Analysis of PV Systems Installed in Paraná

HIGHLIGHTS Comparative study of the operation of eight real cases of systems installed in Paraná. There is a convergence between the values estimated by the Atlas and the ones calculated. It was possible to identify the cities that presented the greatest figures of merit.

Abstract With the development of renewable energies in the world, there is also an increase in solar photovoltaic systems globally. In Brazil, and in the state of Paraná, there is an exponential growth of this form of energy generation, which causes the necessity to study the performance of the installed systems. Therefore, this article analyzed eight photovoltaic systems installed in the state of Paraná, under the aspect of figures of merit parameters, through calculations of final yield, performance ratio and capacity factor. In addition, the calculated values were compared to the values estimated by the Solar Energy Atlas of the State of Paraná. As a result, the largest average differences in final yield, between the calculations and the Atlas, were found in the cities of Cascavel, while the smallest were observed in Goioerê.

Forecasting the Electricity Consumption in a Higher Education Institution

Abstract The objective of this paper is to present a mathematical representation by Regression Analysis that enables the projection of electricity consumption according to the built area and population in Higher Education Institutions (HEI) and to define an Indicator that contemplates the most significant variable in consumption. of electric power. The Null Hypothesis -H0 is that in a HEI the most appropriate indicator is the Kilo Watt Hour per square meter (kWh / m2) as proposed by the Ministry of Planning and Management - MP. The research universe is 2,368 HEI, identified in a report from the Ministry of Education (2015). As Sample and case study, data from the thirteen Campi of the Federal Technological University of Paraná (UTFPR) are used. As a computational tool we use the IBM SPSS Statistics Base Software for Windows version 23 from SPSS Inc .. For the considered Sample and research design, the conclusion is that the null hypothesis is rejected accepting that the most significant indicator is the kilo. Watt Time per user (kWh / user). This conclusion does not exclude the relationship between constructed area and Energy Consumption, but reveals that it is not as significant as the number of individuals in HEI for this sample.

Inventário de emissões de gases do efeito estufa da cidade do Rio de Janeiro / Inventory of greenhouse gases in gas exhaust of the city of Rio de Janeiro

Os resultados desse estudo apresentam as emissões de dióxido de carbono e metano, de responsabilidade do município, provenientes dos setores de energia, indústria, tratamento de resíduos, transporte, uso do solo e, florestas e agricultura.