Acquisition and presentation system for Energy Management - design and implementation

• Autorzy: Korus Lukasz , Jablonski Andrzej

Identyfikatory

DOI

10.24425/ijet.2025.153616

• Języki publikacji: EN

Abstrakty

EN

Energy Management (EMS) is understood as the effort to minimize energy consumption in industrial facilities through a continuous improvement approach. Decentralized Control Systems (DCS) concentrated on optimizing energy consumption in small and medium enterprises (SMEs) are still rarely used. The practical application of the continuous improvement approach relies on a Deming-like cycle, utilizing data gathered through Data Acquisition and Presentation Systems. The article addresses the issue of designing and implementing such type of systems as foundation of Energy Management in SMEs.

Słowa kluczowe

EN

Data acquisition; presentation systems; IIoT systems; EDGE computing; Cloud computing; Energy management

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2025
• Tom: Vol. 71, No. 3
• Strony: 8
• Opis fizyczny: Bibliogr. 8 poz., rys., fot.

Twórcy

autor

Korus Lukasz

• Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, Wroclaw, Poland

autor

Jablonski Andrzej

• Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, Wroclaw, Poland

Bibliografia

• [1] J. Frasner, F. Morea, C. Krenn, J. Uson, and F. Tomasi, “Energy efficiency in small and medium enterprises: Lessons learned from 280 energy audits across europe.” Journal of Cleaner Production, vol. 142, no. 4, pp. 1650-1660, 2017.
• [2] A. Prashar, “Adopting pdca (plan-do-check-act) cycle for energy optimization in energy-intensive smes.” Journal of Cleaner Production, vol. 145, pp. 277-293, 2017.
• [3] L. Korus and M. Piorek, “Compound method of time series classification.” Nonlinear Analysis: Modelling and Control, vol. 20, no. 4, pp. 545-560, 2019.
• [4] L. Korus and A. Jablonski, “Aspects of measurement data acquisition and optimisation in the energy transformation of industrial facilities.” Advanced, Contemporary Control, PCC2023, vol. 20, no. 4, pp. 39-48, 2023.
• [5] J. Haxhibeqiri, E. D. Poorter, I. Moerman, and J. Hoebeke, “A survey of lorawan for iot: From technology to application,” Sensors, vol. 18, no. 11, 2018.
• [6] H. Abarbanel, R. Brown, J. Sidorowich, and L. Tsimring, “The analysis of observed chaotic data in physical systems.” Reviews of Modern Physics, vol. 65, no. 4, p. 1331, 1993.
• [7] A. Fraser and H. Swinney, “Independent coordinates for strange attractors from mutual information.” Physical Review A, vol. 33, no. 2, p. 1134, 1986.
• [8] Y.-L. Moon, B. Rajagopalan, and U. Lall, “Estimation of mutual information using kernel density estimators.” Physical Review E, vol. 52, no. 3, pp. 2318-2321, 1995.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).