2 resultados para Building demand estimation model

em Universidade Federal do Rio Grande do Norte(UFRN)


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This thesis aims to investigate the space of radio reporting and production conditions in radio newscasts in commercial stations operating in modulated frequency (FM) in the city of Natal, Rio Grande do Norte. Through preliminary empirical observation, it was observed that this journalistic style (radio reportage) is hardly present in the schedule of local commercial radio stations, with a lack of in-depth news coverage. The research is based on the content broadcast in four daily radio news programs transmitted by commercial stations. It raises the hypothesis that the crisis that cuts across journalistic companies could be justified by the lack of financial funding in in-depth news reporting. The starting point for the case study (Yin, 2005) was a bibliographical research, for building a theoretical model of reference for the studied style, based on Prado (1989), Bespalhok (2006), Meditsch (2007), Lopes (2013) and Ferraretto (2014). The methodology also included listening to content broadcast during a week in the four analyzed news programs, participant observation and interviews with professionals who produce these programs. There were eight events with similar characteristics to radio reporting, all broadcast in just one of the analyzed programs. According to the interviewees, the format is rarely used because it would generate high businesses costs, which are prohibitively high for the stations. The research also inferred that besides the lack of entrepreneurial vision, there is accommodation of the professionals who could produce news stories even with little structure available. Finally, this work points out the need to invest more on local radio journalism to improve the quality of the information provided on commercial broadcasters in Natal and the training of journalism students to use radio's potential to maximum use.

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This work aims to predict the total maximum demand of a transformer that will be used in power systems to attend a Multiple Unit Consumption (MUC) in design. In 1987, COSERN noted that calculation of maximum total demand for a building should be different from that which defines the scaling of the input protection extension in order to not overestimate the power of the transformer. Since then there have been many changes, both in consumption habits of the population, as in electrical appliances, so that this work will endeavor to improve the estimation of peak demand. For the survey, data were collected for identification and electrical projects in different MUCs located in Natal. In some of them, measurements were made of demand for 7 consecutive days and adjusted for an integration interval of 30 minutes. The estimation of the maximum demand was made through mathematical models that calculate the desired response from a set of information previously known of MUCs. The models tested were simple linear regressions, multiple linear regressions and artificial neural networks. The various calculated results over the study were compared, and ultimately, the best answer found was put into comparison with the previously proposed model