Search Results - "Eason, John P"

A trust region filter method for glass box/black box optimization by Eason, John P., Biegler, Lorenz T.

“…Modern nonlinear programming solvers can be utilized to solve very large scale problems in chemical engineering. However, these methods require fully open…”
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Advanced trust region optimization strategies for glass box/black box models by Eason, John P., Biegler, Lorenz T.

“…We present an improved trust region filter (TRF) method for optimization of combined glass box/black box systems. Glass box systems refer to models that are…”
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Operational Optimization of Polymerization Reactors with Computational Fluid Dynamics and Embedded Molecular Weight Distribution Using the Iterative Surrogate Model Method by Kong, Jing, Eason, John P, Chen, Xi, Biegler, Lorenz T

“…The calculation of molecular weight distribution (MWD) in conjunction with a computational fluid dynamics (CFD) reactor model is computationally expensive as…”
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Dynamic optimization for grade transition processes using orthogonal collocation on molecular weight distribution by Ma, Yannan, Chen, Xi, Eason, John P., Biegler, Lorenz T.

“…To meet the demands of a competitive market, an industrial plant often produces several grades of polymer product through the same process in an economical…”
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Multistage nonlinear model predictive control for pumping treatment in hydraulic fracturing by Lin, Kuan‐Han, Eason, John P., Biegler, Lorenz T.

“…Hydraulic fracturing has gained increasing attention as it allows the constrained natural gas and crude oil to flow out of low‐permeability shale formations…”
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Shale gas pad development planning under price uncertainty by Li, Can, Eason, John P., Drouven, Markus G., Grossmann, Ignacio E.

“…In this article, we study shale gas pad development under natural gas price uncertainty. We optimize the sequence of operations, gas curtailment, and storage…”
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A multi-objective superstructure optimization approach to biofeedstocks-to-biofuels systems design by Eason, John P., Cremaschi, Selen

“…This paper describes a biofeedstock-to-biofuel superstructure (BBSS) and a multi-objective optimization scheme to suggest processing paths for a given…”
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Surrogate Equations of State for Equation-Oriented Optimization of Polymerization Processes by Eason, John P., Kang, Jiayuan, Chen, Xi, Biegler, Lorenz T.

“…In equation-oriented process optimization, thermodynamic properties are often challenging to model. Thermodynamic property models tend to be highly nonlinear…”
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Reduced model trust region methods for embedding complex simulations in optimization problems by Eason, John P., Biegler, Lorenz T.

“…As advanced simulation technologies mature, it is desirable to utilize their predictive power in process design and optimization. However, these models present…”
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A Smooth, Square Flash Formulation for Equation-Oriented Flowsheet Optimization by Burgard, Anthony P., Eason, John P., Eslick, John C., Ghouse, Jaffer H., Lee, Andrew, Biegler, Lorenz T., Miller, David C.

“…This work introduces a novel flash formulation to calculate vapor-liquid equilibria (VLE) based on a general cubic equation of state (cEOS). The approach…”
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Parallel cyclic reduction decomposition for dynamic optimization problems by Wan, Wei, Eason, John P., Nicholson, Bethany, Biegler, Lorenz T.

“…•Dynamic optimization strategies are developed for parallel architectures.•Classical cyclic reductions are modified and demonstrated on structured KKT…”
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Energy-efficient CO 2 liquefaction for oxy-combustion power plant with ASU-CPU integration enhanced by cascaded sub-ambient energy utilization and waste heat recovery by Zhu, Dehao, Eason, John P., Biegler, Lorenz T.

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Development of a first-principles hybrid boiler model for oxy-combustion power generation system by Ma, Jinliang, Eason, John P., Dowling, Alexander W., Biegler, Lorenz T., Miller, David C.

“…The design of an oxy-combustion system for CO sub(2) capture involves the integration of multiple devices including air separation unit, coal-fired boiler,…”
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A Trust Region Filter Algorithm for Surrogate-based Optimization by Eason, John P

“…Modern nonlinear programming solvers can efficiently handle very large scale optimization problems when accurate derivative information is available. However,…”
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Targeted Defragmentation of a Production Optical Network by Balasubramanian, Srivatsan, Dangui, Vinayak, Eason, John P., Singh Ahuja, Satyajeet

“…We present a ILP framework that can provide the defragmentation plan for a targeted portion of a production optical network, unblocking capacity through remote…”
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