ORCID Profile
0000-0002-7334-2277
Current Organisation
National Energy Technology Laboratory
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Publisher: Elsevier
Date: 2018
Publisher: Elsevier BV
Date: 2011
Publisher: Wiley
Date: 03-11-2022
DOI: 10.1002/AIC.17935
Abstract: Accurate thermodynamic properties of electrolyte systems are critical for the design and operation of many chemical processes. A comprehensive description of the thermodynamic framework for multielectrolyte mixed solvent systems is presented, where the parameter structure of the symmetric electrolyte‐non‐random two liquid (e‐NRTL) model is reformulated and a thermodynamically consistent and analytically derived formulation for the excess enthalpy is developed from the e‐NRTL model. The refined parameter structure of the e‐NRTL model avoids numerical singularities of the analytical formulation for the excess enthalpy in the absence of ionic species and extends the derived excess enthalpy formulation to non‐electrolyte systems. The thermodynamic framework is demonstrated for the MEA‐H 2 O‐CO 2 case study using experimental data on thermodynamic quantities for the binary MEA‐H 2 O system and the ternary MEA‐H 2 O‐CO 2 system. The model is implemented in Pyomo and will be available for release in the Institute for the Design of Advanced Energy Systems (IDAES) computational platform.
Publisher: Wiley
Date: 13-05-2021
DOI: 10.1002/AMP2.10095
Abstract: Energy systems and manufacturing processes of the 21st century are becoming increasingly dynamic and interconnected, which require new capabilities to effectively model and optimize their design and operations. Such next generation computational tools must leverage state‐of‐the‐art techniques in optimization and be able to rapidly incorporate new advances. To address these requirements, we have developed the Institute for the Design of Advanced Energy Systems (IDAES) Integrated Platform, which builds on the strengths of both process simulators (model libraries) and algebraic modeling languages (advanced solvers). This paper specifically presents the IDAES Core Modeling Framework (IDAES‐CMF), along with a case study demonstrating the application of the framework to solve process optimization problems. Capabilities provided by this framework include a flexible, modifiable, open‐source platform for optimization of process flowsheets utilizing state‐of‐the‐art solvers and solution techniques, fully open and extensible libraries of dynamic unit operations models and thermophysical property models, and integrated support for superstructure‐based conceptual design and optimization under uncertainty.
Publisher: Elsevier
Date: 2018
Location: United States of America
Location: United States of America
No related grants have been discovered for John Eslick.