Performance measurement and management in a collaborative network

This study concerns performance measurement and management in a collaborative network. Collaboration between companies has been increased in recent years due to the turbulent operating environment. The literature shows that there is a need for more comprehensive research on performance measurement in networks and the use of measurement information in their management. This study examines the development process and uses of a performance measurement system supporting performance management in a collaborative network. There are two main research questions: how to design a performance measurement system for a collaborative network and how to manage performance in a collaborative network. The work can be characterised as a qualitative single case study. The empirical data was collected in a Finnish collaborative network, which consists of a leading company and a reseller network. The work is based on five research articles applying various research methods. The research questions are examined at the network level and at the single network partner level. The study contributes to the earlier literature by producing new and deeper understanding of network-level performance measurement and management. A three-step process model is presented to support the performance measurement system design process. The process model has been tested in another collaborative network. The study also examines the factors affecting the process of designing the measurement system. The results show that a participatory development style, network culture, and outside facilitators have a positive effect on the design process. The study increases understanding of how to manage performance in a collaborative network and what kind of uses of performance information can be identified in a collaborative network. The results show that the performance measurement system is an applicable tool to manage the performance of a network. The results reveal that trust and openness increased during the utilisation of the performance measurement system, and operations became more transparent. The study also presents a management model that evaluates the maturity of performance management in a collaborative network. The model is a practical tool that helps to analyse the current stage of the performance management of a collaborative network and to develop it further.

Acceleration of Solar Energetic Particles in coronal shocks through self-generated turbulence

The acceleration of solar energetic particles (SEPs) by flares and coronal mass ejections (CMEs) has been a major topic of research for the solar-terrestrial physics and geophysics communities for decades. This thesis discusses theories describing first-order Fermi acceleration of SEPs through repeated crossings at a CME-driven shock. We propose that particle trapping occurs through self-generated Alfvén waves, leading to a turbulent trapping region in front of the shock. Decelerating coronal shocks are shown to be capable of efficient SEP acceleration, provided seed particle injection is sufficient. Quasi-parallel shocks are found to inject thermal particles with good efficiency. The roles of minimum injection velocities, cross-field diffusion, downstream scattering efficiency and cross-shock potential are investigated in detail, with downstream isotropisation timescales having a major effect on injection efficiency. Accelerated spectra of heavier elements up to iron are found to exhibit significantly harder spectra than protons. Accelerated spectra cut-off energies are found to scale proportional to (Q/A)^1.5, which is explained through analysis of the spectral shape of amplified Alfvénic turbulence. Acceleration times to different threshold energies are found to be non-linear, indicating that self-consistent time-dependent simulations are required in order to expose the full extent of acceleration dynamics. The well-established quasilinear theory (QLT) of particle scattering is investigated by comparing QLT scattering coefficients with those found via full-orbit simulations. QLT is found to overemphasise resonance conditions. This finding supports the simplifications implemented in the presented coronal shock acceleration (CSA) simulation software. The CSA software package is used to simulate a range of acceleration scenarios. The results are found to be in agreement with well-established particle acceleration theory. At the same time, new spatial and temporal dynamics of particle population trapping and wave evolution are revealed.

The role of potassium in the corrosion of superheater materials in boilers firing biomass

Inhibition of global warming has become one of the major goals for the coming decades. A key strategy is to replace fossil fuels with more sustainable fuels, which has generated growing interest in the use of waste-derived fuels and of biomass fuels. However, from the chemical point of view, biomass is an inhomogeneous fuel, usually with a high concentration of water and considerable amounts of potassium and chlorine, all of which are known to affect the durability of superheater tubes. To slow down or reduce corrosion, power plants using biomass as fuel have been forced to operate at lower steam temperatures as compared to fossil fuel power plants. This reduces power production efficiency: every 10°C rise in the steam temperature results in an approximate increase of 2% in power production efficiency. More efficient ways to prevent corrosion are needed so that power plants using biomass and waste-derived fuels can operate at higher steam temperatures. The aim of this work was to shed more light on the alkali-induced corrosion of superheater steels at elevated temperatures, focusing on potassium chloride, the alkali salt most frequently encountered in biomass combustion, and on potassium carbonate, another potassium salt occasionally found in fly ash. The mechanisms of the reactions between various corrosive compounds and steels were investigated. Based on the results, the potassium-induced accelerated oxidation of chromia protected steels appears to occur in two consecutive stages. In the first, the protective chromium oxide layer is destroyed through a reaction with potassium leading to the formation of intermediates such as potassium chromate (K2CrO4) and depleting the chromium in the protective oxide layer. As the chromium is depleted, chromium from the bulk steel diffuses into the oxide layer to replenish it. In this stage, the ability of the material to withstand corrosion depends on the chromium content (which affects how long it takes the chromium in the oxide layer to be depleted) and on external factors such as temperature (which affects how fast the chromium diffuses into the protective oxide from the bulk steel). For accelerated oxidation to continue, the presence of chloride appears to be essential.

Hiilidioksidin talteenoton mahdollistavat polttotekniikat

Kandidaatintyössä esitellään eri teknologioita hiilidioksidin talteenottamiseksi. Teknologioista esitellään niiden toimintaperiaate, pääpiirteet, heikkoudet ja vahvuudet, sekä nykytila. Työssä käsiteltiin kuutta teknologiaa: hiilidioksidin erotus polton jälkeen, hiilidioksidin erotus ennen polttoa, hiilidioksidin erotus happipoltolla, kemikaalikiertopoltto, kalsiumkiertoprosessi ja yhdistetty kolmen reaktorin kalsium- ja kemikaali kiertopolttoprosessia. Polton jälkeinen hiilidioksidin talteenotto sopii hyvin käytössä olevien laitoksien muuntamiseen niin kuin happipolttokin, mutta erotus ja talteenotto ennen polttoa ei sovellu kun vain uusiin laitoksiin. Kolme viimeisintä käsiteltyä teknologiaa ovat nuoria, kypsymättömiä, niissä paljon etuja ja niiden voi olettaa kehittyvän hyviksi teknologioiksi.

Mikro ORC-voimalan potentiaaliset sovelluskohteet

Tavoitteet energiatehokkuuden parantamisesta ja energiantuotannon ympäristövaikutusten vähentämisestä ovat nostaneet kiinnostusta hajautettua energiantuotantoa kohtaan. Pienissä kokoluokissa ei kuitenkaan sähköntuottaminen ole kannattavaa perinteisillä menetelmillä kuten vesihöyryprosessilla. Mikrokokoluokassa (alle 50 kWe) yksi varteenotettavimmista keinoista sähköntuotantoon on mikro ORC-prosessi. Tässä kandidaatintyössä on tavoitteena löytää mikro ORC-voimaloiden potentiaalisimpia sovelluskohteita ja ratkaisuja niiden hyödyntämiseen. Selvitystyön perusteella mikro ORC-voimaloiden potentiaalisimpia sovelluskohteita ovat hukkalämpöjen hyödyntäminen teollisuus- ja energiantuotantoprosesseissa, pienet CHP-laitokset, pienet lämpölaitokset, ajoneuvojen polttomoottorit, syrjäisten kohteiden sähköntuotanto sekä aurinkokeräimien ja kaukolämpöverkon hyödyntäminen rakennusten energiaomavaraisuuden parantamisessa.