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dc.contributor.advisorKeller, Armando Leopoldo
dc.contributor.authorCâmara, Regina Ravazi da
dc.date.accessioned2022-06-17T11:24:32Z
dc.date.accessioned2022-09-22T19:52:00Z
dc.date.available2022-06-17T11:24:32Z
dc.date.available2022-09-22T19:52:00Z
dc.date.issued2019-12-03
dc.identifier.urihttps://hdl.handle.net/20.500.12032/65898
dc.description.abstractBased on ANEEL Normative Resolution 733/2016, the new tariff modality for low voltage consumers, called White Tariff, was instituted, which entered into force on January 1, 2018, as an option for units with higher or lower consumption. equal to 500 kWh / month, expected to be available to all consumers from January 2020. A pertinent question then arises for consumers who fall under the program: How to know if the consumer will benefit from joining this new tariff modality? This paper aims to describe the development of a simulation tool to assist the consumer in this decision making. This tool was developed using Microsoft Excel® software and Python programming language. The developed solution receives the user's consumption information and calculates this consumer's invoice value for both white and conventional tariffs. If adherence to the white tariff has greater financial advantage, the percentage of savings is presented to the consumer, otherwise it is indicated to make changes in consumption habits, changing the time of use of certain equipment. The graphs of the daily consumption load curve are shown without change, and with change in the load utilization time. Three consumption profiles were analyzed using the developed tool. Case A presented a savings percentage of 4.7% using the white rate after the modification of the time of use of certain equipment. Case B presented a savings percentage of 3.1% without the need for load reallocation. Case C showed no savings using the white tariff. The developed tool presented easy communication with the user, and proved efficient to help him to decide on the change in his tariff modality.en
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.subjectTarifa brancapt_BR
dc.subjectPythonen
dc.titleAmbiente de simulação para verificar a viabilidade de adesão da tarifa brancapt_BR
dc.typeTCCpt_BR


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