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Träfflista för sökning "WFRF:(Birk Wolfgang 1968 ) srt2:(2015-2019)"

Sökning: WFRF:(Birk Wolfgang 1968 ) > (2015-2019)

  • Resultat 1-12 av 12
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1.
  • Atta, Khalid, et al. (författare)
  • Utilization of Generic Consumer Modeling in Planning and Optimization of District Heating and Cooling Systems
  • 2018
  • Ingår i: Proceedings of the 21st Nordic Process Control Workshop.
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • District heating and cooling (DHC) networks are large scale complex systems which aregenerally difficult to operate and optimize. The large thermal inertia in the systems leadsto long reaction times on changes at the consumer side, which means that forecasting ofconsumer behaviour is a needed tool for efficient operation. Within the European Unionmany major research project target the energy reduction on the consumption side and peakload management while maintaining customer satisfaction.The optimal operation of a DHC network can therefore be considered as an interestingarea of investigation due to a number of aspects, like (i) the vast amount of the energy that is distributed by these networks, (ii) the demand to provide a better quality of services by the operators of these networks, and (iii) compliance with new environmental regulations. In this presentation, we discuss a possible conceptual method that utilizes a simpliedstatic model of different types of consumers in the network to design a decision supportsystem that will guide the operators of the DHC network to optimally operate the networkwith different operational scenarios that include but not limited to: (i) energy consumptionminimization, (ii) economic operation, (iii) peak load reduction/shifting, and (iv) environmentally friendly operation. In its current form, the operator will be informed, while in thefuture these actions could be fully automated in a closed loop context.The DHC network in Luleå, Sweden will be used as a test case which represents a typicalmedium size network. The case has a number of properties which motivate its study likee.g. the distributed generation possibilities, the geographical distribution of the consumers,and the different types of consumers in the area. The presentation will be concluded with anoutlook on future tracks of research and development
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2.
  • Birk, Wolfgang, 1968-, et al. (författare)
  • Improving District Heating System Operation through Control Configuration Selection and Adaptive Control
  • 2019
  • Ingår i: 2019 18th European Control Conference (ECC). - : IEEE. ; , s. 2944-2949
  • Konferensbidrag (refereegranskat)abstract
    • This paper discusses the joint use of control configuration selection and adaptive model predictive control for the reconfiguration and improvement of a control system for the heat generation and distribution in a district heating system. The traditional PID-type multi-loop controller configuration is assessed from its feasibility and potential to be improved, on the basis of automatically generated models. The studied test case is the district heating system in Luleå, Sweden.It is found that a multivariable controller for a subsystem of the complete system could largely improve the performance of the system and thereby addressing confirmed oscillations in the system. An adaptive model predictive controller is implemented in the realistic simulator OPTi-Sim for the district heating system in Luleå, Simulation results confirm that the oscillations which are present in the simulation with the current control scheme can be largely reduced through the use of the proposed controlled.
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4.
  • Birk, Wolfgang, 1968-, et al. (författare)
  • Towards Autonomous Synthesis of Building Substation Control Loops
  • 2016
  • Ingår i: IEEE International Conference on Smart Grid Communications (SmartGridComm) 2016. - Piscataway, NJ. - 9781509040759 ; , s. 38-44
  • Konferensbidrag (refereegranskat)abstract
    • The main contribution of this paper is to study the feasibility of an automated approach to the assessment and synthesis of control loops in substations of a district heating and cooling system. The low-level controllers in substation are usually PID-type controllers and can not easily be changed. Moreover, the tuning of these controllers is often done in an ad-hoc manner and remains in the initial tuning despite changes in the substation over their operational life. Consequently, insufficient control performance due to false tuning can be misinterpreted as a hardware issue and lead to unnecessary replacement of parts.In order to solve this problem, the paper proposes an approach to assess the control loop performance based on logged data from substations, and to subsequently tune the current substation controllers, when no hardware issues are detected. The approach is applied to a well-known building substation model in simulation, which indicates that the approach is feasible.Analysis of acquired data from a number of substations in the DHC system of Luleå Energi AB, provides evidence for the problem and how the approach can be applied in its future implementation. Moreover, a number of challenges and future work are indicated.
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5.
  • Cancila, D., et al. (författare)
  • Experiences and reflections on three years of CPS Summer schools within EIT digital
  • 2016
  • Ingår i: 2016 Workshop on Embedded and Cyber-Physical Systems Education, WESE 2016 - Organized as a Part of Embedded Systems Week, Proceedings. - New York, NY, USA : ACM Digital Library. - 9781450346573
  • Konferensbidrag (refereegranskat)abstract
    • This article provides an overview of current European Commission effort in term of educational innovation to reduce the gap between research and industry which still is a barrier to the economic development. Entrepreneurial innovation & education driving Europe's digital transformation (EIT Digital for short) is an European-based initiative fostering I&E (innovation and entrepreneurship) by integrating education, research and business at different educational levels. For instance in EIT master programmes, students work together with industries and academics to have a faster go-to-market of research results. Summer schools are part of the master programs; three of them have been organised related to CPS (cyber-physical systems), critical infrastructure and, more recently, Industry 4.0. Past and present events are discussed and the experience from these events is reported. It is further analysed how the general setup of the summer school program is affecting the educational aspects and achievement of the intended learning outcomes.
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6.
  • Castaño Arranz, Miguel, et al. (författare)
  • On Guided and Automatic Control Configuration Selection : Application on a Secondary Heating System
  • 2017
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • This technical report provides supplementary materialto the research paper entitled ”On Guided and AutomaticControl Configuration Selection”, presented at the ETFA 2017.In that paper, different Control Configuration Selection (CCS)tools are reviewed and integrated into guided and automaticCCS methodologies. The guided CCS is a heuristic step-by-stepmethodology to be applied by practitioners, while the automaticCCS methodologies target the adaptation of such heuristicsinto algorithms which can be run in a computer and assist thepractitioners in the decision making. This report summarizesthe results of applying the introduced methodologies to a reallifeprocess: the Secondary Heating System. For an introductorybackground, preliminaries, and details on the methodologies,the reader is referred to the original research paper.
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7.
  • Lindström, John, et al. (författare)
  • Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4.0 context
  • 2019
  • Ingår i: Procedia CIRP, vol 81. - : Elsevier. ; , s. 880-885
  • Konferensbidrag (refereegranskat)abstract
    • 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.
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8.
  • Loureiro, Tatiana, et al. (författare)
  • District Energy Systems : A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency
  • 2018
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • 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.
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10.
  • Lucchese, Riccardo (författare)
  • Cooling Control Strategies in Data Centers for Energy Efficiency and Heat Recovery
  • 2019
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Data centers are facilities dedicated to the processing, storage, and relay of large amounts of digital information. As a whole, it is an energy intensive industry, characterized by a sizable carbon footprint and a short-term exponential growth rate. At a macroscopic level, their operation requires balancing the offer and demand of computational, cooling, and electrical power resources. The computational workload is influenced by external factors such as the end-users’ activity, while the overall run-time costs depend on the weather conditions and the fluctuating pricing of electricity. In this context, the adoption of optimizing control strategies and co-design methodologies that address simultaneously both the mechanical and control aspects, has the potential to unlock more sustainable designs. Improvements in the overall energetic efficiency open to larger-scale deployments in less favorable geographical locations. Recovery systems addressing the vast amounts of by-product heat can support other heat intensive processes such as district networks, wood drying, greenhouses, and food processing. This work focuses on how to adapt the provisioning of the cooling resources to the cooling demand, without negotiating the computational throughput. We devise top-down designs, that address unexplored control possibilities in existing deployments. We moreover apply a bottomup perspective, by modeling and studying co-designed cooling setups which bring significant simplifications to data center level optimal provisioning problems. The analysis aims at the different levels of the data center infrastructure hierarchy, and provides answers to centerpiece questions such as i) what are the optimal flow provisioning policies at different levels of the data centers?; ii) how to design simple but effective control strategies that address the complexity induced by the large scales?; iii) what are the exhaust heat properties that can be expected in air-cooled and liquid-cooled data centers?. Exploiting a model-centric approach we demonstrate the effectiveness of tailored control strategies in both achieving better cooling efficiency and a higher quality of the heat harvest. This thesis presents opportunities to simplify data center control structures while retaining or improving their performance. Furthermore, it lays modeling and control methodologies toward the holistic control-oriented treatment of the computing, cooling, and power distribution infrastructures. The results have a practical character and the model-based analysis establishes important development directions, confirming existing trends. Enabling intelligent data center management systems might not need to imply more complex tools; rather, a co-design effort might yield both simpler and effective control systems.
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11.
  • Lucchese, Riccardo, et al. (författare)
  • On the allowable uncertainty in control configuration selection
  • 2019
  • Ingår i: Proceedings of the 22nd Nordic Process Control Workshop. - : Technical University of Denmark. ; , s. 72-75
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • We consider Control Configuration Selection (CCS) problems in the presence of uncertainty. Our analysis focuses nominal plants given as Transfer Functions (TFs) and an additive perturbation model to capture uncertainty. The discussion is tailored to the Relative Gain Array (RGA) measure proposed by Bristol in 1966 and later popularized by several authors. Within this setting, we propose an algorithmic approach to estimate an allowable perturbation radius for which the nominal control configuration remains the preferred one. We benchmark our strategy using an example from the literature, demonstrating its effectiveness.
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12.
  • Moaveni, Bijan, et al. (författare)
  • Modified Hankel Interaction Index Array for Input-Output Pairing with Improved Characteristics
  • 2018
  • Ingår i: IFAC-PapersOnLine. - : Elsevier. - 2405-8963. ; , s. 452-457
  • Konferensbidrag (refereegranskat)abstract
    • In this study, a modified version of Hankel Interaction Index Array (HIIA) for control configuration selection is presented which can overcome some of its shortcomings, like e.g. scaling dependency, or not relating to closed loop system properties. Inspired by the relative gain array approach, the HIIA is reformulated in the relative gain thinking by considering the effect of closing loops. The ratio of the Hankel norm of the subsystems in closed and open loop are used to state a modified version of HIIA, which has improved characteristics compared to the original HIIA. Properties of the modified HIIA are discussed and benchmarked with established methods on three example cases.
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