Naveen Kapoor

Bio: Naveen Kapoor is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Tower & Dynamic simulation. The author has an hindex of 2, co-authored 5 publications receiving 66 citations.

Effect of recycle structure on distillation tower time constants

Abstract: Recycle of material or energy can change the effective dynamic behavior of a process. Distillation towers are inherently recycle processes. Published tower time constants based on linear analysis have been substantially in error when compared to actual responses for many cases. The reason for this error is shown to be the recycle nature of distillation towers. An improved method of estimating time constants, which can be extended to industrial towers, is presented.

An analytical approach to approximate dynamic modeling of distillation towers

Abstract: On cherche a determiner analytiquement les compositions en tete et en fond de colonne en regime transitoire. On presente les fonctions de transfert pour la composition

An analytical approach to approximate dynamic modeling of distillation towers

Abstract: This paper presents analytical expressions for predicting distillate and bottoms composition transient responses due to changes in manipulative and disturbance variables of a tower. The authors in an earlier paper showed that towers are inherently recyle structures and linearization techniques should be applied at perturbed conditions of tower models to evaluate realistic tower time constants. In this earlier paper, a numerical approach to estimating time constants was presented. The numerical approach is extended in this paper to an analytical approach that requires only steady state and design information of a tower. The analytical approach is relatively simple to use and much less time consuming compared to dynamic simulation. Further, the analytical technique gives insight into why towers respond nonlinearly.

Make: Maryland Automatic Knowledge Extractor

Abstract: This paper discusses the need for developing an automated process for knowledge acquisition. A number of existing knowledge acquisition techniques are discussed. The existing techniques are based on shallow knowledge in terms of production rules. It is shown in this paper that process systems require a more systematic method of analysis, wherein a deep understanding of the physics of the process has to be integrated with heuristic information that needs to be extracted from operators or engineers. The process of modeling deep knowledge is achieved by the goal tree-success tree concept. The heuristic information is extracted from the answers of operators to simple questions made by the computer. The questions addressed to the operator are generated from the deep knowledge of the plant. The MAKE process discussed in this paper models the deep understanding and the heuristic information about a plant.

Understanding the Dynamic Behavior of Distillation Columns

Abstract: Mise en place d'un modele a deux constantes de temps en tenant compte des changements d'ecoulement internes et externes

Dynamics and control of distillation columns : a critical survey

Abstract: Distillation column dynamics and control have been viewed by many as a very mature or even dead field. However, as is discussed in this paper significant new results have appeared over the last 5-10 years. These results include multiple steady states and instability in simple columns with ideal thermodynamics (which was believed to be impossible), the understanding of the difference between various control configurations and the systematic transformation between these, the feasibility of using the distillate-bottom structure, for control (which was believed to be impossible), the importance of flow dynamics for control studies, the fundamental problems in identifying models from open-loops responses, the use of simple regression estimators to estimate composition from temperatures, and an improved general understanding of the dynamic behavior of distillation columns which includes a better understanding of the fundamental difference between internal and external flow, simple formulas for estimating the dominant time constant, and a derivation of the linearizing effect of logarithmic transformations. These issues apply to all columns, even for ideal mixtures and simple columns with only two products. In addition, there have been significant advances for cases with complex thermodynamics and complex column configurations. These include the behavior and control of azeotropic distillation columns, and the possible complex dynamics of nonideal mixtures and of interlinked columns. However, both for the simple and more complex cases there are still a number of areas where further research is needed.