Application and development of numerical methods for the modelling of innovative gas cooled fission reactors

Innovative gas cooled reactors, such as the pebble bed reactor (PBR) and the gas cooled fast reactor (GFR) offer higher efficiency and new application areas for nuclear energy. Numerical methods were applied and developed to analyse the specific features of these reactor types with fully three dimensional calculation models. In the first part of this thesis, discrete element method (DEM) was used for a physically realistic modelling of the packing of fuel pebbles in PBR geometries and methods were developed for utilising the DEM results in subsequent reactor physics and thermal-hydraulics calculations. In the second part, the flow and heat transfer for a single gas cooled fuel rod of a GFR were investigated with computational fluid dynamics (CFD) methods. An in-house DEM implementation was validated and used for packing simulations, in which the effect of several parameters on the resulting average packing density was investigated. The restitution coefficient was found out to have the most significant effect. The results can be utilised in further work to obtain a pebble bed with a specific packing density. The packing structures of selected pebble beds were also analysed in detail and local variations in the packing density were observed, which should be taken into account especially in the reactor core thermal-hydraulic analyses. Two open source DEM codes were used to produce stochastic pebble bed configurations to add realism and improve the accuracy of criticality calculations performed with the Monte Carlo reactor physics code Serpent. Russian ASTRA criticality experiments were calculated. Pebble beds corresponding to the experimental specifications within measurement uncertainties were produced in DEM simulations and successfully exported into the subsequent reactor physics analysis. With the developed approach, two typical issues in Monte Carlo reactor physics calculations of pebble bed geometries were avoided. A novel method was developed and implemented as a MATLAB code to calculate porosities in the cells of a CFD calculation mesh constructed over a pebble bed obtained from DEM simulations. The code was further developed to distribute power and temperature data accurately between discrete based reactor physics and continuum based thermal-hydraulics models to enable coupled reactor core calculations. The developed method was also found useful for analysing sphere packings in general. CFD calculations were performed to investigate the pressure losses and heat transfer in three dimensional air cooled smooth and rib roughened rod geometries, housed inside a hexagonal flow channel representing a sub-channel of a single fuel rod of a GFR. The CFD geometry represented the test section of the L-STAR experimental facility at Karlsruhe Institute of Technology and the calculation results were compared to the corresponding experimental results. Knowledge was gained of the adequacy of various turbulence models and of the modelling requirements and issues related to the specific application. The obtained pressure loss results were in a relatively good agreement with the experimental data. Heat transfer in the smooth rod geometry was somewhat under predicted, which can partly be explained by unaccounted heat losses and uncertainties. In the rib roughened geometry heat transfer was severely under predicted by the used realisable k − epsilon turbulence model. An additional calculation with a v2 − f turbulence model showed significant improvement in the heat transfer results, which is most likely due to the better performance of the model in separated flow problems. Further investigations are suggested before using CFD to make conclusions of the heat transfer performance of rib roughened GFR fuel rod geometries. It is suggested that the viewpoints of numerical modelling are included in the planning of experiments to ease the challenging model construction and simulations and to avoid introducing additional sources of uncertainties. To facilitate the use of advanced calculation approaches, multi-physical aspects in experiments should also be considered and documented in a reasonable detail.

Sotilaspolitiikka Kremlin Olympoksella. Venäjän sotilasreformin diskursiivinen rakentuminen venäläisessä sanomalehdistössä 2008–2012

Tutkimus käsittelee venäläisessä sanomalehdistössä esiintyvää keskustelua Venäjän sotilasreformista. Tutkimuksessa haluttiin selvittää, millaisia diskursseja keskustelussa käytetään sotilasreformin oikeuttamiseksi ja miten ne toimivat vallankäytön välineenä. Tutkimus on monitieteinen. Se antaa vastauksia kielitieteellisessä kehyksessä kielen ja diskurssin roolista päätöksenteossa, yhteiskuntatieteellisessä kehyksessä venäläisestä mediasta ja päätöksentekojärjestelmästä sekä sotatieteellisessä kehyksessä asevoimien kehityksestä ja sotilaspolitiikasta. Tutkimuksen primääriaineisto muodostuu 220 artikkelista, jotka kerättiin yhdeksästä venäläisestä sanomalehdestä vuosien 2008–2012 ajalta. Venäjän johtohenkilöt ja heitä tukevat sanomalehdet oikeuttivat sotilasreformia julkisessa keskustelussa ensisijaisesti viiden syyn avulla: uhkien lisääntymisellä, sodan kuvan muutoksella, asevoimien kalustollisella ja toiminnallisella jälkeenjääneisyydellä, henkilöstön osaamisen alhaisella tasolla ja tarpeella toiminnan järkeistykseen. Sotilasreformin päätöksiä oikeutettiin vetoamalla niiden huolelliseen suunnitteluun, henkilöstön asialliseen kohteluun ja taloudellisten asioiden vakauteen. Sanomalehdistössä esiintyi paljon toisistaan poikkeavia näkemyksiä kehitykseen tarvittavasta suunnasta. Suurin osa kritisoivista diskursseista keskittyi kritisoimaan reformin toteutusta, ei sen olemassaoloa. Kritiikki keskittyi tiedotuksen ja demokraattisen päätöksenteon puutteeseen sekä epäilyksiin reformin valmisteluprosessista. Venäjän asevoimia ja sotilaspolitiikkaa koskevaa uutisointia on ongelmallista tarkastella ilman diskurssikäytäntöjen huomiointia. Venäjän johdon ja sen legitimiteettiä vahvistavien sanomalehtien diskursiivisen vallankäytön tavoitteena on saada Venäjä näyttämään todellisuutta vahvemmalta ja yhtenäisemmältä. Vaikka venäläinen media ja siinä etenkin televisio ei ole vapaata, sanomalehdistö on verrattain hyvä tiedonlähde. Sen varsin monipuolinen omistajuus tutkimusaineiston rajauksen aikana mahdollisti erilaisten näkökulmien esillepääsyn. Analyyttisimmin sotilasreformista uutisoivat ne sanomalehdet, jotka eivät nähneet länsimaita Venäjän uhkana ja representoivat diskursseissaan liberalistisia arvoja kuten avoimuutta ja demokratiaa. Sanomalehdistön vaatimaton rooli venäläisessä mediakentässä heikentää kuitenkin sen vaikuttavuutta yleiseen mielipiteeseen. Sanomalehtien diskurssikäytäntöjen analysointi ideologioiden ja vallankäytön kautta voi tarjota mahdollisuuksia parantaa venäläisen valtionjohdon päätösten ennustettavuutta.

Koulutuspalveluyrityksen kansainvälinen laajentuminen

Tämän tutkimuksen tarkoituksena on tarkastella kansallisen palveluyrityksen laajentumista uusille kansainvälisille markkinoille. Kohdemaana oli Venäjä. Päähuomio keskittyy ylimmän johdon toimiin, heidän rooliinsa laajentumisessa ja kuinka luoda onnistunut laajentumisstrategia. Tutkimuksen lähtökohdat poikkeavat perinteisistä laajentumistutkimuksista, sillä tässä tutkimuksessa keskitytään yhteen erityiseen tapaukseen ja laajentuminen tapahtuu Venäjän riskialttiille markkinoille. Yritys operoi myös tuotealan sijaan palvelualalla. Tutkimuksen tulokset osoittavat, että laajentuminen uudelle markkina-alueelle on laaja ja monimutkainen prosessi, jota ei tule väheksyä. Partnerin kanssa toimiminen vähentää suoraa riskiä, mutta toisaalta nostaa esiin toisenlaisia haasteita kuten kulttuurien välisiä näkemyseroja johtajuuteen tai jokapäiväiseen toimenpiteiden suorittamiseen. Uudelle markkina-alueelle vaaditaan ympäristöön sopiva strategia ja sen luominen entuudestaan tuntemattomalle alueelle vaatii uusia valmiuksia. Keskeistä on johtaa aktiivisesti halutun strategian toteuttamiseksi muistaen selkeän viestinnän ja realistisen aikataulusuunnittelun. Kilpailijoiden analysointia ei saa unohtaa ja sitä pitää toteuttaa jatkuvalla aikataululla. Toisin kuin useimmat markkinalaajentumista käsittelevät tutkimukset, tämä tutkimus keskittyy ylimmän johdon toimintaan.

Analyzing the Effects of the New Renewable Energy Policy in Russia on Investments into Wind, Solar and Small Hydro Power

This thesis presents an analysis of recently enacted Russian renewable energy policy based on capacity mechanism. Considering its novelty and poor coverage by academic literature, the aim of the thesis is to analyze capacity mechanism influence on investors’ decision-making process. The current research introduces a number of approaches to investment analysis. Firstly, classical financial model was built with Microsoft Excel® and crisp efficiency indicators such as net present value were determined. Secondly, sensitivity analysis was performed to understand different factors influence on project profitability. Thirdly, Datar-Mathews method was applied that by means of Monte Carlo simulation realized with Matlab Simulink®, disclosed all possible outcomes of investment project and enabled real option thinking. Fourthly, previous analysis was duplicated by fuzzy pay-off method with Microsoft Excel®. Finally, decision-making process under capacity mechanism was illustrated with decision tree. Capacity remuneration paid within 15 years is calculated individually for each RE project as variable annuity that guarantees a particular return on investment adjusted on changes in national interest rates. Analysis results indicate that capacity mechanism creates a real option to invest in renewable energy project by ensuring project profitability regardless of market conditions if project-internal factors are managed properly. The latter includes keeping capital expenditures within set limits, production performance higher than 75% of target indicators, and fulfilling localization requirement, implying producing equipment and services within the country. Occurrence of real option shapes decision-making process in the following way. Initially, investor should define appropriate location for a planned power plant where high production performance can be achieved, and lock in this location in case of competition. After, investor should wait until capital cost limit and localization requirement can be met, after that decision to invest can be made without any risk to project profitability. With respect to technology kind, investment into solar PV power plant is more attractive than into wind or small hydro power, since it has higher weighted net present value and lower standard deviation. However, it does not change decision-making strategy that remains the same for each technology type. Fuzzy pay-method proved its ability to disclose the same patterns of information as Monte Carlo simulation. Being effective in investment analysis under uncertainty and easy in use, it can be recommended as sufficient analytical tool to investors and researchers. Apart from described results, this thesis contributes to the academic literature by detailed description of capacity price calculation for renewable energy that was not available in English before. With respect to methodology novelty, such advanced approaches as Datar-Mathews method and fuzzy pay-off method are applied on the top of investment profitability model that incorporates capacity remuneration calculation as well. Comparison of effects of two different RE supporting schemes, namely Russian capacity mechanism and feed-in premium, contributes to policy comparative studies and exhibits useful inferences for researchers and policymakers. Limitations of this research are simplification of assumptions to country-average level that restricts our ability to analyze renewable energy investment region wise and existing limitation of the studying policy to the wholesale power market that leaves retail markets and remote areas without our attention, taking away medium and small investment into renewable energy from the research focus. Elimination of these limitations would allow creating the full picture of Russian renewable energy investment profile.

Narrow Gap flux-cored arc welding of high strength shipbuilding steels

This thesis is part of the Arctic Materials Technologies Development –project. The research of the thesis was done in cooperation with Arctech Helsinki Shipyard, Lappeenranta University of Technology and Kemppi Oy. Focus of the thesis was to study narrow gap flux-cored arc welding of two high strength steels with three different groove angles of 20°, 10° and 5°. Welding of the 25 mm thick E500 TMCP and 10 mm thick EH36 steels was mechanized and Kemppi WisePenetration and WiseFusion processes were tested with E500 TMCP steel. EH36 steel test pieces were welded without Wise processes. Shielding gases chosen were carbon dioxide and a mixture of argon and carbon dioxide. Welds were tested with non-destructive and destructive testing methods. Radiographic, visual, magnetic particle and liquid penetrant testing proved that welds were free from imperfections. After non-destructive testing, welds were tested with various destructive testing methods. Impact strength, bending, tensile strength and hardess tests proved that mechanized welding and Wise processes produced quality welds with narrower gap. More inconsistent results were achieved with test pieces welded without Wise processes. Impact test results of E500 TMCP exceeded the 50 J limit on weld, set by Russian Maritime Register of Shipping. EH36 impact test results were much closer to the limiting values of 34 J on weld and 47 on HAZ. Hardness values of all test specimens were below the limiting values. Bend testing and tensile testing results fulfilled the the Register requirements. No cracking or failing occurred on bend test specimens and tensile test results exceeded the Register limits of 610 MPa for E500 TMCP and 490 MPa for EH36.

Forest inventory information needs in Northwest Russia

This thesis applies the customer value hierarchy model to forestry in order to determine strategic options to enhance the value of LiDAR technology in Russian forestry. The study is conducted as a qualitative case study with semi-structured interviews as a main source of the primary data. The customer value hierarchy model constitutes a theoretical base for the research. Secondary data incorporates information on forest resource management, LiDAR technology and Russian forestry. The model is operationalised using forestry literature and forms a basis for analyses of primary data. Analyses of primary data coupled with comprehension of Russian forest inventory system and knowledge on global forest inventory have led to conclusions on the forest inventory methods selection criteria and the organizations that would benefit the most from LiDAR technology use. The thesis recommends strategic options for LiDAR technology’s value enhancement in Russian forestry.

Baltic. Gulf of Finland. Sheet VII, Hogland to St. Petersburg / Hydrographic Office.

0-meridiaani: Greenwich.

The northern provinces of Sweden and Norway with part I, of Russia / published under the superintendence of the Society for the Diffusion of Useful Knowledge.

[N. 1:4400000].

Russia in Europe / engraved by J. & C. Walker.

Janamittakaavat: Russian verstes ; English miles.

Russia or Moscovy in Europe. Drawn by the latest authorities, by Tho.s Kitchin geo.r.

Janamittakaava: Russian wersts.

The role of network competence and international business competence in multinational corporations: Subsidiary perspective

On-going process of globalization makes companies all over the world to go beyond the national markets and internationalize. Organizational form of multinational corporation (MNC) has capabilities for establishing the affiliate companies in several countries. Thus, the relocation of resources occurs and particularly, the cross-border transfer of knowledge which possesses the competitive advantage. However, differences in countries` business environments and cultures may constrain this capability. The research aim of this thesis is to investigate the role of subsidiary’s network competence (ability to build and manage the relationships with other local business units) and international business competence in relation to the benefits that MNC receives from a subsidiary. Additionally, subsidiary’s business adaptation, partnerships and knowledge transfer mechanism with parent company and external partners are investigated. This research, conducted in the Finnish-Russian context, consists of theoretical and empirical parts. The qualitative approach in the form of multiple case studies is employed. The empirical data incorporated primary and secondary data in the form of interviews collected in 2013 and 2015 years. Interviews were collected from four Finnish case companies in Saint-Petersburg and Kaluga region and five Russian partner companies. Results are drawn from two cases from Saint-Petersburg. The abductive research approach for the results analysis is adopted. The results indicate that both competencies lead to the subsidiary’s local embeddedness in the form of mutual business activities with local business partners and product adaptation for the local market needs. In addition to the monetary benefits in form of payments or turnover share, local embeddedness brings the knowledge of the local environment which is utilized by an MNC in the long-term planning. Another found tacit benefit is the access to the national market. This is strategically useful benefit not only for parent MNC but also for the subsidiary’s partners, i.e. international suppliers.

Determinants of capital expenditures: Evidence from oil and mining sectors in Russia

This master’s thesis investigates the significant macroeconomic and firm level determinants of CAPEX in Russian oil and mining sectors. It also studies the Russian oil and mining sectors, its development, characteristics and current situation. The panel data methodology was implemented to identify the determinants of CAPEX in Russian oil and mining sectors and to test derived hypotheses. The core sample consists of annual financial data of 45 publicly listed Russian oil and mining sector companies. The timeframe of the thesis research is a six year period from 2007 to 2013. The findings of the master’s thesis have shown that Gross Sales, Return On Assets, Free Cash Flow and Long Term Debt are firm level performance variables along with Russian GDP, Export, Urals and the Reserve Fund are macroeconomic variables that determine the magnitude of new capital expenditures reported by publicly listed Russian oil and mining sector companies. These results are not controversial to the previous research paper, indeed they confirm them. Furthermore, the findings from the emerging countries, such as Malaysia, India and Portugal, are analogous to Russia. The empirical research is edifying and novel. Findings from this master’s thesis are highly valuable for the scientific community, especially, for researchers who investigate the determinant of CAPEX in developing countries. Moreover, the results can be utilized as a cogent argument, when companies and investors are doing strategic decisions, considering the Russian oil and mining sectors.

Forest inventory information needs in Northwest Russia

This research report applies the customer value hierarchy model to forestry in order to determine strategic options to enhance the value of LiDAR technology in Russian forestry. The study is conducted as a qualitative case study with semi-structured interviews as a main source of the primary data. The customer value hierarchy model constitutes a theoretical base for the research. Secondary data incorporates information on forest resource management, LiDAR technology and Russian forestry. The model is operationalised using forestry literature and forms a basis for analyses of primary data. Analyses of primary data coupled with comprehension of Russian forest inventory system and knowledge on global forest inventory have led to conclusions on the forest inventory methods selection criteria and the organizations that would benefit the most from LiDAR technology use. The report recommends strategic options for LiDAR technology’s value enhancement in Russian forestry. This work has been conducted as a part of the project ‘Finnish-Russian Forest Academy 2 - Exploiting and Piloting’, which has been supported financially by the South-East Finland- Russia ENPI CBC 2007-2014 Programme.

Venäjän kaupan liikeriskien riskienhallinta: Case Martela

Tässä kandidaatin työssä tutkitaan suomalaisen pk-yrityksen kannalta merkittävimpiä liikeriskejä Venäjällä sekä keskeisimpiä keinoja näiltä riskeiltä suojautumiseen. Työn empiirisessä osassa on käytetty valitun case-yhtiön sekä Suomalais-Venäläisen kauppakamarin edustajan näkemyksiä tukemaan työn teoreettista pohjaa.

Capital investments planning and life cycle simulations for the new valves manufacturing facility in Russia

The focus of the research is on the derivation of the valid and reliable performance results regarding establishment and launching of the new full-scale industrial facility, considering the overall current conditions for the project realization in and out of Russia. The study demonstrates the process of the new facility concept development, with following perfor-mance calculation, comparative analyzes conduction, life-cycle simulations, performance indicators derivation and project`s sustainability evaluation. To unite and process the entire input parameters complexity, regards the interlacing between the project`s internal technical and commercial sides on the one hand, and consider all the specifics of the Russian conditions for doing business on the other hand, was developed the unique model for the project`s performance calculation, simulations and results representation. The complete research incorporates all corresponding data to substantiate the assigned facility`s design, sizing and output capacity for high quality and cost efficient ferrous pipe-line accessories manufacturing, as well as, demonstrates that this project could be suc-cessfully realized in current conditions in Russia and highlights the room for significant performance and sustainability improvements based on the indexes of the derived KPIs.