A conceptual model to help understand the dynamics of capacity expansion in the Swiss electricity market is developed an explained in the first essay. We identify a potential risk of imports dependence. In the second essay a System Dynamics model, based on the conceptual model, is developed to evaluate the consequences of three scenarios: a nuclear phase-out, the implementation of a policy for avoiding imports dependence, and the combination of both. We conclude that the Swiss market is not well prepared to face unexpected changes of supply and demand, and we identify a risk of imports dependence, mainly in the case of a nuclear phase-out. The third essay focus on the opportunity cost of hydro-storage power generation, one of the main generation sources in Switzerland. We use and extended version of our model to test different policies for assigning an opportunity cost to hydro-storage power generation. We conclude that the preferred policies are different for different market participants and depend on market structure.
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Diplomityön tavoitteena oli selvittää sahayrityksen tuotantokapasiteetin laajentamisen taloudellisia edellytyksiä, rajoitteita ja seurauksia. Teoriaosassa määritellään ensimmäiseksi kasvukykyinen yritys, joka on kannattava, maksuvelvoitteista suoriutuva ja vakavarainen. Toiseksi analysoidaan, kuinka tuotantovolyymin kasvattaminen näkyy sahan taseessa käyttöomaisuuden ja käyttöpääoman kasvuna. Kolmanneksi tarkastellaan vieraan pääoman tarvetta ja pääomakustannusten vaikutusta kapasiteettilaajennuksen kannattavuuteen.Neljänneksi tarkastellaan tuotantokapasiteetin laajentamisen kannattavuutta, kun käyttöomaisuutta hankitaan vuokraamalla tai toimintoja ulkoistetaan. Teoriaosan lopuksi määritellään periaatteet, kuinka nopeasti yritys voi kasvattaa liiketoimintaa vaarantamatta maksuvalmiutta, vakavaraisuutta ja kannattavuutta. Empiriaosassa tutkitaan 22 suomalaisen sahan tillinpäätöstietoja vuodelta 2003 ja kuvataan, miten erot kokoluokassa vaikuttavat sahojen kustannus- ja taserakenteeseen.Taseen osalta mittakaavaetua ei ollut havaittavissa. Tuloslaskelman osalta mittakaavaetua saavutettiin henkilökulujen osalta sahoilla, joiden liikevaihto asettui välille 15 - 25 Meur. Muilta osin pääoma- ja kustannuserät joko kasvoivat vakioisesti tai vaihtelivat satunnaisesti. Maksuvalmius perustui sahatoimialalla pääasiassa ostovelkojen ja muun lyhytaikaisen vieraan pääoman käyttöön.
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Approaches to natural resource management emphasise the importance of involving local people and institutions in order to build capacity, limit costs, and achieve environmental sustainability. Governments worldwide, often encouraged by international donors, have formulated devolution policies and legal instruments that provide an enabling environment for devolved natural resource management. However, implementation of these policies reveals serious challenges. This article explores the effects of limited involvement of local people and institutions in policy development and implementation. An in-depth study of the Forest Policy of Malawi and Village Forest Areas in the Lilongwe district provides an example of externally driven policy development which seeks to promote local management of natural resources. The article argues that policy which has weak ownership by national government and does not adequately consider the complexity of local institutions, together with the effects of previous initiatives on them, can create a cumulative legacy through which destructive resource use practices and social conflict may be reinforced. In short, poorly developed and implemented community based natural resource management policies can do considerably more harm than good. Approaches are needed that enable the policy development process to embed an in-depth understanding of local institutions whilst incorporating flexibility to account for their location-specific nature. This demands further research on policy design to enable rigorous identification of positive and negative institutions and ex-ante exploration of the likely effects of different policy interventions.
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The top managers of a biotechnology startup firm agreed to participate in a system dynamics modeling project to help them think about the firm's growth strategy. The article describes how the model was created and used to stimulate debate and discussion about growth management. The paper highlights several novel features about the process used for capturing management team knowledge. A heavy emphasis was placed on mapping the operating structure of the factory and distribution channels. Qualitative modeling methods (structural diagrams, descriptive variable names, and friendly algebra) were used to capture the management team's descriptions of the business. Simulation scenarios were crafted to stimulate debate about strategic issues such as capacity allocation, capacity expansion, customer recruitment, customer retention, and market growth, and to engage the management team in using the computer to design strategic scenarios. The article concludes with comments on the impact of the project.
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In the past, the focus of drainage design was on sizing pipes and storages in order to provide sufficient network capacity. This traditional approach, together with computer software and technical guidance, had been successful for many years. However, due to rapid population growth and urbanisation, the requirements of a “good” drainage design have also changed significantly. In addition to water management, other aspects such as environmental impacts, amenity values and carbon footprint have to be considered during the design process. Going forward, we need to address the key sustainability issues carefully and practically. The key challenge of moving from simple objectives (e.g. capacity and costs) to complicated objectives (e.g. capacity, flood risk, environment, amenity etc) is the difficulty to strike a balance between various objectives and to justify potential benefits and compromises. In order to assist decision makers, we developed a new decision support system for drainage design. The system consists of two main components – a multi-criteria evaluation framework for drainage systems and a multi-objective optimisation tool. The evaluation framework is used for the quantification of performance, life-cycle costs and benefits of different drainage systems. The optimisation tool can search for feasible combinations of design parameters such as the sizes, order and type of drainage components that maximise multiple benefits. In this paper, we will discuss real-world application of the decision support system. A number of case studies have been developed based on recent drainage projects in China. We will use the case studies to illustrate how the evaluation framework highlights and compares the pros and cons of various design options. We will also discuss how the design parameters can be optimised based on the preferences of decision makers. The work described here is the output of an EngD project funded by EPSRC and XP Solutions.
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Com o aumento do número de gestores especializados em um número cada vez maior de possibilidades de investimentos na indústria de fundos brasileira, os fundos Multigestor se tornaram uma alternativa para os investidores que procuram diversificar seus investimentos e delegam às instituições financeiras o trabalho de alocar os recursos dentro das diferentes estratégias e fundos existentes no mercado. O intuito deste estudo é avaliar a capacidade de gerar retornos anormais (alfa) dos fundos de fundos da indústria brasileira, classificados como Fundos Multimercados Multigestor. Para isso foi estudada uma amostra com 1.421 fundos Multigestor com tributação de Longo Prazo no período de janeiro de 2005 a dezembro de 2011. A análise dos resultados encontrados através de regressões de modelos de vários fatores, derivados do modelo de Jensen (1968), sugere que apenas 3,03% dos fundos estudados conseguem adicionar valor a seus cotistas. Foram estudadas ainda as três principais fontes potenciais de geração de alfa dos fundos de fundos, a escolha das estratégias que compõe a carteira do fundo (alocação estratégica), a antecipação de movimentos de mercado (market timing) e a capacidade selecionar os melhores fundos dentro de cada estratégia (seleção de fundos). A partir da inclusão de termos quadráticos, conforme proposto pelos modelos de Treynor e Mazuy (1966) pode-se verificar que os fundos Multigestor, em média, não conseguem adicionar valor tentando antecipar movimentos de mercado (market timing). Através da construção de uma variável explicativa com a composição estratégica de cada fundo da amostra em cada período de tempo, pode-se verificar que os gestores de fundos de fundos, em média, também fracassam ao tentar selecionar os melhores fundos/gestores da indústria. Já a escolha das estratégias que compõe a carteira do fundo (alocação estratégica) mostrou contribuir positivamente para o retorno dos fundos. Ainda foi avaliada a capacidade de gerar alfa antes dos custos, o que elevou o percentual de fundos com alfa positivo para 6,39% dos fundos estudados, mas foi incapaz de alterar o sinal do alfa médio, que permaneceu negativo.
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The Family Scolarship Program while public politics of intersectorial form developed by Social Development Department and Famine Combat having with partner the Education Department and Health Department inaugurate in the country a new integrity way of the public politics, reinforcing a precept of 2004 Social Protection National Politics (PNAS 2004) that places the social protection while allied to the social and human development. The research INCOME TRANSFER AND LOCAL DEVELOPMENT: the family scolarship program in Pedra Grande-RN municipally had as aim to avaluate the permanent Family Scolarship Program as a possible element in local development of Pedra Grande-RN municipally understood as capacity expansion and improvement of life quality from its users. For this means we elaborate specifically the families` socio-economical profile; we avaluate the program repercussion in these families` lives; we analyse in which proportion occurred the capacity expansion and improvement of life quality of the users. The methodologic process was constituted by: literarture review about Income Transfer, Social Vulnerability, Development and Public Politics Avaluation to the criation of a theoric picture analysis. The documental research joined to the Social Development Department and Famine Combat of Pedra Grande Municipally Hall to obtain of the aims, program goals, and the profile of users. And finally, carrying out the interviews with the managers and experts of the Municipally Program and focal groups with the users to avaluate the permanent of the Program starting by the points of view of those ones. It was verified that the program expand the capacity (food, consumer goods and services, bank services access and wages) and improvement in life quality of the users. Nevertheless, there are deficiencies in coming with conditionality and from the use of resources the by families users
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In this work, a heuristic model for integrated planning of primary distribution network and secondary distribution circuits is proposed. A Tabu Search (TS) algorithm is employed to solve the planning of primary distribution networks. Evolutionary Algorithms (EA) are used to solve the planning model of secondary networks. The planning integration of both networks is carried out by means a constructive heuristic taking into account a set of integration alternatives between these networks. These integration alternatives are treated in a hierarchical way. The planning of primary networks and secondary distribution circuits is carried out based on assessment of the effects of the alternative solutions in the expansion costs of both networks simultaneously. In order to evaluate this methodology, tests were performed for a real-life distribution system taking into account the primary and secondary networks.
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This work, based in a patent request at INPI, protocol no. 020110035974, presents a system development using solar panels to supply the electricity demand required by punctual loads, without a storage unit or utility grid synchronism, through a control circuit that allows parallel operation with the power grid during low sunlight incidence periods. A study about solar panel construction and topologies for Power generation was done, in a atempt to evalute impacts in project. This development was modular, providing the system the possibility of power capacity expansion and load diversity as well, in an attempt to reduce the total energy requirements from the residential sector drained from the power grid along the day
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Engenharia Mecânica - FEIS
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This paper presents the development of a mathematical model to optimize the management and operation of the Brazilian hydrothermal system. The system consists of a large set of individual hydropower plants and a set of aggregated thermal plants. The energy generated in the system is interconnected by a transmission network so it can be transmitted to centers of consumption throughout the country. The optimization model offered is capable of handling different types of constraints, such as interbasin water transfers, water supply for various purposes, and environmental requirements. Its overall objective is to produce energy to meet the country's demand at a minimum cost. Called HIDROTERM, the model integrates a database with basic hydrological and technical information to run the optimization model, and provides an interface to manage the input and output data. The optimization model uses the General Algebraic Modeling System (GAMS) package and can invoke different linear as well as nonlinear programming solvers. The optimization model was applied to the Brazilian hydrothermal system, one of the largest in the world. The system is divided into four subsystems with 127 active hydropower plants. Preliminary results under different scenarios of inflow, demand, and installed capacity demonstrate the efficiency and utility of the model. From this and other case studies in Brazil, the results indicate that the methodology developed is suitable to different applications, such as planning operation, capacity expansion, and operational rule studies, and trade-off analysis among multiple water users. DOI: 10.1061/(ASCE)WR.1943-5452.0000149. (C) 2012 American Society of Civil Engineers.
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O bin picking é um processo de grande interesse na indústria, uma vez que permite maior automatização, aumento da capacidade de produção e redução dos custos. Este tem vindo a evoluir bastante ao longo dos anos e essa evolução fez com que sistemas de perceção 3D começassem a ser implementados. Este trabalho tem como principal objetivo desenvolver um sistema de bin picking usando apenas perceção 3D. O sistema deve ser capaz de determinar a posição e orientação de objetos com diferentes formas e tamanhos, posicionados aleatoriamente numa superfície de trabalho. Os objetos utilizados para fazer os testes experimentais, são esferas, cilindros e prismas, uma vez que abrangem as formas geométricas existentes em muitos produtos submetidos a bin picking. Após a identi cação e seleção do objeto a apanhar, o manipulador deve autonomamente posicionar-se para fazer a aproximação e recolha do mesmo. A aquisição de dados é feita através de uma câmara Kinect. Dos dados recebidos apenas são trabalhados os referentes à profundidade, centrando-se assim este trabalho na análise e tratamento de nuvem de pontos. O sistema desenvolvido cumpre com os objetivos estabelecidos. Consegue localizar e apanhar objetos em várias posições e orientações. Além disso apresenta uma velocidade de processamento compatível com a aplicação em causa.