Biomass Gasification — Primary Methods for Eliminating Tar

This present paper deals with primary methods for reducing tar in biomass gasification, namely by feeding a natural catalyst into a fluidized bed. This method is verified using an experimental pilot plant

Biomass Gasification — Primary Methods for Eliminating Tar

This present paper deals with primary methods for reducing tar in biomass gasification, namely by feeding a natural catalyst into a fluidized bed. This method is verified using an experimental pilot plant

Energy Recovery from Contaminated Biomass

This study focuses on thermal gasification methods of contaminated biomass in an atmospheric fluidized bed, especially biomass contaminated by undesirable substances in its primary use. For the experiments, chipboard waste was chosen as a representative sample of contaminated biomass. In the experiments, samples of gas and tar were taken for a better description of the process of gasifying chipboard waste. Gas and tar samples also provide information about the properties of the gas that is produced

METHODS FOR CLEANING OF GAS FROM GASIFICATION OF STALK

Due to the continuous growth of energy consumption it is required that development in the energy sector is focused on renewable energy sources. Another possibility to reduce the consumption of primary energy resources is also searching for new and non-traditional fuels. Stalk and slightly contaminated biomass are representatives of these non-traditional fuels. Stalk is mostly annual plants grown primarily for subsistence. Waste parts of these plants can be utilized for production of energy. The thermal gasification is one of the possibilities to use biomass efficiently. Gasification can be understood as the thermo-chemical conversion of solid fuel into the gaseous state. The gas with low heating value is on the outlet from gasification process. The main components of produced gas are hydrogen, carbon monoxide, and methane. The final gas contains also a lot of undesirable constituents which handicap this gas for energy usage. These constituents are neutral components, that dilute gas only, and pollutants as dust, tar and compounds of sulphur and chlorine, which complicate further use of the generated gas. The research paper is focu-sed on thermal gasification of stalk and other non-traditional fuels in Biofluid experimental device. The aim is to design methods for cleaning the raw gas from the tar compounds. The research is focused on the secondary gas cleaning methods aiming at high purity of the final gas

Energy Recovery from Contaminated Biomass

This study focuses on thermal gasification methods of contaminated biomass in an atmospheric fluidized bed, especially biomass contaminated by undesirable substances in its primary use. For the experiments, chipboard waste was chosen as a representative sample of contaminated biomass. In the experiments, samples of gas and tar were taken for a better description of the process of gasifying chipboard waste. Gas and tar samples also provide information about the properties of the gas that is produced

Optimalization of afterburner channel in biomass boiler using CFD analysis

This contribution presents the results of parametrical studies focused on the mixing process in a small rectangular duct within a biomass boiler. The first study investigates the influence of a local narrowing located in the central part of the duct. This narrowing works as an orifice with very simple rectangular geometry. Four different free cross sections of the orifice were considered in the center of the duct, namely 100 %, 70 %, 50 %, 30 % of free cross section area in the duct. The second study is focused on the investigation of the influence of secondary air distribution pipe diameter on the mixing process in a flue gas duct without a narrowing

Obrazowanie tensora dyfuzji u pacjentów z chorobą Alzheimera i łagodnymi zaburzeniami poznawczymi

A wide range of imaging studies provides growing support for the potential role of diffusion tensor imaging (DTI) in evaluating microstructural white matter integrity in Alzheimer disease (AD) and mild cognitive impairment (MCI). Our review aims to present DTI principles, post-processing and analysis frameworks and to report the results of particular studies. The distribution of AD-related white matter abnormalities is widely discussed in the light of deteriorated connectivity within certain tracts due to secondary white matter degeneration; primary alterations are also assumed to contribute to the pattern. The question whether it is more effective to assess the whole-brain diffusion or to directly concentrate on specific regions remains an interesting issue. Assessing white matter microstructure alterations, as evaluated by group-level differences of tensor-derived parameters, may be a promising neuroimaging tool for differential diagnosis between AD, MCI and other cognitive disorders, as well as being particularly helpful in the interpretation of underlying pathological processes.Rosnąca liczba badań naukowych wskazuje na znaczenie obrazowania tensora dyfuzji (DTI) w ocenie mikrostrukturalnej integralności istoty białej w chorobie Alzheimera (ChA) i łagodnych zaburzeniach poznawczych (ŁZP). W niniejszej pracy przeglądowej omówiono zasady obróbki danych oraz analizy DTI i przedstawiono wyniki poszczególnych badań prezentujących różne modele charakterystycznych dla ChA zmian w istocie białej. Szeroko dyskutowane jest rozmieszczenie uszkodzeń w istocie białej, głównie w odniesieniu do wtórnego zwyrodnienia poszczególnych włókien wskutek zaniku istoty szarej lub pierwotnego zwyrodnienia istoty białej. Interesujący i nierozstrzygnięty pozostaje dylemat, czy bardziej efektywne jest obrazowanie zmian dyfuzji w całym mózgu, czy skupianie się na konkretnych strukturach. Zastosowanie DTI w ocenie mikrostrukturalnych zmian zachodzących w istocie białej mózgu może być obiecującym narzędziem w różnicowaniu pomiędzy ChA, ŁZP i innymi zaburzeniami poznawczymi; jest szczególnie przydatne przy interpretacji leżących u ich podłoża procesów patologicznych

/GD-TRACKER/ A SOFTWARE FOR BLOOD-BRAIN BARRIER PERMEABILITY ASSESSMENT

Epilepsy is chronic neurological disease characterized by occurrence of spontaneous recurrent seizures affecting approximately 1% of people. One of the most common causes of epilepsy in adults is a stroke. The precise mechanism of development of vascular epilepsy is not known, and thus no reliable biomarker of postischemic epileptogenesis currently exists. Blood-brain barrier (BBB) impairment is phenomenon observed in several pathologies including stroke after which epilepsy often develops. Blood components such as albumin or thrombin have been experimentally shown to possess the capacity to increase excitability which results in seizures and epileptogenesis. We hypothesize that severity of the BBB breakdown during first weeks after the stroke can be used as a biomarker of postischemic epileptogenesis. This paper describes free MATLAB based software /Gd-Tracker/ and methodology developed for assessment of BBB permeability from magnetic resonance (MR) scans based on statistical voxel to voxel comparison of sequences with and without Gd-DTPA contrast. This software allows to evaluate extent and magnitude of impaired BBB region and thus serve as a tool for visualization and quantification of BBB breakdown

Comparative study of CuO supported on CeO2, Ce0.8Zr0.2O2 and Ce0.8Al0.2O2 based catalysts in the CO-PROX reaction

CuO supported on CeO2, Ce0.8Zr0.2O2 and Ce0.8Al0.2O2 based catalysts (6%wt Cu) were synthesized and tested in the preferential oxidation of CO in a H2-rich stream (CO-PROX). Nanocrystalline supports, CeO2 and solid solutions of modified CeO2 with zirconium and aluminum were prepared by a freeze-drying method. CuO was supported by incipient wetness impregnation and calcination at 400 C. All catalysts exhibit high activity in the CO-PROX reaction and selectivity to CO2 at low reaction temperature, being the catalyst supported on CeO2 the more active and stable. The influence of the presence of CO2 and H2O was also studied