References of "Peters, Bernhard 50002840"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailEnergy and First Law of Thermodynamics
Peters, Bernhard UL

in Encyclopedia of Thermal Stress (2012)

Detailed reference viewed: 26 (2 UL)
Full Text
Peer Reviewed
See detailPrediction of Conversion of a Packed Bed of Fuel Particles on a Forward Acting
Peters, Bernhard UL; Dziugys, Algis

in Computer Aided Chemical Engineering (2011)

Detailed reference viewed: 16 (1 UL)
Full Text
Peer Reviewed
See detailEvaluation of potassium chloride emissions applying the Discrete Particle Method (DPM)
Peters, Bernhard UL; Smula, Joanna UL

in Computers & Chemical Engineering (2011)

Detailed reference viewed: 25 (3 UL)
Full Text
Peer Reviewed
See detailApplication of a detailed reaction mechanism to pyrolysis of miscanthus giganteus
Peters, Bernhard UL

in Journal of Analytical and Applied Pyrolysis (2011)

Detailed reference viewed: 26 (3 UL)
Full Text
Peer Reviewed
See detailSimulation of Thermal Conversion of Solid Fuel By The Discrete Particle Method
Peters, Bernhard UL; Dzuigys, Algis; Navakas, Robertas

in Lithuanian Journal of Physics (2011)

Detailed reference viewed: 43 (1 UL)
Full Text
See detailAn Integrated Approach to Model Blast Furnaces
Hoffmann, Florian UL; Peters, Bernhard UL

in Proceedins: METEC InSteelCON 2011, Düsseldorf, Germany, CCD Congress Center Düsseldorf, 27th June - 1st July, 2011 (2011)

The objective of this contribution is to introduce a discrete numerical approach that describes all relevant mechanisms above the cohesive zone within a blast furnace. It includes a thermal conversion ... [more ▼]

The objective of this contribution is to introduce a discrete numerical approach that describes all relevant mechanisms above the cohesive zone within a blast furnace. It includes a thermal conversion module describing physico-chemical processes for ore and coke and a motion module which allows for spacial movement of the particles within the blast furnace. Both aspects are dealt with by the Discrete Particle Method (DPM), so that the sum of particle processes represents the global process. Conversion of particles is described by one-dimensional and transient differential conservation equations (mass, momentum, energy). Interaction between multiple particles takes place through gaseous intermediates, namely CO, CO2 and H2. For the bulk gas phase within the voidage between particles Computational Fluid Dynamics (CFD) is applied. In order to calculate mechanical interaction of the particles in a packed bed a discrete element technique (DEM) based on classical Newtonian dynamics was employed. This permits the prediction of trajectories of coke and ore particles. The presented model can act as tool to gain valuable insights into blast furnace processes and can serve as a toolbox for prediction and optimization of burden charging, burden movement, gas flow, reduction rates and reduction of coke consumption. [less ▲]

Detailed reference viewed: 88 (14 UL)
Full Text
Peer Reviewed
See detailTrade-offs between energy cost and health impact in a regional coupled energy–air quality model: the LEAQ model
Peters, Bernhard UL; Zachary, Dan; Drouet, L. et al

in Environmental Research Letters (2011)

Detailed reference viewed: 24 (5 UL)
Peer Reviewed
See detailAn implicit approach to predict the dynamics of granular media
Samiei, Kasra UL; Peters, Bernhard UL; Bolten, M. et al

in Abstract book of 81st Annual Meeting of the International Association of Applied Mathematics and Mechanics (2010), 10(1), 55-56

Detailed reference viewed: 34 (3 UL)
Full Text
See detailCombustion Handbook
Peters, Bernhard UL; Raupenstrauch, R.

Book published by Winter,F. (2010)

Detailed reference viewed: 55 (0 UL)
Full Text
Peer Reviewed
See detailA discrete approach to thermal conversion of solid fuel by the discrete particle method (dpm)
Peters, Bernhard UL; Dziugys, Algis; Navakas, Robertas

in Abstract book of 10th International Conference Modern Building Materials, Structures and Techniques (2010)

Detailed reference viewed: 47 (10 UL)
Full Text
Peer Reviewed
See detailApproach To Predict Emission of Sulfur Dioxide during Switchgrass Combustion Employing the Discrete Particle Method (DPM)
Peters, Bernhard UL; Smula, Joanna UL

in Energy & Fuels (2010), 2(24), 945953

During the combustion of switchgrass sulfur dioxide is released. Therefore, the objective of the present study is to evaluate the kinetics of formation of sulphur dioxide during switchgrass combustion ... [more ▼]

During the combustion of switchgrass sulfur dioxide is released. Therefore, the objective of the present study is to evaluate the kinetics of formation of sulphur dioxide during switchgrass combustion. Experimental data obtained by the National Renewable Energy Institute in Colorado was used to evaluate the kinetic data. Conversion of switchgrass was described by the Discrete Particle Method (DPM) that is an efficient tool to predict all major processes such as heating-up, pyrolysis and combustion. In conjunction with initial and boundary conditions and a given set of kinetic parameters allows for prediction of the sulphur dioxide emission. The rate of sulphur dioxide formation is approximated by an Arrhenius-like ex- pression. These parameters were determined by a least square method so that the deviation between the measured data and predictions was minimized. The kinetic data determined yielded good agreement between experimental data and predictions. [less ▲]

Detailed reference viewed: 29 (1 UL)
Full Text
Peer Reviewed
See detailSelecting a fast air quality calculator for an optimization meta-model
Aleluia Da Silva Reis, Lara UL; Zachary, D. S.; Leopold, U. et al

in Monitoring and Management of Air Pollution (2009)

Detailed reference viewed: 27 (2 UL)
Full Text
Peer Reviewed
See detailAn Approach to Visualise Tensor Fields in Engineering
Peters, Bernhard UL

in Dagstuhl Seminar (2009)

Detailed reference viewed: 19 (0 UL)
Full Text
Peer Reviewed
See detailParallel implementation of domain decomposition algorithm for molecular dynamics
Berhe, Girma UL; Peters, Bernhard UL; Varrette, Sébastien UL et al

in PARENG 2007 (2009)

The objective of this study is to apply a domain decomposition algorithm to the La- grangian based Discrete Particle Method (DPM). The latter deals with the thermal decomposition of solid e.g. biomass ... [more ▼]

The objective of this study is to apply a domain decomposition algorithm to the La- grangian based Discrete Particle Method (DPM). The latter deals with the thermal decomposition of solid e.g. biomass fuel particles. It considers each particle as an individual entity that is represented by an instantiation of a class. Modelizing thermal conversion of biomass in real systems involves a large number of particles. This can be achieved in a reasonable computing time only through a parallel implementation able to distribute the particles e.g. objects onto the participating processors. This pa- per present such an implementation based on Orthogonal Recursive Bisection (ORB) method. Due to the fact that the particles may take arbitrary positions within the do- main, a particular issue addressed by the domain decomposition technic used in this work is to generate a load balance for each processors as uniform as possible. Fur- thermore, the particles are coupled via heat transfer. One challenge for the designed algorithm is then to identify the nearest neighbours of each particle so that the nec- essary information can be communicated between them. Since the positions of all particles are subject to change and may migrate from one processor to another, the communication links together with the number of neighbors are highly dynamic. The implementation is carried out using the KAAPI API, a C++ library for parallel pro- gramming that allows to execute ?ne/medium grain multithreaded computation with dynamic data ?ow synchronizations. First results are very promising since they indi- cate that our algorithm creates sub domains with an average imbalance ranging from 2.5% to 6.3% for uniformly distributed particles. [less ▲]

Detailed reference viewed: 62 (3 UL)
Full Text
Peer Reviewed
See detailExperimental and numerical evaluation of the transport behaviour of moving bed on a forward acting grate
Peters, Bernhard UL; Dziugys, Algis; Hunsinger, Hans et al

in Granular Matter (2007), 9

Detailed reference viewed: 15 (1 UL)
Peer Reviewed
See detailEvaluation of the residence time of a moving fuel bed on a forward acting grate.
Peters, Bernhard UL; Dzingys, A.; Hunsinger, H. et al

in Granular Matter (2006)

Detailed reference viewed: 66 (0 UL)
Peer Reviewed
See detailAn approach to qualify the intensity of mixing on a forward acting grate.
Peters, Bernhard UL; Dziugys, Algis; Hunsinger, H. et al

in Chemical Engineering Science (2005), (60/6), 1649-1659

Detailed reference viewed: 64 (0 UL)