Statistical Analysis and Numerics of Heat Exchanger Models

The identifiability of the parameters of a heat exchanger model without phase change was studied in this Master’s thesis using synthetically made data. A fast, two-step Markov chain Monte Carlo method (MCMC) was tested with a couple of case studies and a heat exchanger model. The two-step MCMC-method worked well and decreased the computation time compared to the traditional MCMC-method. The effect of measurement accuracy of certain control variables to the identifiability of parameters was also studied. The accuracy used did not seem to have a remarkable effect to the identifiability of parameters. The use of the posterior distribution of parameters in different heat exchanger geometries was studied. It would be computationally most efficient to use the same posterior distribution among different geometries in the optimisation of heat exchanger networks. According to the results, this was possible in the case when the frontal surface areas were the same among different geometries. In the other cases the same posterior distribution can be used for optimisation too, but that will give a wider predictive distribution as a result. For condensing surface heat exchangers the numerical stability of the simulation model was studied. As a result, a stable algorithm was developed.

Paineviemärissä muodostuvan rikkivedyn vähentäminen kemikaloimalla

Anaerobisissa olosuhteissa muodostuva rikkivetykaasu on tyypillinen ongelma etenkin pitkillä paineviemäriosuuksilla. Sille ominainen epämiellyttävä haju aiheuttaa jätevedenkäsittelyverkostoissa ja viemärilinjojen lähialueilla merkittäviä hajuongelmia. Lisäksi rikkivedyn hapettuessa rikkihapoksi viemäri joutuu alttiiksi korroosiolle. Helsingin Etelä rannassa sijaitsevaan Munkkisaareen päätyy 4,4 km pitkä paineviemäri. Viemärin tuuletusputken kautta leviävä rikkivety on aiheuttanut hajuongelmia alueella. Korkeimmat mitatut rikkivetypitoisuudet tuuletusputken läheisyydessä olivat jopa 300 ppm. Tutkimuksessa tehtiin koeajoja erilaisilla hajunpoistokemikaaleilla rikkivetyongelman ratkaisemiseksi. Viemäriin annosteltiin sen alkupäässä jatkuvatoimisesti ferrosulfaattia ja ferrinitraattisulfaattia, sekä shokki-käsittelyllä natriumhydroksidia (lipeää). Munkkisaaressa mitatut rikkivetypitoisuudet osoittivat käytettyjen kemikaalien tehokkuuden rikkivedyn poistossa. Rikkivedyn saostamiseen tarkoitetut rautasuolat (ferrosulfaatti ja ferrinitraattisulfaatti) vähensivät 100 - 150 g annoksilla rikkivetyä yli 90 prosenttia. Natriumhydroksin annoksella 3600 g/m³ viemärin mikrobiologinen toiminta voitiin estää keskimäärin kymmeneksi päiväksi, mutta tehokas rikkivedyn muodostumisen esto vaatisi käsittelyn uusimisen noin 5 päivän välein. Normaaleissa viemärin olosuhteissa rikkivetyä muodostui vuorokauden aikana yhtä neliömetriä kohden noin 10 g. Kemikaalikäsittelyjen avulla muodostuminen aleni parhaimmillaan kymmenesosaan alkuperäisestä. Tulosten perusteella kemikaalien käytöllä viemärissä voisi välttyä kalliilta saneeraukselta Munkkisaaressa sekä muissa korroosiolle alttiiksi joutuvissa viemäreissä. Kemikalointikustannukset rautasuoloilla olivat noin 11 000 - 34 000 € ja lipeällä noin 7 000 € vuodessa.

Study of mesoscopic tunnel junctions between two normal metals

The main purpose of this work was to study different kinds of metal-based tunnel junctions at low temperatures. The problem which had to be solved was creating a junction with appropriate properties at these temperatures. The materials for junctions were found experimentally. The goal was to find an alloy material that can provide a high quality tunnel junction, which remains in the normal conductive state at low temperatures without applying magnetic field. The fabrication technology of such a device, based on an alloy of aluminium and manganese, is described in detail. In this thesis theoretical properties of tunnel junctions are considered and results of experiments with tunnel junctions are described and quantitative properties of the junctions are analyzed based on the experimental data.

Influence of Heat Treatment on Strength Properties of Finger-jointed Components

The purpose for the thesis was to study the thermo treatment of finger-jointed wood. The thesis concentrated on examining the tensile and bending strength of finger-jointed and thermo treated wood. The aim was to find out how different treatment temperature levels and adhesives influence the strength of wood that has been finger-jointed before heat treatment. Secondary objectives were to examine the influence of the treatment time at one temperature, determine differences in the strength between the joints in heartwood and sapwood, examine the visual appearance of the finger joints after the treatment and establish possibilities to reach a characteristic strength level corresponding to C14. Only minor differences in strength properties were measured between the finger-jointed wood treatments II and III. A greater difference was shown between these two treatment temperatures I, which lead to reduced strength. The average strength of joints glued with adhesive 2 was higher after treatments II and III compared to those glued with the adhesive 1. At the treatment temperature I, the adhesive 1 strength properties were at the same level compared to the adhesive 2 or better. There were not any significant differences.

Methods for construction and analysis of computational models in systems biology : applications to the modelling of the heat shock response and the self-assembly of intermediate filaments

Systems biology is a new, emerging and rapidly developing, multidisciplinary research field that aims to study biochemical and biological systems from a holistic perspective, with the goal of providing a comprehensive, system- level understanding of cellular behaviour. In this way, it addresses one of the greatest challenges faced by contemporary biology, which is to compre- hend the function of complex biological systems. Systems biology combines various methods that originate from scientific disciplines such as molecu- lar biology, chemistry, engineering sciences, mathematics, computer science and systems theory. Systems biology, unlike “traditional” biology, focuses on high-level concepts such as: network, component, robustness, efficiency, control, regulation, hierarchical design, synchronization, concurrency, and many others. The very terminology of systems biology is “foreign” to “tra- ditional” biology, marks its drastic shift in the research paradigm and it indicates close linkage of systems biology to computer science. One of the basic tools utilized in systems biology is the mathematical modelling of life processes tightly linked to experimental practice. The stud- ies contained in this thesis revolve around a number of challenges commonly encountered in the computational modelling in systems biology. The re- search comprises of the development and application of a broad range of methods originating in the fields of computer science and mathematics for construction and analysis of computational models in systems biology. In particular, the performed research is setup in the context of two biolog- ical phenomena chosen as modelling case studies: 1) the eukaryotic heat shock response and 2) the in vitro self-assembly of intermediate filaments, one of the main constituents of the cytoskeleton. The range of presented approaches spans from heuristic, through numerical and statistical to ana- lytical methods applied in the effort to formally describe and analyse the two biological processes. We notice however, that although applied to cer- tain case studies, the presented methods are not limited to them and can be utilized in the analysis of other biological mechanisms as well as com- plex systems in general. The full range of developed and applied modelling techniques as well as model analysis methodologies constitutes a rich mod- elling framework. Moreover, the presentation of the developed methods, their application to the two case studies and the discussions concerning their potentials and limitations point to the difficulties and challenges one encounters in computational modelling of biological systems. The problems of model identifiability, model comparison, model refinement, model inte- gration and extension, choice of the proper modelling framework and level of abstraction, or the choice of the proper scope of the model run through this thesis.