Future Directions of Production Planning and Optimized Energy- and Process Industries

Livrables

To make results known a video with important results is prepared and placed at YouTube It shall be easy to understand for also nonexperts

A web-based toolbox

Here we are placing a basic set of components and a face plate where models can be configured from a library of components This includes both component models like pumps digester etc and different functions like diagnostics structure for decision support and model based control and similar

Peer-reviewed publications based on FUDIPO results

This is not a separate report but a list of abstracts of the several journal and conference papers produced under FUDIPO At least two papers should be presented every year These are placed at the website as well or links to them depending on arrangements with the conference and journal publishers

Project website with content for public consumption

A project web-site is set up already when the project starts with basic structure and information. This is then complemented continuously. The functionality that should be implemented are presented in this deliverable.

FUDIPO technology evaluation and road-map

This report summarizes the experience gained within FUDIPO and proposes how to utilise the developed tools and physical models in the next stage postFUDIPO with demonstration in the five applications at a higher TRL level

Publications

AI Overview - Methods and Structures

Auteurs: Erik Dahlquist, Jan Skvaril, Konstantinos Kyprianidis
Publié dans: AI and Learning Systems - Industrial Applications and Future Directions, 2021, ISBN 978-1-78985-878-5
Éditeur: IntechOpen

Operationalizing heterogeneous data-driven process models for various industrial sectors through microservice-oriented cloud-based architecture

Auteurs: Valdemar, Lipenko, Sebastian, Nigl, Andreas, Roither-Voigt, David, Zelenay
Publié dans: 2021
Éditeur: IntechOpen

Machine Learning Models for Industrial Applications

Auteurs: Enislay Ramentol, Tomas Olsson, Mats Tallfors and Shaibal Barua
Publié dans: AI and learning systems industrial applications and future directions, 2021
Éditeur: IntechOpen

An Approach for Feedforward Model Predictive Control of Continuous Pulp Digesters.

Auteurs: IV Rahman, M., Avelin, A., & Kyprianidis, K.
Publié dans: Processes, 2019, ISSN 2227-9717
Éditeur: Processes
DOI: 10.3390/pr7090602

Applications of near-infrared spectroscopy (NIRS) in biomass energy conversion processes: A review

Auteurs: Jan Skvaril, Konstantinos G. Kyprianidis, Erik Dahlquist
Publié dans: Applied Spectroscopy Reviews, Numéro 52/8, 2017, Page(s) 675-728, ISSN 0570-4928
Éditeur: Marcel Dekker Inc.
DOI: 10.1080/05704928.2017.1289471

Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization

Auteurs: Moksadur Rahman, Valentina Zaccaria, Xin Zhao, Konstantinos Kyprianidis
Publié dans: Processes, Numéro 6/11, 2018, Page(s) 216, ISSN 2227-9717
Éditeur: Processes
DOI: 10.3390/pr6110216

A Machine Learning Approach for Biomass Characterization

Auteurs: Mobyen Uddin Ahmed, Peter Andersson, Tim Andersson, Elena Tomas Aparicio, Hampus Baaz, Shaibal Barua, Albert Bergström, Daniel Bengtsson, Daniele Orisio, Jan Skvaril, Jesús Zambrano, J.
Publié dans: Energy Procedia, Numéro 158, 2019, Page(s) 1279-1287, ISSN 1876-6102
Éditeur: Energy Procedia

Towards On-line Fault Detection and Diagnostics in District Heating Systems

Auteurs: Nathan Zimmerman, Erik Dahlquist, Konstantinos Kyprianidis
Publié dans: Energy Procedia, Numéro 105, 2017, Page(s) 1960-1966, ISSN 1876-6102
Éditeur: ScienceDirect
DOI: 10.1016/j.egypro.2017.03.567

A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines

Auteurs: Tomas Olsson, Enislay Ramentol, Moksadur Rahman, Mark Oostveen, Konstantinos Kyprianidis
Publié dans: Energy and AI, 2021, Page(s) 100064, ISSN 2666-5468
Éditeur: Energy and AI
DOI: 10.1016/j.egyai.2021.100064

An Approach For Feedforward Model Predictive Control ForPulp and Paper Applications: Challenges And The Way Forward

Auteurs: Rahman, M., Avelin, A., Kyprianidis, K., & Dahlquist, E.
Publié dans: Proceedings of the 10th Annual TAPPI Conference on Paper Industry (PaperCon 2017, 2018
Éditeur: PaperCon 2018

Complementing existing CHP plants with pyrolysis and gasification to produce liquid biofuels

Auteurs: Elena Tomas-Aparicio, Erik Dahlquist, Awais Salman, Selman Ahmeddin and Hussein Abdirizak Mohamed
Publié dans: SIMS and Linköping University Electronic Press, 2020, Page(s) 85-90, ISBN 978-91-7929-731-2
Éditeur: Linköping University Electronic Press

Model based Control and Diagnostics strategies for a Continuous Pulp Digester.

Auteurs: Rahman, M., Avelin, A., Kyprianidis, K., Jansson, J., & Dahlquist, E.
Publié dans: Proceedings of the 11th Annual TAPPI Conference on Paper Industry (PaperCon 2018), 2018
Éditeur: PaperCon

Sensor fault detection with Bayesian networks

Auteurs: Esin Iplik, Ioanna Aslanidou,Konstantinos Kyprianidis
Publié dans: The 61st SIMS Conference on Simulation and Modelling SIMS 2020, 2020
Éditeur: SIMS

Fast determination of Fuel Properties in Solid Biofuel Mixtures by Near Infrared Spectroscopy

Auteurs: Jan Skvaril, Konstantinos Kyprianidis, Anders Avelin, Monica Odlare, Erik Dahlquist
Publié dans: The 8th International Conference on Applied Energy – ICAE2016., Numéro 105, 2017, Page(s) 1309 – 1317
Éditeur: Energy Procedia

Simulation study for comparison of control structures for BFB biomass boiler

Auteurs: Milan Zlatkovikj, Valentina Zaccaria, Ioanna Aslanidou and Konstantinos Kyprianidis
Publié dans: 61st SIMS Virtual Conference on Simulation and Modelling SIMS 2020, Virtual Conference,, Numéro 61st SIMS Virtual Conference on Simulation and Modelling SIMS 2020, Virtual Conference,, 2020, Page(s) 107-115, ISBN 978-91-7929-731-2
Éditeur: SIMS and Linköping University Electronic Press

Towards an Integrated Approach for Micro Gas Turbine Fleet Monitoring, Control, and Diagnostics

Auteurs: Ioanna Aslanidou, Valentina Zaccaria, Moksadur Rahman, Mark Oostven, Tomas Olsson, Konstantinos Kyprianidis
Publié dans: Global Power and Propulsion Society (GPPS) Forum 18, 2018
Éditeur: GPPS

A Data-Driven Approach for the Prediction of Subcooled Boiling Heat Transfer

Auteurs: Jerol Soibam, Rebei Bel Fdhila, Ioanna Aslanidou and Konstantinos Kyprianidis
Publié dans: Sub-Cooled Boiling Heat Transfer with Data-driven Method. 61st SIMS Conference on Simulation and Modelling SIMS 2020, 2020, ISBN 978-91-7929-731-2
Éditeur: SIMS

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