Browsing NTNU Open by Author "Jäschke, Johannes"
Now showing items 21-40 of 80
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Economic model predictive control in a large-scale green hydrogen plant
Grov, Hanne Marie (Master thesis, 2023)De siste årene har det vært en betydelig økning i utnyttelsen av grønn hydrogen som en alternativ energiløsning, grunnet dets høye fleksibilitet og minimale miljøpåvirkning. Ifølge Hydrogen Council har det blitt publisert ... -
Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP
Suwartadi, Eka; Jäschke, Johannes (Journal article; Peer reviewed, 2018)We present a fast sensitivity-based nonlinear model predictive control (NMPC) algorithm, that can handle non-unique multipliers in the discretized dynamic optimization problem. Non-unique multipliers may arise, for example ... -
Finding Self-optimizing Control Variables Using Process Data
Simonsen, Rannei Solbak (Master thesis, 2014)In this project we have studied a newly developed way to find self-optimizing variables. The method studied in this thesis uses data measurements, y, to fit a quadratic cost function. By using parameters found in the cost ... -
From-scratch development and improvement of a problem-based learning course: Nonlinear Model Predictive Control for Chemical and Biochemical Processes
Matias, José O.A.; Jäschke, Johannes (Journal article; Peer reviewed, 2022) -
Health-Aware Control of a Subsea Compression System
Gjøby, Julie Marie (Master thesis, 2018)Subsea processing technology is enabling production from oil and gas fields with larger water depths, longer tie-back distances and harsher climate conditions. Although moving production and processing facilities to the ... -
Heat exchanger network self-optimising control: Application to the crude unit at Mongstad refinery
Leruth, Alexandre (Master thesis, 2012)This work applies the concept of self-optimising control for the operation of the given network. The steady-state performances of the self-optimising variables derived by Jäschke (Jäschke, 2012) are assessed and two main ... -
Implementation and evaluation of a new solution approach for semidefinite programming
Lund, Marlene Louise (Master thesis, 2017)The main objective of this thesis was to perform initial studies on a new approach for solving semidefinite programs. In this solution method, a nonsmooth representation of the optimality conditions of semidefinite programs ... -
Implementation and Performance Analysis of Interior-Point Methods for Solving Mathematical Programs with Complementarity Constraints
Fossøy, Ann Iren (Master thesis, 2023)Denne avhandlinga tar for seg implementering og evaluering av løysningsmetodar for matematiske program med komplementaritetsavgrensingar, også kjent som MPCC. Desse løysningsmetodane baserer seg på ein bestemt ... -
Implementation of Extremum Seeking Control in an Experimental Lab-Rig
Frida Bakken Myrvang (Master thesis, 2021)I denne oppgaven implementeres Extremum seeking control (ESC) i en eksperimentell lab-rig som representerer et gassløftnettverk med tre brønner. ESC er en fullstendig datadrevet optimeringsmetode, der gradientene til ... -
Implementation of Real Time Optimization in an Experimental Lab Rig via Output Modifier Adaptation using Gaussian Processes
Lia, Maren Sofie (Master thesis, 2022)I denne oppgaven blir Real Time Optimization (RTO) via Output Modifier Adaptation med Gaussian Processes (MAy-GP) implementert i en eksperimentell lab rigg. Riggen representerer et nettverk bestående av tre oljebrønner med ... -
Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes (Journal article; Peer reviewed, 2018)This letter proposes a computationally efficient algorithm for robust multistage scenario model predictive control (MPC). In multistage scenario MPC, the evolution of uncertainty in the prediction horizon is represented ... -
Inculding Prices in Control Structure Design - Applied on a Subsea Separation System
Johansen, Åge (Master thesis, 2016)The selection of controlled variables and measurements is an important aspect of the control structure design. Using the self-optimizing control framework makes it possible to select controlled variables as combinations ... -
Invariants for Optimal Operation of Process Systems
Jäschke, Johannes (Doktoravhandlinger ved NTNU, 1503-8181; 2011:180, Doctoral thesis, 2011)State of the art strategies to achieve optimal process operation typically employ a hierarchicalcontrol structure, where different tasks are designated to different control layers.In the simplest case there is an optimization ... -
Machine Learning and First Principles Modeling Applied to Multiphase Flow Estimation
Bikmukhametov, Timur (Doctoral theses at NTNU;2020:407, Doctoral thesis, 2020)Accurate knowledge of multiphase flowrates produced by each well in an oil and gas production system is important for performing production optimization, flow assurance and reservoir management. Among the alternatives, ... -
Model predictive control of an LNG liquefaction process using Jmodelica.org
Haugberg, Oliver Sale (Master thesis, 2018)In this thesis Model Predictive Control (MPC) theory has been used to develop a controller for a Liquefied Natural Gas (LNG) liquefaction process using the Jmodelica.org framework. Jmodelica.org is an open source platform ... -
Model Predictive Control of bioreactors based on the Escherichia coli core metabolic network model
Fredriksen, Marius (Master thesis, 2023)Optimal kontroll av prosesser er viktig for å sikre effektiv og trygg operasjon av prosessanlegg. Den økende populariteten og bruken av Dynamisk Fluks Balanse Analyse (dFBA) modeller har gjort det mulig å ta i bruk mer ... -
Modeling and control of an inline deoiling hydrocyclone *
Das, Tamal; Jäschke, Johannes (Journal article; Peer reviewed, 2018)In subsea oil and gas production and processing, automatic control of operation is of significant importance. Typically, processing in subsea fields involves separation of hydrocarbons from water and rejection of water in ... -
Modeling and Optimization of a Subsea Oil-Water Separation System
Tyvold, Preben Fürst (Master thesis, 2015)Compact oil-water separators are essential for treatment of the production streams of oil fields at deep waters. The aim of this work has been to develop a model for a compact oil-water separation system for optimization ... -
Modeling, estimation and control for optimal operation of separation processes in oil and gas industry
Das, Tamal (Doctoral theses at NTNU;2018:234, Doctoral thesis, 2018)The primary focus of this thesis is to develop models for oil and gas separation processes. These models form the basis for estimation of unmeasured variables and the control of important process variables. The secondary ... -
Modelling a Multiphase Subsea Separation System
Bishop, Torstein Alexander (Master thesis, 2016)With the oil and gas industry changing rapidly and new oil-fields becoming less accessible, the demand for new technology and innovative thinking is increasing. With these challenges in mind a possible solution could be ...