Lämpökynttilän palo-ominaisuuksiin vaikuttavien tekijöiden analytiikka: raaka-aineet, sydänlanka, rakenne ja olosuhteet

Työn tavoitteena oli tutkia lämpökynttilän palo-ominaisuuksiin vaikuttavia tekijöitä. Työn taustalla on yhteistyö suomalaisen kynttilävalmistajan kanssa. Kynttilävalmistajan lämpökynttilöissään käyttämän raaka-aineen hinnan noustessa, on valmistaja kiinnostunut käyttämään edullisempia raaka-aineita. Palamisen kriteerit saavuttavan kynttilän valmistaminen markkinoilla olevista uusista raaka-aineista on havaittu olevan haastavaa, ja vaatii edelleen kehitystyötä. Teoriaosassa käytiin läpi kynttilänvalmistusta yleisesti, RAL-laatustandardin asettamat kriteerit lämpökynttilälle, palamiseen vaikuttavia tekijöitä sekä työn kokeellisessa osassa käytettyjen analyysimenetelmien periaatteet. Työn kokeellisessa osassa tutkittiin erilaisten kynttiläraaka-aineiden koostumusta ja ominaisuuksia sekä sydänlankojen rakennetta. Lisäksi tutkittiin, miten sydänlangan sisältämien säikeiden määrä, eri raaka-aineiden seossuhteiden muutos sekä jäähdytyslämpötilan muutos vaikuttavat lämpökynttilän palo-ominaisuuksiin. Työssä myös selvitettiin muutaman markkinoilla olevan kynttilän raaka-ainekoostumus. Tutkimuksissa havaittiin, että vaadittavan liekin korkeuden saavuttamiseksi viskositeetti on yksi raaka-aineen tärkeimmistä ominaisuuksista. Raaka-aineen viskositeetin kasvaessa tarvitaan paksumpi sydänlanka. Raaka-aineen viskositeetin kasvaessa liekin korkeus ei aina pienene, koska liekin korkeuteen vaikuttaa myös langalle tehty kemiallinen käsittely. Mitä korkeampi kynttilän liekki on, sitä suurempi on raaka-aineen kulutus eli palovuo ja tällöin liekin korkeus vaikuttaa myös kynttilän paloaikaan. Kokeissa havaittiin, että liekin korkeuden ollessa vakio, palovuo oli korkein steariinilla. Steariinin jälkeen tulivat palmuvaha ja parafiini. Tällöin parafiinia tarvittiin vähemmän vastaavan paloajan saavuttamiseksi. Nopean jäähdytyksen havaittiin vaikuttavan palmuvahan palovuohon alentavasti, vaikka jäähdytystavalla ei ollut vaikutusta liekin korkeuteen.

Portfolio Selection via Composite Measure Analysis: Evidence from the U.S. Stock Market

The aim of this research is to examine the pricing anomalies existing in the U.S. market during 1986 to 2011. The sample of stocks is divided into decile portfolios based on seven individual valuation ratios (E/P, B/P, S/P, EBIT/EV, EVITDA/EV, D/P, and CE/P) and price momentum to investigate the efficiency of individual valuation ratio and their combinations as portfolio formation criteria. This is the first time in financial literature when CE/P is employed as a constituent of composite value measure. The combinations are based on median scaled composite value measures and TOPSIS method. During the sample period value portfolios significantly outperform both the market portfolio and comparable glamour portfolios. The results show the highest return for the value portfolio that was based on the combination of S/P & CE/P ratios. The outcome of this research will increase the understanding on the suitability of different methodologies for portfolio selection. It will help managers to take advantage of the results of different methodologies in order to gain returns above the market.

Do retail investors use technical analysis? Evidence from Stuttgart stock exchange.

Tutkielma käyttää automaattista kuviontunnistusalgoritmia ja yleisiä kahden liukuvan keskiarvon leikkauspiste –sääntöjä selittääkseen Stuttgartin pörssissä toimivien yksityissijoittajien myynti-osto –epätasapainoa ja siten vastatakseen kysymykseen ”käyttävätkö yksityissijoittajat teknisen analyysin menetelmiä kaupankäyntipäätöstensä perustana?” Perusolettama sijoittajien käyttäytymisestä ja teknisen analyysin tuottavuudesta tehtyjen tutkimusten perusteella oli, että yksityissijoittajat käyttäisivät teknisen analyysin metodeja. Empiirinen tutkimus, jonka aineistona on DAX30 yhtiöiden data vuosilta 2009 – 2013, ei tuottanut riittävän selkeää vastausta tutkimuskysymykseen. Heikko todistusaineisto näyttää kuitenkin osoittavan, että yksityissijoittajat muuttavat kaupankäyntikäyttäytymistänsä eräiden kuvioiden ja leikkauspistesääntöjen ohjastamaan suuntaan.

Forecasting financial weather - can we foresee market sentiment? Spectrum of stock price behavior - NYSE case study

The desire to create a statistical or mathematical model, which would allow predicting the future changes in stock prices, was born many years ago. Economists and mathematicians are trying to solve this task by applying statistical analysis and physical laws, but there are still no satisfactory results. The main reason for this is that a stock exchange is a non-stationary, unstable and complex system, which is influenced by many factors. In this thesis the New York Stock Exchange was considered as the system to be explored. A topological analysis, basic statistical tools and singular value decomposition were conducted for understanding the behavior of the market. Two methods for normalization of initial daily closure prices by Dow Jones and S&P500 were introduced and applied for further analysis. As a result, some unexpected features were identified, such as a shape of distribution of correlation matrix, a bulk of which is shifted to the right hand side with respect to zero. Also non-ergodicity of NYSE was confirmed graphically. It was shown, that singular vectors differ from each other by a constant factor. There are for certain results no clear conclusions from this work, but it creates a good basis for the further analysis of market topology.

Forecasting financial weather - can we foresee market sentiment? Quantitative analysis of nodal prices in the New Zealand Electricity Spot Market

Time series of hourly electricity spot prices have peculiar properties. Electricity is by its nature difficult to store and has to be available on demand. There are many reasons for wanting to understand correlations in price movements, e.g. risk management purposes. The entire analysis carried out in this thesis has been applied to the New Zealand nodal electricity prices: offer prices (from 29 May 2002 to 31 March 2009) and final prices (from 1 January 1999 to 31 March 2009). In this paper, such natural factors as location of the node and generation type in the node that effects the correlation between nodal prices have been reviewed. It was noticed that the geographical factor affects the correlation between nodes more than others. Therefore, the visualisation of correlated nodes was done. However, for the offer prices the clear separation of correlated and not correlated nodes was not obtained. Finally, it was concluded that location factor most strongly affects correlation of electricity nodal prices; problems in visualisation probably associated with power losses when the power is transmitted over long distance.

Review of investment strategy, portfolio management, and scorecard based portfolio selection tool for direct property investments in Finland

The lack of research of private real estate is a well-known problem. Earlier studies have mostly concentrated on the USA or the UK. Therefore, this master thesis offers more information about the performance and risk associated with private real estate investments in Nordic countries, but especially in Finland. The structure of this master thesis is divided into two independent sections based on the research questions. In first section, database analysis is performed to assess risk-return ratio of direct real estate investment for Nordic countries. Risk-return ratios are also assessed for different property sectors and economic regions. Finally, review of diversification strategies based on property sectors and economic regions is performed. However, standard deviation itself is not usually sufficient method to evaluate riskiness of private real estate. There is demand for more explicit assessment of property risk. One solution is property risk scoring. In second section risk scorecard based tool is built to make different real estate comparable in terms of risk. In order to do this, nine real estate professionals were interviewed to enhance the structure of theory-based risk scorecard and to assess weights for different risk factors.

Power Electronic Converters in Low-Voltage Direct Current Distribution – Analysis and Implementation

Over the recent years, smart grids have received great public attention. Many proposed functionalities rely on power electronics, which play a key role in the smart grid, together with the communication network. However, “smartness” is not the driver that alone motivates the research towards distribution networks based on power electronics; the network vulnerability to natural hazards has resulted in tightening requirements for the supply security, set both by electricity end-users and authorities. Because of the favorable price development and advancements in the field, direct current (DC) distribution has become an attractive alternative for distribution networks. In this doctoral dissertation, power electronic converters for a low-voltage DC (LVDC) distribution system are investigated. These include the rectifier located at the beginning of the LVDC network and the customer-end inverter (CEI) on the customer premises. Rectifier topologies are introduced, and according to the LVDC system requirements, topologies are chosen for the analysis. Similarly, suitable CEI topologies are addressed and selected for study. Application of power electronics into electricity distribution poses some new challenges. Because the electricity end-user is supplied with the CEI, it is responsible for the end-user voltage quality, but it also has to be able to supply adequate current in all operating conditions, including a short-circuit, to ensure the electrical safety. Supplying short-circuit current with power electronics requires additional measures, and therefore, the short-circuit behavior is described and methods to overcome the high-current supply to the fault are proposed. Power electronic converters also produce common-mode (CM) and radio-frequency (RF) electromagnetic interferences (EMI), which are not present in AC distribution. Hence, their magnitudes are investigated. To enable comprehensive research on the LVDC distribution field, a research site was built into a public low-voltage distribution network. The implementation was a joint task by the LVDC research team of Lappeenranta University of Technology and a power company Suur-Savon S¨ahk¨o Oy. Now, the measurements could be conducted in an actual environment. This is important especially for the EMI studies. The main results of the work concern the short-circuit operation of the CEI and the EMI issues. The applicability of the power electronic converters to electricity distribution is demonstrated, and suggestions for future research are proposed.

Suomen asuntomarkkinoiden kehitys vuosina 2000-2016

Kandidaatintutkielman tarkoituksena on tutkia Suomen asuntomarkkinoiden kehitystä kuluttajamarkkinanäkökulmasta 2000-luvulta alkaen. Tutkimuksen päätavoitteena on selvittää ennalta valittujen tekijöiden avulla, kuinka nämä ovat vaikuttaneet asuntomarkkinoihin. Tekijöiden avulla pystytään selvittämään kysynnän ja tarjonnan vaikutukset asuntomyyntiin. Tutkielman teoreettisen viitekehyksen muodostavat hintakehitys ja 4C-malli. Lisäksi tutkimuksessa on selvitetty talouden heilahteluiden vaikutuksia asuntomarkkinoihin sekä rakennuslupa-asioita ja asuntotuotantoa. Aineistot koostuvat kolmesta eri haastattelusta, joita tukevat aiheeseen liittyvät tilastot ja muu kirjallisuus. Haastatteluiden analyysissä etsitään tärkeimpiä vaikuttajia asuntomarkkinoilla. Tutkimuksessa selviää kaupungistumisen aiheuttaneen suuren muuttoliikenteen kaupunkien lähettyville, minne on alkanut muodostua pienempiä kaupunkikeskuksia. Kuluttajat haluavat asunnon sijaitsevan julkisten liikenneyhteyksien ja palveluiden läheisyydessä. Asuntokoot ovat vuoden 2000 jälkeen pienentyneet, jolloin asuntotuotantoa on jouduttu sopeuttamaan. Asuntolainan koron laskun myötä asuntomyynnin kasvu ei ole ollut toivotulla tasolla. Taloudellisten heilahtelujen myötä kuluttajiin on iskenyt epävarmuus, joka vähentää ihmisten halukkuutta ostaa asuntoja.

Performance Degradation Modelling and Techno-Economic Analysis of Lithium-Ion Battery Energy Storage Systems

Transmission system operators and distribution system operators are experiencing new challenges in terms of reliability, power quality, and cost efficiency. Although the potential of energy storages to face those challenges is recognized, the economic implications are still obscure, which introduce the risk into the business models. This thesis aims to investigate the technical and economic value indicators of lithium-ion battery energy storage systems (BESS) in grid-scale applications. In order to do that, a comprehensive performance lithium-ion BESS model with degradation effects estimation is developed. The model development process implies literature review on lifetime modelling, use, and modification of previous study progress, building the additional system parts and integrating it into a complete tool. The constructed model is capable of describing the dynamic behavior of the BESS voltage, state of charge, temperature and capacity loss. Five control strategies for BESS unit providing primary frequency regulation are implemented, in addition to the model. The questions related to BESS dimensioning and the end of life (EoL) criterion are addressed. Simulations are performed with one-month real frequency data acquired from Fingrid. The lifetime and cost-benefit analysis of the simulation results allow to compare and determine the preferable control strategy. Finally, the study performs the sensitivity analysis of economic profitability with variable size, EoL and system price. The research reports that BESS can be profitable in certain cases and presents the recommendations.

Cascade hydropower capacity increase profitability analysis with optimisation modelling

The electricity market and climate are both undergoing a change. The changes impact hydropower and provoke an interest for hydropower capacity increases. In this thesis a new methodology was developed utilising short-term hydropower optimisation and planning software for better capacity increase profitability analysis accuracy. In the methodology income increases are calculated in month long periods while varying average discharge and electricity price volatility. The monthly incomes are used for constructing year scenarios, and from different types of year scenarios a long-term profitability analysis can be made. Average price development is included utilising a multiplier. The method was applied on Oulujoki hydropower plants. It was found that the capacity additions that were analysed for Oulujoki were not profitable. However, the methodology was found versatile and useful. The result showed that short periods of peaking prices play major role in the profitability of capacity increases. Adding more discharge capacity to hydropower plants that initially bypassed water more often showed the best improvements both in income and power generation profile flexibility.