# Difference between revisions of "SC²S Colloquium - December 17, 2009"

(Created page with '{| class="wikitable" |- | '''Date:''' || December 3 |- | '''Room:''' || 02.07.023 |- | '''Time:''' || 14:00 pm, s.t. |- |} == Sergey Matushkin: Sensitivity and Uncertainty analy…') |
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- sensitivity and uncertainty analyses methods | - sensitivity and uncertainty analyses methods | ||

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+ | == Anas Obeidat: Parallel refinement and coarsening of recursively structured adaptive triangular grids == | ||

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+ | In my presentation I will talk about the structure the grid, I will start with an overview about reminding the audience about hat we talked about in the first presentation -Sierpinski space-ﬁlling curve, and Stack system, Recursive bisection among grid, Reﬁnement grid. | ||

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+ | Then I'll talk about the work I did Load redistribution, Adaptation-Refinement-Coarsening in parallel. | ||

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+ | == Ömer Demirel: Parallelisation of a Discontinuous Galerkin Solver for the Shallow Water Equation == | ||

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+ | In my talk, I will briefly describe the Shallow Water Equation(SWE) and why it is suitable to use in Tsunami-like fluid simulations. Then, I will mention the sequential and parallel algorithms for Discontinuous Galerkin Solver (DGS) using Sierpinski space-filling curves on fixed and structured grid. Finally, I will conclude my talk with the simulation results, project's current state and future plans. |

## Latest revision as of 12:51, 17 December 2009

Date: |
December 3 |

Room: |
02.07.023 |

Time: |
14:00 pm, s.t. |

## Sergey Matushkin: Sensitivity and Uncertainty analysis for PV systems

The main source of all renewable energy plants is nature factors, for the PV plants it is sun irradiation, which gives the output energy. Reliable energy yield predictions play an essential role during planning and design of (large scale) photovoltaic systems, as they form the basis of many economical and technical decisions. Therefore it is very important to understand the uncertainty of inputs and model parameters entering into energy yield predictions and their effect on the prediction result and try to avoid or reduce artificial error made during computational process. The uncertainties can greatly change the output energy and to lead to wrong economical decision, so this is in great interest to understand the limitation of the difference between predicted energy yield and real one.

For this propose in this work I'll concentrate on:

- most important weather factors (irradiance and temperature) variances and estimations

- models for energy yield predictions and technical uncertainties(PV module)

- data processing of input data(binning process, averaging process)

- sensitivity and uncertainty analyses methods

## Anas Obeidat: Parallel refinement and coarsening of recursively structured adaptive triangular grids

In my presentation I will talk about the structure the grid, I will start with an overview about reminding the audience about hat we talked about in the first presentation -Sierpinski space-ﬁlling curve, and Stack system, Recursive bisection among grid, Reﬁnement grid.

Then I'll talk about the work I did Load redistribution, Adaptation-Refinement-Coarsening in parallel.

## Ömer Demirel: Parallelisation of a Discontinuous Galerkin Solver for the Shallow Water Equation

In my talk, I will briefly describe the Shallow Water Equation(SWE) and why it is suitable to use in Tsunami-like fluid simulations. Then, I will mention the sequential and parallel algorithms for Discontinuous Galerkin Solver (DGS) using Sierpinski space-filling curves on fixed and structured grid. Finally, I will conclude my talk with the simulation results, project's current state and future plans.