Zur Reaktionskinetik der Oxidation von Kohlenstoffmaterialien aus Biomasse

Zur Modellierung von Vergasungs- und Verbrennungsprozessen zur energetischen Nutzung von Biomasse ist die Kenntnis von reaktionskinetischen Daten für die Sauerstoff-Oxidation von Biomassepyrolysaten erforderlich. Eine ausführliche Literaturübersicht zeigt den Stand der Forschung bezüglich der experimentellen Ermittlung von reaktionskinetischen Parametern für die Oxidation von Pyrolysaten aus Lignin, Cellulose und pflanzlicher Biomasse sowie der Suche nach einem plausiblen Reaktionsmechanismus für die Reaktion von Sauerstoff mit festen Kohlenstoffmaterialien. Es wird eine Versuchsanlage mit einem quasistationär betriebenen Differentialreaktor konstruiert, die eine Messung der Reaktionskinetik und der reaktiven inneren Oberfläche (RSA) für die Reaktion eines Pyrolysats aus Maispflanzen mit Sauerstoff ermöglicht. Die getrockneten und zerkleinerten Maispflanzen werden 7 Minuten lang bei 1073 K in einem Drehrohrofen pyrolysiert. Das Pyrolysat zeichnet sich vor allem durch seine hohe Porosität von über 0,9 und seinen hohen Aschegehalt von 0,24 aus. Die RSA wird nach der Methode der Messung von Übergangskinetiken (TK) bestimmt. Die Bestimmung der RSA erfolgt für die Reaktionsprodukte CO und CO2 getrennt, für die entsprechend ermittelten Werte werden die Bezeichnungen CO-RSA und CO2-RSA eingeführt. Die Abhängigkeit dieser Größen von der Sauerstoffkonzentration läßt sich durch eine Langmuir-Isotherme beschreiben, ebenso das leichte Absinken der CO-RSA mit der Kohlendioxidkonzentration. Über dem Abbrand zeigen sich unterschiedliche Verläufe für die CO-RSA, CO2-RSA und die innere Oberfläche nach der BET-Methode. Zur Charakterisierung der Oberflächenzwischenprodukte werden temperaturprogrammierte Desorptionsversuche (TPD) durchgeführt. Die Ergebnisse zeigen, daß eine Unterscheidung in zwei Kohlenstoff-Sauerstoff-Oberflächenkomplexe ausreichend ist. Die experimentellen Untersuchungen zum Oxidationsverlauf werden im kinetisch bestimmten Bereich durchgeführt. Dabei werden die Parameter Temperatur, Sauerstoff-, CO- und CO2-Konzentration variiert. Anhand der Ergebnisse der reaktionskinetischen Untersuchungen wird ein Reaktionsmechanismus für die Kohlenstoff-Sauerstoff-Reaktion entwickelt. Dieser Reaktionsmechanismus umfaßt 7 Elementarreaktionen, für welche die reaktionskinetischen Parameter numerisch ermittelt werden. Darüber hinaus werden reaktionskinetische Parameter für einfachere massenbezogene Reaktionsgeschwindigkeitsansätze berechnet und summarische Reaktionsgeschwindigkeitsansätze für die Bildung von CO und CO2 aus dem Reaktionsmechanismus hergeleitet.

Bayes quadratic unbiased estimator of spatial covariance parameters

This work presents Bayes invariant quadratic unbiased estimator, for short BAIQUE. Bayesian approach is used here to estimate the covariance functions of the regionalized variables which appear in the spatial covariance structure in mixed linear model. Firstly a brief review of spatial process, variance covariance components structure and Bayesian inference is given, since this project deals with these concepts. Then the linear equations model corresponding to BAIQUE in the general case is formulated. That Bayes estimator of variance components with too many unknown parameters is complicated to be solved analytically. Hence, in order to facilitate the handling with this system, BAIQUE of spatial covariance model with two parameters is considered. Bayesian estimation arises as a solution of a linear equations system which requires the linearity of the covariance functions in the parameters. Here the availability of prior information on the parameters is assumed. This information includes apriori distribution functions which enable to find the first and the second moments matrix. The Bayesian estimation suggested here depends only on the second moment of the prior distribution. The estimation appears as a quadratic form y'Ay , where y is the vector of filtered data observations. This quadratic estimator is used to estimate the linear function of unknown variance components. The matrix A of BAIQUE plays an important role. If such a symmetrical matrix exists, then Bayes risk becomes minimal and the unbiasedness conditions are fulfilled. Therefore, the symmetry of this matrix is elaborated in this work. Through dealing with the infinite series of matrices, a representation of the matrix A is obtained which shows the symmetry of A. In this context, the largest singular value of the decomposed matrix of the infinite series is considered to deal with the convergence condition and also it is connected with Gerschgorin Discs and Poincare theorem. Then the BAIQUE model for some experimental designs is computed and compared. The comparison deals with different aspects, such as the influence of the position of the design points in a fixed interval. The designs that are considered are those with their points distributed in the interval [0, 1]. These experimental structures are compared with respect to the Bayes risk and norms of the matrices corresponding to distances, covariance structures and matrices which have to satisfy the convergence condition. Also different types of the regression functions and distance measurements are handled. The influence of scaling on the design points is studied, moreover, the influence of the covariance structure on the best design is investigated and different covariance structures are considered. Finally, BAIQUE is applied for real data. The corresponding outcomes are compared with the results of other methods for the same data. Thereby, the special BAIQUE, which estimates the general variance of the data, achieves a very close result to the classical empirical variance.

Determination of yield and quality parameters of energy crops applying laboratory and field spectroscopy

A real-time analysis of renewable energy sources, such as arable crops, is of great importance with regard to an optimised process management, since aspects of ecology and biodiversity are considered in crop production in order to provide a sustainable energy supply by biomass. This study was undertaken to explore the potential of spectroscopic measurement procedures for the prediction of potassium (K), chloride (Cl), and phosphate (P), of dry matter (DM) yield, metabolisable energy (ME), ash and crude fibre contents (ash, CF), crude lipid (EE), nitrate free extracts (NfE) as well as of crude protein (CP) and nitrogen (N), respectively in pretreated samples and undisturbed crops. Three experiments were conducted, one in a laboratory using near infrared reflectance spectroscopy (NIRS) and two field spectroscopic experiments. Laboratory NIRS measurements were conducted to evaluate to what extent a prediction of quality parameters is possible examining press cakes characterised by a wide heterogeneity of their parent material. 210 samples were analysed subsequent to a mechanical dehydration using a screw press. Press cakes serve as solid fuel for thermal conversion. Field spectroscopic measurements were carried out with regard to further technical development using different field grown crops. A one year lasting experiment over a binary mixture of grass and red clover examined the impact of different degrees of sky cover on prediction accuracies of distinct plant parameters. Furthermore, an artificial light source was used in order to evaluate to what extent such a light source is able to minimise cloud effects on prediction accuracies. A three years lasting experiment with maize was conducted in order to evaluate the potential of off-nadir measurements inside a canopy to predict different quality parameters in total biomass and DM yield using one sensor for a potential on-the-go application. This approach implements a measurement of the plants in 50 cm segments, since a sensor adjusted sideways is not able to record the entire plant height. Calibration results obtained by nadir top-of-canopy reflectance measurements were compared to calibration results obtained by off-nadir measurements. Results of all experiments approve the applicability of spectroscopic measurements for the prediction of distinct biophysical and biochemical parameters in the laboratory and under field conditions, respectively. The estimation of parameters could be conducted to a great extent with high accuracy. An enhanced basis of calibration for the laboratory study and the first field experiment (grass/clover-mixture) yields in improved robustness of calibration models and allows for an extended application of spectroscopic measurement techniques, even under varying conditions. Furthermore, off-nadir measurements inside a canopy yield in higher prediction accuracies, particularly for crops characterised by distinct height increment as observed for maize.

Spezifität der quantitativen Resistenz von Blättern und Früchten der Tomate (Lycopersicon ssp. L.) gegenüber Phytophthora infestans (Mont.) de Bary.

Ziel der vorliegenden Arbeit war es, einen Beitrag zur Resistenzforschung bei Tomaten gegenüber P. infestans zu leisten, um erste Grundlagen für eine mögliche Züchtungsstrategie auf Basis unterschiedlicher quantitativer Resistenzen zu erarbeiten. Hierzu wurde untersucht, inwieweit unterschiedliche qualitative und quantitative Resistenzen bei Tomatenblättern und -früchten vorliegen, und ob hierfür verantwortliche Mechanismen identifiziert werden können. Zudem wurde untersucht, ob isolatspezifische quantitative Resistenzen identifiziert werden können. Zu diesem Zweck wurde mit einer erweiterten Clusteranalyse, basierend auf einer modifizierten Sanghvi-T2 Distanz, ein statistisches Verfahren entwickelt, welches die Identifikation von quantitativen, isolatspezifischen Resistenzen unter der Berücksichtigung der Variabilität ermöglicht. Des weiteren wurde geprüft, inwieweit zwischen den Resistenzausprägungen auf dem Blatt und den Resistenzausprägungen auf der Frucht ein Zusammenhang besteht und inwieweit die im Labor beobachteten Resistenzen unter Freilandbedingungen eine Rolle spielen. Im Labortest wurde die qualitative und quantitative Blattresistenz von 109 Akzessionen aus elf Lycopersicon und Solanum Arten gegenüber zwölf unterschiedlich aggressiven und teilweise auch unterschiedlich virulenten P. infestans Isolaten untersucht (Kap. 3). Die Früchte von 38 Tomatensorten wurden auf ihre Resistenz gegenüber drei P. infestans Isolaten geprüft. Zusätzlich wurde der Einfluss der Fruchtnachreife auf die Resistenzeigenschaften der Tomatenfrüchte gegenüber P. infestans analysiert (Kap. 4). Insgesamt 40 Sorten wurden auch unter Feldbedingungen auf Blatt- und Fruchtbefall untersucht (Kap. 5). Die frühen Stadien der Infektion von Tomatenblättern mit P. infestans Sporangien wurden mikroskopisch bei acht Tomatensorten mit unterschiedlichen quantitativen Reaktionsprofilen und drei Isolaten untersucht (Kap. 6). Hierzu wurden die Entwicklungsstadien von P. infestans Sporangien nach 24h, 48h und 60h nach der Inokulation auf und im Blatt mit der Calcofluor und der KOH - Anilin Blau Färbung sichtbar gemacht. Das Auftreten und die Lokalisation von H2O2 im Blatt nach 48h und 60h nach der Inokulation in Reaktion auf die Infektion wurde mithilfe einer DAB (3,3′ - Diaminobenzidine) Färbung untersucht. Es wurden einige, z.T. auch wahrscheinlich neue, qualitative Blattresistenzen gegenüber P. infestans gefunden, jedoch war keine der 109 Akzessionen vollständig resistent gegenüber allen Isolaten. Für die quantitative Resistenz von Blättern lagen in vielen Fällen isolatspezifische Unterschiede vor. Die Sorte x Isolat Interaktionen konnten mit Hilfe der erweiterten Clusteranalyse erfolgreich analysiert werden und die Akzessionen in Gruppen mit unterschiedlichen quantitativen Resistenzprofilen bzgl. der Interaktion mit den Isolaten und des Resistenzniveaus eingeteilt werden. Für die Fruchtresistenz konnten keine qualitativen Resistenzen gegenüber den drei getesteten Isolaten gefunden werden. Im Gegensatz dazu unterschieden sich die Tomatensorten in ihrer quantitativen Resistenz und Sorten und Isolate interagierten signifikant. Auch für die Fruchtresistenz konnten Gruppen mit unterschiedlichen quantitativen Reaktionsprofilen gebildet werden. Insgesamt nimmt die Anfälligkeit von Tomatenfrüchten mit zunehmender Reife kontinuierlich und signifikant ab. Unter Laborbedingungen korrelierten nur die Sporulationskapazität der Früchte und der prozentuale Blattbefall. Im Feldversuch über zwei Jahre und mit bis zu 40 Tomatensorten war der Zusammenhang hoch signifikant, jedoch asymptotisch, d.h. bereits bei sehr geringem Blattbefall war der Fruchtbefall sehr hoch. Bei den Tomatenherkünften, die sowohl im Labor als auch im Feld auf ihre Anfälligkeit getestet wurden, erschienen die Blattanfälligkeiten ähnlich, während kein klarer Zusammenhang zwischen der Fruchtanfälligkeit im Feld und im Labor bestand. Die Entwicklung von P. infestans auf der Blattoberfläche war unabhängig von der Sorte. Sowohl beim Eindringen und der Etablierung von P. infestans ins Blatt als auch bei der damit verbunden H2O2 Aktivität im Wirt wurden deutliche isolat- und sortenspezifische Effekte gefunden, die aber nur zum Teil mit den quantitativen Unterschieden der Blattresistenz korrespondierten. Sorten, die bei hoher Resistenz unterschiedliche Reaktionsprofile aufweisen, sind grundsätzlich interessante Kreuzungspartner, um die quantitative Resistenz gegenüber P. infestans zu verbessern. Hier sind vor allem Sorten, die sich auch in ihrer H2O2 Aktivität unterscheiden von Interesse.

Effects of plant diversity on bioenergy parameters in grassland biomass

Extensive grassland biomass for bioenergy production has long been subject of scientific research. The possibility of combining nature conservation goals with a profitable management while reducing competition with food production has created a strong interest in this topic. However, the botanical composition will play a key role for solid fuel quality of grassland biomass and will have effects on the combustion process by potentially causing corrosion, emission and slagging. On the other hand, botanical composition will affect anaerobic digestibility and thereby the biogas potential. In this thesis aboveground biomass from the Jena-Experiment plots was harvested in 2008 and 2009 and analysed for the most relevant chemical constituents effecting fuel quality and anaerobic digestibility. Regarding combustion, the following parameters were of main focus: higher heating value (HHV), gross energy yield (GE), ash content, ash softening temperature (AST), K, Ca, Mg, N, Cl and S content. For biogas production the following parameters were investigated: substrate specific methane yield (CH4 sub), area specific methane yield (CH4 area), crude fibre (CF), crude protein (CP), crude lipid (CL) and nitrogen-free extract (NfE). Furthermore, an improvement of the fuel quality was investigated through applying the Integrated generation of solid Fuel and Biogas from Biomass (IFBB) procedure. Through the specific setup of the Jena-Experiment it was possible to outline the changes of these parameters along two diversity gradients: (i) species richness (SR; 1 to 60 species) and (ii) functional group (grasses, legumes, small herbs and tall herbs) presence. This was a novel approach on investigating the bioenergy characteristic of extensive grassland biomass and gave detailed insight in the sward-composition¬ - bioenergy relations such as: (i) the most relevant SR effect was the increase of energy yield for both combustion (annual GE increased by 26% from SR8→16 and by 65% from SR8→60) and anaerobic digestion (annual CH4 area increased by 22% from SR8→16 and by 49% from SR8→60) through a strong interaction of SR with biomass yield; (ii) legumes play a key role for the utilization of grassland biomass for energy production as they increase the energy content of the substrate (HHV and CH4 sub) and the energy yield (GE and CH4 area); (iii) combustion is the conversion technique that will yield the highest energy output but requires an improvement of the solid fuel quality in order to reduce the risk of corrosion, emission and slagging related problems. This was achieved through applying the IFBB-procedure, with reductions in ash (by 23%), N (28%), K (85%), Cl (56%) and S (59%) and equal levels of concentrations along the SR gradient.

Interrelatedness of grazing livestock with vegetation parameters and farmers’ livelihoods in the Mahafaly region, southwestern Madagascar

The study aims to get deeper insight into the highly extensive system of animal husbandry in the Mahafaly region of southwestern Madagascar. It tries to understand the major drivers for pastoral dynamics, land and resource use along a gradient in altitude and vegetation to consider the area’s high spatial and temporal heterogeneity. The study also analyzes the reproductive performance of local livestock as well as the owners’ culling strategies to determine herd dynamics, opportunities for economic growth, and future potential for rural development. Across seasons, plateau herds from both livestock species covered longer distances (cattle 13.6±3.02 km, goats 12.3±3.48 km) and were found further away from the settlements (cattle 3.1±0.96 km, goats 2.8±0.98 km) than those from the coastal plain (walking_dist: cattle 9.5±3.25 km, goats 9.2±2.57 km; max_dist: cattle 2.6±1.28 km, goats 1.8±0.61 km). Transhumant cattle were detected more vulnerable through limited access to pasture land and water resources compared to local herds. Seasonal water shortage has been confirmed as a key constraint on the plateau while livestock keeping along the coast is more limited by dry season forage availability. However, recent security issues and land use conflicts with local crop farmers are gaining importance and force livestock owners to adapt their traditional grazing management, resulting in spatio-temporal variation of livestock numbers and in the impending risk of local overgrazing and degradation of rangelands. Among the 133 plant species consumed by livestock, 13 were determined of major importance for the animals’ nutrition. The nutritive value and digestibility of the natural forage, as well as its abundance in the coastal zone, substantially decreased over the course of the dry season and emphasized the importance of supplementary forage plants, in particular Euphorbia stenoclada. At the same time, an unsustainable utilization and overexploitation of its wild stocks may raise the pressure on the vegetation and pasture resources within the nearby Tsimanampetsotsa National Park. Age at first parturition was 40.5±0.59 months for cattle and 21.3±0.63 months for goats. Both species showed long parturition intervals (cattle 24.2±0.48 months, goats 12.4±0.30 months), mostly due to the maintenance of poorly performing breeding females within the herds. Reported offspring mortality, however, was low with 2.5% of cattle and 18.8% of goats dying before reaching maturity. The analysis of economic information revealed higher than expected market dynamics, especially for zebus, resulting in annual contribution margins of 33 € per cattle unit and 11 € per goat unit. The application of the PRY Herd Life model to simulate herd development for present management and two alternate scenarios confirmed the economic profitability of the current livestock system and showed potential for further productive and economic development. However, this might be clearly limited by the region’s restricted carrying capacity. Summarizing, this study illustrates the highly extensive and resources-driven character of the livestock system in the Mahafaly region, with herd mobility being a central element to cope with seasonal shortages in forage and water. But additional key drivers and external factors are gaining importance and increasingly affect migration decisions and grazing management. This leads to an increased risk of local overgrazing and overexploitation of natural pasture resources and intensifies the tension between pastoral and conservation interests. At the same time, it hampers the region’s agronomic development, which has not yet been fully exploited. The situation therefore demonstrates the need for practical improvement suggestions and implication measures, such as the systematic forestation of supplemental forage plant species in the coastal zone or a stronger integration of animal husbandry and crop production, to sustain the traditional livestock system without compromising peoples’ livelihoods while at the same time minimizing the pastoral impact on the area’s unique nature and environment.

Learning-Based Approach to Estimation of Morphable Model Parameters

We describe the key role played by partial evaluation in the Supercomputing Toolkit, a parallel computing system for scientific applications that effectively exploits the vast amount of parallelism exposed by partial evaluation. The Supercomputing Toolkit parallel processor and its associated partial evaluation-based compiler have been used extensively by scientists at MIT, and have made possible recent results in astrophysics showing that the motion of the planets in our solar system is chaotically unstable.

A Two-level Prediction Model for Deep Reactive Ion Etch (DRIE)

We contribute a quantitative and systematic model to capture etch non-uniformity in deep reactive ion etch of microelectromechanical systems (MEMS) devices. Deep reactive ion etch is commonly used in MEMS fabrication where high-aspect ratio features are to be produced in silicon. It is typical for many supposedly identical devices, perhaps of diameter 10 mm, to be etched simultaneously into one silicon wafer of diameter 150 mm. Etch non-uniformity depends on uneven distributions of ion and neutral species at the wafer level, and on local consumption of those species at the device, or die, level. An ion–neutral synergism model is constructed from data obtained from etching several layouts of differing pattern opening densities. Such a model is used to predict wafer-level variation with an r.m.s. error below 3%. This model is combined with a die-level model, which we have reported previously, on a MEMS layout. The two-level model is shown to enable prediction of both within-die and wafer-scale etch rate variation for arbitrary wafer loadings.

Model Order Reduction for Determining Bubble Parameters to Attain a Desired Fluid Surface Shape

In this paper, a new methodology for predicting fluid free surface shape using Model Order Reduction (MOR) is presented. Proper Orthogonal Decomposition combined with a linear interpolation procedure for its coefficient is applied to a problem involving bubble dynamics near to a free surface. A model is developed to accurately and efficiently capture the variation of the free surface shape with different bubble parameters. In addition, a systematic approach is developed within the MOR framework to find the best initial locations and pressures for a set of bubbles beneath the quiescent free surface such that the resultant free surface attained is close to a desired shape. Predictions of the free surface in two-dimensions and three-dimensions are presented.

Inference of distributional parameters from compositional samples containing nondetects

Low concentrations of elements in geochemical analyses have the peculiarity of being compositional data and, for a given level of significance, are likely to be beyond the capabilities of laboratories to distinguish between minute concentrations and complete absence, thus preventing laboratories from reporting extremely low concentrations of the analyte. Instead, what is reported is the detection limit, which is the minimum concentration that conclusively differentiates between presence and absence of the element. A spatially distributed exhaustive sample is employed in this study to generate unbiased sub-samples, which are further censored to observe the effect that different detection limits and sample sizes have on the inference of population distributions starting from geochemical analyses having specimens below detection limit (nondetects). The isometric logratio transformation is used to convert the compositional data in the simplex to samples in real space, thus allowing the practitioner to properly borrow from the large source of statistical techniques valid only in real space. The bootstrap method is used to numerically investigate the reliability of inferring several distributional parameters employing different forms of imputation for the censored data. The case study illustrates that, in general, best results are obtained when imputations are made using the distribution best fitting the readings above detection limit and exposes the problems of other more widely used practices. When the sample is spatially correlated, it is necessary to combine the bootstrap with stochastic simulation

ROC parameters in item and context recognition. 'Par??metros ROC en el reconocimiento de items y contextos'

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Efficient learning of reactive robot behaviors with a Neural-Q_learning approach

The purpose of this paper is to propose a Neural-Q_learning approach designed for online learning of simple and reactive robot behaviors. In this approach, the Q_function is generalized by a multi-layer neural network allowing the use of continuous states and actions. The algorithm uses a database of the most recent learning samples to accelerate and guarantee the convergence. Each Neural-Q_learning function represents an independent, reactive and adaptive behavior which maps sensorial states to robot control actions. A group of these behaviors constitutes a reactive control scheme designed to fulfill simple missions. The paper centers on the description of the Neural-Q_learning based behaviors showing their performance with an underwater robot in a target following task. Real experiments demonstrate the convergence and stability of the learning system, pointing out its suitability for online robot learning. Advantages and limitations are discussed

Prediction of glucose excursions under uncertain parameters and food intake in intensive insulin therapy for type 1 diabetes mellitus

Considering the difficulty in the insulin dosage selection and the problem of hyper- and hypoglycaemia episodes in type 1 diabetes, dosage-aid systems appear as tremendously helpful for these patients. A model-based approach to this problem must unavoidably consider uncertainty sources such as the large intra-patient variability and food intake. This work addresses the prediction of glycaemia for a given insulin therapy face to parametric and input uncertainty, by means of modal interval analysis. As result, a band containing all possible glucose excursions suffered by the patient for the given uncertainty is obtained. From it, a safer prediction of possible hyper- and hypoglycaemia episodes can be calculated

Eficacia de la melatonina en insomnio primario en el adulto mayor: revisión sistemática de la literatura

Introducción: La melatonina, una sustancia cronobiótica endógena, es cada vez más empleada para el manejo de los problemas del sueño en adultos mayores por su aparente eficacia y buen perfil de eventos adversos. En este sentido, se intentó evaluar la eficacia de la melatonina en el tratamiento del insomnio primario en el adulto mayor (≥55 años) comparado con benzodiacepinas, zopiclona y placebo a la luz de la evidencia disponible en los últimos cinco años. Métodos: Revisión sistemática de la literatura. Resultados: En comparación con placebo, al parecer la melatonina mejora la calidad y los hábitos de sueño, no así la latencia de inicio de sueño en mediciones subjetivas ni objetivas (polisomnografía); a diferencia de otros medicamentos hipnóticos, no altera la arquitectura del sueño ni genera síntomas diurnos. Conclusiones: No se encontró evidencia que soporte el uso de melatonina en adultos mayores de 55 años para la reducción de la latencia de sueño, aumento del tiempo total de sueño, mejoría de la eficiencia del sueño, disminución de despertares nocturnos o mejoría de la calidad de sueño. Es necesario adelantar más estudios en comparación con placebo y otros medicamentos.