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.

Benchmark of routing protocols regarding green considerations

In Mobile Ad-hoc Networks (MANET) the participating nodes have several roles such as sender, receiver and router. Hence there is a lot of energy consumed by the nodes for the normal working of the network since each node has many different roles. Also in MANET the nodes keep moving constantly and this in turn consumes a lot of energy. Since battery capacity of these nodes is limited it fails to fulfil the high demand of energy. The scarcity of energy makes the energy conservation in mobile ad-hoc networks an important concern. There is several research carried out on the energy consumption of mobile ad-hoc networks these days. Some of this research suggests sleep mode, transmission power control, load balancing etc. In this thesis, we are comparing various proposed energy efficient models for some of the ad-hoc protocols. We compare different energy efficient models for Optimised Linked State Algorithm (OLSR) and Ad-hoc On Demand Distance Vector (AODV). The routing protocols are compared for different parameters such as average remaining energy, number of nodes alive, payload data received and performance with different mobility speed. The simulation results helps in benchmarking the various energy efficient routing models for OLSR and AODV protocols. The benchmarking of the routing protocols can be based on many factors but this thesis concentrates on benchmarking the MANET routing protocols mainly based on the energy efficiency and increased network lifetime.

Load balancing in P2P smartphone based distributed IoT systems

With the new age of Internet of Things (IoT), object of everyday such as mobile smart devices start to be equipped with cheap sensors and low energy wireless communication capability. Nowadays mobile smart devices (phones, tablets) have become an ubiquitous device with everyone having access to at least one device. There is an opportunity to build innovative applications and services by exploiting these devices’ untapped rechargeable energy, sensing and processing capabilities. In this thesis, we propose, develop, implement and evaluate LoadIoT a peer-to-peer load balancing scheme that can distribute tasks among plethora of mobile smart devices in the IoT world. We develop and demonstrate an android-based proof of concept load-balancing application. We also present a model of the system which is used to validate the efficiency of the load balancing approach under varying application scenarios. Load balancing concepts can be apply to IoT scenario linked to smart devices. It is able to reduce the traffic send to the Cloud and the energy consumption of the devices. The data acquired from the experimental outcomes enable us to determine the feasibility and cost-effectiveness of a load balanced P2P smart phone-based applications.

Suomen energiajärjestelmä

Suomen energialähteiden käyttö on pysynyt likimain samana viime vuosikymmenen aikana. Uusiutuvien energialähteiden käyttö (tuulivoima, aurinkovoima, biopolttoaineet) on lisääntynyt ja fossiilisten energialähteiden käyttö vähentynyt. Energian kokonaiskulutus ja lämmönkulutus on vuosikymmenen aikana laskenut hieman ja sähkönkulutus on lisääntynyt lisääntyvän infrastruktuurin myötä. Suomen kantaverkko ei ole vuosikymmenen aikana kokenut suuria muutoksia. Suomi kuuluu osana pohjoismaiden yhteisiä sähkömarkkinoita, joissa vallitsee vapaa kilpailu. Suomen energiajärjestelmän sähköntuotto on tällä hetkellä varsin tuontipainotteinen ja Suomi ei ole pystynyt vuosikymmenen aikana vastaamaan sähkön kysyntään, mikä tarkoittaa sähkön tuonnin lisääntymistä. Lämmöntuotanto ja -kulutus ovat pysyneet vuosikymmenen aikana likimain ennallaan. Lähitulevaisuudessa Suomen energiaomavaraisuus nousee ja Suomi voi jopa vuonna 2050 olla jo sähkön nettoviejä ja myös energiajärjestelmän aiheuttamat kokonaispäästöjä alenevat radikaalisti. Liikenne sähköistyy ja älykkäät sähköverkot tekevät tuloaan. Tässä työssä tutustutaan Suomen nykyiseen energiajärjestelmään, tehdään katsaus tulevaisuuteen ja vertaillaan Suomen energiajärjestelmää kansainvälisesti.

Sinfoniaorkesterin hiilijalanjälki. Case: Sinfonia Lahti

Diplomityön tavoitteena on selvittää sinfoniaorkesterin toiminnan merkittävimmät kasvihuonekaasupäästölähteet sekä kuinka kasvihuonekaasupäästöjä voidaan vähentää ja/tai kompensoida niin, että voidaan saavuttaa hiilineutraalius. Tavoitteena on myös tutkia sinfoniaorkesterin vaikutusmahdollisuudet sen sidosryhmiin. Tuloksia tarkastellaan myös globaalissa mittakaavassa, jolloin nähdään millainen vaikutus sinfoniaorkestereiden hiilineutraaliudella olisi ilmastonmuutoksen hillinnässä. Diplomityössä esitetään ensin hiilijalanjälkilaskentaa ja musiikkiteollisuutta yleisesti, jonka jälkeen selvitetään case-tutkimuksena Sinfonia Lahden hiilijalanjälki. Hiilijalanjälkilaskenta perustuu Sinfonia Lahden antamiin tietoihin, minkä lisäksi hyödynnetään diplomityön yhteydessä tehtyjen kyselyjen tuloksia. Kyselyjen tarkoituksena on selvittää sekä Sinfonia Lahden henkilöstön että yleisön matkustustottumuksia. Sinfonia Lahden henkilöstölle järjestettiin myös workshop, jossa tutustuttiin tarkemmin ilmastonmuutokseen. Hiilineutraalius saavutetaan selvittämällä toiminnasta aiheutuvat kasvihuonekaasupäästöt. Tämän jälkeen toimintaa muutetaan vähäpäästöisemmäksi ja lopuksi jäljelle jäävät kasvihuonekaasupäästöt kompensoidaan. Vaikka Sinfonia Lahden merkittävimmät kasvihuonekaasupäästölähteet ovat liikenne sekä energiankulutus, päästövähennyksiä tulee tehdä pysyvästi kaikista mahdollisista toiminnoista. Erityisen tärkeää on saada sidosryhmät osallistumaan sinfoniaorkesterin asettamiin vähennystavoitteisiin. Kompensoinnilla on merkittävä rooli hiilineutraaliuden saavuttamisessa. Tällä hetkellä maailman sinfoniaorkesterit eivät aktiivisesti pyri hiilineutraaliin toimintaan.

Motor Types Comparison Determining Efficiency in Pumping Systems

Pumping, fan and compressor systems consume most of the motor electricity power in both the industrial and services sectors. A variable speed drive brings relevant improvements in a fluid system leading to energy saving that further on can be translated into Mtons reduction of CO 2 emissions. Standards and regulations are being adopted for fluid handling systems to limit the less efficiency pumps out of the European market on the coming years and a greater potential in energy savings is dictated by the Energy Efficiency Index (EEI) requirements for the whole pumping system and integrated pumps. Electric motors also have an International Efficiency (IE) classification in order to introduce higher efficiency motors into the market. In this thesis, the applicability of mid-size common electric motor types to industrial pumping system took place comparing the motor efficiency characteristics with each other and by analyzing the effect of motor dimensioning on the pumping system and its impact in the energy consumption.

Design and Simulation of High-Speed Rotating Electrical Machinery

Global energy consumption has been increasing yearly and a big portion of it is used in rotating electrical machineries. It is clear that in these machines energy should be used efficiently. In this dissertation the aim is to improve the design process of high-speed electrical machines especially from the mechanical engineering perspective in order to achieve more reliable and efficient machines. The design process of high-speed machines is challenging due to high demands and several interactions between different engineering disciplines such as mechanical, electrical and energy engineering. A multidisciplinary design flow chart for a specific type of high-speed machine in which computer simulation is utilized is proposed. In addition to utilizing simulation parallel with the design process, two simulation studies are presented. The first is used to find the limits of two ball bearing models. The second is used to study the improvement of machine load capacity in a compressor application to exceed the limits of current machinery. The proposed flow chart and simulation studies show clearly that improvements in the high-speed machinery design process can be achieved. Engineers designing in high-speed machines can utilize the flow chart and simulation results as a guideline during the design phase to achieve more reliable and efficient machines that use energy efficiently in required different operation conditions.

Power and Performance Management Strategies on NoC-Based Multicore Platforms, Using DVFS, Adaptive Algorithm and Task Parallelism

This work presents synopsis of efficient strategies used in power managements for achieving the most economical power and energy consumption in multicore systems, FPGA and NoC Platforms. In this work, a practical approach was taken, in an effort to validate the significance of the proposed Adaptive Power Management Algorithm (APMA), proposed for system developed, for this thesis project. This system comprise arithmetic and logic unit, up and down counters, adder, state machine and multiplexer. The essence of carrying this project firstly, is to develop a system that will be used for this power management project. Secondly, to perform area and power synopsis of the system on these various scalable technology platforms, UMC 90nm nanotechnology 1.2v, UMC 90nm nanotechnology 1.32v and UMC 0.18 μmNanotechnology 1.80v, in order to examine the difference in area and power consumption of the system on the platforms. Thirdly, to explore various strategies that can be used to reducing system’s power consumption and to propose an adaptive power management algorithm that can be used to reduce the power consumption of the system. The strategies introduced in this work comprise Dynamic Voltage Frequency Scaling (DVFS) and task parallelism. After the system development, it was run on FPGA board, basically NoC Platforms and on these various technology platforms UMC 90nm nanotechnology1.2v, UMC 90nm nanotechnology 1.32v and UMC180 nm nanotechnology 1.80v, the system synthesis was successfully accomplished, the simulated result analysis shows that the system meets all functional requirements, the power consumption and the area utilization were recorded and analyzed in chapter 7 of this work. This work extensively reviewed various strategies for managing power consumption which were quantitative research works by many researchers and companies, it's a mixture of study analysis and experimented lab works, it condensed and presents the whole basic concepts of power management strategy from quality technical papers.

Modelling the exothermic heat and the demand of cooling in paper and pulp industry biological wastewater treatment

This master thesis presents a study on the requisite cooling of an activated sludge process in paper and pulp industry. The energy consumption of paper and pulp industry and it’s wastewater treatment plant in particular is relatively high. It is therefore useful to understand the wastewater treatment process of such industries. The activated sludge process is a biological mechanism which degrades carbonaceous compounds that are present in waste. The modified activated sludge model constructed here aims to imitate the bio-kinetics of an activated sludge process. However, due to the complicated non-linear behavior of the biological process, modelling this system is laborious and intriguing. We attempt to find a system solution first using steady-state modelling of Activated Sludge Model number 1 (ASM1), approached by Euler’s method and an ordinary differential equation solver. Furthermore, an enthalpy study of paper and pulp industry’s vital pollutants was carried out and applied to revise the temperature shift over a period of time to formulate the operation of cooling water. This finding will lead to a forecast of the plant process execution in a cost-effective manner and management of effluent efficiency. The final stage of the thesis was achieved by optimizing the steady state of ASM1.

Kaukolämpöliiketoiminnan kehittäminen Mäntsälän Sähkö osakeyhtiössä

Tämän diplomityön tarkoitus oli selvittää Mäntsälän Sähkö Oy:n kaukolämpöliiketoiminnan nykytila ja kehityskohteet. Tutkimuskysymykset olivat: 1) Millaisilla toimenpiteillä varmistetaan kaukolämpöliiketoiminnan kannattavuus tulevaisuudessa? ja 2) Millaisia mahdollisuuksia älykäs kaukolämpö tuo kaukolämpöliiketoiminnalle? Tutkimus suoritettiin perehtymällä aiheen kirjallisuuteen ja uutisiin. Takaisinmaksuajan menetelmällä arvioitiin maakaasun korvaamisen kannattavuutta. Työn tuloksena voitiin todeta, että kaukolämmön hinnoittelua kannattaa kehittää kustannusvastaavampaan suuntaan. Nykyinen kaukolämmön energiankulutukseen painottuva hinnoittelu ei sovi uusille rakennuksille, jotka kuluttavat vähän energiaa. Yleistyvät hybridilämmitysjärjestelmät on otettava huomioon hinnoittelussa. Kaukolämmön kausihinnoittelu toisi etuja asiakkaalle, kaukolämpöyhtiölle sekä ympäristölle. Kaukolämmön kulutuksen tuntimittaus mahdollistaisi siirtymisen kaukolämpötehoon perustuvaan hinnoitteluun. Kaukolämmön hinta on ollut Mäntsälän Sähkö Oy:llä suhteellisen korkea. Korkea hinta johtuu enimmäkseen maakaasulla tuotetun kaukolämmön korkeista tuotantokustannuksista. Kaukolämmön tuotantoa voidaan kehittää kannattavammaksi, vaikka lämmöntalteenottolaitoksen oletettu lämmöntuotanto kattaa Mäntsälän lämmöntarpeesta noin puolet ja vähentää tuotantokustannuksia. Nykyisten maakaasukattiloiden käyttäminen pelletin pölypolttoon olisi teknisten muutoksien avulla mahdollista. Pölypolton kannattavuus riippuu erityisesti puupelletin ja maakaasun hintaerosta. Älykäs kaukolämpöjärjestelmä voisi automaattisesti tasoittaa kaukolämmön kysyntää yhdessä lämpövaraston kanssa. Tällöin huippulämpölaitosten käyttö vähentyisi ja lämmöntuotannon kustannukset pienentyisivät. Älykäs kaukolämpöjärjestelmä ja kaukolämpötehon tuntimittaus mahdollistaisivat myös kaksisuuntaisen kaukolämpökaupan.

Investigation of the applicability of LVDC microgrids in utility distribution in Russia

The research towards efficient, reliable and environmental-friendly power supply solutions is producing growing interest to the “Smart Grid” approach for the development of the electricity networks and managing the increasing energy consumption. One of the novel approaches is an LVDC microgrid. The purpose of the research is to analyze the possibilities for the implementation of LVDC microgrids in public distribution networks in Russia. The research contains the analysis of the modern Russian electric power industry, electricity market, electricity distribution business, regulatory framework and standardization, related to the implementation of LVDC microgrid concept. For the purpose of the economic feasibility estimation, a theoretical case study for comparing low voltage AC and medium voltage AC with LVDC microgrid solutions for a small settlement in Russia is presented. The results of the market and regulatory framework analysis along with the economic comparison of AC and DC solutions show that implementation of the LVDC microgrid concept in Russia is possible and can be economically feasible. From the electric power industry and regulatory framework point of view, there are no serious obstacles for the LVDC microgrids in Russian distribution networks. However, the most suitable use cases at the moment are expected to be found in the electrification of remote settlements, which are isolated from the Unified Energy System of Russia.