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

Rezultaty

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

Publikacje

AI Overview - Methods and Structures

Autorzy: Erik Dahlquist, Jan Skvaril, Konstantinos Kyprianidis
Opublikowane w: AI and Learning Systems - Industrial Applications and Future Directions, 2021, ISBN 978-1-78985-878-5
Wydawca: IntechOpen

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

Autorzy: Valdemar, Lipenko, Sebastian, Nigl, Andreas, Roither-Voigt, David, Zelenay
Opublikowane w: 2021
Wydawca: IntechOpen

Machine Learning Models for Industrial Applications

Autorzy: Enislay Ramentol, Tomas Olsson, Mats Tallfors and Shaibal Barua
Opublikowane w: AI and learning systems industrial applications and future directions, 2021
Wydawca: IntechOpen

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

Autorzy: IV Rahman, M., Avelin, A., & Kyprianidis, K.
Opublikowane w: Processes, 2019, ISSN 2227-9717
Wydawca: Processes
DOI: 10.3390/pr7090602

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

Autorzy: Jan Skvaril, Konstantinos G. Kyprianidis, Erik Dahlquist
Opublikowane w: Applied Spectroscopy Reviews, Numer 52/8, 2017, Strona(/y) 675-728, ISSN 0570-4928
Wydawca: Marcel Dekker Inc.
DOI: 10.1080/05704928.2017.1289471

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

Autorzy: Moksadur Rahman, Valentina Zaccaria, Xin Zhao, Konstantinos Kyprianidis
Opublikowane w: Processes, Numer 6/11, 2018, Strona(/y) 216, ISSN 2227-9717
Wydawca: Processes
DOI: 10.3390/pr6110216

A Machine Learning Approach for Biomass Characterization

Autorzy: 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.
Opublikowane w: Energy Procedia, Numer 158, 2019, Strona(/y) 1279-1287, ISSN 1876-6102
Wydawca: Energy Procedia

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

Autorzy: Nathan Zimmerman, Erik Dahlquist, Konstantinos Kyprianidis
Opublikowane w: Energy Procedia, Numer 105, 2017, Strona(/y) 1960-1966, ISSN 1876-6102
Wydawca: 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

Autorzy: Tomas Olsson, Enislay Ramentol, Moksadur Rahman, Mark Oostveen, Konstantinos Kyprianidis
Opublikowane w: Energy and AI, 2021, Strona(/y) 100064, ISSN 2666-5468
Wydawca: 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

Autorzy: Rahman, M., Avelin, A., Kyprianidis, K., & Dahlquist, E.
Opublikowane w: Proceedings of the 10th Annual TAPPI Conference on Paper Industry (PaperCon 2017, 2018
Wydawca: PaperCon 2018

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

Autorzy: Elena Tomas-Aparicio, Erik Dahlquist, Awais Salman, Selman Ahmeddin and Hussein Abdirizak Mohamed
Opublikowane w: SIMS and Linköping University Electronic Press, 2020, Strona(/y) 85-90, ISBN 978-91-7929-731-2
Wydawca: Linköping University Electronic Press

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

Autorzy: Rahman, M., Avelin, A., Kyprianidis, K., Jansson, J., & Dahlquist, E.
Opublikowane w: Proceedings of the 11th Annual TAPPI Conference on Paper Industry (PaperCon 2018), 2018
Wydawca: PaperCon

Sensor fault detection with Bayesian networks

Autorzy: Esin Iplik, Ioanna Aslanidou,Konstantinos Kyprianidis
Opublikowane w: The 61st SIMS Conference on Simulation and Modelling SIMS 2020, 2020
Wydawca: SIMS

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

Autorzy: Jan Skvaril, Konstantinos Kyprianidis, Anders Avelin, Monica Odlare, Erik Dahlquist
Opublikowane w: The 8th International Conference on Applied Energy – ICAE2016., Numer 105, 2017, Strona(/y) 1309 – 1317
Wydawca: Energy Procedia

Simulation study for comparison of control structures for BFB biomass boiler

Autorzy: Milan Zlatkovikj, Valentina Zaccaria, Ioanna Aslanidou and Konstantinos Kyprianidis
Opublikowane w: 61st SIMS Virtual Conference on Simulation and Modelling SIMS 2020, Virtual Conference,, Numer 61st SIMS Virtual Conference on Simulation and Modelling SIMS 2020, Virtual Conference,, 2020, Strona(/y) 107-115, ISBN 978-91-7929-731-2
Wydawca: SIMS and Linköping University Electronic Press

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

Autorzy: Ioanna Aslanidou, Valentina Zaccaria, Moksadur Rahman, Mark Oostven, Tomas Olsson, Konstantinos Kyprianidis
Opublikowane w: Global Power and Propulsion Society (GPPS) Forum 18, 2018
Wydawca: GPPS

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

Autorzy: Jerol Soibam, Rebei Bel Fdhila, Ioanna Aslanidou and Konstantinos Kyprianidis
Opublikowane w: 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
Wydawca: SIMS

Rezultaty

Publikacje

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