Big data analytics in chemical engineering

L Chiang, B Lu, I Castillo - Annual review of chemical and …, 2017 - annualreviews.org
Big data analytics is the journey to turn data into insights for more informed business and
operational decisions. As the chemical engineering community is collecting more data …

New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability

M Rafiei, LA Ricardez-Sandoval - Computers & Chemical Engineering, 2020 - Elsevier
Enterprise-wide sustainability involves aspects from molecular-scale design to macroscale
facilities. Typically, these aspects are treated as independent sub-problems. Maintaining …

The impact of digitalization on the future of control and operations

AJ Isaksson, I Harjunkoski, G Sand - Computers & Chemical Engineering, 2018 - Elsevier
The notion of Internet of Things (IoT), as well as related topics such as Cyber-Physical
Systems, Industrie 4.0 and Smart Manufacturing are currently attracting a lot of attention …

HVAC controller with integrated airside and waterside cost optimization

MJ Risbeck, RD Turney, CT Maravelias - US Patent 10,761,547, 2020 - Google Patents
Primary Examiner Santosh R Poudel (74) Attorney, Agent, or Firm—Foley & Lardner LLP
(57) ABSTRACT A building HVAC system includes a waterside system and an airside …

Benchmark temperature microcontroller for process dynamics and control

J Park, RA Martin, JD Kelly, JD Hedengren - Computers & Chemical …, 2020 - Elsevier
Standard benchmarks are important repositories to establish comparisons between
competing model and control methods, especially when a new method is proposed. This …

[HTML][HTML] Identification of flow regime in a bubble column reactor with a combination of optical probe data and machine learning technique

ON Manjrekar, MP Dudukovic - Chemical engineering science: X, 2019 - Elsevier
In the present work, a data-driven model for identification of flow regime in a bubble column
is developed by combining data from optical probe technique and machine learning. Optical …

Integration of scheduling and control under uncertainties: Review and challenges

LS Dias, MG Ierapetritou - Chemical Engineering Research and Design, 2016 - Elsevier
In order to achieve optimal operational conditions, the integration of decision-making across
different layers of a company and the consideration of uncertain parameters in view of …

Integrated process design, scheduling, and control using multiparametric programming

B Burnak, NA Diangelakis, J Katz… - Computers & Chemical …, 2019 - Elsevier
A unified theory and framework for the integration of process design, control, and scheduling
based on a single high fidelity model is presented. The framework features (i) a mixed …

Model-based integration of control and operations: Overview, challenges, advances, and opportunities

Y Chu, F You - Computers & Chemical Engineering, 2015 - Elsevier
We provide a systematic review of current progress in integrated control and operations.
Recently, an increasing number of integrated methods have been presented in the literature …

The quest towards the integration of process control, process operations, and process operability–Industrial need or academic curiosity?

EN Pistikopoulos, SS Akundi, D Kenefake… - Computers & Chemical …, 2024 - Elsevier
Historically, process control, process scheduling, and process operational functions (such as
safety and maintenance) have been considered independently, in isolation, and/or in a …