Polttodirektiivien soveltaminen sellutehtaiden ilmapäästömittauksissa

EU:n polttodirektiivit, LCP- ja jätteenpolttodirektiivi ovat arkipäivää suuressa osassa polttolaitoksia Suomessakin lähivuosien kuluessa. Molemmat direktiivit on otettu mukaan Suomen lain-säädäntöön asetuksina, joita on hieman muutettu vastaamaan kansallisia tarpeita. Polttolaitokset tulevat muuttamaan aikaisempia käytäntöjään päästöistä mitattavien komponenttien sekä tarkkailujaksojen että raportoinnin osalta. Mittausten tulokset raportoidaan jatkossa yksikössä mg/Nm3. Jatkuvatoimisia mittausjärjestelmiä on asennettava yhä useampaan laitokseen ja savukaasuista tarkkaillaan pitoisuuksia päästöjen sijaan. Edelleen raportoidaan esim. ympäristölupaviranomaiselle vuosipäästöjen suuruus. Vuonna 2000 voimaan tulleen ympäristönsuojelulain ja -asetuksen velvoittamina toiminnassa olevat sellutehtaat ovat hakeneet uuden lain mukaista ympäristölupaa vuoden 2004 loppuun mennessä. Ympäristöluvan tarvitsevat myös kaikki teholtaan yli 50 MW:n polttolaitokset. Suuria polttolaitoksia koskeva LCP-direktiivi astuu voimaan vuoden 2008 alussa. Siksi uusissa ympäristöluvissa tullaantodennäköisesti vaatimaan myös sellutehtailta ko. direktiivin mukaisia mittaus-järjestelmiä ja päästörajoja. Laitoksissa on jo nyt melko kattavat päästömittausjärjestelmät, sillä myös voimassaolevat ympäristöluvat ja ilmapäästöjen tarkkailuohjelmat velvoittavat päästöjen jatkuvaan seurantaan pääosin samoista savukaasukomponenteista kuin mitä direktiivissäkin edellytetään. Tässä diplomityössä keskitytään LCP- ja jätteenpolttodirektiivien mittausvaatimuksiin, raja-arvoihin sekä raportointiin sekä Metsä-Botnian sellutehtaiden mittausjärjestelmien parantamis-toimenpiteisiin. Yksityiskohtainen toimintamalli on tehty Joutsenon tehtaan laitosta ja mittaus-järjestelmää silmällä pitäen. Sitä voidaan käyttää myös muillatehtailla mallina savukaasupäästöjen mittauksien ja laitteiden päivitysten yhteydessä. Toimintamalliin siirtyminen ei velvoita Metsä-Botnian tehtaita, mutta monet tehtaat haluavat laitteistokannan uusimisen yhteydessä siirtyä direktiivien vaatimuksia vastaavaan järjestelmään.

Luotettavuusarvio typen oksidien päästöjen jatkuvatoimiselle seurantamenetelmälle

Prosessiteollisuudessa syntyviä ilmapäästöjä seurataan jatkuvatoimisilla mittausjärjestelmillä. Jatkuvatoimisen päästöjen seurantajärjestelmän tulee tuottaa luotettavaa tietoa prosessin aiheuttamista päästöistä. Päästöjen seurannasta saataviin tuloksiin syntyy aina epävarmuutta, joka koostuu mittausolosuhteiden, mittausjärjestelmän tai mittauksen suorittamisen aiheuttamista epävarmuuksista. Työn alussa on kuvattu Stora Enso Oyj:n Imatran tehtaitten typen oksidien jatkuvatoiminen päästöjen seurantamenetelmä ja selvitetty seurantajärjestelmän suorittama päästöjen laskentamenetelmä. Lisäksi on tuotu esille päästömittaustuloksen epävarmuuteen vaikuttavia tekijöitä kyseisessä järjestelmässä. Selvityksessä merkittävimmäksi järjestelmän luotettavuuteen vaikuttavaksi tekijäksi osoittautui virheellinen mittaustieto, jota voidaan hallita järjestelmässä asettamalla raja-arvo mittaustiedolle ja tehostamalla käytönaikaista valvontaa. Lisäksi korvaamalla häiriöaikainen virheellinen mittaustieto laskennallisella pitoisuuden odotusarvolla päästölaskentaa varten, tuottaa seurantajärjestelmä luotettavampia typen oksidien päästötietoja raportointia varten.

Towards input/output-free modelling of linear infinite-dimensional systems in continuous time

This dissertation describes a networking approach to infinite-dimensional systems theory, where there is a minimal distinction between inputs and outputs. We introduce and study two closely related classes of systems, namely the state/signal systems and the port-Hamiltonian systems, and describe how they relate to each other. Some basic theory for these two classes of systems and the interconnections of such systems is provided. The main emphasis lies on passive and conservative systems, and the theoretical concepts are illustrated using the example of a lossless transfer line. Much remains to be done in this field and we point to some directions for future studies as well.

Non-Markovian Dynamics in Continuous Variable Quantum Systems

The present manuscript represents the completion of a research path carried forward during my doctoral studies in the University of Turku. It contains information regarding my scientific contribution to the field of open quantum systems, accomplished in collaboration with other scientists. The main subject investigated in the thesis is the non-Markovian dynamics of open quantum systems with focus on continuous variable quantum channels, e.g. quantum Brownian motion models. Non-Markovianity is here interpreted as a manifestation of the existence of a flow of information exchanged by the system and environment during the dynamical evolution. While in Markovian systems the flow is unidirectional, i.e. from the system to the environment, in non-Markovian systems there are time windows in which the flow is reversed and the quantum state of the system may regain coherence and correlations previously lost. Signatures of a non-Markovian behavior have been studied in connection with the dynamics of quantum correlations like entanglement or quantum discord. Moreover, in the attempt to recognisee non-Markovianity as a resource for quantum technologies, it is proposed, for the first time, to consider its effects in practical quantum key distribution protocols. It has been proven that security of coherent state protocols can be enhanced using non-Markovian properties of the transmission channels. The thesis is divided in two parts: in the first part I introduce the reader to the world of continuous variable open quantum systems and non-Markovian dynamics. The second part instead consists of a collection of five publications inherent to the topic.

The Detector Control Systems for the CMS Resistive Plate Chamber at LHC

The RPC Detector Control System (RCS) is the main subject of this PhD work. The project, involving the Lappeenranta University of Technology, the Warsaw University and INFN of Naples, is aimed to integrate the different subsystems for the RPC detector and its trigger chain in order to develop a common framework to control and monitoring the different parts. In this project, I have been strongly involved during the last three years on the hardware and software development, construction and commissioning as main responsible and coordinator. The CMS Resistive Plate Chambers (RPC) system consists of 912 double-gap chambers at its start-up in middle of 2008. A continuous control and monitoring of the detector, the trigger and all the ancillary sub-systems (high voltages, low voltages, environmental, gas, and cooling), is required to achieve the operational stability and reliability of a so large and complex detector and trigger system. Role of the RPC Detector Control System is to monitor the detector conditions and performance, control and monitor all subsystems related to RPC and their electronics and store all the information in a dedicated database, called Condition DB. Therefore the RPC DCS system has to assure the safe and correct operation of the sub-detectors during all CMS life time (more than 10 year), detect abnormal and harmful situations and take protective and automatic actions to minimize consequential damages. The analysis of the requirements and project challenges, the architecture design and its development as well as the calibration and commissioning phases represent themain tasks of the work developed for this PhD thesis. Different technologies, middleware and solutions has been studied and adopted in the design and development of the different components and a big challenging consisted in the integration of these different parts each other and in the general CMS control system and data acquisition framework. Therefore, the RCS installation and commissioning phase as well as its performance and the first results, obtained during the last three years CMS cosmic runs, will be

ERP Systems as Investments: Analysing Costs vs. Benefits

An ERP system investment analysis method using a Fuzzy Pay-Off approach for Real Option valuation is examined. It is studied, how the investment can be incrementally adopted and analyzed as a compounding Real Option model. The modeling allows follow-up. IS system development model COCOMO is presented as an example for investment analysis. The thesis presents the usage of Real Options as an alternative for the valuation of an investment. An idea is presented to use a continuous investment follow-up during the investment. This analysis can be performed using Real Options. As a tool for the analysis, the Fuzzy Pay-Off method is presented as an alternative for investment valuation.

Initialization of Continuous Nonlinear Models Using Extended Kalman Filter

The two main objectives of Bayesian inference are to estimate parameters and states. In this thesis, we are interested in how this can be done in the framework of state-space models when there is a complete or partial lack of knowledge of the initial state of a continuous nonlinear dynamical system. In literature, similar problems have been referred to as diffuse initialization problems. This is achieved first by extending the previously developed diffuse initialization Kalman filtering techniques for discrete systems to continuous systems. The second objective is to estimate parameters using MCMC methods with a likelihood function obtained from the diffuse filtering. These methods are tried on the data collected from the 1995 Ebola outbreak in Kikwit, DRC in order to estimate the parameters of the system.

Design of traction transmission and suspension systems for an omni-directional mobile robot

This project aims to design and manufacture a mobile robot with two Universal Robot UR10 mainly used indoors. In order to obtain omni-directional maneuverability, the mobile robot is constructed with Mecanum wheels. The Mecanum wheel can move in any direction with a series of rollers attached to itself. These rollers are angled at 45º about the hub’s circumference. This type of wheels can be used in both driving and steering with their any-direction property. This paper is focused on the design of traction system and suspension system, and the velocity control of Mecanum wheels in the close-loop control system. The mechanical design includes selection of bearing housing, couplers which are act as connection between shafts, motor parts, and other needed components. The 3D design software SolidWorks is utilized to assemble all the components in order to get correct tolerance. The driving shaft is designed based on assembled structure via the software as well. The design of suspension system is to compensate the assembly error of Mecanum wheels to guarantee the stability of the robot. The control system of motor drivers is realized through the Robot Operating System (ROS) on Ubuntu Linux. The purpose of inverse kinematics is to obtain the relationship among the movements of all Mecanum wheels. Via programming and interacting with the computer, the robot could move with required speed and direction.

Interoperability for IoT Health Systems Using HL7 Standard

Internet of Things or IoT is revolutionizing the world we are living in, similarly the way Internet and the web did few decades ago. It is changing how we interact with the things surrounding us. Electronic health and remote patient monitoring are the ways of utilizing these technological improvements towards the healthcare. There are many applications of IoT in eHealth such as, it will open the gate to provide healthcare to the remote areas of the world, where healthcare through traditional hospital systems cannot be provided. To connect these new eHealth IoT systems with the existing healthcare information systems, we can use the existing interoperability standards commonly used in healthcare information systems. In this thesis we implemented an eHealth IoT system based on Health Level 7 interoperability standard for continuous data transmission. There is not much previous work done in implementing the HL7 for continuous sensor data transmission. Some of the previous work was limited to sensors which are not continuous in nature and some of it is only theatrical architecture. This thesis aims to prove that it is possible to implement an eHealth IoT system by using sensors which require continues data transmission, such as respiratory sensors, and to connect it with the existing eHealth information system semantically by using HL7 interoperability standard. This system will be beneficial in implementing eHealth IoT systems for those patients, who requires continuous healthcare personal monitoring. This includes elderly people and patients, whose health need to be monitored constantly. To implement the architecture, HL7 v2.5 is selected due to its ease of implementation and low size. We selected some open source technologies because of their open licenses and large developer community. We will also review the most efficient technology available in every layer of eHealth IoT system and will propose an efficient system.