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

Risultati finali

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

Pubblicazioni

AI Overview - Methods and Structures

Autori: Erik Dahlquist, Jan Skvaril, Konstantinos Kyprianidis
Pubblicato in: AI and Learning Systems - Industrial Applications and Future Directions, 2021, ISBN 978-1-78985-878-5
Editore: IntechOpen

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

Autori: Valdemar, Lipenko, Sebastian, Nigl, Andreas, Roither-Voigt, David, Zelenay
Pubblicato in: 2021
Editore: IntechOpen

Machine Learning Models for Industrial Applications

Autori: Enislay Ramentol, Tomas Olsson, Mats Tallfors and Shaibal Barua
Pubblicato in: AI and learning systems industrial applications and future directions, 2021
Editore: IntechOpen

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

Autori: IV Rahman, M., Avelin, A., & Kyprianidis, K.
Pubblicato in: Processes, 2019, ISSN 2227-9717
Editore: Processes
DOI: 10.3390/pr7090602

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

Autori: Jan Skvaril, Konstantinos G. Kyprianidis, Erik Dahlquist
Pubblicato in: Applied Spectroscopy Reviews, Numero 52/8, 2017, Pagina/e 675-728, ISSN 0570-4928
Editore: Marcel Dekker Inc.
DOI: 10.1080/05704928.2017.1289471

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

Autori: Moksadur Rahman, Valentina Zaccaria, Xin Zhao, Konstantinos Kyprianidis
Pubblicato in: Processes, Numero 6/11, 2018, Pagina/e 216, ISSN 2227-9717
Editore: Processes
DOI: 10.3390/pr6110216

A Machine Learning Approach for Biomass Characterization

Autori: 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.
Pubblicato in: Energy Procedia, Numero 158, 2019, Pagina/e 1279-1287, ISSN 1876-6102
Editore: Energy Procedia

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

Autori: Nathan Zimmerman, Erik Dahlquist, Konstantinos Kyprianidis
Pubblicato in: Energy Procedia, Numero 105, 2017, Pagina/e 1960-1966, ISSN 1876-6102
Editore: 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

Autori: Tomas Olsson, Enislay Ramentol, Moksadur Rahman, Mark Oostveen, Konstantinos Kyprianidis
Pubblicato in: Energy and AI, 2021, Pagina/e 100064, ISSN 2666-5468
Editore: 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

Autori: Rahman, M., Avelin, A., Kyprianidis, K., & Dahlquist, E.
Pubblicato in: Proceedings of the 10th Annual TAPPI Conference on Paper Industry (PaperCon 2017, 2018
Editore: PaperCon 2018

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

Autori: Elena Tomas-Aparicio, Erik Dahlquist, Awais Salman, Selman Ahmeddin and Hussein Abdirizak Mohamed
Pubblicato in: SIMS and Linköping University Electronic Press, 2020, Pagina/e 85-90, ISBN 978-91-7929-731-2
Editore: Linköping University Electronic Press

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

Autori: Rahman, M., Avelin, A., Kyprianidis, K., Jansson, J., & Dahlquist, E.
Pubblicato in: Proceedings of the 11th Annual TAPPI Conference on Paper Industry (PaperCon 2018), 2018
Editore: PaperCon

Sensor fault detection with Bayesian networks

Autori: Esin Iplik, Ioanna Aslanidou,Konstantinos Kyprianidis
Pubblicato in: The 61st SIMS Conference on Simulation and Modelling SIMS 2020, 2020
Editore: SIMS

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

Autori: Jan Skvaril, Konstantinos Kyprianidis, Anders Avelin, Monica Odlare, Erik Dahlquist
Pubblicato in: The 8th International Conference on Applied Energy – ICAE2016., Numero 105, 2017, Pagina/e 1309 – 1317
Editore: Energy Procedia

Simulation study for comparison of control structures for BFB biomass boiler

Autori: Milan Zlatkovikj, Valentina Zaccaria, Ioanna Aslanidou and Konstantinos Kyprianidis
Pubblicato in: 61st SIMS Virtual Conference on Simulation and Modelling SIMS 2020, Virtual Conference,, Numero 61st SIMS Virtual Conference on Simulation and Modelling SIMS 2020, Virtual Conference,, 2020, Pagina/e 107-115, ISBN 978-91-7929-731-2
Editore: SIMS and Linköping University Electronic Press

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

Autori: Ioanna Aslanidou, Valentina Zaccaria, Moksadur Rahman, Mark Oostven, Tomas Olsson, Konstantinos Kyprianidis
Pubblicato in: Global Power and Propulsion Society (GPPS) Forum 18, 2018
Editore: GPPS

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

Autori: Jerol Soibam, Rebei Bel Fdhila, Ioanna Aslanidou and Konstantinos Kyprianidis
Pubblicato in: 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
Editore: SIMS

Risultati finali

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