104 research outputs found
Employing process simulation for hazardous process deviation identification and analysis
No full textTo improve industrial safety, several hazard analyses of processes are available. The HAZOP is one of the most frequently employed and analyzes hazardous process deviations based on heuristic knowledge. Despite the wide application of the technique, new developments are especially important to enhance industrial safety. In this sense a systematic procedure is proposed for hazardous process deviation identification and analysis that employs process simulation and heuristic evaluation. Process simulation enables the analysis of process behaviors caused by device malfunctions and the performance of deviation analysis that considers the process non-linearities and dynamics. A comparison between the HAZOP and the proposed procedure is presented using a pump startup system case study, wherein the better system interpretation and results regarding abnormal process conditions are highlighted. A second case study applies the procedures to an offshore oil production process, showing the advantages of employing process simulation for studying deviation during a dynamic process's abnormal behavior
Accelerating the parameters identifiability procedure: Set by set selection
No full textIn this paper, a numerical procedure based on the binary search is proposed for accelerating the parameters identifiability procedure. Basically, the parameters are selected set by set using a given criterion for ranking the parameters. Since parameters identifiability procedures are strongly dependent on the initial estimates of parameters values, simultaneous parameters re-estimation step has been proposed in this paper. Two examples were used to evaluate the performance of the proposed criterion. In both cases, a significant reduction of the computational time was observed, and the results regard to the model fit are similar to those criteria based on the selection of parameters one by one, as usually presented in the literature.Fil: Alberton, Kese P. F. . Universidade Federal do Rio de Janeiro; BrasilFil: Alberton, André Luís . Universidade Estadual do Rio de Janeiro; BrasilFil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Secchi, Argimiro R. . Universidade Federal do Rio de Janeiro; Brasi
Simultaneous Life Cycle Assessment and Process Simulation for Sustainable Process Design
No full textWhile there are software tools available for helping to conduct life cycle assessment (LCA), such as OpenLCA, these tools lack integration with process design, simulation, and optimization software. As LCA has a critical role in sustainable product design, this paper presents a platform called EMSO_OLCA, which integrates the LCA provided by OpenLCA into the Environment for Modeling, Simulation, and Optimization (EMSO). EMSO_OLCA incorporates a database of environmental impact assessment methodologies from OpenLCA and aligns with the principles of LCA outlined in ISO 14040 and ISO 14044. Validation tests were conducted to compare the results obtained by the LCA of sugarcane ethanol using OpenLCA and EMSO_OLCA, revealing a high level of agreement. The average relative error was 0.045%, indicating a negligible discrepancy between the tools. Moreover, it took only 0.3 s for the calculation, which is desirable for use with process system engineering tools. A second case study was applied to combined steam and electricity production from the combustion of sugarcane bagasse and straw in a combined heat and power system. The results show the integration of LCA with simulation and sensitivity analysis tools, thus supporting sustainable decision-making processes. EMSO_OLCA bridges the gap between LCA and process engineering, enabling a holistic approach to the sustainability, design, and implementation of environmentally friendly solutions
Assessment of the Accuracy and Dynamic Simulation Capabilities of Liquid-Vapour Two-Phase Flow Separated and Mixture Models
No full textOtimização das condições do cultivo da bactéria bacillus megaterium para produção de poli((r)-3-hidroxibutirato)
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