Institution
Aspen Technology
Company•Bedford, Massachusetts, United States•
About: Aspen Technology is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Activity coefficient & Model predictive control. The organization has 269 authors who have published 293 publications receiving 15606 citations. The organization is also known as: Aspen Technology, Inc.
Topics: Activity coefficient, Model predictive control, Non-random two-liquid model, Solubility, Process (engineering)
Papers published on a yearly basis
Papers
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TL;DR: An overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors, is provided in this article, where a brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control and identification technology.
4,819 citations
TL;DR: In this article, Chen et al. generalized the NRTL model to represent the excess Gibbs energy of aqueous multicomponent electrolyte systems and used binary parameters to predict deviation from ideality.
Abstract: The electrolyte nonrandom two-liquid (NRTL) model proposed by Chen et al. (1982) is generalized to represent the excess Gibbs energy of aqueous multicomponent electrolyte systems. Using only binary parameters, the model correlates and predicts the deviation from ideality of aqueous multicomponent electrolyte systems over the entire range of temperature and concentration.
799 citations
TL;DR: In this article, a general disturbance model that accommodates unmeasured disturbances entering through the process input, state, or output is presented, and conditions for which offset-free control is possible are stated for the combined estimator, steady-state target calculation, and dynamic controller.
441 citations
TL;DR: The electrolyte nonrandom two-liquid model proposed by Chen and Evans provides a thermodynamically consistent framework for representation of the phase equilibria of mixed-solvent electrolyte systems using only binary adjustable parameters as discussed by the authors.
Abstract: The electrolyte nonrandom two-liquid model proposed by Chen and Evans provides a thermodynamically consistent framework for representation of the phase equilibria of mixed-solvent electrolyte systems Using only binary adjustable parameters, the model satisfactorily correlates the vapor-liquid equilibrium and liquid-liquid equilibrium of mixed-solvent electrolyte systems over the entire range of temperature and concentrations
364 citations
TL;DR: In this article, a new graphical method for targeting fresh water and wastewater minimisation is presented, which is based upon a new representation of water composite curves and the concept of water surplus.
357 citations
Authors
Showing all 269 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Moses O. Tadé | 79 | 554 | 21783 |
| Chau-Chyun Chen | 37 | 153 | 7005 |
| Paul M. Mathias | 25 | 78 | 2819 |
| Yuhua Song | 24 | 42 | 2274 |
| Mohammad K. Khoshkbarchi | 24 | 31 | 1435 |
| John Guiver | 23 | 47 | 2397 |
| Lawrence B. Evans | 21 | 52 | 3041 |
| Stephen E. Zitney | 20 | 68 | 1426 |
| Michael W. Bungo | 19 | 55 | 1316 |
| Hasan Orbey | 19 | 35 | 1263 |
| Vladimir Mahalec | 18 | 69 | 1319 |
| Guilian Liu | 18 | 80 | 940 |
| Thomas A. Badgwell | 17 | 35 | 6437 |
| Tim Bremner | 17 | 32 | 818 |
| Souvik Biswas | 16 | 38 | 1119 |