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EN
High growth of human population and dynamic socio-economic development have contributed to mounting demand for electric energy. Currently, electric energy is mainly generated from mined and combusted fossil fuels and by the nuclear power plants. The current geopolitical crisis forces mankind to reflect upon the search for alternative energy sources. In this paper analyses of the potential solar radiation volume for 12 months and annual total have been made and visualized on the maps. Additionally, the energy volume gained by the photovoltaic systems in a 12-month period and the annual total as well as underutilised solar radiation energy were calculated. It was found that the tested sites had a solar potential in the range from 113 kWh·m-² to 1314 kWh·m-². For process reasons, only 18 to 203 kWh·m-² could be converted into electric energy, which accounts approximately for 1/5 of the total radiation. The results can be useful to show the best investment site for commercial plants and households in the mountainous area. Surplus energy output should be stored or sold to the power grid. Moreover, the energy source from photovoltaic panels in these areas is only one of the options for green energy generation. investment site for commercial plants and households in the mountainous area. Surplus energy output should be stored or sold to the power grid. Moreover, the energy source from photovoltaic panels in these areas is only one of the options for green energy generation.
PL
Celem pracy jest analiza dobowej zmienności całkowitego promieniowania słonecznego i temperatury powietrza w Bydgoszczy w zależności od rodzaju masy powietrza. Badania przeprowadzono dla miesięcy charakterystycznych dla poszczególnych pór roku, tj. dla stycznia, kwietnia, lipca i października. Wykorzystano wyniki pomiarów meteorologicznych prowadzonych w odstępach trzydziestominutowych w okresie lat 2003-2007. Dane te pochodziły z automatycznej stacji pomiarowej, funkcjonującej na terenie Instytutu Geografii UKW w zachodniej części Bydgoszczy. Rodzaje mas powietrza określono na podstawie analizy codziennych dolnych map synoptycznych Europy z godziny 00:00 czasu uniwersalnego skoordynowanego (UTC), zamieszczanych w Codziennym Biuletynie Meteorologicznym IMGW. Uwzględniono podział mas powietrza na: arktyczne (PA), polarne morskie świeże (PPm), polarne morskie ciepłe (PPmc), polarne morskie stare (PPms), polarne kontynentalne (PPk) i zwrotnikowe (PZ). Badania prowadzono jedynie dla dni z pogodą wewnątrz-masową, kiedy przez całą dobę masa powietrza nie zmieniała się.
EN
The aim of the paper was to investigate the daily course of global solar radiation and air temperature in Bydgoszcz (in January, April, July, October) depending on kind of air mass. The study was based on the data collected from 2003 to 2007 by automatic station, situated in the west side of Bydgoszcz. Air masses was specified on the base of surface synoptic charts of Europe from 00:00 UTC, published in Daily Meteorological Bulletin of IMGW.
EN
The paper presents the relationships between daily sums of global solar radiation and real sunshine duration and separately, mean for a day amount of total cloudiness (computed from three standard observation terms) within 11 May - 31 July period in Felin. This period is approximated to the insolation summer one and is characterised by a long day (at least 15.5) and slight differentiation in time. The relationships were obtained on the basis of mean decade data and a stretch of single days during five seasons (but not successive). They were described with two types of equation regressions: linear and curvilinear (a 2-degree polynomial). Additionally, the same relationships were determined regarding the days without and with precipitation during the examind summer periods. The analysis performed in relation to effectiveness of each of these equations application to estimate daily sums of global solar radiation (the relative and standard errors) showed that better results are obtained from the equations concerning relations of the solar radiation with sunshine duration than cloudiness. It also reveated that to describe both types of the relationships, a polynomial is more effi cient than linear regression (particularly in the case of daily data examination). Moreover, it was stated that determination of these relationships for some specific days (eg. days without precipitation) is appropriate as it allws to estimate the daily sum of solar radiation with smaller errors.
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