Modelação de um Sistema de AVAC, em Software LabVIEW

Na União Europeia, a energia utilizada nos edifícios é responsável por uma grande parte do consumo total, cerca de 40%, de toda a energia produzida, contribuindo em grande escala para as emissões de gases de efeito de estufa, como o CO2. [ADENE, 2014]. A minimização deste consumo, durante o período de ciclo de vida de um edifício, é um grande desafio associado ao ambiente e à economia. Na atualidade assistimos, cada vez mais, ao emergir de novas tecnologias. Faz parte dessa realidade, o crescimento e o desenvolvimento das UTA’s, que surgem como resposta do ser humano pela busca de otimização da sua zona de conforto, da qualidade de ar interior e da eficiência energética. Assim, para que não se sacrifique o conforto térmico, há que conciliar a qualidade de ar interior com a energia dispensada para climatizar os espaços. Para ajudar à minimização de CO2 em conjunto com uma eficiência energética e conforto térmico, traduzindo-se numa melhor qualidade de ar no interior de espaços climatizados, surge o objetivo de implementar uma aplicação através do software LabVIEW para prever uma experiência real. Como solução, recorreu-se a modelos matemáticos que traduzissem os vários balanços térmicos, balanços de massa e de CO2. As principais conclusões deste trabalho foram: validação do comportamento do modelo matemático da temperatura; validação do comportamento do modelo matemático de CO2; humidade relativa com 25% de registos válidos.

Urban land cover change detection analysis and modeling spatio-temporal Growth dynamics using Remote Sensing and GIS Techniques: A case study of Dhaka, Bangladesh

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Modeling microbes: New methods for integrated metabolic and regulatory network reconstruction

PhD Thesis in Bioengineering

Pre-clinical trials for Machado-Joseph Disease: Hypothesis-based and hypothesis-free therapeutic approaches

Tese de Doutoramento em Ciências da Saúde

Measurement with Some Theory: a New Approach to Evaluate Business Cycle Models

We propose a method to evaluate cyclical models which does not require knowledge of the DGP and the exact empirical specification of the aggregate decision rules. We derive robust restrictions in a class of models; use some to identify structural shocks and others to evaluate the model or contrast sub-models. The approach has good size and excellent power properties, even in small samples. We show how to examine the validity of a class of models, sort out the relevance of certain frictions, evaluate the importance of an added feature, and indirectly estimate structural parameters.

Business cycle measurement with some theory

A method to evaluate cyclical models not requiring knowledge of the DGP and the exact specificationof the aggregate decision rules is proposed. We derive robust restrictions in a class of models; use someto identify structural shocks in the data and others to evaluate the class or contrast sub-models. Theapproach has good properties, even in small samples, and when the class of models is misspecified. Themethod is used to sort out the relevance of a certain friction (the presence of rule-of-thumb consumers)in a standard class of models.

Systematic review of population pharmacokinetic analyses of imatinib and relationships with treatment outcomes

Several population pharmacokinetic (PPK) analyses of the anticancer drug imatinib have been performed to investigate different patient populations and covariate effects. The present analysis offers a systematic qualitative and quantitative summary and comparison of those. Its primary objective was to provide useful information for evaluating the expectedness of imatinib plasma concentration measurements in the frame of therapeutic drug monitoring. The secondary objective was to review clinically important concentration-effect relationships to provide help in evaluating the potential suitability of plasma concentration values. Nine PPK models describing total imatinib plasma concentration were identified. Parameter estimates were standardized to common covariate values whenever possible. Predicted median exposure (Cmin) was derived by simulations and ranged between models from 555 to 1388 ng/mL (grand median: 870 ng/mL and interquartile "reference" range: 520-1390 ng/mL). Covariates of potential clinical importance (up to 30% change in pharmacokinetic predicted by at least 1 model) included body weight, albumin, α1 acid glycoprotein, and white blood cell count. Various other covariates were included but were statistically not significant or seemed clinically less important or physiologically controversial. Concentration-response relationships had more importance below the average reference range and concentration-toxicity relationships above. Therapeutic drug monitoring-guided dosage adjustment seems justified for imatinib, but a formal predictive therapeutic range remains difficult to propose in the absence of prospective target concentration intervention trials. To evaluate the expectedness of a drug concentration measurement in practice, this review allows comparison of the measurement either to the average reference range or to a specific range accounting for individual patient characteristics. For future research, external PPK model validation or meta-model development should be considered.

Use of niche models in invasive species risk assessments.

Risk maps summarizing landscape suitability of novel areas for invading species can be valuable tools for preventing species' invasions or controlling their spread, but methods employed for development of such maps remain variable and unstandardized. We discuss several considerations in development of such models, including types of distributional information that should be used, the nature of explanatory variables that should be incorporated, and caveats regarding model testing and evaluation. We highlight that, in the case of invasive species, such distributional predictions should aim to derive the best hypothesis of the potential distribution of the species by using (1) all distributional information available, including information from both the native range and other invaded regions; (2) predictors linked as directly as is feasible to the physiological requirements of the species; and (3) modelling procedures that carefully avoid overfitting to the training data. Finally, model testing and evaluation should focus on well-predicted presences, and less on efficient prediction of absences; a k-fold regional cross-validation test is discussed.

Modeling growth and yield of loblolly pinestands under intensive management

Abstract:The objective of this work was to develop and validate a prognosis system for volume yield and basal area of intensively managed loblolly pine (Pinus taeda) stands, using stand and diameter class models compatible in basal area estimates. The data used in the study were obtained from plantations located in northern Uruguay. For model validation without data loss, a three-phase validation scheme was applied: first, the equations were fitted without the validation database; then, model validation was carried out; and, finally, the database was regrouped to recalibrate the parameter values. After the validation and final parameterization of the models, a simulation of the first commercial thinning was carried out. The developed prognosis system was precise and accurate in estimating basal area production per hectare or per diameter classes. There was compatibility in basal area estimates between diameter class and whole stand models, with a mean difference of -0.01 m2ha-1. The validation scheme applied is logic and consistent, since information on the accuracy and precision of the models is obtained without the loss of any information in the estimation of the models' parameters.

Mittausmenetelmien kehittaminen kuplakolonnille

Kuplakolonnireaktoreiden CFD-mallinnus on talla hetkella voimakkaasti kehittyva tutkimusalue. Kaksifaasivirtauksen luotettava simulointi ja mallintaminen on haastavaa kuplakolonnireaktorissa tapahtuvien ilmioiden monimutkaisuuden vuoksi. Reaktorin kayttaytymiseen vaikuttavat tekijat, kuten kolonnin hydrodynamiikka ja aineensiirto, tulee tuntea hyvin ennen mallien tekoa. Tassa tyossa on kokeellisesti tutkittu erilaisten mittausmenetelmien soveltuvuutta kuplakolonnin hydrodynamiikan tutkimiseen. Mittausmenetelmissa on keskitytty erityisesti CFD-mallien vaatimiin paikallisiin mittauksiin. Lisaksi tyossa on arvioitu mittausmenetelmien soveltuvuutta j a luotettavuutta CFD-mallien validointiin. Tyon kirjallisuusosassa on perehdytty kuplakolonnireaktorin hydrodynaamiseen kayttaytymiseen ja siihen vaikuttaviin tekijoihin. Naita ovat mm. reaktorityypit, kaasun dispergointi, virtaustyypit ja -alueet, kaasun tilavuusosuus, kaasukuplan koko ja kuplan nousunopeus. Mittauksia tehtiin kahdessa erikokoisessa kuplakolonnissa, joista pienemman halkaisija oli 0,078 m ja suuremman 0,182 m. Molempien kolonnien nestepinnan korkeus oli 4,62 m. Mittaukset tehtiin vesijohtovedella ja epaorgaanisella prosessiliuoksella. Hydrodynaamisista ominaisuuksista mitattiin kaasun tilavuusosuus, kaasukuplan koko seka kaasukuplan nousunopeus. Kaasun tilavuusosuusmittaukset tehtiin paaasiassa paine-eromittauksella ja joissakin tapauksissa pinnanmittausmenetelmalla. Kuplakoko- ja kuplan nousunopeusmittaukset tehtiin suumopeusvideokameralla ja laser Doppler-anemometrilla. Mittauksissa kaytettiin kahdeksaa erilaista kaasunjakolaitetta, joilla selvitettiin kaasunjakolaitteen ominaisuuksien vaikutusta kolonnin hydrodynamiikkaan. Tuloksista havaittiin, etta nestefaasin ominaisuuksilla oli suuri vaikutus kolonnin hydrodynaamiseen kayttaytymiseen. En kaasunjakolaitteilla vesijohtovedella mitatut hydrodynaamiset ominaisuudet eivat poikenneet paljoa toisistaan, kun taas prosessiliuoksella kaasunjakolaitteiden valille saatiin huomattavat erot. Mittausmenetelmista laser Doppler-anemometri ei kaytettavissa olleella optiikalla soveltunut kaasukuplien mittaamiseen. Kuplat olivat menetelmalle liian suuria. Suumopeusvideokamerallaja paine-eromittauksella paastiin hyviin tuloksiin.

Coolant Flow and Heat Transfer in Pebble-Bed Reactor Core

This thesis gathers knowledge about ongoing high-temperature reactor projects around the world. Methods for calculating coolant flow and heat transfer inside a pebble-bed reactor core are also developed. The thesis begins with the introduction of high-temperature reactors including the current state of the technology. Process heat applications that could use the heat from a high-temperature reactor are also introduced. A suitable reactor design with data available in literature is selected for the calculation part of the thesis. Commercial computational fluid dynamics software Fluent is used for the calculations. The pebble-bed is approximated as a packed-bed, which causes sink terms to the momentum equations of the gas flowing through it. A position dependent value is used for the packing fraction. Two different models are used to calculate heat transfer. First a local thermal equilibrium is assumed between the gas and solid phases and a single energy equation is used. In the second approach, separate energy equations are used for the phases. Information about steady state flow behavior, pressure loss, and temperature distribution in the core is obtained as results of the calculations. The effect of inlet mass flow rate to pressure loss is also investigated. Data found in literature and the results correspond each other quite well, considered the amount of simplifications in the calculations. The models developed in this thesis can be used to solve coolant flow and heat transfer in a pebble-bed reactor, although additional development and model validation is needed for better accuracy and reliability.

Spatio-temporal modelling of the duration of the cotton cycle in the State Of Goiás, Brazil

The objective of this work was to develop and validate a mathematical model to estimate the duration of cotton (Gossypium hirsutum L. r. latifolium hutch) cycle in the State of Goiás, Brazil, by applying the method of growing degree-days (GD), and considering, simultaneously, its time-space variation. The model was developed as a linear combination of elevation, latitude, longitude, and Fourier series of time variation. The model parameters were adjusted by using multiple-linear regression to the observed GD accumulated with air temperature in the range of 15°C to 40°C. The minimum and maximum temperature records used to calculate the GD were obtained from 21 meteorological stations, considering data varying from 8 to 20 years of observation. The coefficient of determination, resulting from the comparison between the estimated and calculated GD along the year was 0.84. Model validation was done by comparing estimated and measured crop cycle in the period from cotton germination to the stage when 90 percent of bolls were opened in commercial crop fields. Comparative results showed that the model performed very well, as indicated by the Pearson correlation coefficient of 0.90 and Willmott agreement index of 0.94, resulting in a performance index of 0.85.

Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets

The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns.

Painevesityyppisen ydinvoimalaitoksen sekundääripiirin mallinnus

Tutkimuksen tavoitteena oli kehittää entistä tarkempi ja luotettavampi työkalu Loviisan ydinvoimalaitoksen ensimmäisen reaktoriyksikön sekundääripiirin 50-linjan stationääritilan toiminnan arviointiin. Toisena tavoitteena oli kartoittaa ja raportoida mallintamiseen käytetyn SOLVO-ohjelman kehitysmahdollisuuksia. Tutkimusten perusteella kehitettiin testatusti toimiva prosessimalli, joka dokumentoitiin ja validoitiin yksityiskohtaisesti. Tulevaisuudessa tapahtuvaa kehitystyötä, ja mallin käyttöä varten kehitettiin lisäksi Excel-pohjainen työkalu, jonka avulla SOLVO:n ja Excelin välinen integraatio voidaan myöhemmin julkaistavassa SOLVO:n versiossa viedä nykyistä pidemmälle. Mallintamistyön ohella tutkimuksen aikana selvitettiin olennaisimmat SOLVO:n erityispiirteet ja vahvuudet sekä kartoitettiin sen käyttöön liittyvät kehitystarpeet. Tärkeimpänä kehitysehdotuksena nousi esiin yksittäisissä komponenteissa suoritetun laskennan läpinäkyvyyden parantaminen. Seuraavassa kehitysvaiheessa myös komponenttikohtaiset laskentayhtälöt olisi suositeltavaa asettaa avoimiksi käyttäjäkohtaisille muutoksille. Työn aikana saavutettiin myös muita merkittäviä tuloksia, jotka liittyivät pääosin rinnak-kaisten 10- ja 50-linjojen välisiin yhteyksiin. Linjojen välisiä vaikutuksia analysoitaessa huomattiin niiden olevan olennaisessa asemassa erityisesti sarja-ajon aikana. Mikäli mallilla halutaan kuvata sekä sarja- että rinnanajoa, sen on käsitettävä molemmat linjat ja kaikki niihin liittyvät komponentit. Edellä mainitun lisäksi mallipohjaisen tarkastelun tuloksena tehtiin havaintoja, joiden perusteella nykyistä prosessia voidaan edelleen kehittää. Näistä havainnoista tärkeimpänä merivesipumppujen optimaalisen säätölämpötilan todettiin asettuvan 4,5 – 4,6 °C välille. Toinen huomio liittyi matalapaineturbiinien ulosvirtaushäviöihin, joihin hukataan juoksusta riippuen keskimäärin noin 10 kJ/kg enemmän entalpiaa kuin parhaassa mahdollisessa tapauksessa. Validoinnin yhteydessä havaituista pienistä poikkeamista huolimatta kehitetty malli vastaa hyvin laitokselta saatuja mittaustuloksia sekä muita samassa yhteydessä käytettyjä luotet-tavuuden arviointikriteerejä.

Parametrisen kustannusmallin validointi ja implementointi

Parametric cost modeling is a technique, where cost estimating relationships are built to meet products’ parameters. Parameters are directly defined from product features, when it is possible to solve product cost exact before even a single product is manufactured and calculated with general cost accounting. The parametric model can be used in product design, sourcing and comparing product cost of similar products. The model reveals the cost origin more clear than general accounting. The purpose of this thesis was to find out parameters for modeling elevator doors and validate the parameters to meet actual costs. The other target was to simulate cost impact and changes in the cost structure. The results were compared to previous calculations and actual costs and model was tested in new product design. The results of the calculations revealed, that material consumption is the most significant issue in design effectiveness as well as the complexity of the components and structure. To develop the model more research is needed for other continents cost structure and waste calculation principles.