Analysis and modelling of chemical looping combustion process with and without oxygen uncoupling

Effective control and limiting of carbon dioxide (CO₂) emissions in energy production are major challenges of science today. Current research activities include the development of new low-cost carbon capture technologies, and among the proposed concepts, chemical combustion (CLC) and chemical looping with oxygen uncoupling (CLOU) have attracted significant attention allowing intrinsic separation of pure CO₂ from a hydrocarbon fuel combustion process with a comparatively small energy penalty. Both CLC and CLOU utilize the well-established fluidized bed technology, but several technical challenges need to be overcome in order to commercialize the processes. Therefore, development of proper modelling and simulation tools is essential for the design, optimization, and scale-up of chemical looping-based combustion systems. The main objective of this work was to analyze the technological feasibility of CLC and CLOU processes at different scales using a computational modelling approach. A onedimensional fluidized bed model frame was constructed and applied for simulations of CLC and CLOU systems consisting of interconnected fluidized bed reactors. The model is based on the conservation of mass and energy, and semi-empirical correlations are used to describe the hydrodynamics, chemical reactions, and transfer of heat in the reactors. Another objective was to evaluate the viability of chemical looping-based energy production, and a flow sheet model representing a CLC-integrated steam power plant was developed. The 1D model frame was succesfully validated based on the operation of a 150 kWth laboratory-sized CLC unit fed by methane. By following certain scale-up criteria, a conceptual design for a CLC reactor system at a pre-commercial scale of 100 MWth was created, after which the validated model was used to predict the performance of the system. As a result, further understanding of the parameters affecting the operation of a large-scale CLC process was acquired, which will be useful for the practical design work in the future. The integration of the reactor system and steam turbine cycle for power production was studied resulting in a suggested plant layout including a CLC boiler system, a simple heat recovery setup, and an integrated steam cycle with a three pressure level steam turbine. Possible operational regions of a CLOU reactor system fed by bituminous coal were determined via mass, energy, and exergy balance analysis. Finally, the 1D fluidized bed model was modified suitable for CLOU, and the performance of a hypothetical 500 MWth CLOU fuel reactor was evaluated by extensive case simulations.

Linking supplier delivery risk to outbound delivery service performance improvement

Customer satisfaction should be the main focus for all of the parts of the business. Usually supply chain behind the business is in a key role when this focus is pursued especially in repair service business. When focusing on the materials that are needed to make repairs to equipment under service contracts, the time aspect of quality is critical. Do late deliveries from supplier have an effect on the service performance of repairs when distribution center of a centralized purchasing unit is acting as a buffer between suppliers and repair service business? And if so, how should the improvement efforts be prioritized? These are the two main questions that this thesis focuses on. Correlation and linear regression was tested between service levels of supplier and distribution center. Percentage of on-time deliveries were compared to outbound delivery service level. It was found that there is statistically significant correlation between inbound and outbound operations success. The other main question of the thesis, improvement prioritization, was answered by creating material availability based supplier classification and additional to that, by developing the decision process for the analysis of most critical suppliers. This was built on a basis of previous supplier and material classification methods.

The demand-supply balancing process in supply chain management - case mining & metals industry equipment

The aim of this thesis is to search how to match the demand and supply effectively in industrial and project-oriented business environment. The demand-supply balancing process is searched through three different phases: the demand planning and forecasting, synchronization of demand and supply and measurement of the results. The thesis contains a single case study that has been implemented in a company called Outotec. In the case study the demand is planned and forecasted with qualitative (judgmental) forecasting method. The quantitative forecasting methods are searched further to support the demand forecast and long term planning. The sales and operations planning process is used in the synchronization of the demand and supply. The demand forecast is applied in the management of a supply chain of critical unit of elemental analyzer. Different meters on operational and strategic level are proposed for the measurement of performance.

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.

Food packaging indicators and sensors

Various categories of food packaging indicators namely; VTT, Ageless Eye, Mocon, Åbo Akademi and Impak were selected and incorporated into food trays manufactured at LUT packaging laboratory. Each of these food packaging indicators was used to investigate (visually and qualitatively) the transmission of oxygen through the seal, and tray material, as well as to detect microbial activity within the content of the package. Applications of different methods of gas flushing, content variation and introduction of two distinct levels of oxygen scavengers were employed as treatments to evaluate the packaging performance of the food packaging indicators. Ease of handling of each food packaging indicator was also taken into considerations. Findings showed that for packages, which contained chicken product, the amount of oxygen in the package, measured immediately after the sealing operation on the first day gradually decreased to zero percent by the third day of the storage period. The oxygen level remained at this point throughout the duration of storage for the chicken packages. Besides, level of oxygen in the packages without product continued to increase with the storage time, at moderate rate of 0.1% for 100%N2 and 0.3% for 30%CO2/70%N2 empty packages. More carbon dioxide gas was recorded for packages flushed with 30%CO2/70%N2. Results also revealed that visual analysis of one of the color indicators for example Ageless Eye, conformed to the data derived from the luminescence food-packaging indicator. This shows that packaging operation of the packaging line was considerably stable, and efficient with negligible exception. However, it was found that most of the food packaging indicators investigated in this research study exhibited considerable packaging challenges, such as, reaction with the content of the package (Impak); over sensitivity (Åbo Akademi and Impak); ease of handling problem (Åbo Akademi); and ease of activation problem (VTT indicators). In this study, the strengths and limitations of different indicators were analyzed. This study demonstrates the applicability of various indicators in MAP using chicken package application.

Sinkityslinjan pesuosan optimointi

Työn tavoitteena oli sinkityslinjan pesuosan toiminnan optimointi. Teoriakatsauksen ja haastattelututkimusten avulla työssä selvitettiin, mitkä tekijät pesuosalla tai teräsnauhan pesua edeltävissä prosessivaiheissa vaikuttavat pesutehoon alentavasti. Pesuosan ajoparametrien muutoskokeiden avulla määritettiin kunkin pesuparametrin suhteellinen vaikutus pesutulokseen sekä pesuosan optimaaliset ajoparametrit. Vaikutuksia arvioitiin pinnanpuhtauden ja pesuvesien laboratorioanalyysien sekä prosessidatan avulla. Jätevesianalyysien ja prosessidatan avulla arvioitiin lisäksi pesuosan muutosten vaikutusta pesusta syntyviä jätevesiä käsittelevän jätevesilaitoksen toimintaan. Laitetestauksen avulla työssä kartoitettiin, mikä menetelmä pinnanpuhtauden määrittämiseen soveltuu pesuosalle parhaiten. Kustannusarvioinnilla selvitettiin, millä toimin pesuosan toimintavarmuutta on edullisinta ylläpitää. Työn tulosten pohjalta lämpötilalla todettiin olevan pesutuloksen kannalta merkittävin vaikutus. Sen sijaan kemikaaliannostelun merkitys oli vähäinen. Vesien säännöllisen uudistamisen todettiin olevan olennainen pesuvesien ylläpitokeino nykyisessä pesutilanteessa. Se todettiin lisäksi ennakoivana toimenpiteenä kannattavammaksi kuin pesuosan täystyhjäykset ongelmatilanteissa. Teippitestein määritettävälle pinnanpuhtaudelle katsottiin sopivaksi vaihteluväliksi 40–75 %. Työssä todettiin, että pesua edeltävän kylmävalssin valssiöljyn vaihto sekä valssilla tuotetun teräsnauhan pinnanpuhtaus vaikuttavat merkittävästi pesuosan toimintakykyyn ja pesuosan pyörittämisestä aiheutuviin kustannuksiin. Toimenpiteet pesuosalla vaikuttavat lisäksi jätevesilaitoksen käsittelyvaatimuksiin, joskin myös tasaavat sen toimintaa. Työssä ehdotettiin ratkaisukeinoja pesuosan toimintavarmuuden varmistamiseksi jatkossa, sekä tarjottiin työkaluja, joiden avulla tulevissa investointipäätöksissä voidaan ottaa huomioon myös pesuosan toiminnan edellytykset.

Tuotantoympäristön jatkuva parantaminen

Tutkimuksen tavoitteena oli luoda kohdeyritykseen toimintamalli, jonka avulla saadaan osallistettua työntekijät, tiiminvetäjät ja työnjohto tuotannon jatkuvaan parantamiseen sekä parannettua tuotannon takaisinkytkentää tiimitasolla. Tutkimus rajattiin pilottitiimiin sekä tiimissä olevien työpisteiden kautta reititettyihin tuotteisiin. Ennen tutkimuksen aloitusta yrityksellä oli jo olemassa sähköinen aloitejärjestelmä, mutta sen käyttö oli organisaation uudelleen järjestelyjen myötä vähentynyt. Tutkimuksen teoriaosassa tutustuttiin jatkuvan parantamisen kulttuuriin ja työkaluihin. Lisäksi tutustuttiin laadunhallinnan sisältöön, käsitteistöön ja laadunvalvontatyökaluihin sekä tuotannon mittareihin. Teorian pohjalta tutkimuksessa luotiin jatkuvan parantamisen toimintamalli, joka tunnistaa ja eliminoi prosessissa olevaa hukkaa osallistamalla pilottitiimin työntekijöitä hukkakorttien avulla. Lisäksi tutkimuksessa luotiin toimintamalli tuotannon kehitysideoiden raportointiin ja käsittelyyn. Tuotannon takaisinkytkentää kehitettiin luomalla pilottitiimiin tuloskortti sekä perustamalla yritykseen päiväkatsauskäytäntö. Tutkimuksessa suoritettiin myös toimihenkilötason kehitysprojekteja käyttäen apuna teoriassa esiteltyjä malleja ja työkaluja. Tuloksena saatiin toimintamalli, joka tuottaa työntekijämäärään suhteutettuna enemmän kehitysideoita sekä käsittelee ne tehokkaammin kuin sähköinen aloitejärjestelmä. Hukkakorteilla toteutetun hukan raportoinnin kautta tunnistettiin ja raportoitiin seitsemän viikon tarkasteluajanjakson aikana yhteensä 23,6 tuntia hukka-aikaa. Tiimin tuloskortin avulla tiimin työntekijät pystyivät viikkotasolla seuraamaan oman tiiminsä suorituskykyä tavoitearvoihin verrattuna. Tämä näkyi muun muassa tiimin suoritustason nousuna. Kehitysprojektien avulla saatiin parannettua pilottitiimin toiminnan ja tuotteiden laatua. Päiväkatsauskäytännön avulla saatiin osallistettua tiiminvetäjät ongelmaratkaisuun sekä tuotannon suorituskyvyn varmistamiseen.

Evaluating Performance of Content Marketing: YouTube Marketing in Finnish Food and Drink Industry

The purpose of this research was to define content marketing and to discover how content marketing performance can be measured especially on YouTube. Further, the aim was to find out what companies are doing to measure content marketing and what kind of challenges they face in the process. In addition, preferences concerning the measurement were examined. The empirical part was conducted through multiple-case study and cross-case analysis methods. The qualitative data was collected from four large companies in Finnish food and drink industry through semi-structured phone interviews. As a result of this research, a new definition for content marketing was derived. It is suggested that return on objective, or in this case, brand awareness and engagement are used as the main metrics of content marketing performance on YouTube. The major challenge is the nature of the industry, as companies cannot connect the outcome directly to sales.

The use of genes for performance enhancement: doping or therapy?

Recent biotechnological advances have permitted the manipulation of genetic sequences to treat several diseases in a process called gene therapy. However, the advance of gene therapy has opened the door to the possibility of using genetic manipulation (GM) to enhance athletic performance. In such ‘gene doping’, exogenous genetic sequences are inserted into a specific tissue, altering cellular gene activity or leading to the expression of a protein product. The exogenous genes most likely to be utilized for gene doping include erythropoietin (EPO), vascular endothelial growth factor (VEGF), insulin-like growth factor type 1 (IGF-1), myostatin antagonists, and endorphin. However, many other genes could also be used, such as those involved in glucose metabolic pathways. Because gene doping would be very difficult to detect, it is inherently very attractive for those involved in sports who are prepared to cheat. Moreover, the field of gene therapy is constantly and rapidly progressing, and this is likely to generate many new possibilities for gene doping. Thus, as part of the general fight against all forms of doping, it will be necessary to develop and continually improve means of detecting exogenous gene sequences (or their products) in athletes. Nevertheless, some bioethicists have argued for a liberal approach to gene doping.

Improved biological performance of magnesium by micro-arc oxidation

Magnesium and its alloys have recently been used in the development of lightweight, biodegradable implant materials. However, the corrosion properties of magnesium limit its clinical application. The purpose of this study was to comprehensively evaluate the degradation behavior and biomechanical properties of magnesium materials treated with micro-arc oxidation (MAO), which is a new promising surface treatment for developing corrosion resistance in magnesium, and to provide a theoretical basis for its further optimization and clinical application. The degradation behavior of MAO-treated magnesium was studied systematically by immersion and electrochemical tests, and its biomechanical performance when exposed to simulated body fluids was evaluated by tensile tests. In addition, the cell toxicity of MAO-treated magnesium samples during the corrosion process was evaluated, and its biocompatibility was investigated under in vivo conditions. The results of this study showed that the oxide coating layers could elevate the corrosion potential of magnesium and reduce its degradation rate. In addition, the MAO-coated sample showed no cytotoxicity and more new bone was formed around it during in vivo degradation. MAO treatment could effectively enhance the corrosion resistance of the magnesium specimen and help to keep its original mechanical properties. The MAO-coated magnesium material had good cytocompatibility and biocompatibility. This technique has an advantage for developing novel implant materials and may potentially be used for future clinical applications.

Defining Sales and Operations Planning Process in an Environmental Management Company

Sales and operations research publications have increased significantly in the last decades. The concept of sales and operations planning (S&OP) has gained increased recognition and has been put forward as the area within Supply Chain Management (SCM). Development of S&OP is based on the need for determining future actions, both for sales and operations, since off-shoring, outsourcing, complex supply chains and extended lead times make challenges for responding to changes in the marketplace when they occur. Order intake of the case company has grown rapidly during the last years. Along with the growth, new challenges considering data management and information flow have arisen due to increasing customer orders. To manage these challenges, case company has implemented S&OP process, though initial process is in early stage and due to this, the process is not managing the increased customer orders adequately. Thesis objective is to explore extensively the S&OP process content of the case company and give further recommendations. Objectives are categorized into six different groups, to clarify the purpose of this thesis. Qualitative research methods used are active participant observation, qualitative interviews, enquiry, education, and a workshop. It is notable that demand planning was felt as cumbersome, so it is typically the biggest challenge in S&OP process. More proactive the sales forecasting can be, more expanded the time horizon of operational planning will turn out. S&OP process is 60 percent change management, 30 percent process development and 10 percent technology. The change management and continuous improvement can sometimes be arduous and set as secondary. It is important that different people are required to improve the process and the process is constantly evaluated. As well as, process governance is substantially in a central role and it has to be managed consciously. Generally, S&OP process was seen important and all the stakeholders were committed to the process. Particular sections were experienced more important than others, depending on the stakeholders’ point of views. Recommendations to objective groups are evaluated by the achievable benefit and resource requirement. The urgent and easily implemented improvement recommendations should be executed firstly. Next steps are to develop more coherent process structure and refine cost awareness. Afterwards demand planning, supply planning, and reporting should be developed more profoundly. For last, information technology system should be implemented to support the process phases.

Model-based testing of software systems : functionality and performance

Software is a key component in many of our devices and products that we use every day. Most customers demand not only that their devices should function as expected but also that the software should be of high quality, reliable, fault tolerant, efficient, etc. In short, it is not enough that a calculator gives the correct result of a calculation, we want the result instantly, in the right form, with minimal use of battery, etc. One of the key aspects for succeeding in today's industry is delivering high quality. In most software development projects, high-quality software is achieved by rigorous testing and good quality assurance practices. However, today, customers are asking for these high quality software products at an ever-increasing pace. This leaves the companies with less time for development. Software testing is an expensive activity, because it requires much manual work. Testing, debugging, and verification are estimated to consume 50 to 75 per cent of the total development cost of complex software projects. Further, the most expensive software defects are those which have to be fixed after the product is released. One of the main challenges in software development is reducing the associated cost and time of software testing without sacrificing the quality of the developed software. It is often not enough to only demonstrate that a piece of software is functioning correctly. Usually, many other aspects of the software, such as performance, security, scalability, usability, etc., need also to be verified. Testing these aspects of the software is traditionally referred to as nonfunctional testing. One of the major challenges with non-functional testing is that it is usually carried out at the end of the software development process when most of the functionality is implemented. This is due to the fact that non-functional aspects, such as performance or security, apply to the software as a whole. In this thesis, we study the use of model-based testing. We present approaches to automatically generate tests from behavioral models for solving some of these challenges. We show that model-based testing is not only applicable to functional testing but also to non-functional testing. In its simplest form, performance testing is performed by executing multiple test sequences at once while observing the software in terms of responsiveness and stability, rather than the output. The main contribution of the thesis is a coherent model-based testing approach for testing functional and performance related issues in software systems. We show how we go from system models, expressed in the Unified Modeling Language, to test cases and back to models again. The system requirements are traced throughout the entire testing process. Requirements traceability facilitates finding faults in the design and implementation of the software. In the research field of model-based testing, many new proposed approaches suffer from poor or the lack of tool support. Therefore, the second contribution of this thesis is proper tool support for the proposed approach that is integrated with leading industry tools. We o er independent tools, tools that are integrated with other industry leading tools, and complete tool-chains when necessary. Many model-based testing approaches proposed by the research community suffer from poor empirical validation in an industrial context. In order to demonstrate the applicability of our proposed approach, we apply our research to several systems, including industrial ones.