Modelling Long-Run Relationship between Spot and Future Prices of Different Commodities

The purpose of this study is to investigate whether there exists any kind of relationship between the spot and future prices of the different commodities or not. Commodities like cocoa, coffee, crude oil, gold, natural gas and silver are considered from January 3, 2000 to December 31, 2012. For this purpose, ADF test and KPSS test are used in testing the stationarity whereas Johansen Cointegration test is used in testing the long-run relationship. Johansen co-integration test exhibits that there at least 5 co-integrating pairs out of 6 except crude oil. Moreover, the result of Granger Causality supports the fact that if two or more than two time series tend to be co-integrated there exists either uni-directional or bi-directional relationship. However, our results reveled that although there exists the co-integration between the variable, one might not granger causes another .VAR model is also used to measure the proportion of effects. These findings will help the derivative market and arbitragers in developing the strategies to gain the maximum profit in the financial market.

Energy-efficient control strategies for variable speed driven parallel pumping systems based on pump operation point monitoring with frequency converters

The pumping processes requiring wide range of flow are often equipped with parallelconnected centrifugal pumps. In parallel pumping systems, the use of variable speed control allows that the required output for the process can be delivered with a varying number of operated pump units and selected rotational speed references. However, the optimization of the parallel-connected rotational speed controlled pump units often requires adaptive modelling of both parallel pump characteristics and the surrounding system in varying operation conditions. The available information required for the system modelling in typical parallel pumping applications such as waste water treatment and various cooling and water delivery pumping tasks can be limited, and the lack of real-time operation point monitoring often sets limits for accurate energy efficiency optimization. Hence, alternatives for easily implementable control strategies which can be adopted with minimum system data are necessary. This doctoral thesis concentrates on the methods that allow the energy efficient use of variable speed controlled parallel pumps in system scenarios in which the parallel pump units consist of a centrifugal pump, an electric motor, and a frequency converter. Firstly, the suitable operation conditions for variable speed controlled parallel pumps are studied. Secondly, methods for determining the output of each parallel pump unit using characteristic curve-based operation point estimation with frequency converter are discussed. Thirdly, the implementation of the control strategy based on real-time pump operation point estimation and sub-optimization of each parallel pump unit is studied. The findings of the thesis support the idea that the energy efficiency of the pumping can be increased without the installation of new, more efficient components in the systems by simply adopting suitable control strategies. An easily implementable and adaptive control strategy for variable speed controlled parallel pumping systems can be created by utilizing the pump operation point estimation available in modern frequency converters. Hence, additional real-time flow metering, start-up measurements, and detailed system model are unnecessary, and the pumping task can be fulfilled by determining a speed reference for each parallel-pump unit which suggests the energy efficient operation of the pumping system.

Minimizing Circulating Current in Parallel-Connected Photovoltaic Inverters

Parallel-connected photovoltaic inverters are required in large solar plants where it is not economically or technically reasonable to use a single inverter. Currently, parallel inverters require individual isolating transformers to cut the path for the circulating current. In this doctoral dissertation, the problem is approached by attempting to minimize the generated circulating current. The circulating current is a function of the generated common-mode voltages of the parallel inverters and can be minimized by synchronizing the inverters. The synchronization has previously been achieved by a communication link. However, in photovoltaic systems the inverters may be located far apart from each other. Thus, a control free of communication is desired. It is shown in this doctoral dissertation that the circulating current can also be obtained by a common-mode voltage measurement. A control method based on a short-time switching frequency transition is developed and tested with an actual photovoltaic environment of two parallel inverters connected to two 5 kW solar arrays. Controls based on the measurement of the circulating current and the common-mode voltage are generated and tested. A communication-free method of controlling the circulating current between parallelconnected inverters is developed and verified.

Implementing Green IT approach for transferring Big Data over Parallel Data Link

The whole research of the current Master Thesis project is related to Big Data transfer over Parallel Data Link and my main objective is to assist the Saint-Petersburg National Research University ITMO research team to accomplish this project and apply Green IT methods for the data transfer system. The goal of the team is to transfer Big Data by using parallel data links with SDN Openflow approach. My task as a team member was to compare existing data transfer applications in case to verify which results the highest data transfer speed in which occasions and explain the reasons. In the context of this thesis work a comparison between 5 different utilities was done, which including Fast Data Transfer (FDT), BBCP, BBFTP, GridFTP, and FTS3. A number of scripts where developed which consist of creating random binary data to be incompressible to have fair comparison between utilities, execute the Utilities with specified parameters, create log files, results, system parameters, and plot graphs to compare the results. Transferring such an enormous variety of data can take a long time, and hence, the necessity appears to reduce the energy consumption to make them greener. In the context of Green IT approach, our team used Cloud Computing infrastructure called OpenStack. It’s more efficient to allocated specific amount of hardware resources to test different scenarios rather than using the whole resources from our testbed. Testing our implementation with OpenStack infrastructure results that the virtual channel does not consist of any traffic and we can achieve the highest possible throughput. After receiving the final results we are in place to identify which utilities produce faster data transfer in different scenarios with specific TCP parameters and we can use them in real network data links.

Jätevesien puhdistus jätevesialtaissa jäädyttämällä - Kartoitus potentiaalisista sovellutuksista Suomessa

Uusia jäteveden puhdistusprosesseja kartoitetaan Suomessakin esimerkiksi kiristyvien päästömääräyksien vuoksi sekä parempia kustannus- ja energiatehokkuuksia tavoiteltaessa. Jätevesien puhdistus on Suomessa jo nykyään hyvällä tasolla, mutta muun muassa raskasmetallien, torjunta-aineiden, hormonien ja lääkeaineiden pitoisuuksien kasvut jätevesissä asettavat haasteita nykyisin käytössä oleville jäteveden puhdistusmenetelmille, sillä niitä ei ole suunniteltu näiden aineiden talteenottoon ja suurin osa aineista jää veteen. Lisäksi jätevedet halutaan nähdä enemmänkin resurssina kuin jätteenä, josta voidaan ottaa talteen hyödyllisiä komponentteja, kuten suoloja. Alueilla, joissa vuorokauden keskilämpötila pysyttelee edes osan vuodesta pakkasella, veden luonnollista jäätymisprosessia voidaan käyttää hyväksi jäteveden puhdistuksessa. Tässä työssä selvitettiin kiteytymisen teorian ja aikaisempien tutkimusten avulla, millaisten jätevesien puhdistukseen jäädytyskiteytys sopii sekä pohdittiin menetelmän potentiaalisia sovelluskohteita Suomessa. Jäädytyskiteytyksen todettiin olevan turvallinen ja energiatehokas ratkaisu monien koostumukseltaan erilaisien jätevesien puhdistukseen. Menetelmällä voitaneen puhdistaa öljyisiä, orgaanisia ja/tai epäorgaanisia epäpuhtauksia tai raskasmetalleja sisältäviä sekä myrkyllisiä jätevesiä. Olosuhteet prosessille ovat parhaat Pohjois-Suomessa, jossa vuorokauden keskilämpötila pysyttelee nollan alapuolella noin seitsemän kuukautta vuodesta. Etelä-Suomessa vastaava luku on kolme. Menetelmän potentiaalisia sovelluskohteita ovat esimerkiksi kaivosteollisuuden ja kaatopaikkojen jätevedet, joiden puhdistukseen jäädytyskiteytys saattaisi soveltua erinomaisesti. Jäädyttämällä voitaisiin myös puhdistaa tekstiili- ja nahkateollisuuden jätevesiä, sillä niiden sisältämien väriaineiden erottaminen vedestä on perinteisillä jäteveden puhdistusmenetelmillä usein vaikeaa tai jopa mahdotonta. Suolojen kiteyttämiseen vaadittavia korkeampia suolapitoisuuksia todettiin löytyvän lähinnä membraaniprosessien, kuten käänteisosmoosin, rejektivesistä. Sopivimmat eutektiset olosuhteet kiteyttämiseen ovat natriumsulfaatilla, kaliumsulfaatilla ja natriumkarbonaatilla. Veden luonnollisen jäätymisprosessin hyödyntäminen jätevedenpuhdistuksessa on huomionarvoinen idea. Prosessin käyttöönottoa haittaavat esimerkiksi korkeat investointikustannukset, mutta ne tulevat todennäköisesti ajan myötä teknologian kehittyessä laskemaan. Lisäksi monet prosessiin liittyvät käytännön asiat ovat vielä tutkimuksen alla. On myös huomattava, että Suomessakaan lämpötila ei pysyttele koko vuotta pakkasella, joten jäädytyksen rinnalla on oltava jokin toinen prosessi, jolla jätevedet puhdistetaan lämpötilan ollessa nollan yläpuolella.