Дисертації з теми "Sewer design Cost effectiveness"

In the planning and design of sewer networks, most of the decisions are spatially dependent because of the right of way considerations and the desire to have flow by gravity. This research addresses the application of combined optimization-geographic information system (GIS) technology in the design process. The program developed for the design uses selected manhole locations to generate the candidate potential sewer networks. The design area is delineated into subwatersheds for determining the locations for lift stations when gravity flow is not possible. Flows from upstream subwatersheds are transported to the downstream subwatersheds via a force main. The path and destination of each force main in the system is determined by applying the Dijkstra's shortest path algorithm to select the least cost path from a set of potential paths. This method seeks to minimize the total dynamic head. A modified length is used to represent the length of each link or force main segment. The modified length is the physical length of the link (representing the friction loss) plus an equivalent length (representing the static head). The least cost path for the force main is the path with the least total modified length. The design approach is applied to two areas in the town of Blacksburg, Virginia. The resulting network and the force main paths are discussed.

Master of Science

This study set out to develop an aircraft design methodology, which gives com- bat aircraft more operational and cost-effectiveness by considering these factors early in the design process. In this methodology, an aircraft will be considered as a sub-system of an overall system, representing an entire operation scenario. Measures of operational and operational cost-effectiveness indicate the quality of, and relationships between, the major design aspects; i. e. susceptibility, vulnerability, reliability, maintainability, and operational cost. These measures are functions of aircraft measures of performance and measures of effectiveness. A mission operation simulation was developed as the transfor- mation tool, to performance and effectiveness measures. The measures of aircraft performance developed in this methodology have been evalu- ated by simple, yet sufficient, models because of the paucity of available data, information and the appropriateness of such assessment methods during the early design stages. An aircraft performance in susceptibility terms is measured both in the forms of probability of detection, which is predicted through its radar cross section (RCS), and probability of hit. The RCS prediction model in this study generally uses an aircraft's external shape, and the probability of hit is also evaluated from the aircraft presented areas. The probability of kill is a measure of aircraft performance used the vulnerability design methods. This value relates directly to number and sizes of the critical components installed in the aircraft, and their layout. The modification of the critical component layout can directly affect the aircraft probability of kill. In this study, only two major threat types are considered; i. e. contact and proximity warheads. Manoeuvrability probability has been introduced, and been used together with the sus- ceptibility and vulnerability probabilities to predict the overall operational survivability probability in this study. Aircraft reliability and some maintainability probabilities are predicted by using avail- able unclassified data and fundamental aircraft design parameters and variables by dint of statistical analysis and the Pareto principle. Operational cost in this methodology is calculated throughout the aircraft Life Cycle Cost (LCC) by averaging the total operation cost over the total number of operational aircraft in one base and total number of flying hours for an aircraft fleet's entire life. The average operation cost in conjunction with the number of aircraft lost and of weapons released during the mission simulation gives the total operational cost for the overall scenario. An alternative method used to integrate all probabilities into the operation mission simulation is by using the reliability block diagram technique in conjunction with an event tree diagram. The Monte Carlo simulation technique has been used to generate more accurate results by means of random value usage. Most results from the operation mission simulation are in the form of integer num- bers; therefore, the genetic algorithm optimisation method was mainly used in this study. However, the gradient-based optimisation method can also be used to give approximate predictions. The results from the optimisation can finally be used as examples of how to design a combat aircraft for operational and cost-effectiveness.

The thesis project explores the use of an optimization methodology for selecting the lowest monetary cost combinations of technologies to meet a set operational energy efficiency targets for buildings. The optimization approach, which is operated on a normative energy model, is compared with existing prescriptive methodologies for selecting technology combinations and a metric is developed for ranking their effectiveness; the E/C Ratio. The energy savings/ cost ratio is also the objective function that the optimization algorithm is set to maximize. The optimization routine is coded in to a custom MATLAB script and is used in two case studies to optimize a proto-typical Korean apartment and office building. The optimization methodology finds technology combinations that are much more cost effective than the prescriptive methodology at meeting an energy savings target and can generically be applied to other buildings given a palette of technology alternatives and the corresponding cost data.

Control of groundwater plays an important part in operations at many open pit mines. Selection of an efficient and cost effective dewatering program that will improve slope stability of the pit walls is frequently complicated by the complex and somewhat uncertain hydrogeologic environment found at most mine sites. This dissertation describes a risk-cost-benefit (RCB) framework that can be used to identify the most effective dewatering strategy under such conditions, because the stochastic framework explicitly accounts for uncertainty in hydrogeologic and shear strength parameters in the groundwater flow, slope stability and economic analyses. In the framework, the monetary worth of each design alternative is measured in terms of an economic objective function. This function is defined in terms of a discounted stream of benefits, costs and risks over the operational life of the mine. Benefits consist of revenue generated from the sale of mineral concentrate. Costs include normal operating and dewatering expenses. Monetary risks are defined as the economic consequences associated with slope failure of the pit wall, multiplied by the probability of such a failure occurring. Selection of the best design strategy from a specified set of alternatives is achieved by determining the economic objective function for each design and then selecting the alternative that yields the highest value of the objective function. Estimation of the probability of slope failure requires an accurate assessment of the level of uncertainty associated with each input parameter, a forecast of how dewatering efforts are expected to affect pore pressures in the pit wall in light of the uncertain hydrogeologic environment, and an evaluation of the effect that the pore pressure reductions will have on improving stability of the pit wall. Prediction of the pore pressure response to dewatering efforts is achieved with SG-FLOW, a steady state, saturated-unsaturated finite element model of groundwater flow. Slope stability is evaluated with SG-SLOPE, a two dimensional, limit equilibrium stability model based on the versatile Sarma method of stability analysis. To account for input parameter uncertainty, both the groundwater flow stability models are invoked in a conditional Monte-Carlo simulation that is based on a geostatistical description of the level of uncertainty inherent in the available hydrogeological and geotechnical data. Besides documenting the methodology implemented in the framework to conduct the geostatistical groundwater flow and economic analyses of the objective function, this dissertation also presents a sensitivity analysis and a case history study that demonstrate the application of the RCB framework to design problems typically encountered in operating mines. The sensitivity study explores how each set of input parameters, including hydrologic data, shear strength parameters, slope angles of the pit wall and dewatering system specifications impact on the profitability of the mining operation. The study utilized a base case scenario that is based on overburden conditions at Highland Valley Copper; therefore, the conclusions cannot be applied blindly at other sites. However, the framework can be used to formulate site specific conclusions for other large base-metal open pit mines. After the objective function was calculated for the base case, the aforementioned input parameters were systematically perturbed in turn to study how each parameter impacts on profitability of the mine. The sensitivity study showed that in the particular case analyzed changes in the slope angle and dewatering efforts can improve profitability by many millions of dollars. In particular, steep slope angles can be utilized in the early stages of mine development while the pit walls are relatively low, and then flattened as the pit wall height increases and the monetary consequences of slope failure become more pronounced. Furthermore, the sensitivity results indicated that pit dewatering is likely to be effective over a range of hydraulic conductivities from lxlO"8 m/s to lxlO'5 m/s and that accurate estimation of the mean hydraulic conductivity is much more important than estimating other statistics that describe the hydraulic conductivity field, including the variance and the range of correlation. Results of the sensitivity study clearly demonstrate that the RCB framework can be used effectively to identify the most effective dewatering strategy given a limited amount of geologic and hydrologic information. Also, it is shown that the framework can be used to identify the most important input parameters for each specific dewatering problem and to establish the approximate monetary worth of data collection. The case history study documents how the RCB framework was applied at Highland Valley Copper (HVC). Groundwater control is recognized as an important component of mining operations at this mine site; dewatering measures utilized on the property involve both high capacity dewatering wells and horizontal drains. The benefits of pit dewatering include improved slope stability, drier operating conditions in the pit, and a convenient production water supply. These benefits do not come cheaply, HVC is expecting to spend in excess of six million dollars on groundwater control in the next ten years. Before investing such large sums in groundwater control, mine management should be confident that the capital investment is justified, i.e. that the resulting economic benefits will significantly exceed the costs of the dewatering effort. Using historical data provided by HVC, the case history study documented in this dissertation shows how the RCB framework is used to identify the most profitable combination of slope geometry and groundwater control in design sector R3 of HVC's Valley Pit. By considering three possible slope angle and groundwater control options it is shown that by continuing to implement an aggressive dewatering program, HVC can expect to reduce operating costs by as much as nine million dollars in this design sector.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate

A prototype cost estimating tool was built using an iterative design approach to help training managers assess the impact of changes in the training environment on course life cycle costs. In the first of two evaluations, training managers evaluated the prototype tools during a demonstration for both functionality and face validity in their environment. They also evaluated the usefulness of different levels of graphics and detail in a guide designed to assist the user with the tool. Feedback from the first evaluation was used to revise the prototype tool, and the guide usefulness ratings were used to select the guide for use in the second evaluation. The impact of the guide on performance with the tool was analyzed in a second evaluation. The second evaluation analyzed the difference in performance of two groups. The first group only had the users manual to help them solve the problems. The second group had the users manual and a performance aid to help them. Subjects' performance was compared on the number of spreadsheets used, number of errors made, and the amount of time they took to complete the tasks. The two groups did not significantly differ on these measures.
Ph. D.

Master of Science
Department of Electrical and Computer Engineering
Anil Pahwa
In Afghanistan, electricity is mostly generated by hydroelectric, diesel and natural gas generators. A significant amount of electricity also is imported from neighboring countries. Accessibility of electricity is mostly limited to the capital and main towns. The government of Afghanistan and other development organizations, such as The United States Agency for International Development (USAID) and Deutsche Gesellschaft für Internationale Zusammenarbeit (German Agency for International Cooperation “GIZ”), are striving to develop accessibility of electricity to remote communities by supporting the local population of people to enhance living conditions. Although some of these remote communities are served by local diesel fuel generators for just a couple of hours during the night, still most communities do not have access to electricity and they are using wood and kerosene as major sources of energy in cooking, heating and lighting. For those remote communities who are served by local diesel fuel generators, the cost of electricity is much higher than from the national grid. On the other hand, grid extensions are too expensive and, in some cases, impossible for such communities because of the geographical features of Afghanistan. Afghanistan is a mountainous country which receives a significant amount of snow during the winter and once it melts the water runs into rivers, lakes and streams. Therefore mostly it does not face any shortage of running water during the year. Also Afghanistan has plentiful wind and solar energy. Therefore, small hydro-power, wind turbine and solar energy are attractive renewable energy sources for remote communities. The development of such a hybrid power system is a complex process and technical expertise is essential in design and construction phases. The main challenges are the high cost of civil works and equipment, technical expertise for design and construction and encouragement of local people for the support of the project. This report will give an insight into design, cost-effectiveness and feasibility of the system using HOMER in order to encourage private investors and local community people to take advantage of this potential available in Afghanistan and be convinced of the sustainability for investments in micro-hydropower, wind and solar.

Currently, nationwide efforts are being made to help policymakers, construction professionals and consumers become more aware of the benefits of incorporating sustainable energy principles in residential building design and construction (Miller 1996). Any success in applying these principles is the result of effective communication by design professionals to builders and homeowners in understanding cost benefit tradeoffs for using sustainable energies in homes. The Gordon and Janice Plumblee Residence, located on 1742 Routh Road in Burlington, NC, is an example of how passive solar-heating design elements, along with simple conventional construction techniques, have created a comfortable, affordable, and low-energy consumption home. This report evaluates the passive solar and energy conservative elements incorporated in the Plumblee Home and quantifies the significance of each element energy contribution. A model of the thermal performance of the home is compared to the actual performance. The accuracy of the model is verified. The modeling software is used to perform a sensitivity study of the thermal performance. An analysis of the construction methods and materials used is presented.

Thesis (MTech (Construction Management))--Cape Peninsula University of Technology, 2017.
The study investigates the predominant factors responsible for increase in the cost of building materials and the effect of this cost increase on housing delivery in Western Cape, South Africa. Sustainable housing is buildings produced to meet the present housing needs of people without conceding the ability of the future generation to meet their future needs. However, a significant increase in the cost of building materials has been a major constraint to the delivery of sustainable housings, as made evident in the literature, leading to project cost and time overruns or even project abandonment. However, building materials consume up to 65% of the total cost of construction. This factor on cost has, over the years, threatened the ability of the construction industry to deliver projects within budgeted cost, at stipulated time, and at satisfactory quality. This prompted the need to proffer solutions to these factors identified which are causing increases in the cost of building materials towards sustainable housing delivery in Western Cape. Based on this research study, housing is termed to be sustainable when it is available and affordable for the masses timely and at quality expected. The research study adopted a mixed methodological approach, involving the use of semi-structured qualitative interviews and closed-ended quantitative questionnaires administered to construction stakeholders (architects, quantity surveyors, engineers, construction managers, project managers, site supervisors and material suppliers) in the Western Cape Province of South Africa. SPSS version 24 software was used for analysing the quantitative data collected and ‘content analysis’ method was used to analyse the information collected through the qualitative interviews. The findings revealed that the major factors responsible for increasing the cost of building materials are inflation, wastages of building materials by labourers, cost of transportation and distribution of labour, design changes, client contribution to design change and change in government policies and regulation. Moreover, the research showed that fluctuation in the cost of construction and high maintenance costs due to poor workmanship also impact the cost increase of building materials for housing delivery. In addition, research findings affirmed that for optimum materials usage for the enhancement of sustainable construction, the following criteria should be considered in the selection of building materials: maintenance cost, energy consumption and maintainability. The adoption of these findings by construction stakeholders in the South African construction industry would enhance the delivery of affordable housing at reduced cost, at the required time and at the expected quality. Therefore, an adequate implementation of the framework presented in this study will enhance sustainable housing delivery.

Thesis (Ph. D.)--Aerospace Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Dr. Mavris, Dimitri; Committee Member: Dr. Hollingsworth, Peter; Committee Member: Dr. McMichael, Jim; Committee Member: Dr. Saleh, Joseph; Committee Member: Dr. Schrage, Daniel.

This dissertation puts in place a risk-cost-benefit analysis for waste management facilities that explicitly recognizes the adversarial relationship that exists in a regulated market economy between the owner-operator of the facility and the government regulatory agency under whose terms the facility must be licensed. The risk-cost-benefit analysis is set up from the perspective of the owner-operator. It can be used directly by the owner-operator to assess alternative design strategies. It can also be used by the regulatory agency to assess alternative regulatory policies, but only in an indirect manner, by examining the response of an owner-operator to the stimuli of various policies. The objective function is written in terms of a discounted stream of benefits, costs, and risks over an engineering time horizon. Benefits are in terms of revenues for services provided; costs are those of construction and operation of the facility. Risk is defined as the expected cost associated with failure, with failure defined as a groundwater contamination event that violates the licensing requirements set forth by the regulatory agency. Failure requires a breach of the containment structure and contaminant migration through the hydrogeological environment to a compliance surface. Reliability theory is used to estimate the probability of breaching and Monte Carlo finite-element simulations are used to simulate advective contaminant transport. The hydraulic conductivity values in the hydrogeological environment are defined stochastically. The probability of failure is reduced by the presence of a monitoring network established by the owner-operator. The level of reduction in the probability of failure can be calculated from the stochastic contaminant transport simulations. While the framework is quite general, the development in this dissertation is specifically suited for a landfill in which the primary design feature is one or more synthetic liners and in which contamination is brought about by the release of a single, nonreactive species in an advective, steady-state, horizontal flow field. The risk cost benefit analysis is applied to 1) an assessment of the relative worth of alternative containment-construction activities, site-investigation activities, and monitoring activities available to the owner-operator, 2) an assessment of alternative policy options available to the regulatory agency, and 3) two case histories. Sensitivity analyses designed to address the first issue show that the allocation of resources by the owner-operator is sensitive to the stochastic parameters that describe the hydraulic conductivity field at a site. For the cases analyzed, the installation of a dense monitoring network is of less value to the owner-operator than a more conservative containment design. Sensitivity analyses designed to address the second issue suggest that from a regulatory perspective, design standards should be more effective than performance standards in reducing risk, and design specifications on the containment structure should be more effective than those on the monitoring network. Performance bonds posted before construction have a greater potential to influence design than prospective penalties to be imposed at the time of failure. Sitting on low-conductivity deposits is a more effective method of risk reduction than any form of regulatory influence. Results of the case histories indicate that the methodology can be successfully applied at field sites, and that the risks associated with groundwater contamination may be small when compared to the owner-operators' benefits and costs.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate

This thesis develops quantitative methods for evaluation and design of large-scale biofuel production systems with a particular focus on bioreactor-based fuel systems. In Chapter 2, a lifecycle assessment (LCA) method is integrated with chemical process modeling to select from different process designs the one that maximizes the energy efficiency and minimizes the environmental impact of a production system. An algae-based ethanol production technology, which is in the process of commercialization, is used as a case study. Motivated by this case study, Chapter 3 studies the selection of process designs and production capacity of highly distributed bioreactor-based fuel system from an economic perspective. Nonlinear optimization models based on net present value maximization are developed that aim at selecting the optimal capacities of production equipment for both integrated and distributed-centralized process designs on symmetric production layouts. Global sensitivity analysis based on Monte Carlo estimates is performed to show the impact of different parameters on the optimal capacity decision and the corresponding net present value. Conditional Value at Risk optimization is used to compare the optimal capacity for a risk-neutral planner versus a risk-averse decision maker. Chapter 4 studies mobile distributed processing in biofuel industry as vehicle routing problem and production equipment location with an underlying pipeline network as facility location problem with a focus on general production costs. Formulations and algorithms are developed to explore how fixed cost and concavity in the production cost increases the theoretical complexity of these problems.

Human interference with the Earth’s climate, through the release of greenhouse gasses (GHGs), is estimated to have already increased average statewide temperatures in California by 1.7° Fahrenheit (F), with a further 2.7°F of warming expected by mid-century. The negative impacts of increased temperatures may be especially acute in mid-latitude cities that currently enjoy a mild climate, such as Los Angeles (LA), which are projected to warm to a point that will significantly affect human health and well being. The built environment increases urban temperatures through building materials that readily absorb heat from the sun, a lack of vegetation, a lack of pervious surface area, and anthropogenic heat. Local governments can take action to help their cities adapt to future temperatures through changes to building materials, urban design and infrastructure. This study evaluates six urban design strategies for reducing temperatures and therefore adapting to increased heat in LA: cool roofs, cool pavements, solar panels, tree planting, structural shading and green roofs. The methods used in this analysis include a cost-effectiveness analysis, key stakeholder interviews, and case studies from other cities in the US. Findings indicate that cool roofs are the most cost-effective strategy for urban heat island mitigation, with cool pavements and tree planting also cost-effective. Findings from stakeholder interviews indicate that political feasibility is high for all strategies except structural shading, which was thought to be costly and difficult to implement. However, significant political barriers were also identified for tree planting and green roofs. Findings from four case studies indicate that climate adaptation policies should emphasize co-benefits, include flexible design standards, and provide financial or performance-based incentives for property owners or developers. Specific recommendations for implementing climate adaptation measures are provided for urban planners, policy makers, urban designers and architects in Los Angeles.

The main area of emphasis in this study is to investigate the methods and technology for aerodynamic configuration sizing of missiles and to develop a software platform in MATLAB®
environment as a design tool which has an ability of optimizing the external configuration of missiles for a set of flight requirements specified by the user through a graphical user interface. A genetic algorithm based optimization tool is prepared by MATLAB is expected to help the designer to find out the best external geometry candidates in the conceptual design stage. Missile DATCOM software package is employed to predict the aerodynamic coefficients needed in finding the performance merits of a missile for each external geometry candidate by integrating its dynamic equations of motion. Numerous external geometry candidates are rapidly eliminated according to objectives and constraints specified by designers, which provide necessary information in preliminary design. In this elimination, the external geometry candidates are graded according to their flight performances in order to discover an optimum solution. In the conceptual design, the most important performance objectives related to the external geometry of a missile are range, speed, maneuverability, and control effectiveness. These objectives are directly related to the equations of motion of the missile, concluding that the speed and flight range are related to the total mass and the drag-to-lift ratio acting on missile. Also, maneuverability depends on the normal force acting on missile body and mass whereas the control effectiveness is affected by pitching moment and mass moment of inertia of missile. All of the flight performance data are obtained by running a two degree-of-freedom simulation. In order to solve the resulting multi-objective optimization problem with a set of constraint of linear and nonlinear nature and in equality and inequality forms, genetic-algorithm-based methods are applied. Hybrid encoding methods in which the integer configuration variables (i.e., nose shape and control type) and real-valued geometrical dimension (i.e., diameter, length) parameters are encoded in the same individual chromosome. An external configuration design tool (EXCON) is developed as a synthesis and external sizing tool for the subsonic cruise missiles. A graphical user interface (GUI), a flight simulator and optimization modules are embedded into the tool. A numerical example, the re-configuration problem of an anti-ship cruise missile Harpoon, is presented to demonstrate the accuracy and feasibility of the conceptual design tool. The optimum external geometries found for different penalty weights of penalty terms in the cost function are compared according to their constraint violations and launch mass values. By means of using EXCON, the launch mass original baseline Harpoon is reduced by approximately 30% without deteriorating the other flight performance characteristics of the original Harpoon.

To stay competitive, companies are forced to improve their products continuously. Field data is a source of information that shows the actual performance of products during operation, and that information can be used to clarify the items in need of improvements. This master thesis aims at identifying the set of field data that is required for dependability improvements and to develop a working procedure that enables increased utilization of the field data in order to make cost-effective design improvements. To achieve this, a 12-step model called the Design Improvement Cycle (DIC) was developed and tested in a single case study. The field data need was identified using a top-down method and was included as a part of the DIC.

Testing of the model showed that it was practicable and each step could be carried through, even though the last steps only could be tested hypothetically during discussions with concerned personnel. The model implied a working procedure that should be aimed at, according to personnel with competence within the subject. As the DIC appeared to be very flexible it should be possible to use within several areas. It was discovered that field data was not a sufficient source of information to support design improvements but it could be used to indicate which items that should be focused on during further investigations. The quality of the field data had a big impact on the analysis possibilities and to point out which data quality issues that had to be amended to make the data more useful, the data need for dependability improvements could be used.

La realidad en el sector construcción en el país mantiene déficit en términos económicos y de plazo. Este es el reflejo de las malas prácticas que se aplican en nuestro país por errores en la gestión de los proyectos y sobre todo, por la resistencia al cambio cultural a nuevas metodologías. El TVD es una metodología con enfoque de gestión Lean que se viene aplicando desde el 2007 en proyectos de gran envergadura como colegios y hospitales en Estados Unidos, dando como resultados incrementos en la rentabilidad manteniendo la calidad y tiempos del proyecto, respetando un costo objetivo o un costo meta. En la presente tesis implementaremos esta metodología (TVD) dentro de un proyecto inmobiliario en el segmento Lima Centro que involucra a los distritos de Breña, Cercado de lima, La Victoria y Rímac. Dicha metodología se implementa durante la etapa planificación y diseño, que según el TVD son etapas pilares fundamentales para poder desarrollar con éxito un proyecto, en el cual seguiremos los pasos necesarios para poder cumplir con los requerimientos del cliente. Junto con otras herramientas tales como Lean Design y Project Definition, potenciaremos y optimizaremos los procesos con lo que lograremos mejores resultados en la rentabilidad del proyecto y alcanzar las ganancias requeridas por el cliente. Para consolidar esta metodología, se implementará el cálculo del costo admisible que permitirá incrementar ciertos beneficios a la edificación para mantener la calidad de vida de los usuarios.
The construction industry in Peru keeps having a deficit in terms of money and time. This is because of the common habits when planning a new project and especially of the cultural resistance to new methodologies due the high risk that they imply. Nowadays, the sale of apartments of the real estate sector shows a shortage after the times of the Real Estate Boom which influenced the profitability of this type of projects and the country’s economic. The Target Value Design is Lean methodology that has been applied in large-scale projects of the United States of America since 2007 such as high schools and hospitals. The results for these projects demonstrate the upturn in terms of profit, quality and time of the project respecting a target cost. In this investigation, TVD will be applied in a real estate project in Peru focusing on the Design phase which is the main stage if we want to success using it. We will follow the steps in order to reach the client’s requirements using also the Lean Design and Project Definition tools for enhancing and optimizing the methodology. Thus, the profitability will raise and the good will increase. Finally, the methodology will be consolidated when implementing the allowable cost. This cost will allow the augmentation of other kind of benefits for the building so that we can maintain users’ quality of living.
Tesis

[EN] Adaptation to the multiple facets of global change challenges the conventional means of sustainably planning and managing water resources at the river basin scale. Numerous demand or supply management options are available, from which adaptation measures need to be selected in a context of high uncertainty of future conditions. Given the interdependency of water users, agreements need to be found at the local level to implement the most effective adaptation measures. Therefore, this thesis develops an approach combining economics and water resources engineering to select a cost-effective programme of adaptation measures in the context of climate change uncertainty, and to define an equitable allocation of the cost of the adaptation plan between the stakeholders involved. A framework is developed to integrate inputs from the two main approaches commonly used to plan for adaptation. The first, referred to as "top-down", consists of a modelling chain going from global greenhouse gases emission scenarios to local hydrological models used to assess the impact of climate change on water resources. Conversely, the second approach, called "bottom-up", starts from assessing vulnerability at the local level to then identify adaptation measures used to face an uncertain future. Outcomes from these two approaches are integrated to select a cost-effective combination of adaptation measures through a least-cost optimization model developed at the river basin scale. The model is then used to investigate the trade-offs between different planning objectives defined in terms of environmental flow requirements, irrigated agriculture development, and the cost of the programme of measures. The performances of a programme of measures are finally assessed under different climate projections to identify robust and least-regret adaptation measures. The issue of allocating the cost of the adaptation plan is considered through two complementary perspectives. The outcome of a negotiation process between the stakeholders is modelled through the implementation of cooperative game theory to define cost allocation scenarios. These results are compared with cost allocation rules based on social justice principles to provide contrasted insights into a negotiation process. This innovative framework has been applied in a Mediterranean case study in the Orb River basin (France). Mid-term climate projections, downscaled from 9 General Climate Models, are used to assess the uncertainty associated with climate projections. Demand evolution scenarios have been developed to project agricultural and urban water demands on the 2030 time horizon. The least-cost river basin optimization model developed in GAMS allows the cost-effective selection of a programme of measures from a catalogue of 462 supply and demand management measures. Nine cost allocation scenarios based on different social justice principles have been discussed through face-to-face semi-structured interviews with 15 key informants and compared with solution concepts from cooperative game theory for a 3-player game defined at the river basin scale. The interdisciplinary framework developed in this thesis combines economics and water resources engineering methods, establishing a promising means of bridging the gap between bottom-up and top-down approaches and supporting the creation of cost-effective and equitable adaptation plans at the local level.
[ES] La adaptación a los múltiples aspectos del cambio global supone un reto para los enfoques convencionales de planificación y gestión sostenible de los recursos hídricos a escala de cuenca. Numerosas opciones de gestión de la demanda o de la oferta están disponibles, de entre las cuales es necesario seleccionar medidas de adaptación en un contexto de elevada incertidumbre sobre las condiciones futuras. Dadas las interdependencias existentes entre los usuarios del agua a nivel local, hace falta buscar acuerdos a escala de cuenca para implementar las medidas de adaptación más eficaces. Por este motivo, esta tesis desarrolla una metodología que, combinando economía e ingeniería de los recursos hídricos, busca seleccionar un programa de medidas coste-eficaz frente a las incertidumbres del cambio climático, y asimismo definir un reparto justo del coste de la adaptación entre los actores implicados. El marco metodológico ha sido desarrollado para integrar contribuciones de los dos principales enfoques utilizados para la planificación de la adaptación. El primero, denominado descendente ("top-down"), consiste en una cadena de modelación que va desde los escenarios de emisiones de gases efecto invernadero a nivel global hasta los modelos hidrológicos utilizados a nivel local para evaluar así el impacto del cambio climático sobre los recursos hídricos. Por el contrario, el segundo enfoque denominado ascendente ("bottom-up") empieza por evaluar la vulnerabilidad del sistema a nivel local para después identificar medidas de adaptación frente a un futuro incierto. Los resultados de los métodos mencionados previamente se han integrado con el fin de seleccionar una combinación coste-eficaz de medidas de adaptación a través de un modelo de optimización a menor coste a escala de cuenca. El modelo se utiliza para investigar las soluciones de compromiso ("trade-offs") entre diversos objetivos de planificación como son los caudales ecológicos necesarios, el desarrollo del regadío y el coste del programa de medidas. Seguidamente, se han evaluado los programas de adaptación frente a varias condiciones climáticas para definir así un programa de medidas robusto y de arrepentimiento mínimo frente al cambio climático. En la última parte se aborda el problema del reparto justo de los costes del plan de adaptación, entendiendo que esto es una manera de favorecer su implementación. Para ello, se han modelado los resultados de un proceso de negociación entre los diferentes actores mediante escenarios de reparto basados en la teoría de juegos cooperativos. Posteriormente, se han comparado estos resultados con otras reglas de reparto de costes basadas en principios de justicia social, proporcionando así un punto de vista diferente al proceso de negociación. Este novedoso enfoque ha sido aplicado a una cuenca mediterránea, la cuenca del rio Orb (Francia). Para ello, se han empleado proyecciones climáticas a medio-plazo de datos reescalados de 9 Modelos de Circulación Global. Además, se han desarrollado escenarios de evolución de la demanda en los sectores urbano y agrícola para el horizonte de planificación de 2030. El modelo de optimización a menor coste a escala de cuenca desarrollado en GAMS permite seleccionar un programa de medidas, de entre las 462 medidas de gestión de la oferta o de la demanda. Nueve escenarios de reparto de costes basados en diferentes principios de justicia social han sido debatidos con informantes clave mediante entrevistas y comparados con conceptos de solución de la teoría de juegos cooperativos, considerando un juego de 3 jugadores a escala de cuenca. El marco interdisciplinario desarrollado durante esta tesis combina métodos de economía y de ingeniería de los recursos hídricos de manera prometedora y permite integrar los enfoques "top-down" y "bottom-up", contribuyendo a definir un plan de adaptación coste-eficaz y justo a nivel local.
[CAT] L'adaptació als múltiples aspectes del canvi global implica un repte per als enfocaments convencionals de planificació i gestió sostenible dels recursos hídrics a escala de conca. Existeixen nombroses opcions de gestió de la demanda y de la oferta. De entre elles, cal seleccionar mesures d'adaptació en un context d'incertesa elevada sobre les condicions futures. Donades les interaccions entre els usuaris de l'aigua a nivell local, és necessari buscar acords a escala de conca per tal d'implementar les mesures d'adaptació més eficaces. Per aquest motiu, la tesi desenvolupa una metodologia que, mitjançant la combinació d'economia i enginyeria dels recursos hídrics, siga adient per seleccionar un programa de mesures cost-eficaç per a fer front a les incerteses del canvi climàtic i, a més a més, definir un repartiment just del cost d'adaptació entre els actors implicats. El marc metodològic ha estat desenvolupat amb el fi de permetre integrar contribucions del principals enfocaments que s'utilitzen per a la planificació de l'adaptació. El primer, que es denomina descendent ("top-down"), consisteix a una cadena de modelació que va des dels escenaris d'emissions de gas d'efecte hivernacle a nivell global fins als models hidrològics a nivell local per avaluar l'impacte del canvi climàtic sobre els recursos hídrics. Per contra, el segon enfocament, que es denomina ascendent ("bottom-up"), comença per avaluar la vulnerabilitat del sistema a nivell local per a tot seguit identificar mesures d'adaptació de cara a un futur incert. Els resultats del mètodes esmentats prèviament, s'han integrat per a seleccionar una combinació de mesures d'adaptació cost-eficaç mitjançant un model d'optimització a menor cost a escala de conca. El model s'utilitza per investigar les solucions de compromís ("trade-offs") entre els diversos objectius de planificació, com són els cabals ecològics necessaris, el desenvolupament del regadiu i el cost del programa de mesures. A continuació, s'avaluen els programes d'adaptació per a varies condicions climàtiques amb el fi de definir un programa de mesures robust i de penediment mínim per a fer front al canvi climàtic. En la darrera part, s'escomet el problema del repartiment just dels costs del pla d'adaptació, considerant que això és una manera de facilitar la implementació del pla. En conseqüència, els resultats d'un procés de negociació entre els diferents actors han estat modelats mitjançant escenaris de repartiment basats en la teoria de jocs cooperatius. Tot seguit, els resultats s'han comparat amb altres regles de repartiment de costos basades en principis de justícia social. Això ha proporcionat un punt de vista diferent al procés de negociació. Aquest enfocament innovador s'ha aplicat a una conca mediterrània, la conca del riu Orb (França). Amb aquesta finalitat s'han utilitzat projeccions climàtiques a mig termini de dades reescalades de 9 Models de Circulació Global (MCG). A més a més, s'han desenvolupat escenaris d'evolució de la demanada en els sectors agrícola i urbà per a l'horitzó de planificació de 2030. El model d'optimització a menor cost a escala de conca desenvolupat en GAMS permet seleccionar un programa de mesures, de entre les 462 mesures de gestió de la oferta o de la demanda. Els nou escenaris de repartiment de costs han estat debatuts amb informants clau, mitjançant entrevistes, i comparats amb conceptes de solució de la teoria de jocs cooperatius, considerant un joc de 3 jugadors a escala de conca. El marc interdisciplinari desenvolupat al llarg de la tesi combina mètodes d'economia i d'enginyeria dels recursos hídrics de manera prometedora i permet la integració d'enfocaments "top-down" i "bottom-up", fet que contribueix a definir un pla d'adaptació cost-eficaç i just a escala local.
Girard, CDP. (2015). Integrating top-down and bottom-up approaches to design a cost-effective and equitable programme of measures for adaptation of a river basin to global change [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/59461
TESIS
Premiado

Buildings have a significant impact on energy usage and the environment. Much of the research in architectural sustainability has centered on economically advanced countries because they consume the most energy and have the most resources. However, sustainable architecture is important in developing countries, where the energy consumption of the building sector is increasing significantly. Currently, developing countries struggle with vaccine storage because vaccines are typically warehoused in old buildings that are poorly designed and wasteful of energy. This thesis created and studied a decision support tool that can be used to aid in the design of economically feasible Net Zero Energy vaccine warehouses for the developing world. The decision support tool used a simulation-optimization approach to combine an optimization technique with two simulation softwares in order to determine the cost-optimal design solution. To test its effectiveness, a new national vaccine storage facility located in Tunis, Tunisia was used. Nine building parameters were investigated to see which have the most significant effect on the annual energy usage and initial construction cost of the building. First, tests were conducted for two construction techniques, five different climates in the developing world, and three photovoltaic system prices to gain insight on the design space of the optimal solution. The results showed the difference between an economically efficient and economically inefficient Net Zero Energy building and the results were used to provide generalized climatic recommendations for all the building parameters studied. The final test showed the benefits of combining two optimization techniques, a design of experiments and a genetic algorithm, to form a two-step process to aid in the building design in the early stages and final stages of the design process. The proposed decision support tool can efficiently and effectively aid in the design of an economically feasible Net Zero Energy vaccine warehouse for the developing world.

Submitted by Marcos Paulo Rodrigues Montenegro (marcospromontenegro@gmail.com) on 2018-08-16T22:19:46Z No. of bitstreams: 1 DISSERTAÇÃO REVISADA JULHO.pdf: 9498473 bytes, checksum: 592b91998a240c1445202c03d8237c75 (MD5)
Approved for entry into archive by ÁUREA CORRÊA DA FONSECA CORRÊA DA FONSECA (aurea.fonseca@fgv.br) on 2018-08-28T13:59:06Z (GMT) No. of bitstreams: 1 DISSERTAÇÃO REVISADA JULHO.pdf: 9498473 bytes, checksum: 592b91998a240c1445202c03d8237c75 (MD5)
Made available in DSpace on 2018-09-11T14:33:30Z (GMT). No. of bitstreams: 1 DISSERTAÇÃO REVISADA JULHO.pdf: 9498473 bytes, checksum: 592b91998a240c1445202c03d8237c75 (MD5) Previous issue date: 2018-06-21
O objetivo geral desta pesquisa é demonstrar como o Controle Externo pode contribuir na redução dos riscos de desastres, contribuindo para a governança democrática. Em seus objetivos específicos, o estudo pretende: a) identificar os Tribunais de Contas como condutores da participação social em estágios pré-decisórios da formulação de políticas de Redução dos Riscos de Desastres (RRD); b) propor o conceito de Economicidade Colaborativa como abordagem teórica para garantir o fortalecimento do sistema de controle e da governança democrática; c) aplicar a metodologia do design-thinking como abordagem prática para o entendimento da demanda pública ante cada realidade local.
Objective - The general objective of this research is to demonstrate how External Control can contribute to reduce the risks of disasters, contributing to democratic governance. In its specific objectives, the study intends to: a) identify Audit Courts as drivers of social participation in pre-decision stages of formulating policies for Disaster Risk Reduction (DRR); b) propose the concept of Collaborative Accountability as a theoretical approach to ensure strengthening of the control system and democratic governance; c) apply designthinking methodology as a practical approach to understanding public demand of each local reality. Methodology - Design-Thinking, applying the concept of Collaborative Accountability at the ex-ante moment of the public policy of DRR, with i-Cities indicator (IEGM) in the Kingdon Multiple Flow Model (2003).Discussion and Possibilities - The possibilities revolve perspectives of the Schools of Accounts and Management (ECG), Schools of the Audit Courts that seek to improve internal and external controls. Pedagogical essence of the concept of Collaborative Accountability provides a more integrated and cohesive architecture in DRR policy, strengthening system of control of public administration, engagement of society, and democracy. Practical implications – Applicability of the research was shown to be relevant, since it opens up possibilities for better qualification of public policies capable of dealing with wicked problems such as disasters, when from the moment of the pre-decision stages of its formulation. It also improves degree of institutionality of the Audit Courts, contributes to updating of IEGM as well as improves DRR policy and Public Administration. Social implications - The study allows to know performance of the Accounts Courts and to propose improvements in external control given historical and evolutionary conditions of the public administration, in the context of a democratic society in network. In this context, when referencing the citizen in the center of the democratic framework, Collaborative Accountability uses social learning to bring educated citizens and trained public servants, concerned with generating a public value that considers equity and culminates in Social Resilience. It seeks to develop a collective consciousness capable of arousing in the elected agent greater capacity to operate with different forms of knowledge acquisition, allowing greater inclusion and participation of citizens and public servants in formulation of public policies (RRD), when in their pre- according to local reality. Originality - Collaborative Accountability, of pedagogical essence and applicable by Schools of Accounts and Management (ECG), revisits classical approaches and suggests new arrangements capable of dealing with complexity of current public problems such as disasters. Thus, External Control Bodies can use these arrangements to watch over public policy cycle - from the origin - exercising a more integrative and cohesive control. It is a new approach to stimulate democratic concertation and civic engagement in policy-making, providing new areas for future research on subject

In the last half century, the aerospace industry has seen a dramatic paradigm shift from a focus on performance-at-any-cost to product economics and value. The steady increase in product requirements, complexity and global competition has driven aircraft manufacturers to seek broad portfolios of advanced technologies. The development costs and cycle times of these technologies vary widely, and the resulting design environment is one where decisions must be made under substantial uncertainty. Modeling and simulation have recently become the standard practice for addressing these issues; detailed simulations and explorations of candidate future states of these systems help reduce a complex design problem into a comprehensible, manageable form where decision factors are prioritized. While there are still fundamental criticisms about using modeling and simulation, the emerging challenge becomes ``How do you best configure uncertainty analyses and the information they produce to address real world problems?” One such analysis approach was developed in this thesis by structuring the input, models, and output to answer questions about the risk and economic impact of technology decisions in future aircraft programs. Unlike other methods, this method placed emphasis on the uncertainty in the cumulative cashflow space as the integrator of economic viability. From this perspective, it then focused on exploration of the design and technology space to tailor the business case and its associated risk in the cash flow dimension. The methodology is called CASSANDRA and is intended to be executed by a program manager of a manufacturer working of the development of future concepts. The program manager has the ability to control design elements as well as the new technology allocation on that aircraft. She is also responsible for the elicitation of the uncertainty in those dimensions within control as well as the external scenarios (that are out of program control). The methodology was applied on a future single-aisle 150 passenger aircraft design. The overall methodology is compared to existing approaches and is shown to identify more economically robust design decisions under a set of at-risk program scenarios. Additionally, a set of metrics in the uncertain cumulative cashflow space were developed to assist the methodology user in the identification, evaluation, and selection of design and technology. These metrics are compared to alternate approaches and are shown to better identify risk efficient design and technology selections. At the modeling level, an approach is given to estimate the production quantity based on an enhanced Overall Evaluation Criterion method that captures the competitive advantage of the aircraft design. This model was needed as the assumption of production quantity is highly influential to the business case risk. Finally, the research explored the capacity to generate risk mitigation strategies in to two analysis configurations: when available data and simulation capacity are abundant, and when they are sparse or incomplete. The first configuration leverages structured filtration of Monte Carlo simulation results. The allocation of design and technology risk is then identified on the Pareto Frontier. The second configuration identifies the direction of robust risk mitigation based on the available data and limited simulation ability. It leverages a linearized approximation of the cashflow metrics and identifies the direction of allocation using the Jacobian matrix and its inversion.

碩士
國立成功大學
製造工程研究所
85
Recently, the methodology and technology of the concurrent engineeringhave been employed to improve the product quality and reduce the time tomarket. The main concept of concurrent engineering is to consider all therelated factors in the product life cycle at the early designing stage.The researches in "Design for X" and system development are mostlyconcentrated in "Design for manufacturing" in the concurrent stage. Lessdiscussion in cost consideration and its system, otherwise, the most costrelated work are concentrated in cost estimation. The concurrentengineering spirit can not be touch. The objective of this research is to develop a systematic and concurrentfor injection molding product design methodology and procedure. Based onthese. A cost effective model of concurrent injection molding productdesign can be established. Finally. A framework of computer-aided productdesign for cost effectiveness can also be established. Computer-aidedproduct design for cost effectiveness system can then be proceeded toassist the product designer to achieve the rational and concurrent productdesign to reduce the cost and the time to market.

Submitted in fulfilment of the academic requirements for the Degree of Magister Technologiae: Civil Engineering, Department of Civil Engineering and Surveying, Faculty of Engineering and the Built Environment, Durban University of Technology, 2009.
Infrastructure project costs are being scrutinised more closely and with greater skill and accuracy as projects have become larger, more complex and more expensive, and clients have become more exacting in their requirements. These and other factors compel engineers to design with greater care and in more detail. However, public planners spend very little time generating alternative project options, often presenting decision-makers with only a few poorly differentiated alternatives borrowed ad hoc from other projects. Even more disturbing is that they often devote the greatest amount of decision making resources to the development of a single decision rather than a variety of options. A systematic and iterative analysis of the cost consequences of different design solutions is commonly suggested for infrastructure projects, but rarely happens. There is a growing need to integrate design and costs. This study concentrates on the issue of cost optimisation of infrastructure projects (particularly at the design stage of the project) and applies construction economics, cost planning, cost optimisation and value engineering techniques to the design of such projects. The methodology proposed in this study for the optimisation of cost and design planning is the Infrastructure Cost Planning Model. This model divides the planning of a project into four stages and utilises twelve Cost Report Forms across these stages. The Cost Report Forms define in a comprehensive, precise and verifiable manner the essential characteristics of a deliverable component. They are used to measure, quantify, verify and audit the different design options. By means of the Cost Report Forms, the Infrastructure Cost Planning Model enables the client to select a combination of alternatives and evaluate a number of possible design options – with their cost implications – at each stage of the design process. This i promotes transparency and accountability, and enables consultants and clients to have greater control over the planning process and overall costs. Two case studies on infrastructure related projects were conducted and confirm that the Infrastructure Cost Planning Model can reduce costs. This study demonstrates that it is possible to overcome the problem of over expenditure by introducing cost effective design decisions prior to the infrastructure design approval process. The Infrastructure Cost Planning Model can improve infrastructure standards and procure design in a cost effective, equitable, competitive and transparent manner. This study contributes to the underdeveloped area of cost planning and forecasting of infrastructure projects. The findings are relevant to the South African government's infrastructure service delivery programme and the general issue of affordable infrastructure services.

碩士
國立臺灣大學
園藝學研究所
92
This study discusses the effectiveness of contingent valuation method and contingent rating method in evaluating the landscape esthetics of streets. The research assess streetscape plans from both economic and psychological points of view and analyze the relative importance of design elements such as street vegetation and sidewalk pavements on the economic and preference-based values. The research conducted experiments by using computer-simulated images as virtual alternative of street design projects in Taipei City. The elements selected various types of design with a varying cost of street trees species, interval of trees, height of shrubbery, pavements material, pavements pattern, pavements color of sidewalk. The respondents participating in this experiment were asked to evaluate thirty-two alternatives by two kinds of questionnaires, contingent rating method was for students and contingent valuation method for landscape professions. In the economic evaluation of alternatives, the availability of landscape esthetics preference are seen as benefits, and these can be compared with the material cost of an alternative. This study use six indices for the economic evaluation of street design that include an acceptable cost derived from a contingent valuation method and composite indices related to the cost and benefits(cost(C), preference(P), acceptable cost(AC), P/C, AC/C, AC-C) and clarify their characteristics indicating cost-effectiveness. The results indicate that street trees species, interval of trees, height of shrubbery, pavements material, pavements pattern, pavements color of sidewalk would influence preference and cost-effectiveness. The respondents considered both landscape esthetics as well as material cost when they evaluate economic values of streetscape.In addition, the results suggests that AC-C is highly correlated to low cost plans and that P/C is a moderate index balancing high landscape preference and low cost.

Human-induced climate change, with its potentially catastrophic impacts on weather patterns, water resources, ecosystems, and agricultural production, is the toughest global problem of modern times. Impeding catastrophic climate change necessitates the widespread deployment of renewable energy technologies for reducing the emissions of heat-trapping gases, especially carbon di-oxide (CO₂). However, the deployment of renewable energy technologies is plagued by various market failures, such as environmental externalities from conventional energy sources, learning-by-doing, innovation spillover effects, and peer effects. In efforts to begin to address these market failures, several governments at all levels—city, state, regional, and national—have instituted various subsidies for promoting the adoption of renewable energy technologies. Public resources are limited and have competing uses. So, it is important to ask: how cost-effective are renewable energy subsidies? Are the subsidies even reaching the intended subjects—the potential adopters of renewable energy technologies? In this empirically-driven dissertation, I analyze these important policy design and evaluation questions with a focus on the solar subsidy programs in California. All programs to incentivize the adoption of renewable energy technologies run into the same key question: what is the optimal (maximum capacity inducing) rebate schedule in the face of volatile product prices and the need for policy certainty? Answering this question requires careful attention to both supply-side (learning-by-doing) and demand-side (peer effects) market dynamics. I use dynamic programming to analyze the effectiveness of the largest state-level solar photovoltaic (PV) subsidy program in the U.S. – the California Solar Initiative (CSI) – in maximizing the cumulative PV installation in California under a budget constraint. I find that previous studies overestimated learning-by-doing in the solar industry. Consistent with other studies, I also find that peer effects are a significant demand driver in the California solar market. The main implication of this empirical finding in the dynamic optimization context is that it forces the optimal solution towards higher subsidies in earlier years of the program, and, hence, leads to a lower program duration (for the same budget). In particular, I find that the optimal rebate schedule would start not at $2.5/W as it actually did in CSI, but instead at $4.2/W; the effective policy period would be only three years instead of the realized period of six years. This optimal (i.e., most cost effective) solution results in total PV adoption of 32.2 MW (8.1%) higher than that installed under CSI, using the same budget. Furthermore, I find that the optimal rebate schedule starts to look like the actual CSI in a ‘policy certainty’ scenario where the variation of periodic subsidy-level changes is constrained. Finally, introduction of stochastic learning-by-doing as a way to better capture the dynamic nature of learning in markets for new products does not yield significantly different results compared to the deterministic case. Another, still-unanswered, redistribution question related to the CSI program is: to what degree have the direct PV incentives in California been passed through from installers to consumers? I address this question by carefully examining the residential PV market in California by applying multiple methods. Specifically, I apply a structural-modeling approach, a reduced-form regression analysis, and regression discontinuity designs to estimate the incentive pass-through rate in California’s solar program. The results consistently suggest a high average pass-through rate of direct incentives of nearly 100%, though with regional differences among California counties and utilities. While these results could have multiple explanations, they suggest a relatively competitive market and a smoothly operating subsidy program. Combining evidence from the optimal subsidy policy design and the incentive pass-through analysis, this dissertation lends credibility to the cost-effectiveness of CSI given CSI’s design goal of providing policy certainty and also finds a near-perfect incidence in CSI. Long-term credible commitment as reflected through CSI’s capacity-triggered step changes in rebates along with policy and data transparency are important factors for CSI’s smooth and cost-effective functioning. Though CSI has now wound down because final solar capacity targets have been reached, the historical performance of CSI is relevant not only as an ex-post analysis in California, but potentially has broader policy implications for other solar incentive programs both nationally and internationally.
text

碩士
國立臺北科技大學
車輛工程系所
102
This study proposes an active cell balancing system with single-ended primary-inductor converter (SEPIC) for the Li-ion battery management system (BMS) in the electric vehicle (EV). The Li-ion battery of the EV could be regulated by the proposed topology to avoid cell unbalance in series during the charging or discharging process. The Proposed topology applies SEPIC in power stage, through output switches let energy from total battery pack to single cell (Pack to Cell). Furthermore, compared with other converter base balancing topology, the system uses only one single converter to multi cells, instead of multi converters to several cells. Without additional inductor and capacitor, it could be improved the cost efficiency. System test on four series 3.6V/10Ah LiFe cells, to verify system, three kind of test designed, like constant current charging, constant current discharging, and simulated FTP-75 test. Finally, captured cells voltage curve by regenerative battery pack test system.

Research Doctorate - Doctor of Philosophy (PhD)
Print materials such as pamphlets are widely used in the field of health education. An extensive variety and volume of materials is continually produced and distributed to the public. Print material is frequently used by health professionals for both patient and public education. Considerable resources are continually being expended in the development, production and distribution of pamphlets for health education and promotion. Despite the widespread use of pamphlets, there remain some unanswered questions about the potential effectiveness of pamphlets and the cost-effectiveness of various approaches to pamphlet development. The objective of the thesis is to determine the effectiveness of pamphlets in changing knowledge, attitudes and behaviour and to identify cost-effective strategies for the development of pamphlets. It was anticipated that this would lead to the development of guidelines for practitioners, which would outline cost-effective strategies for use in developing pamphlets. The thesis consists of a series of integrated studies and reviews designed to identify cost-effective strategies for developing pamphlets within a 'real world' context. The theoretical framework used in the thesis for assessing the effectiveness of pamphlets is McGuire's Communication Persuasion Model. The model outlines the process from issuing an educational message to achieving behaviour change. The process is a series of steps: exposure to the message, attention to the message, interest in the message, comprehension of the message, skill acquisition, yielding to the message, retention and retrieval of the message, and finally behaviour change.

碩士
銘傳大學
公共事務學系碩士在職專班
105
The modern related studies about participatory budget according to Mr. Yu Ze Wan in 2015, mainly “hope to involve people in the decision process of local government budget review.” The purpose of this paper is to focus on transaction costs of Taipei City Lake Administrative Region, as an example of the related subject to watch problems the participatory budget may face.In order to clarify the current problems, this study adopts qualitative research methods, Uses the depth interviews and reuses MAXQDA12 software to do a code analysis. It also provides the diffioulties of mechanism design and operation effectiveness while transiting into participatory budget may encounter. According to the result of this study, there are different features of transaction cost: incontrollable administration cost, interdisciplinary frictional cost, overlapped opportunity cost, and long complicated time cost ets. Through the mechanism design on every stage and the actual participation, it can be linked locally to Taipei City Lake Administrative Region for them to construct redistribution of the budget resource.In the end. In order to set up a versatile and high quality participatory budget, this study provides the authorities, government agencies, public servants and citizens in Taipei with some constructive suggestions and feasible strategies.

This study examines the application of high-strength concrete (HSC) in structural walls of tall buildings. Emphasis is put on the cost-benefits corresponding to the use of higher concrete strengths. The parameters included in the cost analysis are: the material cost of concrete and reinforcing steel; the construction costs including the placement costs of the steel reinforcement and wet concrete, and the formwork cost; and the cost-benefit additional floor area gains, corresponding to thinner walls resulted from applications. In lateral load resisting buildings, HSC are more likely to be used in the structural columns and walls. It is shown in the review of literature (Chapter 2) that the utilisations of HSC in building applications are economical. The work done so far was mostly involving the use of HSC columns in the medium-rise buildings. The cost analyses carried out in this thesis reveals that significant cost-benefits can also be achieved in the HSC walls. Comparing to the 40 MPa concrete, a 120 MPa concrete wall building capitalising at $8,000 per square meter results in a cost-benefit more than 2.5 times the construction costs of the 40 MPa wall, a significant amount. The structural walls investigated are two-dimensional cantilever and coupled walls, and a threerdimensional core wall comprising two 'C' shape walls and header beams coupling the two walls. The results of the investigations are presented in Chapters 6 and 7. A case study of a model 30-storey building is also given in Chapter 8. This study concluded that the use of HSC in structural wall buildings is recommended.

This Master of Laws dissertation is a treatise of “The efficacy of Alternative Dispute Resolution (ADR) in labour disputes: a critical comparative analysis of Botswana, South Africa (RSA) and Zimbabwe.” Alternative Dispute Resolution hereinafter referred to as (“ADR”) has attracted so much research ado worldwide with policy makers alive to its possibilities in so far as it ought to shed off the burden of the courts in handling disputes. Courts are considered inundated with unresolved cases taking many years to finalise. ADR is therefore touted, not only the panacea, but the cheaper, efficient and effective alternative to normal court process. This study was saddled with the common challenges of definition, scope and methodology as does most scientific studies, especially to locate the concept ADR in the plethora of views from prominent exponent-s of the discipline. This study labored on the considered view that ADR is essentially an ‘out of court settlement approach to dispensing with disputes involving an attempt by disputants to rope in an impartial third party to aid finality to the respective wrangle. The lack of a methodological approach to treat this subject matter, made this study more challenging. The study had to therefore rely on a hypothetical model developed after gleaning through various scholarly views 1 that sought to treat the subject of ADR efficacy in labour dispute resolution. The study contented with the strongly held view 2 that ADR is an efficacious approach in resolving disputes outside the court system. As to whether this was the case in Botswana, RSA and Zimbabwe in so far as labour dispute resolution is concerned was the major challenge this study was seized with? A model was formulated which envisaged that efficaciousness of ADR may be achieved if three conditions or criteria are present within a jurisdiction, namely (1) ADR Background Conditions that comprise (a) adequate legislative and political support; (b) Supportive institutional and cultural norms, (c) adequate and competent manpower, (d) sufficient funding support, and (e) power-parity of disputants; (2) ADR Program Design comprising of (a) Planning and preparation and (b) Operations and implementation and finally (3) ADR Measures (a) Client satisfaction; (b) Time efficient; (c) Cost saving and (d) Settlement & enforcement. This study measured the situations obtaining in the three countries using these three-pronged criteria. In all three measures3 this study found that although all the three countries still have a long way before their ADR became as efficacious as would be reasonably possible, RSA has made many strides such as legislative enactments immediately upon attaining independence that sought to address the injustices of the past and thereby installing structures for enforcing industrial democracy 4, while Botswana and Zimbabwe took 5 years 5 and over 10 years 6 respectively after attaining independence. RSA established an independent body for dispensing with labour dispute settlement7 while Botswana8 and Zimbabwe 9 are still reluctant to do so, relying rather on their labour ministries often marinated in bureaucratic bottlenecks hence stalling efficacy of ADR. While RSA makes effort to provide adequate and competent manpower because of sufficient funding, Botswana and Zimbabwe still struggle to dispense with disputes under their labour departments who are either inadequately skilled or also accused of favouritism in the case of Zimbabwe.10 All the three countries are regarded as unequal societies which tends to sway the power-parity of disputants with capitalists still wielding unbridled powers in dispute outcomes. South Africa enacted section 143 to the Labour Relations Act 11 which empowers the Director of CCMA to certify an arbitral award, giving it the same force as an order of the Magistrate Court. This has cut off the time and administrative burden of having to register an arbitral award with the court so as to obtain writs of executions and enforce it, a practice which is still prevalent in Zimbabwe. The Department of Labour in South Africa has made funding available to the CCMA to assist employees who are not in a financial position to enforce awards in their favour.12 The funding is aimed at employees who are too indigent to afford the costs of enforcement.13 These employees are deemed to be: (a) Employees who earn below the earnings threshold (currently at R205 433.30 per annum) – proof of income will be required by the CCMA. There is no record regarding enforcement or ease of enforcement of ADR outcomes in Botswana and Zimbabwe or at least this study is aware of. The governments of Botswana and Zimbabwe have been accused of using a heavy hand in determining wages, the right to strike and often curtailing union power through declaring certain sectors essential services. RSA’s Commission for Conciliation, Mediation and Arbitration hereinafter after referred to as (the “CCMA”)14 runs an electronic system of case management by which cases are screened and assigned commissioners whereas Zimbabwe and Botswana still rely on manual systems often inefficiently managed especially when it comes to allocating matters to ADR interventionists.15 In Zimbabwe the challenge of resources is acute often the Labour Officers lacking a simple photocopier and postage stamps to dispense with administration of disputes. This dissertation found that Botswana and Zimbabwe lack publicly available information from which to infer the efficaciousness of ADR practices therein. Measuring client satisfaction, efficiency and cost effectiveness, enforcement and settlement has not been tackled with ease, which was different when it came to RSA. This study argues that RSA’s ADR is efficacious rated at 75% attainment of settlement of disputes, despite accusations of failing to offer disputants options and job retention at the end of ADR intervention. Botswana and Zimbabwe on the measures raised above are not yet close to achieving efficaciousness based on the above criteria. The challenges need to be addressed to ensure that in all three measures ADR affords Botswana, RSA and Zimbabwe disputants a cheaper, efficient and effective alternative to dispensing with labour disputes. This study concluded with recommendations arising from the three measures ADR Background Conditions; ADR Program Design and (3) ADR Measures could be implemented towards achieving an efficacious ADR regime for the three countries and beyond.
Mercantile Law
LL.M.