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Plant Data (plant + data)
Selected AbstractsWaste minimization techniques and options for the wet and pretreatment sections of coil coating plantsENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, Issue 3 2004Nicola J. Brown Abstract Waste minimization has proven successful in recent years for many companies in reducing their raw material and utility consumption and costs as well as their waste-treatment and disposal costs. Although waste minimization opportunities can be identified through observation of plant operation practices and through application of generalized heuristic principles, many opportunities are determined only through analysis of plant data. In this study, two preassessment techniques (scoping audit and true cost of waste assessment) and two techniques for a more detailed assessment (mass balances and monitoring and targeting) were evaluated to determine whether they identified similar waste minimization opportunities on two coil coating lines. All techniques identified similar waste minimization opportunities, although the true cost of waste assessment and the monitoring and targeting analysis were found to be the most accurate in prioritizing the waste minimization opportunities. The raw material "scope to save" percentage in the scoping audit requires modification for application to South African industry. General waste minimization options for the wet and pretreatment sections of the coil coating industry are also presented. © 2004 American Institute of Chemical Engineers Environ Prog, 23: 185,193, 2004 [source] Simultaneous Data Reconciliation and Parameter Estimation in Bulk Polypropylene Polymerizations in Real TimeMACROMOLECULAR SYMPOSIA, Issue 1 2006Diego Martinez Prata Abstract This work presents the implementation of a methodology for dynamic data reconciliation and simultaneous estimation of quality and productivity parameters in real time, using data from an industrial bulk Ziegler-Natta propylene polymerization process. A phenomenological model of the real process, based on mass and energy balances, was developed and implemented for interpretation of actual plant data. The resulting nonlinear dynamic optimization problem was solved using a sequential approach on a time window specifically tuned for the studied process. Despite the essentially isothermal operation conditions, obtained results show that inclusion of energy balance constraints allows for increase of information redundancy and, as a consequence, for computation of better parameter estimates than the ones obtained when the energy balance constraints are not considered (Prata et al., 2005). Examples indicate that the proposed technique can be used very effectively for monitoring of polymer quality and identification of process malfunctions in real time even when laboratory analyses are scarce. [source] Analysis of management actions, human behavior, and process reliability in chemical plants.PROCESS SAFETY PROGRESS, Issue 1 2008I. impact of management actions Abstract While management and engineering actions have a significant impact on process reliability, these factors have received too little attention in calculating plant risks. In this work, the focus is on understanding and modeling the influence of human behavior patterns on plant safety in two settings. The first, introduced in Part I, involves a framework to estimate the impacts of management and engineering decisions, process operator performance, and processing equipment operations on the failure state of chemical plants. As examples, the impacts of poor training, maintenance problems, operator inabilities, control system failures, and excessive feed quantities, on failure states are studied. The management and engineering team and the operators are found to have significant impacts on process reliability. While the theoretical framework introduced herein is illustrated using hypothetical plant data, it should provide a basis for more quantitative safety analyses. Attempts to obtain operating data in industrial plants for validation of the framework were unsuccessful because of confidentiality and liability issues associated with industrial data. © 2007 American Institute of Chemical Engineers Process Saf Prog, 2007 [source] Incorporation of Dynamic Flexibility in the Design of a Methanol Synthesis Loop in the Presence of Catalyst DeactivationCHEMICAL ENGINEERING & TECHNOLOGY (CET), Issue 1 2008P. Parvasi Abstract A typical methanol loop reactor is analyzed in this study. All basic equipment in the Lurgi-type methanol loop is included in the proposed model. A detailed dynamic model described by a set of ordinary differential and algebraic equations is developed to predict the behavior of the overall process. The model is validated against plant data. A new deactivation model is proposed and its parameters are estimated using daily plant data. The interesting feature of this model is that it incorporates the effect of carbon dioxide and carbon monoxide on the catalyst deactivation. Using the model, the effect of various factors to compensate for the reduction of production rate due to catalyst deactivation has been examined. Some improvements can be achieved by adjusting the operating conditions. Finally, a strategy is proposed for prevention of reduced production due to catalyst deactivation. [source] | ||||||||||