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The new energy efficiency politics of the EU requires till year 2020 16% of Bulgarian electricity to be produced from renewable sources. The wind is one of renewable energy sources. The ecological benefits of all the kinds of "green" energy are obvious. It is desirable, however, the utilization of renewable energy sources to be as much as possible economically effective. This means that installment of the respective devices (wind farms, solar farms, etc.) should be based on a detailed and reliable evaluation of the real potential of the country. Detailed study of the wind energy potential of the country - spatial distribution, temporal variation, mean and extreme values, fluctuations and statistical characteristics; evaluation from a point of view of industrial applicability can not be made only on the basis of the existing routine meteorological data - the measuring network is not dense enough to catch all the details of the local flow systems, hence of the real wind energy potential of the country spatial distribution. That is why the measurement data has to be supplemented by numerical modeling. The wind field simulations were performed applying the 5th generation PSU/NCAR Meso-Meteorological Model MM5 for years 2000-2007 with a spatial resolution of 3 km over Bulgaria. Some preliminary evaluations of the country wind energy potential, based on the simulation output are demonstrated in the paper. [ABSTRACT FROM AUTHOR]

In this paper we discuss the efficient distributed-memory parallelization strategy of the Unified Danish Eulerian Model (UNI-DEM). We apply an improved decomposition strategy to the spatial domain in order to get more parallel tasks (based on the larger number of subdomains) with less communications between them (due to optimization of the overlapping area when the advection-diffusion problem is solved numerically). This kind of rectangular block partitioning (with a squareshape trend) allows us not only to increase significantly the number of potential parallel tasks, but also to reduce the local memory requirements per task, which is critical for the distributed-memory implementation of the higher-resolution/finergrid versions of UNI-DEM on some parallel systems, and particularly on the IBM BlueGene/P platform - our target hardware. We will show by experiments that our new parallel implementation can use rather efficiently the resources of the powerful IBM BlueGene/P supercomputer, the largest in Bulgaria, up to its full capacity. It turned out to be extremely useful in the large and computationally expensive numerical experiments, carried out to calculate some initial data for sensitivity analysis of the Danish Eulerian model. [ABSTRACT FROM AUTHOR]

An operational prototype of the Integrated Bulgarian Chemical Weather Forecasting and Information System is presented. This version of the system is limited to relatively low resolution (10 km) but covers all Bulgaria. It is based on the US EPA Models-3 System (MM5, SMOKE and CMAQ). The meteorological input to the system is the Bulgarian operational numerical weather forecast. The boundary conditions are taken from analogous Greek system (Aristotle University of Thessaloniki). Bulgarian system runs automatically twice a day (00 and 12 UTC) and produces 48-hour forecast. The part of the results of each System's run is post-processed in a way to be visualized and uploaded to a respective web site. In the paper, description of the System is given together with a demonstration of its products. In addition highlights of Systems upgrade will be given. [ABSTRACT FROM AUTHOR]