Search

Your search keyword '"Bhattacharyya, Debangsu"' showing total 352 results
Start Over Author "Bhattacharyya, Debangsu" Publication Year Range Last 50 years
352 results on '"Bhattacharyya, Debangsu"'

1. Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements

Author

Wang, Jialu, Peng, Zedong, Hughes, Ryan, Bhattacharyya, Debangsu, Neira, David E. Bernal, and Dowling, Alexander W.

Subjects
Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control, Statistics - Applications, 90C25, 90C11, 90C30, 90C90, 62K05
Abstract

Model-based design of experiments (MBDoE) is a powerful framework for selecting and calibrating science-based mathematical models from data. This work extends popular MBDoE workflows by proposing a convex mixed integer (non)linear programming (MINLP) problem to optimize the selection of measurements. The solver MindtPy is modified to support calculating the D-optimality objective and its gradient via an external package, \texttt{SciPy}, using the grey-box module in Pyomo. The new approach is demonstrated in two case studies: estimating highly correlated kinetics from a batch reactor and estimating transport parameters in a large-scale rotary packed bed for CO$_2$ capture. Both case studies show how examining the Pareto-optimal trade-offs between information content measured by A- and D-optimality versus measurement budget offers practical guidance for selecting measurements for scientific experiments.

Published
2024

11. The IDAES process modeling framework and model library—Flexibility for process simulation and optimization

Author

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, and Miller, David C

Subjects
Information and Computing Sciences, Manufacturing Engineering, Engineering, Affordable and Clean Energy
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.

Published
2021

12. Isotherm, Kinetic, Process Modeling, and Techno-Economic Analysis of a Diamine-Appended Metal–Organic Framework for CO2 Capture Using Fixed Bed Contactors

Author

Hughes, Ryan, Kotamreddy, Goutham, Ostace, Anca, Bhattacharyya, Debangsu, Siegelman, Rebecca L, Parker, Surya T, Didas, Stephanie A, Long, Jeffrey R, Omell, Benjamin, and Matuszewski, Michael

Subjects
Chemical Engineering, Engineering, Climate Action, Physical Chemistry (incl. Structural), Resources Engineering and Extractive Metallurgy, Energy, Chemical engineering, Resources engineering and extractive metallurgy
Abstract

Diamine-appended metal-organic frameworks exhibiting step-shaped CO2 adsorption are exceptional candidates for energy-efficient carbon capture. However, there are few studies examining their performance in real-world capture scenarios, in part due to the challenge inherent in modeling their CO2 uptake behavior. Here, we develop a dual-site Sips model to fit experimental CO2 adsorption data for dmpn-Mg2(dobpdc) (dmpn = 2,2-dimethyl-1,3-diaminopropane; dobpdc4- = 4,4′-dioxidobiphenyl-3,3′-dicarboxylate) and develop a linear driving force model for the adsorption kinetics based on available experimental data. These models are used to develop a dynamic, fixed bed, nonisothermal contactor model using shaped particles of the material, which is validated with experimental breakthrough data. We also examine the effects of the high heat of adsorption of the material on CO2 uptake performance and find that heat removal is essential to maximize capture performance. We finally investigate "basic"(no bed cooling during adsorption) and "modified"(bed cooling during adsorption) temperature swing adsorption (TSA) processes using dmpn-Mg2(dobpdc), and their process economics are compared to a state-of-the-art monoethanolamine (MEA) capture system with and without heat recovery. In the absence of heat recovery, the adsorbent systems are more costly than established technology. However, with 85% heat recovery, both adsorbent-based TSA processes are projected to cost less than the MEA system. This work highlights that thermal management is vital for implementation of dmpn-Mg2(dobpdc) as a viable CO2 capture technology. Investigation of other contactor technologies that can provide unique ways to manage system heat represent promising future areas of study.

Published
2021

34. Optimization of a Natural Gas Power Plant with Membrane and Solid Sorbent Carbon Capture Systems

Author

Soepyan, Frits Byron, primary, Habib, Mahpara, additional, Zhang, Zhien, additional, Nemetz, Leo R., additional, Haque, Md Emdadul, additional, Esquino, Aaron M., additional, Rivero, Joanna R., additional, Bhattacharyya, Debangsu, additional, Lipscomb, G. Glenn, additional, Matuszewski, Michael S., additional, and Hornbostel, Katherine M., additional

Published
2023
Full Text
View/download PDF

35. Flexible Carbon Capture Using MOF Fixed Bed Adsorbers at an NGCC Plant

Author

Habib, Mahpara, primary, Esquino, Aaron M., additional, Hughes, Ryan, additional, Soepyan, Frits Byron, additional, Nemetz, Leo R., additional, Zhang, Zhien, additional, Haque, Md Emdadul, additional, Luebke, David R., additional, Lipscomb, G. Glenn, additional, Matuszewski, Michael S., additional, Bhattacharyya, Debangsu, additional, and Hornbostel, Katherine M., additional

Published
2023
Full Text
View/download PDF

47. Modeling and Techno-Economic Optimization of a Tetraamine-Appended Metal–Organic Framework for NGCC-Based CO2Capture Using Fixed Bed Contactors

Author

Hughes, Ryan, Yancy-Caballero, Daison, Zamarripa-Perez, Miguel, Omell, Benjamin, Matuszewski, Michael, and Bhattacharyya, Debangsu

Abstract

Amine-appended metal–organic frameworks (MOFs) of the class Mg2(dobpdc) have garnered attention recently as promising sorbents for CO2capture but present difficult modeling challenges, in part due to their unique step-shaped adsorption isotherms. In this work, modeling and optimization of Mg2(dobpdc)(3–4–3) (dobpdc4–= 4,4′-dioxidobiphenyl-3,3′dicarboxylate; 3–4–3 = N,N′bis(3-aminopropyl)-1,4-diaminobutane) is undertaken for CO2capture from a natural gas combined cycle (NGCC) flue gas source. A new isotherm model is developed using a weighted Langmuir isotherm model that is extended to predict multistep isotherm shapes and is fit to experimental data of Mg2(dobpdc)(3–4–3). The isotherm model is used to develop a dynamic, nonisothermal fixed bed contactor model that is validated with experimental breakthrough data. A temperature swing adsorption process using fixed bed contactors is developed to capture CO2from an ∼600 gross megawatt NGCC power plant. Using a cost model that closely follows the quality guidelines set forth by the National Energy Technology Laboratory, techno-economic optimization is performed using the Framework for Optimization, Quantification of Uncertainty, and Surrogates to minimize the cost of the capture system and subsequently compare it with state-of-the-art amine-based solvent systems. An uncertainty analysis of how the price of the MOF will affect the overall process economics is performed along with possible improvements due to heat recovery and high-temperature regeneration. The results show that the cost of capture is only ∼30% higher than that of solvent capture systems under realistic heat recovery assumptions. This work also leads to an investigation of other fixed bed cycle types and contactor technologies as areas of future work.

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results