Development of Future EU District Heating and Cooling Network Solutions, Sharing Experiences and Fostering Collaborations

Heating and cooling consume half of the EU’s energy and much of it is wasted. The lion’s share of heating and cooling is still generated from fossil fuels, mainly natural gas, while only 18% is generated from renewable energy. In order to fulfil the EU’s climate and energy goals, the heating and cooling sector must therefore sharply reduce its energy consumption and cut its use of fossil fuels. To this end the European Commission adopted a heating and cooling strategy in February 2016 as part of the wider Energy Union Package. A number of activities and projects funded by the programmes of European Union are supporting this new EU heating and cooling strategy

Empirical Models for Indoor Propagation in CTU Prague Building

Indoor propagation modelling is demanded for the design and maintenance of indoor wireless services. Empirical modelling seems to be the most efficient approach. Even so there are many studies dealing with empirical models for indoor propagation, the results can be hardly used for local buildings without modifications. There are several specific architecture styles and used materials. The indoor propagation measurement campaigns in the frequency range of 900 MHz were done in two typical multi-storey university buildings in Prague. Based on the measurement results, the easy-to-use empirical propagation prediction were derived for both of the buildings with satisfactorily accuracy. variations of the models were studied. The models are being implemented into a CAD software tool for complex design of indoor cellular systems. The project continues using a similar approach for other frequency bands. In the same time, other novel ways of semi-empirical modeling of indoor propagation are investigated

Wireless LAN Network Design: Site Survey or Propagation Modeling?

There are two basic ways to deploy wireless LAN access points in an indoor scenario: manual deployment using a site survey based on empirical measurements or planning using a software tool with built-in signal propagation models. In this paper advantages and disadvantages of both ways are discussed. The planning based on propagation modeling is recognized as a highly preferable approach for design of large WLANs. Experimental data in this paper were processed in MATLAB

Electromagnetic Field in Anechoic and EMC Chambers - Part I - Modelling

Anechoic and EMC chamber at the CTU in Prague was designed and used for a variety of antenna measurements and EMI testing. Due to different measurement methods (near field, far field, compact range, and EMI measurement) applied in the laboratory, different simulations were performed during the design process

Results of Indoor Propagation Measurement Campaign at 1900 MHz

For the design of indoor picocellular systems in the frequency bandof 1800/2100 MHz, a signal propagation modelling is needed. Empiricaland semi-empirical models represent an efficient approach to thecoverage prediction. For these models, suitable empirical parametersmust be provided. The indoor propagation measurement campaign in thefrequency range of 1900 MHz was carried out in several multi-flooredbuildings in Prague and Brno . For the campaign a special portablemeasurement system was developed. Based on the measurement results, themodel parameters were derived. Optimised parameters are presented fortwo basic models (empirical and semi-empirical) according to the indoorenvironment classification. The results are compared to standard modelsas well. Accuracy and validity of derived models are discussed

Novel Approach to Indoor Propagation Modeling

An indoor propagation prediction for personal communication systems is demanded for modern wireless services. There are two main general approaches for indoor propagation modeling: empirical and deterministic. Both of them have their advantages and disadvantages. Novel semi-deterministic approach to modeling of propagation of electromagnetic waves inside buildings, which combines both deterministic and empirical approaches is introduced. It is based on ray-launching technique, Monte Carlo method and statistics. The model is very fast and requires only easy to obtain inputs. The model is capable of wide-band parameters prediction as well. A description of the new approach together with firs results of the model implementation and its evaluation by measurements are presented

Vypocet a rozbor ucinnosti stineni.

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