Blar i Institutt for teknisk kybernetikk på tidsskrift "Computers and Chemical Engineering"
Viser treff 1-17 av 17
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Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach
(Journal article; Peer reviewed, 2019)In the process industry, various types of degradation occur in processing plants, resulting in significant economic losses. Modeling of degradation is important because it provides quantitative insights for consideration ... -
Data-driven derivative-free trust-region model-based method for resource allocation problems
(Peer reviewed; Journal article, 2023)Allocating a limited available resource between a set of units is a problem that arises in several application areas. We propose an online derivative-free trust-region model-based method to tackle a fairly general version ... -
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes
(Journal article; Peer reviewed, 2018)Dynamic modeling is an important tool to gain better understanding of complex bioprocesses and to determine optimal operating conditions for process control. Currently, two modeling methodologies have been applied to ... -
Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control
(Peer reviewed; Journal article, 2022)Offshore discharges of produced water (PW) is heavily regulated by government authorities through flow-weighted mean concentration (FWMC). To cope with regulations, treatment facilities are commissioned to reduce the oil ... -
Global Optimisation of Multi-Plant Manganese Alloy Production
(Journal article; Peer reviewed, 2017)This paper studies the problem of multi-plant manganese alloy production. The problem consists of finding the optimal furnace feed of ores, fluxes, coke, and slag that yields output products which meet customer specifications, ... -
Global optimization of multiphase flow networks using spline surrogate models
(Journal article; Peer reviewed, 2016)A general modelling framework for optimization of multiphase flow networks with discrete decision variables is presented. The framework is expressed with the graph and special attention is given to the convexity properties ... -
Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation
(Peer reviewed; Journal article, 2020)Performance decay due to asset degradation is an important constraint in industrial production and therefore needs to be actively considered. This paper focuses on short-term scheduling for multiproduct batch processes ... -
Output feedback stochastic nonlinear model predictive control for batch processes
(Journal article; Peer reviewed, 2019)Batch processes play a vital role in the chemical industry, but are difficult to control due to highly nonlinear behaviour and unsteady state operation. Nonlinear model predictive control (NMPC) is therefore one of the few ... -
Petroleum production optimization - A static or dynamic problem?
(Journal article; Peer reviewed, 2018)This paper considers the upstream oil and gas domain, or more precisely the daily production optimization problem in which production engineers aim to utilize the production systems as efficiently as possible by for instance ... -
Plant-wide oscillation detection using multivariate empirical mode decomposition
(Journal article; Peer reviewed, 2018)Plant-wide oscillation detection is an important task in the maintenance of large-scale industrial control systems, owing to the fact that in an interactive multi-loop environment oscillation generated in one loop may ... -
Plantwide control of an oil production network
(Peer reviewed; Journal article, 2020)In this paper, we consider Real-Time Optimization (RTO) and control of an oil production system. We follow a systematic plantwide control procedure. The process consists of two gas-lift oil wells connected to a pipeline-riser ... -
A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application
(Peer reviewed; Journal article, 2023)Due to the lack or high costs of measurement devices to monitor and control metabolites in microbial cultivation processes, state estimators are often required. These estimators depend on available on-line measurements and ... -
Reinforcement Learning for Batch Bioprocess Optimization
(Peer reviewed; Journal article, 2020)Bioprocesses have received a lot of attention to produce clean and sustainable alternatives to fossil-based materials. However, they are generally difficult to optimize due to their unsteady-state operation modes and ... -
A rolling horizon approach for scheduling of multiproduct batch production and maintenance using generalized disjunctive programming models
(Peer reviewed; Journal article, 2021)This paper considers joint production and maintenance scheduling of a multiproduct batch chemical manufacturing plant. A Generalized Disjunctive Programming-based formulation is proposed for the scheduling problem, integrating ... -
Run-To-Run control of the Czochralski process
(Journal article; Peer reviewed, 2017)Commercially, the Czochralski process plays a key role in production of monocrystalline silicon for semiconductor and solar cell applications. However, it is a highly complex batch process which requires careful control ... -
Stochastic data-driven model predictive control using gaussian processes
(Peer reviewed; Journal article, 2020)Nonlinear model predictive control (NMPC) is one of the few control methods that can handle multivariable nonlinear control systems with constraints. Gaussian processes (GPs) present a powerful tool to identify the required ... -
A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation
(Peer reviewed; Journal article, 2022)Machine Learning (ML) has demonstrated its immense contribution to reservoir engineering, particularly reservoir simulation. The coupling of ML and metaheuristic algorithms illustrates huge potential for application in ...