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Publications (10 of 119) Show all publications
Simonsson, J., Atta, K., Zachariah, D. & Birk, W. (2020). A latent variable approach to heat load prediction in thermal grids. In: : . Paper presented at European Control Conference 2020.
Open this publication in new window or tab >>A latent variable approach to heat load prediction in thermal grids
2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a new method for heat load prediction in district energy systems is proposed. The method uses a nominal model for the prediction of the outdoor temperature dependent space heating load, and a data driven latent variable model to predict the time dependent residual heat load. The residual heat load arises mainly from time dependent operation of space heating and ventilation, and domestic hot water production. The resulting model is recursively updated on the basis of a hyper-parameter free implementation that results in a parsimonious model allowing for high computational performance. The approach is applied to a single multi-dwelling building in Luleå, Sweden, predicting the heat load using a relatively small number of model parameters and easily obtained measurements. The results are compared with predictions using an artificial neural network, showing that the proposed method achieves better prediction accuracy for the validation case. Additionally, the proposed methods exhibits explainable behavior through the use of an interpretable physical model.

National Category
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-77819 (URN)
Conference
European Control Conference 2020
Funder
Swedish Energy Agency, 43090-2
Available from: 2020-02-24 Created: 2020-02-24 Last updated: 2020-04-28
Lucchese, R. & Birk, W. (2020). Computing the allowable uncertainty of sparse control configurations. Journal of Process Control, 87, 108-119
Open this publication in new window or tab >>Computing the allowable uncertainty of sparse control configurations
2020 (English)In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771, Vol. 87, p. 108-119Article in journal (Refereed) Published
Abstract [en]

Given a generic Control Configuration Selection (CCS) protocol and a plant uncertainty description isomorph to a unit ball in a finite-dimensional Lp space, we search for the largest perturbation radius for which the nominal configuration remains the preferred one. To this aim, we develop a randomized search algorithm based on sampling the uncertain plants and characterize its statistical performance. By adopting an intuitive accuracy measure that relates to the volume of points in which the preferred configuration differs from the nominal one, we devise a generally applicable strategy that allows for arbitrarily accurate estimates, in a specific probabilistic sense, depending on the number of uncertain plants that are sampled. We benchmark the proposed algorithm using examples from the literature and in a data center flow provisioning problem. In the latter setting, we identify the uncertainty description with the space of controls and sample the “uncertain” plants from an underlying nonlinear model.

Place, publisher, year, edition, pages
Elsevier, 2020
Keywords
Control configuration selection, Plant uncertainty, Randomized algorithms
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75912 (URN)10.1016/j.jprocont.2019.12.003 (DOI)000518872200009 ()2-s2.0-85079033812 (Scopus ID)
Note

Validerad;2020;Nivå 2;2020-02-14 (johcin)

Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2020-04-01Bibliographically approved
Groemer, M., Schranz, T., Birk, W. & Schweiger, G. (2020). DigitalTwin – Computational methods zur Analyse und Optimierung von Cyber-Physical Systems. In: 16. Symposium Energieinnovation, 12.-14.02.2020, Graz/Austria: ENERGY FOR FUTURE – Wege zur Klimaneutralität. Paper presented at 16. Symposium Energieinnovation, 12.-14.02.2020, Graz/Austria. Graz, Austria
Open this publication in new window or tab >>DigitalTwin – Computational methods zur Analyse und Optimierung von Cyber-Physical Systems
2020 (German)In: 16. Symposium Energieinnovation, 12.-14.02.2020, Graz/Austria: ENERGY FOR FUTURE – Wege zur Klimaneutralität, Graz, Austria, 2020Conference paper, Published paper (Other academic)
Abstract [de]

Digital Twins und Cyber-Physikalische Systeme spielen eine wichtige Rolle in zukünftigen intelligenten Systemen wie Industrie 4.0 oder Energiesystemen. Sowohl bei Digital Twins als auch bei Cyber-Physikalischen Systemen sind Modellierung und Simulation zentrale Werkzeuge. Ein Trend in der modellbasierten Analyse und Optimierung ist die zunehmende Komplexität der betrachteten Systeme, wodurch etablierte Methoden an ihre Grenzen stoßen. Des weiteren erfordern viele Anwendungen die Kombination von datengetriebene Techniken mit First-Principle-Modellen. Aktuelle Studien haben gezeigt, dass die Co-Simulation ein vielversprechender Ansatz für die Modellierung und Simulation komplexer Systeme ist. In diesem Paper wird ein physikalisches Modell einer industriellen Energieversorgung und ein datengetriebenes Modell einer Photovoltaikanlage co-simuliert.

Place, publisher, year, edition, pages
Graz, Austria: , 2020
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-77810 (URN)
Conference
16. Symposium Energieinnovation, 12.-14.02.2020, Graz/Austria
Available from: 2020-02-21 Created: 2020-02-21 Last updated: 2020-05-19
Schweiger, G., Nilsson, H., Schöggl, J. P., Birk, W. & Posch, A. (2020). Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms. Applied Mathematics and Computation, 365, Article ID 124713.
Open this publication in new window or tab >>Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms
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2020 (English)In: Applied Mathematics and Computation, ISSN 0096-3003, E-ISSN 1873-5649, Vol. 365, article id 124713Article, review/survey (Refereed) Published
Abstract [en]

A trend across most areas where simulation-driven development is used is the ever in- creasing size and complexity of the systems under consideration, pushing established methods of modeling and simulation towards their limits. This paper complements existing surveys on large-scale modeling and simulation of physical systems by conducting expert surveys. We conducted a two-stage empirical survey in order to investigate research needs, current challenges as well as promising modeling and simulation paradigms. Furthermore, we applied the analytic hierarchy process method to prioritise the strengths and weak- ness of different modeling paradigms. The results of this study show that experts consider acausal modeling techniques to be suitable for modeling large scale systems, while causal techniques are considered less suitable.

Place, publisher, year, edition, pages
Elsevier, 2020
Keywords
Modeling, Simulation, Physical modeling, Large-scale systems
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75984 (URN)10.1016/j.amc.2019.124713 (DOI)000488954600001 ()
Note

Validerad;2019;Nivå 2;2019-09-18 (johcin)

Available from: 2019-09-13 Created: 2019-09-13 Last updated: 2019-10-28Bibliographically approved
Lucchese, R. (2019). A study of fine and coarse actuation capabilities in air-cooled server racks: control strategies and cost analysis. IEEE Transactions on Control Systems Technology
Open this publication in new window or tab >>A study of fine and coarse actuation capabilities in air-cooled server racks: control strategies and cost analysis
2019 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865Article in journal (Refereed) Submitted
Keywords
Data center thermal management, Server thermal models, Controlled air-cooling
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75914 (URN)
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-18
Birk, W., Atta, K. & Udén, F. (2019). Improving District Heating System Operation through Control Configuration Selection and Adaptive Control. In: 2019 18th European Control Conference (ECC): . Paper presented at 2019 18th European Control Conference (ECC) (pp. 2944-2949).
Open this publication in new window or tab >>Improving District Heating System Operation through Control Configuration Selection and Adaptive Control
2019 (English)In: 2019 18th European Control Conference (ECC), 2019, p. 2944-2949Conference paper, Published paper (Refereed)
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75938 (URN)
Conference
2019 18th European Control Conference (ECC)
Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-09-10
Lucchese, R. & Birk, W. (2019). On the allowable uncertainty in control configuration selection. In: : . Paper presented at Nordic Process Control Workshop.
Open this publication in new window or tab >>On the allowable uncertainty in control configuration selection
2019 (English)Conference paper, Poster (with or without abstract) (Other academic)
Keywords
Robust control configuration selection, Relative Gain Array
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75931 (URN)
Conference
Nordic Process Control Workshop
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09
Birk, W. & Atta, K. (2019). Reinforcement of knowledge acquisition in course chains using student-held seminars. In: Development Conference for Swedish Engineering Education 2019: . Paper presented at Development Conference for Swedish Engineering Education 2019.
Open this publication in new window or tab >>Reinforcement of knowledge acquisition in course chains using student-held seminars
2019 (English)In: Development Conference for Swedish Engineering Education 2019, 2019Conference paper, Published paper (Other academic)
Abstract [en]

This work in progress paper presents an approach for knowledge reinforcement of students by introducing student-held course seminars reflecting back on the knowledge from prior courses relevant to current course topics. The paper discusses the motivation of the approach, its practical implementation, and observation made during two consecutive course instances. Further, course evaluations are used to reflect on the efficacy of the proposed approach and its future refinement.

National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-77812 (URN)
Conference
Development Conference for Swedish Engineering Education 2019
Available from: 2020-02-21 Created: 2020-02-21 Last updated: 2020-04-28
Lindström, J., Lejon, E., Kyösti, P., Mecella, M., Heutelbeck, D., Hemmje, M., . . . Gunnarsson, B. (2019). Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4.0 context. In: Edited by Peter Butala, Edvard Govekar, Rok Vrabič (Ed.), Procedia CIRP, vol 81: . Paper presented at 52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019 (pp. 880-885). Elsevier, 81
Open this publication in new window or tab >>Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4.0 context
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2019 (English)In: Procedia CIRP, vol 81 / [ed] Edited by Peter Butala, Edvard Govekar, Rok Vrabič, Elsevier, 2019, Vol. 81, p. 880-885Conference paper, Published paper (Refereed)
Abstract [en]

The paper addresses intelligent and sustainable production achieved through combination and integration of online predictive maintenance, monitoring of process parameters and continuous quality control of both input materials and output from the process. This enables production systems, within both manufacturing and process industries, to move towards zero-defect manufacturing. Such a zero-defect manufacturing approach allows for earlier identification of problems or issues, which will or already negatively affect the output. The paper outlines the first part of the second cycle of an action research effort at Gestamp HardTech AB in Sweden, whose objective is to keep its position as a world-leading provider of press-hardened vehicle parts. In order to fully implement the zero-defect manufacturing approach, 4-6 action research cycles are expected to be needed in order to iteratively refine the approach. During the first cycle, various methods and solutions for some of the individual issues/problems have been conceptualized, realized and initially tested. The selected design criteria for the action research efforts were: simplicity, low cost, robustness, high-quality output and future-proofing. The result from the research in the second cycle so far is an action plan for the technical change and a set of challenges/problems which need additional investigation.

Place, publisher, year, edition, pages
Elsevier, 2019
Series
Procedia CIRP, vol 81, ISSN 2212-8271
Keywords
continuous quality controlI, Industry4.0, intelligent, online predictive maintenance, production, sustainable, zero-defect manufacturing
National Category
Engineering and Technology Information Systems, Social aspects Control Engineering Applied Mechanics
Research subject
Information systems; Experimental Mechanics; Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75114 (URN)10.1016/j.procir.2019.03.218 (DOI)
Conference
52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019
Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-07-08Bibliographically approved
Loureiro, T., Rämä, M., Sterling, R., Cozzini, M., Vinyals, M., Descamps, M., . . . Geyer, P. (2018). District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency. In: : . Paper presented at Sustainable Places 2018 (SP 2018), 27-29 June 2018, Aix-les Bains, France (pp. 1127-1131). Basel, Switzerland: MDPI, 2(15)
Open this publication in new window or tab >>District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency
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2018 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Workshop organized by INDIGO project as a collaborative activity among EU funded projects in the area of District Heating and Cooling. The objective of the workshop was twofold: (1) to create a cluster of European funded projects working in the area of District Energy Systems; and (2) to create a networking opportunity in which to share experiences on the results and difficulties of the researches, and to identify synergies.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2018. p. 5
Keywords
district energy systems, district heating and cooling, energy efficiency, planning, modelling
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-71415 (URN)10.3390/proceedings2151127 (DOI)
Conference
Sustainable Places 2018 (SP 2018), 27-29 June 2018, Aix-les Bains, France
Projects
OPTi
Available from: 2018-11-01 Created: 2018-11-01 Last updated: 2018-11-06Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5888-8626

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