Ankur Kumar
Ankur Kumar
Development Specialist at Linde
Verified email at - Homepage
Cited by
Cited by
Optimal Demand Response Scheduling of an Industrial Air Separation Unit Using Data-Driven Dynamic Models
MB Calvin Tsay, Ankur Kumar, Jesus Flores
Computers & Chemical Engineering, 2019
Smart manufacturing approach for efficient operation of industrial steam-methane reformers
A Kumar, M Baldea, TF Edgar, OA Ezekoye
Industrial & Engineering Chemistry Research 54 (16), 4360-4370, 2015
Deploying Kepler workflows as services on a cloud infrastructure for smart manufacturing
P Korambath, J Wang, A Kumar, L Hochstein, B Schott, R Graybill, ...
Procedia Computer Science 29, 2254-2259, 2014
A Physics-based Model for Industrial Steam-Methane Reformer Optimization with Non-uniform Temperature Field
A Kumar, M Baldea, TF Edgar
Computers & Chemical Engineering, 2017
Real-time optimization of an industrial steam-methane reformer under distributed sensing
A Kumar, M Baldea, TF Edgar
Control Engineering Practice 54 (September 2016), 140–153, 2016
A Smart Manufacturing Use Case: Furnace Temperature Balancing in Steam Methane Reforming Process via Kepler Workflows
P Korambath, J Wang, A Kumar, J Davis, R Graybill, B Schott, M Baldea
Procedia Computer Science 80, 680-689, 2016
Multi-resolution Model of an Industrial Hydrogen Plant for Plantwide Operational Optimization with Non-uniform Steam-Methane Reformer Temperature Field
A Kumar, TF Edgar, M Baldea
Computers & Chemical Engineering, 2017
Data-driven process monitoring and fault analysis for Reformer Units in Hydrogen plants: Industrial application and perspectives
A Kumar, A Bhattacharya, J Flores-Cerrillo
Computers & Chemical Engineering, 2020
Data-Driven Models and Algorithms for Demand Response Scheduling of Air Separation Units
C Tsay, J Shi, A Kumar, J Flores-Cerrillo
Computer Aided Chemical Engineering 44, 1273-1278, 2018
On optimal sensing and actuation design for an industrial scale steam methane reformer furnace
A Kumar, M Baldea, TF Edgar
AIChE Journal 62 (9), 3225-3237, 2016
Integrating Steady-State and Dynamic Models for Multi-Scale Flowsheet Optimization: A Steam-Methane Reforming Case Study
C Tsay, A Kumar, M Baldea, TF Edgar
9th International Conference on Foundations of Computer-Aided Process Design …, 2019
Application of smart manufacturing methods to steam methane reformers
A Kumar, A Bhattacharya, M Baldea, T Edgar
Smart Manufacturing Applications and Case Studies, 2020
Feature Based Fault Detection for Pressure Swing Adsorption Processes
J Lee, A Kumar, J Flores-Cerrillo, J Wang, P He
IFAC 53 (2), 11301-11306, 2020
Model based operation of industrial steam methane reformers using large scale sensor data
A Kumar
Feature-based statistical process monitoring for pressure swing adsorption processes
J Lee, A Kumar, J Flores-Cerrillo, J Wang, P He
Frontiers in Chemical Engineering, 2022
Machine Learning in Python for Process Systems Engineering
A Kumar, J Flores-Cerrillo, 2022
Industrial Scale Demonstration of Smart Manufacturing, Achieving Transformational Energy Productivity Gains
TFEF Edgar, M Baldea, O Ezekoye, H Ganesh, A Kumar, D Wanegar, ...
The University of Texas at Austin, 2018
Optimal Demand Response Operation of an Industrial Air Separation Unit Using Data-Driven, Scheduling-Relevant Dynamic Models
C Tsay, M Baldea, J Shi, A Kumar, J Flores-Cerrillo
AIChE Annual Meeting 2018, 2018
Multi-Scale Modeling and Design Optimization of an Industrial Hydrogen Production Plant with High-Resolution PSA and Steam-Methane Reformer Models
C Tsay, A Kumar, T Edgar, M Baldea
AIChE Annual Meeting 2018, 2018
Optimal Startup of Hydrogen Plant Using Data-Driven Model
Abhinav Garg, Prashant Mhaskar, Ankur Kumar, Gangshi Hu, Jesus Flores-Cerrillo
AIChE Annual Meeting 2017, 2017
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