892 resultados para Energy consumption -- Computer simulation


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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e de Computadores

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Dissertação de mestrado integrado em Engenharia Civil

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Climate change is a crisis that is going to affect all of our lives in the future. Ireland is expected to have increased storms and rain throughout the country. This will affect our lives greatly unless we do something to change it. In an attempt to try and reduce the impacts of climate change, countries across the world met to address the problem. The meeting became known as the Kyoto Protocol. The Kyoto protocol set out objectives for each developed country to achieve with regards to carbon emissions to the same levels as 1990 levels. Due to the economy in Ireland being at a low point in 1990, Ireland was given a target of 13% carbon emissions above 1990 levels. In order to meet targets Ireland produced two energy papers, the green paper and the white paper. The green paper identified drivers for energy management and control; they were security of energy supply, economic competitiveness and environmental protection. The white paper produced targets in which we should aim to achieve to try and address the green papers drivers. Within the targets was the plan to reduce energy consumption in the public sector by 33% by 2020 through energy conservation measures. Schools are part of the public sector that has targets to reduce its energy consumption. To help to achieve targets in schools initiatives have been developed by the government for schools. Energy audits should be performed in order to identify areas where the schools can improve their current trends and show where they can invest in the future to save money and reduce the schools overall environmental footprint. Grants are available for the schools for insulation through the energy efficiency scheme and for renewable energy technologies through the ReHeat scheme. The promotion of energy efficient programs in schools can have a positive effect for students to have an understanding. The Display Energy Certificate is a legal document that can be used to understand how each school is performing from an energy perspective. It can help schools to understand why they need to change their current energy management structure. By improving the energy management of the schools they then improve the performance on the Display Energy Certificate. Schools should use these tools wisely and take advantage of the grants available which can in the short to long term help them to save money and reduce their carbon footprint.

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Energy management is the process of monitoring, controlling and conserving energy in a building or organisation. The main reasons for this are for cost purposes and benefit to the environment. Through various techniques and solutions for lighting, heating, office equipment, the building fabric etc along with a change in people’s attitudes there can be a substantial saving in the amount spent on energy. A good example o f energy waste in GMIT is the lighting situation in the library. All the lights are switched on all day on even in places where that is adequate daylighting, which is a big waste o f energy. Also the lights for book shelves are left on. Surely all these books won’t be searched for all at the one time. It would make much more sense to have local switches that the users can control when they are searching for a particular book. Heating controls for the older parts o f the college are badly needed. A room like 834 needs a TRV to prevent it from overheating as temperatures often reach the high twenties due to the heat from the radiators, computers, solar gains and heat from users o f the room. Also in the old part o f the college it is missing vital insulation, along with not being air tight due to the era when it was built. Pumped bonded bead insulation and sealant around services and gaps can greatly improve the thermal performance o f the building and help achieve a higher BER cert. GMIT should also look at the possibility o f installing a CHP plant to meet the base heating loads. It would meet the requirement o f running 4500 hours a year and would receive some financial support from the Accelerated Capital Allowance. I f people’s attitudes are changed through energy awareness campaigns and a few changes made for more energy efficient equipment, substantial savings can be made in the energy expenditure.

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As manufacturers face an increasingly competitive environment, they seek out opportunities to reduce production costs without negatively affecting the yield or the quality of their finished products. The challenge of maintaining high product quality while simultaneously reducing production costs can often be met through investments in energy efficient technologies and energy efficiency practices. Energy management systems can offer both technological and best practice efficiencies in order to achieve substantial savings. A strong energy management system provides a solid foundation for an organisation to reduce production costs and improve site efficiency. The I.S EN16001 energy management standard specifies the requirements for establishing, implementing, maintaining and improving an energy management system and represents the latest best practice for energy management in Ireland. The objective of the energy management system is to establish a systematic approach for improving energy performance continuously. The I.S EN16001 standard specifies the requirements for continuous improvement through using energy more efficiently. The author analysed how GlaxoSmithKline’s (GSK) pharmaceutical manufacturing facility in Cork implemented the I.S. EN16001 energy management system model, and defined how energy saving opportunities where identified and introduced to improve efficiency performance. The author performed an extensive literature research in order to determine the current status of the pharmaceutical industry in Ireland, the processes involved in pharmaceutical manufacturing, the energy users required for pharmaceutical manufacturing and the efficiency measures that can be applied to these energy users in order to reduce energy consumption. The author then analysed how energy management standards are introduced to industry and critically analysed the driving factors for energy management performance in Ireland through case studies. Following an investigation as to how the I.S. EN16001 energy management standard is operated in GSK, a critical analysis of the performance achieved by the GSK energy management system is undertaken in order to determine if implementing the I.S EN16001 standard accelerates achieving energy savings. Since its introduction, the I.S. EN16001 model for energy management has enabled GSK to monitor, target and identify energy efficiency opportunities throughout the site. The model has put in place an energy management system that is continuously reviewed for improvement and to date has reduced GSK’s site operations cost by over 30% through technical improvements and generating energy awareness for smarter energy consumption within the GSK Cork site. Investment in I.S. EN16001 has proved to be a sound business strategy for GSK especially in today's manufacturing environment.

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Report for the scientific sojourn carried out at the Model-based Systems and Qualitative Reasoning Group (Technical University of Munich), from September until December 2005. Constructed wetlands (CWs), or modified natural wetlands, are used all over the world as wastewater treatment systems for small communities because they can provide high treatment efficiency with low energy consumption and low construction, operation and maintenance costs. Their treatment process is very complex because it includes physical, chemical and biological mechanisms like microorganism oxidation, microorganism reduction, filtration, sedimentation and chemical precipitation. Besides, these processes can be influenced by different factors. In order to guarantee the performance of CWs, an operation and maintenance program must be defined for each Wastewater Treatment Plant (WWTP). The main objective of this project is to provide a computer support to the definition of the most appropriate operation and maintenance protocols to guarantee the correct performance of CWs. To reach them, the definition of models which represent the knowledge about CW has been proposed: components involved in the sanitation process, relation among these units and processes to remove pollutants. Horizontal Subsurface Flow CWs are chosen as a case study and the filtration process is selected as first modelling-process application. However, the goal is to represent the process knowledge in such a way that it can be reused for other types of WWTP.

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This work describes the ab initio procedure employed to build an activation model for the alpha 1b-adrenergic receptor (alpha 1b-AR). The first version of the model was progressively modified and complicated by means of a many-step iterative procedure characterized by the employment of experimental validations of the model in each upgrading step. A combined simulated (molecular dynamics) and experimental mutagenesis approach was used to determine the structural and dynamic features characterizing the inactive and active states of alpha 1b-AR. The latest version of the model has been successfully challenged with respect to its ability to interpret and predict the functional properties of a large number of mutants. The iterative approach employed to describe alpha 1b-AR activation in terms of molecular structure and dynamics allows further complications of the model to allow prediction and interpretation of an ever-increasing number of experimental data.

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L’objectiu de la recerca és definir un marc teòric i metodològic per a l’estudi del canvi tecnològic en Arqueologia. Aquest model posa èmfasi en caracteritzar els compromisos que configuren una tecnologia i avaluar-los en funció dels factors de situació —tècnics, econòmics, polítics, socials i ideològics. S’ha aplicat aquest model a un cas d’estudi concret: la producció d’àmfores romanes durant el canvi d’Era en la província Tarraconensis. L’estudi tecnològic dels envasos s’ha realitzat mitjançant diverses tècniques analítiques: Fluorescència de raigs X (FRX), Difracció de raigs X (DRX), Microscòpia òptica (MO) i Microscòpia electrònica de rastreig (MER). Les dades obtingudes permeten, a més, establir els grups de referència per a cada centre productor d’àmfores i, així, identificar la provinença dels individus recuperats en els centres consumidors. Donat que les àmfores en estudi són artefactes dissenyats específicament per a ser estibats en una nau i servir com a envàs de transport, l’estudi inclou la caracterització de les propietats mecàniques de resistència a la fractura i de tenacitat. En aquest sentit, i per primera vegada, s’ha aplicat l’Anàlisi d’Elements Finits (AEF) per a conèixer el comportament dels diferents dissenys d’àmfora en ésser sotmesos a diverses forces d’ús. L’AEF permet simular per ordinador les activitats en què les àmfores haurien participat durant el seu ús i avaluar-ne el seu comportament tècnic. Els resultats mostren una gran adequació entre les formulacions teòriques i el programa analític implementat per a aquest estudi. Respecte el cas d’estudi, els resultats mostren una gran variabilitat en les eleccions tecnològiques preses pels ceramistes de diferents tallers, però també al llarg del període de funcionament d’un mateix taller. L’aplicació del model ha permès proposar una explicació al canvi de disseny de les àmfores romanes.

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This paper applies the so-called Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) to the economy of the Spanish region of Catalonia. By applying Georgescu-Roegen's fund-flow model, it arrives at the conclusion that within a context of the end of cheap oil, the current development model based on the growth of low productivity sectors such as services and construction must change. The change is needed not only because of the increasing scarcity of affordable energy carriers, or because of the increasing environmental impact that the present development represents, but also because of an ageing population that demands labour productivity gains. This will imply industry requiring more energy consumption per worker in order to increase its productivity, and therefore its competitiveness. Thus, we conclude that energy intensity, and exosomatic energy metabolism of Catalonia will increase dramatically in the near future unless major conservation efforts are implemented in both the household and transport sectors.

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It has been long recognized that highly polymorphic genetic markers can lead to underestimation of divergence between populations when migration is low. Microsatellite loci, which are characterized by extremely high mutation rates, are particularly likely to be affected. Here, we report genetic differentiation estimates in a contact zone between two chromosome races of the common shrew (Sorex araneus), based on 10 autosomal microsatellites, a newly developed Y-chromosome microsatellite, and mitochondrial DNA. These results are compared to previous data on proteins and karyotypes. Estimates of genetic differentiation based on F- and R-statistics are much lower for autosomal microsatellites than for all other genetic markers. We show by simulations that this discrepancy stems mainly from the high mutation rate of microsatellite markers for F-statistics and from deviations from a single-step mutation model for R-statistics. The sex-linked genetic markers show that all gene exchange between races is mediated by females. The absence of male-mediated gene flow most likely results from male hybrid sterility.

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In this paper, we use CGE modelling techniques to identify the impact on energy use of an improvement in energy efficiency in the household sector. The main findings are that 1) when the price of energy is measured in natural units, the increase in efficiency yields only to a modification of tastes, changing as a result, the composition of household consumption; 2) when households internalize efficiency, the improvement in energy efficiency reduces the price of energy in efficiency units, providing a source of improved competitiveness as the nominal wage and the price level both fall; 3) the short-run rebound can be greater than the long run rebound if the household demand elasticity is the same for both time frames, however, the short run rebound is always lower than in the long-run if the demand for energy is relatively more elastic in the long-run; 4) the introduction of habit formation changes the composition of household consumption, modifying the magnitude of the household rebound only in the short-run. In this period, household and economy wide rebound are lowest for external habit formation and highest when consumers’ preferences are defined using a conventional utility function.

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The aim of the paper is to identify the added value from using general equilibrium techniques to consider the economy-wide impacts of increased efficiency in household energy use. We take as an illustrative case study the effect of a 5% improvement in household energy efficiency on the UK economy. This impact is measured through simulations that use models that have increasing degrees of endogeneity but are calibrated on a common data set. That is to say, we calculate rebound effects for models that progress from the most basic partial equilibrium approach to a fully specified general equilibrium treatment. The size of the rebound effect on total energy use depends upon: the elasticity of substitution of energy in household consumption; the energy intensity of the different elements of household consumption demand; and the impact of changes in income, economic activity and relative prices. A general equilibrium model is required to capture these final three impacts.

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The link between energy consumption and economic growth has been widely studied in the economic literature. Understanding this relationship is important from both an environmental and a socio-economic point of view, as energy consumption is crucial to economic activity and human environmental impact. This relevance is even higher for developing countries, since energy consumption per unit of output varies through the phases of development, increasing from an agricultural stage to an industrial one and then decreasing for certain service based economies. In the Argentinean case, the relevance of energy consumption to economic development seems to be particularly important. While energy intensity seems to exhibit a U-Shaped curve from 1990 to 2003 decreasing slightly after that year, total energy consumption increases along the period of analysis. Why does this happen? How can we relate this result with the sustainability debate? All these questions are very important due to Argentinean hydrocarbons dependence and due to the recent reduction in oil and natural gas reserves, which can lead to a lack of security of supply. In this paper we study Argentinean energy consumption pattern for the period 1990-2007, to discuss current and future energy and economic sustainability. To this purpose, we developed a conventional analysis, studying energy intensity, and a non conventional analysis, using the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) accounting methodology. Both methodologies show that the development process followed by Argentina has not been good enough to assure sustainability in the long term. Instead of improving energy use, energy intensity has increased. The current composition of its energy mix, and the recent economic crisis in Argentina, as well as its development path, are some of the possible explanations.

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BACKGROUND: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncover the components and the connectivity of these networks, it becomes possible to study their dynamical behavior as a whole and discover what is the specific role of each of their components. Since the behavior of a network is by no means intuitive, it becomes necessary to use computational models to understand its behavior and to be able to make predictions about it. Unfortunately, most current computational models describe small networks due to the scarcity of kinetic data available. To overcome this problem, we previously published a methodology to convert a signaling network into a dynamical system, even in the total absence of kinetic information. In this paper we present a software implementation of such methodology. RESULTS: We developed SQUAD, a software for the dynamic simulation of signaling networks using the standardized qualitative dynamical systems approach. SQUAD converts the network into a discrete dynamical system, and it uses a binary decision diagram algorithm to identify all the steady states of the system. Then, the software creates a continuous dynamical system and localizes its steady states which are located near the steady states of the discrete system. The software permits to make simulations on the continuous system, allowing for the modification of several parameters. Importantly, SQUAD includes a framework for perturbing networks in a manner similar to what is performed in experimental laboratory protocols, for example by activating receptors or knocking out molecular components. Using this software we have been able to successfully reproduce the behavior of the regulatory network implicated in T-helper cell differentiation. CONCLUSION: The simulation of regulatory networks aims at predicting the behavior of a whole system when subject to stimuli, such as drugs, or determine the role of specific components within the network. The predictions can then be used to interpret and/or drive laboratory experiments. SQUAD provides a user-friendly graphical interface, accessible to both computational and experimental biologists for the fast qualitative simulation of large regulatory networks for which kinetic data is not necessarily available.

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The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.