ASCEND: an object-oriented computer environment for modeling and analysis: The modeling language

Piela, Peter; Epperly, T; Westerberg, Karl; Westerberg, Arthur W.

doi:10.1016/0098-1354(91)87006-u

Cited by 165 publications

(81 citation statements)

References 6 publications

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“…These constructs (along with a small number of others) underlie the ASCEND modeling language [14]. They are reported here in the abstract and apart from ASCEND and their presentation is informal; for a more formal treatment see [14]. ASCEND shares much in common with many of the object oriented languages and frame based systems that have emerged in recent years yet is distinguished from these by two features.…”

Section: Language Elements For Equation Modelsmentioning

confidence: 99%

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Variations in solids: A declarative treatment

Woodbury

1990

Computers & Graphics

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Section: Language Elements For Equation Modelsmentioning

confidence: 99%

Section: Language Elements For Equation Modelsmentioning

confidence: 99%

Variations in solids: A declarative treatment

Woodbury

1990

Computers & Graphics

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“…Several object-oriented approaches have been developed over the years, e.g., [3,13,35,38,46]. These approaches typically support both high-level modeling by composition and detailed component modeling using equations.…”

Section: Simulation Toolsmentioning

confidence: 99%

Prevention of Emergency Voltage Collapses in Electric Power Networks using Hybrid Predictive Control

Leirens

Negenborn

2009

Intelligent Infrastructures

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“…In some cases, it is possible to write and solve the complete set of equations by using an adequate modeling system (e.g. ASCEND (Piela et al, 1991) or gPROMS (Process Systems Enterprise, 2000)). Those modeling systems include databases of chemical and thermodynamic properties and robust numerical methods.…”

Section: Introductionmentioning

confidence: 99%

Large scale optimization of a sour water stripping plant using surrogate models

Quirante

2016

Computers & Chemical Engineering

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Please cite this article as: Quirante, Natalia., & Caballeroa, José A., Large scale optimization of a sour water stripping plant using surrogate models.Computers and Chemical Engineering http://dx.doi.org/10. 1016/j.compchemeng.2016.04.039 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Large scale optimization of a sour water stripping plant using surrogate models We present a case study of the optimization of a sour water stripping plant in which we simultaneously consider economics, heat integration and environmental impact using the ReCiPe indicator, which incorporates the recent advances made in Life Cycle Assessment (LCA).The optimization strategy guarantees the convergence to a local optimum inside the tolerance of the numerical noise.

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ASCEND: an object-oriented computer environment for modeling and analysis: The modeling language

Cited by 165 publications

References 6 publications

Variations in solids: A declarative treatment

Variations in solids: A declarative treatment

Prevention of Emergency Voltage Collapses in Electric Power Networks using Hybrid Predictive Control

Large scale optimization of a sour water stripping plant using surrogate models

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