Very High Energy Gamma-Rays emitting BL LAC's Population Study

Context: BL Lacs are the most numerous extragalactic objects which are detected in Very High Energy (VHE) gamma-rays band. They are a subclass of blazars. Large flux variability amplitude, sometimes happens in very short time scale, is a common characteristic of them. Significant optical polarization is another main characteristics of BL Lacs. BL Lacs' spectra have a continuous and featureless Spectral Energy Distribution (SED) which have two peaks. Among 1442 BL Lacs in the Roma-BZB catalogue, only 51 are detected in VHE gamma-rays band. BL Lacs are most numerous (more than 50% of 514 objects) objects among the sources that are detected above 10 GeV by FERMI-LAT. Therefore, many BL Lacs are expected to be discovered in VHE gamma-rays band. However, due to the limitation on current and near future technology of Imaging Air Cherenkov Telescope, astronomers are forced to predict whether an object emits VHE gamma-rays or not. Some VHE gamma-ray prediction methods are already introduced but still are not confirmed. Cross band correlations are the building blocks of introducing VHE gamma-rays prediction method. Aims: We will attempt to investigate cross band correlations between flux energy density, luminosity and spectral index of the sample. Also, we will check whether recently discovered MAGIC J2001+435 is a typical BL Lac. Methods: We select a sample of 42 TeV BL Lacs and collect 20 of their properties within five energy bands from literature and Tuorla blazar monitoring program database. All of the data are synchronized to be comparable to each other. Finally, we choose 55 pair of datasets for cross band correlations finding and investigating whether there is any correlation between each pair. For MAGIC J2001+435 we analyze the publicly available SWIFT-XRT data, and use the still unpublished VHE gamma-rays data from MAGIC collaboration. The results are compared to the other sources of the sample. Results: Low state luminosity of multiple detected VHE gamma-rays is strongly correlated luminosities in all other bands. However, the high state does not show such strong correlations. VHE gamma-rays single detected sources have similar behaviour to the low state of multiple detected ones. Finally, MAGIC J2001+435 is a typical TeV BL Lac. However, for some of the properties this source is located at the edge of the whole sample (e.g. in terms of X-rays flux). Keywords: BL Lac(s), Population study, Correlations finding, Multi wavelengths analysis, VHE gamma-rays, gamma-rays, X-rays, Optical, Radio

Variational ensemble Kalman filtering applied to data assimilation problems in computational fluid dynamics

One challenge on data assimilation (DA) methods is how the error covariance for the model state is computed. Ensemble methods have been proposed for producing error covariance estimates, as error is propagated in time using the non-linear model. Variational methods, on the other hand, use the concepts of control theory, whereby the state estimate is optimized from both the background and the measurements. Numerical optimization schemes are applied which solve the problem of memory storage and huge matrix inversion needed by classical Kalman filter methods. Variational Ensemble Kalman filter (VEnKF), as a method inspired the Variational Kalman Filter (VKF), enjoys the benefits from both ensemble methods and variational methods. It avoids filter inbreeding problems which emerge when the ensemble spread underestimates the true error covariance. In VEnKF this is tackled by resampling the ensemble every time measurements are available. One advantage of VEnKF over VKF is that it needs neither tangent linear code nor adjoint code. In this thesis, VEnKF has been applied to a two-dimensional shallow water model simulating a dam-break experiment. The model is a public code with water height measurements recorded in seven stations along the 21:2 m long 1:4 m wide flume’s mid-line. Because the data were too sparse to assimilate the 30 171 model state vector, we chose to interpolate the data both in time and in space. The results of the assimilation were compared with that of a pure simulation. We have found that the results revealed by the VEnKF were more realistic, without numerical artifacts present in the pure simulation. Creating a wrapper code for a model and DA scheme might be challenging, especially when the two were designed independently or are poorly documented. In this thesis we have presented a non-intrusive approach of coupling the model and a DA scheme. An external program is used to send and receive information between the model and DA procedure using files. The advantage of this method is that the model code changes needed are minimal, only a few lines which facilitate input and output. Apart from being simple to coupling, the approach can be employed even if the two were written in different programming languages, because the communication is not through code. The non-intrusive approach is made to accommodate parallel computing by just telling the control program to wait until all the processes have ended before the DA procedure is invoked. It is worth mentioning the overhead increase caused by the approach, as at every assimilation cycle both the model and the DA procedure have to be initialized. Nonetheless, the method can be an ideal approach for a benchmark platform in testing DA methods. The non-intrusive VEnKF has been applied to a multi-purpose hydrodynamic model COHERENS to assimilate Total Suspended Matter (TSM) in lake Säkylän Pyhäjärvi. The lake has an area of 154 km2 with an average depth of 5:4 m. Turbidity and chlorophyll-a concentrations from MERIS satellite images for 7 days between May 16 and July 6 2009 were available. The effect of the organic matter has been computationally eliminated to obtain TSM data. Because of computational demands from both COHERENS and VEnKF, we have chosen to use 1 km grid resolution. The results of the VEnKF have been compared with the measurements recorded at an automatic station located at the North-Western part of the lake. However, due to TSM data sparsity in both time and space, it could not be well matched. The use of multiple automatic stations with real time data is important to elude the time sparsity problem. With DA, this will help in better understanding the environmental hazard variables for instance. We have found that using a very high ensemble size does not necessarily improve the results, because there is a limit whereby additional ensemble members add very little to the performance. Successful implementation of the non-intrusive VEnKF and the ensemble size limit for performance leads to an emerging area of Reduced Order Modeling (ROM). To save computational resources, running full-blown model in ROM is avoided. When the ROM is applied with the non-intrusive DA approach, it might result in a cheaper algorithm that will relax computation challenges existing in the field of modelling and DA.

Kustannusten ja ajan sitoutuminen tuotteeseen elintarviketeollisuuden arvoverkostossa

Tämä pro gradu -tutkielma käsitteleekustannusten ja ajan analysointia elintarviketeollisuuden arvoverkostossa. Teoriaosuuden kantavia käsitteitä ovat arvoverkosto, Lean Management -ideologia, Value Stream Mapping ja Supply Chain Time and Cost Mapping. Tutkimus toteutetaan case - tutkimuksena, ja siinä on piirteitä niin kvalitatiivisesta kuin kvantitatiivisesta tutkimusasetelmasta. Teoriaosuuden lähteinä on käytetty tieteellisissä julkaisuissa ilmestyneitä journal -artikkeleita sekä alan kirjallisuutta. Tutkimus liittyy olennaisena osana Elintarviketeollisuuden Uudistuva Liiketoiminta -projektiin ja antaa tätä kautta kontekstin muille tutkimuksille sekä konkreettisenesimerkin kyseisestä arvoverkostosta. Empiirisen osan case-yrityksinä ovat Saarioinen Oy, Tuoretie Oy ja Ruokakesko Oy. Analyysin kohteena onLiha-Saarioisten valmistama karjalanpiirakka-tuoteryhmä. Konkreettisena tutkimustuloksena on karjalanpiirakan prosessikuvaus koko arvoketjun matkalta, kustannuskertymä, aikaperusteinen analyysi ja kustannus-aika-kuvaaja. Lisäksi arvoketjun matkalla tehdyistä haastatteluista on kerätty kehitysehdotuksia sekä samalla etsitty hukkatoimintoja. Tuloksista voi tehdä sen johtopäätöksen, että karjalanpiirakka on tyypillinen elintarvike, jonka kustannuksista suurin osa on raaka-aineita ja tuotannon työtä. Aikaa arvoketjussa kuluu eniten kaupan hyllyllä. Organisaatioidenyhteistyöllä aikaa ja sitä kautta kustannuksia olisi kuitenkin mahdollisuus vielä karsia.

JOHDON LASKENTATOIMI KÄRKIYRITYSVERKOSTOISSA Soveltamismahdollisuudet ja yritysten tarpeet

Tutkimus tarkastelee johdon laskentatoimea yritysverkostoissa. Tutkimuksen tavoitteena on lisätä ymmärrystä koskien sitä, millaisia tarpeita verkostoituneilla yrityksillä on johdon laskentatoimen suhteen ja millaiset ovat verkostotasoisten laskentajärjestelmien soveltamismahdollisuudet. Johdon laskentatoimea ja yritysverkostoja on tutkittu erillisinä alueina jo varsin pitkään, mutta verkostoituneen toimintamuodon yleistymisestä huolimatta johdon laskentatoimen tutkimus nimenomaan verkostoympäristössä onvasta alkuvaiheessa. Tämä tutkimus on toteutettu suomalaisissa verkostoituneissa metalliteollisuusyrityksissä. Tutkitut verkostot muodostuvatverkoston ydinyrityksestä ¿ kärkiyrityksestä - ja sen ympärille ryhmittyneistä pienistä toimittajayrityksistä. Tutkimus on toteutettu käyttäen teemahaastatteluja, joita suoritettiin neljässä eri yritysverkostossa. Tutkimusote on luonteeltaan laadullinen ja pääosin kuvaileva. Verkostojen laskentatoimen tutkimuksessa pienten toimittajayritysten näkemykset ja asenteet laskennan kehittämistä kohtaan ovat jääneet taka-alalle. Tämän tutkimuksen keskeisenä näkökulmana on juuri verkostoituneiden pk-yritystentarpeet, asenteet ja mahdollisuudet osallistua laskentatoimen kehitystyöhön. Tutkimuksessa tarkastellaan johdon laskentatoimea yleisellä tasolla, eikä rajauduta yksittäisiin menetelmiin. Tutkimus toi esille joitakin informaatiotarpeita verkostotasolla. Useita jalostusvaiheita eri yrityksissä käsittävässä tuotannossa vaikeutena on tietää tarkalleen missä tilaus etenee ja milloin tilaus saapuu yritykseen jalostettavaksi. Toimittajayritykset kaipaavat myös tarkempaa ja pidemmän ajanjakson kattavaa tietoa verkoston kärkiyrityksen tilauskannasta. Informaatiopuutteet aiheuttavat turhaa työtä ja vaikeuttavat resurssien ohjausta. Tutkituissa verkostoissa suunnittelua avustavalle budjetoinnille olisi tarpeita, mutta yhteistä budjetointia ei ole käytännössä toteutettu. Verkostojen laskentatoimessa kustannusten avoin esittäminen kumppaneille tai yleisemmin avoimuus koskien muitakin toiminnan mittareita on keskeisin tekijä, johon verkoston laskentatoimen toteuttaminen tiivistyy. Tutkituista verkostoista kahdessa avoimuus toteutui koskien kustannuksia, kahdessa muussa verkostossa kärkiyritykset eivät nähneet toimittajien kustannustietoja verkoston kilpailukyvyn kannalta merkittäväksi. Kustannusten avoimen esittämisen taustatekijöinä korostuivat kärkiyrityksen tuki, monimutkaisten konstruktioiden aiheuttamat hinnoitteluongelmat ja kannattavan asiakassuhteen varmistaminen. Verkostolaskennan kehittämisessä kärkiyrityksen rooli korostuu. Jos toimittajayritykset eivät tunnista verkostolaskennan tarjoamia mahdollisuuksia toiminnan yhteisessä kehittämisessä ja ohjaamisessa, on kärkiyrityksen pystyttävä perustelemaan toimittajille uskottavasti mitä hyötyä laskentajärjestelmistä on koko verkostolle ja erityisesti toimittajayrityksille. Tutkittujen yritysten on pystyttävä rutinoimaan nyt yleisellä tasolla toimiva keskustelu järjestelmälliseksi suunnittelu- ja ohjaustyöksi. Hyvät kokemuksetyksinkertaisistakin laskenta- ja seurantajärjestelmistä parantavat mahdollisuuksia soveltaa myös kattavampia ja luottamuksellisempaa tietoa sisältäviä laskentajärjestelmiä.

Review of water electrolysis technologies and design of renewable hydrogen production systems

An electric system based on renewable energy faces challenges concerning the storage and utilization of energy due to the intermittent and seasonal nature of renewable energy sources. Wind and solar photovoltaic power productions are variable and difficult to predict, and thus electricity storage will be needed in the case of basic power production. Hydrogen’s energetic potential lies in its ability and versatility to store chemical energy, to serve as an energy carrier and as feedstock for various industries. Hydrogen is also used e.g. in the production of biofuels. The amount of energy produced during hydrogen combustion is higher than any other fuel’s on a mass basis with a higher-heating-value of 39.4 kWh/kg. However, even though hydrogen is the most abundant element in the universe, on Earth most hydrogen exists in molecular forms such as water. Therefore, hydrogen must be produced and there are various methods to do so. Today, the majority hydrogen comes from fossil fuels, mainly from steam methane reforming, and only about 4 % of global hydrogen comes from water electrolysis. Combination of electrolytic production of hydrogen from water and supply of renewable energy is attracting more interest due to the sustainability and the increased flexibility of the resulting energy system. The preferred option for intermittent hydrogen storage is pressurization in tanks since at ambient conditions the volumetric energy density of hydrogen is low, and pressurized tanks are efficient and affordable when the cycling rate is high. Pressurized hydrogen enables energy storage in larger capacities compared to battery technologies and additionally the energy can be stored for longer periods of time, on a time scale of months. In this thesis, the thermodynamics and electrochemistry associated with water electrolysis are described. The main water electrolysis technologies are presented with state-of-the-art specifications. Finally, a Power-to-Hydrogen infrastructure design for Lappeenranta University of Technology is presented. Laboratory setup for water electrolysis is specified and factors affecting its commissioning in Finland are presented.

“He who plants a tree – Plants a hope.” Reforestation possibilities in Tingana, Peru

Tropical forests have decreased drastically especially in the Peruvian Amazon. In Peru deforestation is caused especially by migrant people; building of houses and infrastructure, clearing land for agricultural purposes and illegal logging and mining. Deforestation results in hindering ecosystem vitality, boosting climate change and decreasing livelihood possibilities. As a counterpoint to cutting down trees there is reforestation, which refers to re-establishment of forest cover. Deforestation and reforestation can be analysed in the light of Forest Transition theory. According to it, due to economic growth, the amount forest cover first diminishes but then starts to increase as the economy in general strengthens. Thus, the research framework is set to this theory. In this study the focus is on analysing socioeconomically sustainable reforestation possibilities in the community of Tingana, Peru. It is situated in a municipal conservation area around which deforestation has been heavy. Land cover change is analysed from LandsatTM satellite images covering a 15 year time period, 1995–2010, in the surroundings of the study area. Semi-structured interviews have been done with a sample size of 25 people and shed light on the perspectives on forests, reforestation and economical activities. The synthesis created from the two methods gives information about the possibilities to enforce reforestation in Tingana and the phase of forest transition in the area. The results show that forest cover has decreased around the surroundings of Tingana leaving the conservation area isolated from larger forest areas. Knowing that forest cover has also decreased inside the conservation area due to agricultural expansion it is certain that fragmentation harms biodiversity causing changes in local climate, which can have knock-on effects for farming and local livelihoods. Therefore reforestation is welcomed when it ensures both conservation and financial benefits and when carried out on locals’ terms. Regarding conservation and incomes the best option would be to plant native timber species together with fruit production species to create agroforestry systems. Economically the community should aim towards an economy that relies on ecotourism as it already practiced in the area. Reforestation could increase ecotourism, which then could in turn increase reforestation via revenues. Regarding forest transition it is likely that forest re-establishment will occur if reforestation along with ecotourism is implemented on long time scale.