Search Results - "Siirola, John D."

A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty by Knueven, Bernard, Mildebrath, David, Muir, Christopher, Siirola, John D., Watson, Jean-Paul, Woodruff, David L.

“…Practical solution of stochastic programming problems generally requires the use of parallel computing resources. Here, we describe the open source package…”
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Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems by Li, Can, Conejo, Antonio J., Liu, Peng, Omell, Benjamin P., Siirola, John D., Grossmann, Ignacio E.

“…•Mixed-integer programming for generation and transmission expansion planning.•Integration of planning with hourly operating decisions such as unit…”
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pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations by Nicholson, Bethany, Siirola, John D., Watson, Jean-Paul, Zavala, Victor M., Biegler, Lorenz T.

“…We describe pyomo.dae, an open source Python-based modeling framework that enables high-level abstract specification of optimization problems with differential…”
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Electric power infrastructure planning under uncertainty: stochastic dual dynamic integer programming (SDDiP) and parallelization scheme by Lara, Cristiana L., Siirola, John D., Grossmann, Ignacio E.

“…We address the long-term planning of electric power infrastructure under uncertainty. We propose a Multistage Stochastic Mixed-integer Programming formulation…”
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Pyomo.GDP: an ecosystem for logic based modeling and optimization development by Chen, Qi, Johnson, Emma S., Bernal, David E., Valentin, Romeo, Kale, Sunjeev, Bates, Johnny, Siirola, John D., Grossmann, Ignacio E.

“…We present three core principles for engineering-oriented integrated modeling and optimization tool sets—intuitive modeling contexts, systematic computer-aided…”
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Testing Contamination Source Identification Methods for Water Distribution Networks by Seth, Arpan, Klise, Katherine A, Siirola, John D, Haxton, Terranna, Laird, Carl D

“…AbstractIn the event of contamination in a water distribution network (WDN), source identification (SI) methods that analyze sensor data can be used to…”
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The IDAES process modeling framework and model library—Flexibility for process simulation and optimization by Lee, Andrew, Ghouse, Jaffer H., Eslick, John C., Laird, Carl D., Siirola, John D., Zamarripa, Miguel A., Gunter, Dan, Shinn, John H., Dowling, Alexander W., Bhattacharyya, Debangsu, Biegler, Lorenz T., Burgard, Anthony P., Miller, David C.

“…Energy systems and manufacturing processes of the 21st century are becoming increasingly dynamic and interconnected, which require new capabilities to…”
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Block-oriented modeling of superstructure optimization problems by Friedman, Zev, Ingalls, Jack, Siirola, John D., Watson, Jean-Paul

“…We present a novel software framework for modeling large-scale engineered systems as mathematical optimization problems. A key motivating feature in such…”
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Next Generation Multi-Scale Process Systems Engineering Framework by Miller, David C., Siirola, John D., Agarwal, Deb, Burgard, Anthony P., Lee, Andrew, Eslick, John C., Nicholson, Bethany, Laird, Carl, Biegler, Lorenz T., Bhattacharyya, Debangsu, Sahinidis, Nikolaos V., Grossmann, Ignacio E., Gounaris, Chrysanthos E., Gunter, Dan

“…The IDAES PSE framework represents a new approach for the design and optimization of innovative steady state and dynamic processes by integrating an…”
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A multi-paradigm modeling framework for energy systems simulation and analysis by Hodge, Bri-Mathias S., Huang, Shisheng, Siirola, John D., Pekny, Joseph F., Reklaitis, Gintaras V.

“…The modern world energy system is highly complex and interconnected and the effects of energy policies may have unintended consequences. Modeling and analysis…”
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Pyomo.GDP: Disjunctive Models in Python by Chen, Qi, Johnson, Emma S., Siirola, John D., Grossmann, Ignacio E.

“…In this work, we describe new capabilities for the Pyomo.GDP modeling environment, moving beyond classical reformulation approaches to include non-standard…”
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Solution Approaches to Stochastic Programming Problems under Endogenous and/or Exogenous Uncertainties by Cremaschi, Selen, Siirola, John D.

“…Optimization problems under uncertainty involve making decisions without the full knowledge of the impact the decisions will have and before all the facts…”
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A Flexible Framework and Model Library for Process Simulation, Optimization and Control by Lee, Andrew, Ghouse, Jaffer H., Chen, Qi, Eslick, John C., Siirola, John D., Grossman, Ignacio E., Miller, David C.

“…A new framework for optimizing process flowsheets has been developed, which enables a greater degree of flexibility and automation to facilitate the…”
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Modeling and Optimization of Superstructure-based Stochastic Programs for Risk-aware Decision Support by Siirola, John D., Watson, Jean-Paul

“…This manuscript presents a unified software framework for modeling and optimizing large-scale engineered systems with uncertainty. We propose a Python-based…”
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Toward agent-based process systems engineering: proposed framework and application to non-convex optimization by Siirola, John D, Hauan, Steinar, Westerberg, Arthur W

“…Agent-based computer systems are surprisingly effective at solving complex problems. Built by combining autonomous computer routines, or agents, with…”
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On representative day selection for capacity expansion planning of power systems under extreme operating conditions by Li, Can, Conejo, Antonio J., Siirola, John D., Grossmann, Ignacio E.

“…Capacity expansion planning (CEP) of power systems determines the optimal future generation mix and/or transmission lines. Due to the increasing penetration of…”
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RPI: A remote process interface library for distributed clusters by Siirola, John D., Hauan, Steinar

“…A fundamental issue in working with and designing software applications for distributed computer clusters is selecting the mechanism for providing…”
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Multiscale simulation of integrated energy system and electricity market interactions by Gao, Xian, Knueven, Bernard, Siirola, John D., Miller, David C., Dowling, Alexander W.

“…Accelerating the deep decarbonization of the world’s electric grids requires the coordination of complex energy systems and infrastructures across timescales…”
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Applications of the Dulmage–Mendelsohn decomposition for debugging nonlinear optimization problems by Parker, Robert B., Nicholson, Bethany L., Siirola, John D., Biegler, Lorenz T.

“…Nonlinear modeling and optimization is a valuable tool for aiding decisions by engineering practitioners, but programming an optimization problem based on a…”
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Pyosyn: A new framework for conceptual design modeling and optimization by Chen, Qi, Liu, Yunshan, Seastream, Grant, Siirola, John D., Grossmann, Ignacio E.

“…•Pyosyn Graph (PSG): superstructure representation supports nested units to reduce complexity.•Structure and logic of single-choice units simplify modeling of…”
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