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Krzysztof Arminski, Tomasz Zubowicz and Mietek A. Brdys


Drinking Water Distribution Systems (DWDSs) play a key role in sustainable development of modern society. They are classified as critical infrastructure systems. This imposes a large set of highly demanding requirements on the DWDS operation and requires dedicated algorithms for on-line monitoring and control to tackle related problems. Requirements on DWDS availability restrict the usability of the real plant in the design phase. Thus, a proper model is crucial. Within this paper a DWDS multi-species quality model for simulation and design is derived. The model is composed of multiple highly inter-connected modules which are introduced to represent chemical and biological species and (above all) their interactions. The chemical part includes the processes of chloramine decay with additional bromine catalysis and reaction with nitrogen compounds. The biological part consists of both heterotrophic and chemo-autotrophic bacteria species. The heterotrophic bacteria are assumed to consume assimilable organic carbon. Autotrophs are ammonia oxidizing bacteria and nitrite oxidizing bacteria species which are responsible for nitrification processes. Moreover, Disinfection By-Products (DBPs) are also considered. Two numerical examples illustrate the derived model’s behaviour in normal and disturbance operational states.

Open access

Martin Hall-May, Mike Surridge and Roman Nossal-Tüyeni

Resilient critical infrastructure management with a service oriented architecture: A test case using airport collaborative decision making

The SERSCIS approach aims to support the use of interconnected systems of services in Critical Infrastructure (CI) applications. The problem of system interconnectedness is aptly demonstrated by ‘Airport Collaborative Decision Making’ (A-CDM). Failure or underperformance of any of the interlinked ICT systems may compromise the ability of airports to plan their use of resources to sustain high levels of air traffic, or to provide accurate aircraft movement forecasts to the wider European air traffic management systems. The proposed solution is to introduce further SERSCIS ICT components to manage dependability and interdependency. These use semantic models of the critical infrastructure, including its ICT services, to identify faults and potential risks and to increase human awareness of them. Semantics allow information and services to be described in a way that makes them understandable to computers. Thus when a failure (or a threat of it) is detected, SERSCIS components can take action to manage the consequences, including changing the interdependency relationships between services. In some cases, the components will be able to take action autonomously, e.g., to manage ‘local’ issues such as the allocation of CPU time to maintain service performance, or the selection of services where there are redundant sources available. In other cases the components will alert human operators so they can take action instead. The goal of this paper is to describe a Service Oriented Architecture (SOA) that can be used to address the management of ICT components and interdependencies in critical infrastructure systems.

Open access

Janusz Kogut and Henryk Ciurej

, Mechanika   222 (65): 209-218. Kogut, J. and Ciurej, H. (2005b). The numerical study of the dynamic train axle forces induced on an uneven railway track, Czasopismo Techniczne   102 (12-B): 35-49. Kogut, J. and Ciurej, H. (2006). A numerical modelling and an identification of the parameters of the tramway bogie, in T. Uhl (Ed.), Selected Problems of Modal Analysis of Mechnical Constructions , Institute for Sustainable Technologies—National Research Institute, Cracow, pp. 156-164. Kogut, J

Open access

Shanzhi Li, Haoping Wang, Abdel Aitouche, Yang Tian and Nicolai Christov

Laboratory, Golden, CO. Kamal, E. and Aitouche, A. (2013). Robust fault tolerant control of DFIG wind energy systems with unknown inputs, Renewable Energy 56(4): 2-15. Kamal, E., Aitouche, A., Ghorbani, R. and Bayart, M. (2012). Robust fuzzy fault-tolerant control of wind energy conversion systems subject to sensor faults, IEEE Transactions on Sustainable Energy 3(2): 231-241. Kamal, E., Aitouche, A., Ghorbani, R. and Bayart, M. (2014). Fuzzy scheduler fault-tolerant control for wind energy conversion systems, IEEE

Open access

Naziha Harrabi, Maher Kharrat, Abdel Aitouche and Mansour Souissi

, A.M. (2013). Fuzzy logic control of wind energy conversion system, Journal of Renewable and Sustainable Energy 5(2): 023125. Goudarzi, N. and Zhu, W. (2013). A review on the development of wind turbine generators across the world, International Journal of Dynamics and Control 1(2): 192-202. Harrabi, N., Souissi, M., Aitouche, A. and Chaabane, M. (2016). MPPT algorithm for wind energy generation system using TS fuzzy modeling, 5th International Conference on Systems and Control (ICSC), Marrakesh, Morrocco, pp. 157

Open access

Daria Panek, Andrzej Skalski, Janusz Gajda and Ryszard Tadeusiewicz

glottal insufficiency, Otolaryngology-Head and Neck Surgery 127(5): 448-451. Bishop, C.M. (2006). Pattern Recognition and Machine Learning, Vol. 1, Springer, New York, NY. Brinca, L.F., Batista, A.P.F., Tavares, A.I., Goncalves, I.C. and Moreno, M.L. (2014). Use of cepstral analyses for differentiating normal from dysphonic voices: A comparative study of connected speech versus sustained vowel in European Portuguese female speakers, Journal of Voice 28(3): 282-286. Eadie, T.L. and Doyle, P.C. (2005). Classification of

Open access

Tomasz Barszcz and Piotr Czop

References Barszcz, T. (2007). Virtual power plant in condition monitoring of power generation unit, Proceedings of the 20th International Congress on Condition Monitoring and Diagnostic Engineering Management, Faro, Portugal , pp. 1-10. Barszcz, T. and Czop, P. (2007). Methodologies and Applications of Virtual Power Plant: New Environment for Power Plant Elements Modeling , Institute of Sustainable Technologies, Radom. Bohlin, T. (2006). Practical Grey-box Process Identification

Open access

Mariusz Kamola

. , Vol. 75, No. 2, pp. 137-176. Poloni C., Pediroda V., Clarich A. and Steven G. (2005): The use of optimisation algorithms in PSO. — Project Deliverable 4, Fenet Thematic Network, Competitive and Sustainable Growth Programme, available at Portacha J. (1969): Optimisation of Heat System Structure in a Steam Power Plant. — Ph.D. thesis, Warsaw University of Technology, Warsaw, (in Polish). Press W.H., Teukolsky S.A., Vetterling W.T. and Flannery B

Open access

Silvio Simani, Saverio Farsoni and Paolo Castaldi

Hall, Englewood Cliffs, NJ. Odgaaard, P.F. and Shafiei, S.E. (2015). Evaluation of wind farm controller based fault detection and isolation, Proceedings of the IFAC SAFEPROCESS Symposium 2015, Paris, France, Vol. 48, pp. 1084-1089, DOI: 10.1016/j.ifacol.2015.09.671. Odgaard, P.F. (2012). FDI/FTC wind turbine benchmark modelling, in R.J. Patton (Ed.), Workshop on Sustainable Control of Offshore Wind Turbines, Vol. 1, University of Hull, Hull, pp. 1-5. Odgaard, P.F. and Stoustrup, J. (2012). Results of a wind turbine FDI

Open access

Paweł D. Domański and Maciej Ławryńczuk

.J. (2010). Process Dynamics and Control, Wiley, Hoboken, NJ. Shapiro, S.S. and Wilk, M.B. (1965). An analysis of variance test for normality (complete samples), Biometrika 52(3-4): 591-611. Shinskey, F.G. (2002). Process control: As taught vs. as practiced, Industrial and Engineering Chemistry Research 41(16): 3745-3750. Smuts, J.F. and Hussey, A. (2011). Requirements for successfully implementing and sustaining advanced control applications, ISA POWID Conference, Research Triangle Park, NC, USA, pp. 89