Gerenciamento de Big Data em plantas industriais

Nowadays the companies generate great amount of data from different sources, however some of them produce more data than they can analyze. Big Data is a set of data that grows very fast, collected several times during a short period of time. This work focus on the importance of the correct management of Big Data in an industrial plant. Through a case study based on a company that belongs to the pulp and paper area, the problems resolutions are going to be presented with the usage of appropriate data management. In the final chapters, the results achieved by the company are discussed, showing how the correct choice of data to be monitored and analyzed brought benefits to the company, also best practices will be recommended for the Big Data management

Estudo e análise de sistemas de refrigeração industrial integrados a plantas de processo químico

This work approaches the analysis of industrial refrigeration systems applied to a chemical processing industry that, in this case, consists of refrigeration machines, cooling tower system, cold water system and brine system. In this study it is highlighted the function and characteristics of different systems, including the main components, the most important features, their functionality and best practices. The motivation for this work is the fact that refrigeration systems are essential in many industrial processes, presenting a high energy consumption that is related to a significant parcel of production costs. It has aimed to understand the case studied in order to evaluate the energy efficiency of systems and to compare with Carnot efficiency and best available technologies. The assessment aims to identify irregularities, find opportunities and propose solutions that increases the performance of equipment and the overall system efficiency. Therefore, the studies intend to reduce the operation costs and generate gains for the company