Achieving EU energy targets – Impacts of evolutionary and revolutionary transition paths on power systems

Ambitious energy targets set by EU put pressures to increase share of renewable electricity supply in this and next decades and therefore, some EU member countries have boosted increasing renewable energy generation capacity by implementing subsidy schemes on national level. In this study, two different change approaches to increase renewable energy supply and increase self-sufficiency of supply are assessed with respect to their impacts on power system, electricity market and electricity generation costs in Finland. It is obtained that the current electricity generation costs are high compared to opportunities of earnings from present-day investor’s perspective. In addition, the growth expectations of consumptions and the price forecasts do not stimulate investing in new generation capacity. Revolutionary transition path is driven by administrative and political interventions to achieve the energy targets. Evolutionary transition path is driven by market-based mechanisms, such as market itself and emission trading scheme. It is obtained in this study that in the revolutionary transition path operation of market-based mechanisms is distorted to some extent and it is likely that this path requires providing more public financial resources compared to evolutionary transition path. In the evolutionary transition path the energy targets are not achieved as quickly but market-based mechanisms function better and investment environment endures more stable compared to revolutionary transition path.

Europe after the Congress of Vienna : a map of Europe with the political divisions

Kartta kuuluu A. E. Nordenskiöldin kokoelmaan

Model for managing non-core ideas to new companies, products and services in a Finnish forest company

Suomalainen metsäteollisuus on muutoksen partaalla. Uutisissa on nähty miten metsäyrityksen sulkevat tehtaita ja paperikoneita. Suomalaisessa metsäteollisuudessa keskitytään tällä hetkellä lähinnä kulujen alentamiseen ja tuottavuuden parantamiseen. Edellytyssille, että suomalainen metsäteollisuus pysyy kilpailukykyisenä, ovat kuitenkinuudet innovaatiot ja toimialojen välinen yhteistyö. Työn tavoitteena oli luoda toimintamalli UPM-Kymmene Oyj:lle, minkä avulla ydinliiketoimintaan kuulumattomat tuote- ja palveluideat saataisiin hyödynnettyä. Aihe on erittäin ajankohtainen, mikäli halutaan pitää tuotanto jatkossakin Suomessa. Luotumalli painottaa pk-sektorin roolia ja potentiaalia kehittää UPM-Kymmeneltä peräisin olevia ja heidän ydinliiketointaan kuulumattomista tuote ja palveluideoistauusia yrityksiä, tuotteita ja palveluita. Malli edustaa uudenlaista ajattelutapaa ja sen käyttöönotto vaatii perinteisen yrityskulttuurin uudistamista UPM-Kymmenessä.

Mobile robot localization using sonar ranging and wlan intensity maps

 Main goal of this thesis was to implement a localization system which uses sonars and WLAN intensity maps to localize an indoor mobile robot. A probabilistic localization method, Monte Carlo Localization is used in localization. Also the theory behind probabilistic localization is explained. Two main problems in mobile robotics, path tracking and global localization, are solved in this thesis. Implemented system can achieve acceptable performance in path tracking. Global localization using WLAN received signal strength information is shown to provide good results, which can be used to localize the robot accurately, but also some bad results, which are no use when trying to localize the robot to the correct place. Main goal of solving ambiguity in office like environment is achieved in many test cases.

Offering Analysis in New Product Launch and Sales Planning

This Master's Thesis has been written for Stora Enso Flexible Packaging Papers business unit. In the North-American mills, the business unit has developed a range of new flexible packaging paper grades. The Master's Thesis researches opportunities for sales of these new flexible packaging papers in selected Western-European markets. This study consists of theoretical and empirical part. Theoretical part presents supply chain of flexible packaging, discovering of customer requirements, concept of an offering, general market analysis, customer analysis and basis for sales planning. Empirical part includes preliminary market analysis based on secondary sources, results of lead user interviews and conclusions and recommendations. Potential customers' technical and commercial requirements were found and these were compared to current Stora Enso Flexible Packaging Papers offering. Also a list of potential new customers was made and sales action suggestions were presented in order to gain new accounts.

New kernel functions and learning methods for text and data mining

Recent advances in machine learning methods enable increasingly the automatic construction of various types of computer assisted methods that have been difficult or laborious to program by human experts. The tasks for which this kind of tools are needed arise in many areas, here especially in the fields of bioinformatics and natural language processing. The machine learning methods may not work satisfactorily if they are not appropriately tailored to the task in question. However, their learning performance can often be improved by taking advantage of deeper insight of the application domain or the learning problem at hand. This thesis considers developing kernel-based learning algorithms incorporating this kind of prior knowledge of the task in question in an advantageous way. Moreover, computationally efficient algorithms for training the learning machines for specific tasks are presented. In the context of kernel-based learning methods, the incorporation of prior knowledge is often done by designing appropriate kernel functions. Another well-known way is to develop cost functions that fit to the task under consideration. For disambiguation tasks in natural language, we develop kernel functions that take account of the positional information and the mutual similarities of words. It is shown that the use of this information significantly improves the disambiguation performance of the learning machine. Further, we design a new cost function that is better suitable for the task of information retrieval and for more general ranking problems than the cost functions designed for regression and classification. We also consider other applications of the kernel-based learning algorithms such as text categorization, and pattern recognition in differential display. We develop computationally efficient algorithms for training the considered learning machines with the proposed kernel functions. We also design a fast cross-validation algorithm for regularized least-squares type of learning algorithm. Further, an efficient version of the regularized least-squares algorithm that can be used together with the new cost function for preference learning and ranking tasks is proposed. In summary, we demonstrate that the incorporation of prior knowledge is possible and beneficial, and novel advanced kernels and cost functions can be used in algorithms efficiently.

Technology roadmap for new sales support and management system for crane manufacturing company

Sales configurators are essential tools for companies that offer complicated case specifically crafted products for customers. Most sophisticated of them are able to design an entire end product on the fly according to given constraints, calculate price for the offer and move the order into production. This thesis covers a sales configurator acquisition project in a large industrial company that offers cranes for its customers. The study spans the preliminary stages of a large-scale software purchase project starting from the specification of problem domain and ending up presenting the most viable software solution that fulfils the requirements for the new system. The project consists of mapping usage environment, use cases, and collecting requirements that are expected from the new system. The collected requirements involve fitting the new sales system into enterprise application infrastructure, mitigating the risks involved in the project and specifying new features to the application whilst preserving all of the admired features of the old sales system currently used in the company. The collected requirements were presented to a number of different sales software vendors who were asked to provide solution suggestions that would fulfil all the demands. All of the received solution proposals were exposed to an evaluation to determine the most feasible solutions, and the construction of evaluation criteria itself was a part of the study. The final outcome of this study is a short-list of the most feasible sales configurator solutions together with a description of how software purchase process in large enterprises work, and which aspects should be paid attention in large projects of similar kind.

Development of new halogen-free and multifunctional flame retardants

I avhandlingen undersöktes nya typer av halogenfria flamskyddsmedel. De utvecklade azoalkanföreningarna skyddar polypropenplaster mot brand även i små halter och kan samtidigt förbättra plasternas övriga egenskaper. Undersökningen har medfört viktigt kunnande i övergången från effektiva men på flera sätt problematiska bromerade flamskyddsmedel mot miljövänligare alternativ. I Auberts undersökningar framkom att speciellt symmetriska cykliska azoalkaner, såsom dicyklohexylazoföreningar, uppvisar goda flamskyddande egenskaper i polypropenprodukter. Betydande flamskydd uppnåddes vid anmärkningsvärt låga koncentrationer av föreningarna (0,5-2 vikts-%) och formuleringarna klarar DIN 4102 B2-standardtestet som mäter brandsäkerheten i byggprodukter. I doktorsavhandlingen syntetiserades även en ny, innovativ radikalgenerator, bis(1-propyloxy-2,2,6,6-tetrametylpiperidyl)-4-diazen (AZONOR), som klarade av förutom det ovannämnda testet även NF P92-505- samt det mera krävande UL 94 VTM-2-standardtestet. Förutom flamskyddande verkan uppvisade denna multifunktionella förening ett utmärkt UV-skydd i polypropenplaster. Även efter 2000 timmar av föråldring i klimatkammare kunde ingen betydande minskning av flamskyddsmedlets effekt eller förvittring av polymerfilmen observeras. Konsumtionen av plastprodukter håller på att öka. För att kunna uppfylla de nutida kraven på brandsäkerhet bör man tillsätta flamskyddsmedel till de i sig mycket brandfarliga plasterna. Internationellt forskas det mycket i att finna ersättande produkter för de allmänt använda bromerade flamskyddsmedlen. I Auberts undersökning hittades välfungerande och till sina bieffekter lindrigare föreningar för att ersätta bromerade medel. De nya föreningarna har väckt stort intresse inom den akademiska och företagsvärlden.

Helsinki hub – new traffic flows and business networks

This thesis is the Logistics Development Forum's assignment and the work dealing with the development of the Port of Helsinki as part of Helsinki hub. The Forum aims to develop logistics efficiency through public-private co-operation and development of the port is clearly dependent on both factors. Freight volumes in the Port of Helsinki are the biggest single factor in hub and, therefore, the role of the port of the entire hub development is strong. The aim is to look at how the port will develop as a result of changes in the foreign trade of Finland and the Northern European logistics trends in 25 years time period. Work includes the current state analysis and scenario work. The analyses are intended to find out, which trends are the most important in the port volume development. The change and effect of trends is examined through scenarios based on current state. Based on the work, the structure of Finnish export industry and international demand are in the key role in the port volume development. There is significant difference between demands of Finnish exporting products in different export markets and the development between the markets has different impacts on the port volumes by mass and cargo type. On the other hand, the Finnish economy is stuck in a prolonged recession and competition between ports has become a significant factor in the individual port's volume development. Ecological valuesand regulations have changed the competitive landscape and maritime transport emissions reductions has become an important competitive factor for short routes in the Baltic Sea, such as in the link between Helsinki and Tallinn.