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Big data analytics in chemical engineering
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 …
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 …
facilities. Typically, these aspects are treated as independent sub-problems. Maintaining …
The impact of digitalization on the future of control and operations
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 …
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 …
(57) ABSTRACT A building HVAC system includes a waterside system and an airside …
Benchmark temperature microcontroller for process dynamics and control
Standard benchmarks are important repositories to establish comparisons between
competing model and control methods, especially when a new method is proposed. This …
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 …
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 …
different layers of a company and the consideration of uncertain parameters in view of …
Integrated process design, scheduling, and control using multiparametric programming
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 …
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
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 …
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?
Historically, process control, process scheduling, and process operational functions (such as
safety and maintenance) have been considered independently, in isolation, and/or in a …
safety and maintenance) have been considered independently, in isolation, and/or in a …