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MONACO, D. F. FastLAP Development of a graphic visual preprocessor for RELAP5 code. 2019, 222 p. Dissertação (Mestrado em Tecnologia Nuclear) – Instituto de Pesquisas Energéticas e Nucleares – IPEN-CNEN/SP. São Paulo. Clean energy has contributed to increased investment and research in nuclear power in the last decade. However, the occurrence of nuclear accidents throughout history still causes the population to feel unsafe. Regulatory agencies have increased the safety requirements in nuclear plants and due to this they have been making efforts to carry out numerical simulations with computing programs for the analysis of accidents in nuclear installations to assure the safety for the plant and the surrounding population, even before its construction. In Brazil, in order to meet the requirements of the Brazilian regulatory agency, the administrator of the national nuclear reactors must present a thermo-hydraulic study in the area of accident analysis and operational transients for nuclear installations. This is done in order to license nuclear plants, using appropriate computational tools, such as the RELAP5 code. This computing program is very efficient in simulation of accidents in nuclear power plants, but it is not very friendly on entering its input data. This issue has motivated the development of preprocessors to assist the preparation of geometric data from nuclear plants, which is part of the input data for the RELAP5 code. In addition, before starting to use these computing tools, the user needs to assemble a nodal or modeling of the problem to better represent the plant and the phenomenology involved during an accident or transient in order to allow both to be properly simulated by the tool. The aim of this work was to create a preprocessor capable of leveraging user on input data preparation for the RELAP5 code as well as assisting him in the creation of the nodalization diagram required to get the best representation – as real as possible – of the power plant being studied. The preprocessor developed in this work is graphical, visual and user-friendly in order to allow the user to begin the nodalization by using this tool, thus integrating the steps of modeling and preparing the input data for the RELAP5 code in a single phase, and also reducing the efforts needed to achieve it, reducing the time spent in this task. To achieve this goal, MS Excel® – a widely used electronic spreadsheet tool – was used as a development platform, and a MS-Excel® add-in was built with the C # language and the .NET platform. With the use of this programming language, its object-oriented features and full integration with the MS Excel® tool, thru Interop and Visual Studio Tools for Office (VSTO), it was possible to achieve a faster development of an efficient tool for this purpose, making use of features that would not be available through the Visual Basic for Application (VBA). The preprocessor developed in this work allows the building of the nodalization of a thermo-hydraulic problem, where the hydrodynamic components are designed through the automation of MS Excel® AutoShapes, and the input data of these components are inputted thru friendly and functional interfaces. Once the preprocessor was created as a MS Excel® add-in, the programming lines created are not restricted to a single worksheet, which makes it easier to be updated and redistributed. The result of this work is FastLAP, a RELAP5 Preprocessor, which reduces the user's effort in both preparing the nodalization and preparing the input data for RELAP5 code, once the tool is user-friendly and displays both the names of the properties as defined by the RELAP5 code and the names of the actual physical amounts being represented. The preprocessor was tested in the elaboration of the input data for RELAP5 regarding an experimental problem found in the literature and has proven to be a powerful graphical tool, helping RELAP5 users to visually organize the input data and giving conditions for a faster analysis of results. This work created not only a new aid tool for the RELAP5 users, but also a brand-new approach for the simulation of thermo-hydraulic accidents with the code, merging two phases: nodalization and preparation of the input data.

FastLAP: desenvolvimento de um pré-processador gráfico visual para o código RELAP5