National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Solar hot water storage tank
Vyhlídalová, Karolína ; Vranayová,, Zuzana (referee) ; Hirš, Jiří (referee) ; Horák, Petr (advisor)
The solar hot water storage tank is off great importance in the solar collector array. It allows transformed energy accumulation thus deals with the inconsistency between supply and demand. The suitable design of the storage tank can improve system efficiency. The storage capacity represents the balance between the amount of stored hot water and the tank's heat losses. The design of the storage capacity is based on three hypotheses. The coverage of hot water demand by solar energy, the ratio between storage capacity and solar thermal collector area and the prediction that the storage capacity corresponds to one- to twofold hot water demand. The purpose of this thesis is to share an understanding of the solar storage tanks design and to improve the design through numerical simulation, experimentations and general calculations. It also focuses on the confirmation of the used hypotheses and determination of the best way to design the solar storage tank for general practice and further potential discussions. The simulation model has three variables – the storage capacity, collector area and the number of occupants. The intent is to find the interdependence of these three variables. The purpose of the simulations is to modify the design of the solar tank based on the mutual influence of studied parameters. The modifications are performed based on the users' needs.
Solar hot water storage tank
Vyhlídalová, Karolína ; Vranayová,, Zuzana (referee) ; Hirš, Jiří (referee) ; Horák, Petr (advisor)
The solar hot water storage tank is off great importance in the solar collector array. It allows transformed energy accumulation thus deals with the inconsistency between supply and demand. The suitable design of the storage tank can improve system efficiency. The storage capacity represents the balance between the amount of stored hot water and the tank's heat losses. The design of the storage capacity is based on three hypotheses. The coverage of hot water demand by solar energy, the ratio between storage capacity and solar thermal collector area and the prediction that the storage capacity corresponds to one- to twofold hot water demand. The purpose of this thesis is to share an understanding of the solar storage tanks design and to improve the design through numerical simulation, experimentations and general calculations. It also focuses on the confirmation of the used hypotheses and determination of the best way to design the solar storage tank for general practice and further potential discussions. The simulation model has three variables – the storage capacity, collector area and the number of occupants. The intent is to find the interdependence of these three variables. The purpose of the simulations is to modify the design of the solar tank based on the mutual influence of studied parameters. The modifications are performed based on the users' needs.
Tests and validation of WRF model for weather forecasting
Nováková, Tereza ; Halenka, Tomáš (advisor) ; Žák, Michal (referee)
Testing and validation of the numerical prediction model is an important part of its usage for weather prediction. The simulations have been performed with model WRF (Weather Research and Forecasting), of which basic principles are described. The simulation was set up in reanalysis mode, i.e. with perfect boundary conditions, for one month, July of 2000. The simulation in hydrostatic approximation with 10 km resolution is compared to the simulation with one nested domain in non-hydrostatic mode with 2 km resolution. The study is aimed at the convective and stratiform precipitation in daily total amount of precipitation and compared to the total amount from observed data. In addition, a two-day weather forecast was validated. The forecast has been run daily since January 2016 at the Department of Atmospheric Physics. Standard deviation of 24 and 48 hour forecast is compared with GFS global model analysis. Powered by TCPDF (www.tcpdf.org)

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