Lifecycle Design of Disruptive SCADA Systems for Waste-Water Treatment Installations

Stelian Brad, Mircea Murar, Grigore Vlad, Emilia Brad and Mariuța Popanton
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Stelian Brad: Department of Engineering Design and Robotics, Technical University of Cluj-Napoca, Bvd. Muncii 103–105, 400641 Cluj-Napoca, Romania
Mircea Murar: Department of Engineering Design and Robotics, Technical University of Cluj-Napoca, Bvd. Muncii 103–105, 400641 Cluj-Napoca, Romania
Grigore Vlad: Research and Development Institute for Environmental Protection Technologies and Equipment, Parcului 7, 420035 Bistrița, Romania
Emilia Brad: Department of Engineering Design and Robotics, Technical University of Cluj-Napoca, Bvd. Muncii 103–105, 400641 Cluj-Napoca, Romania
Mariuța Popanton: Department of Engineering Design and Robotics, Technical University of Cluj-Napoca, Bvd. Muncii 103–105, 400641 Cluj-Napoca, Romania

Sustainability, 2021, vol. 13, issue 9, 1-26

Abstract: Capacity to remotely monitor and control systems for waste-water treatment and to provide real time and trustworthy data of system’s behavior to various stakeholders is of high relevance. SCADA systems are used to undertake this job. SCADA solutions are usually conceptualized and designed with a major focus on technological integrability and functionality. Very little contributions are brought to optimize these systems with respect to a mix of target functions, especially considering a lifecycle perspective. In this paper, we propose a structured methodology for optimizing SCADA systems from a lifecycle perspective for the specific case of waste-water treatment units. The methodology embeds techniques for handling entropy in the design process and to assist engineers in designing effective solutions in a space with multiple constrains and conflicts. Evolutionary multiple optimization algorithms are used to handle this challenge. After the foundation of the theoretical model calibrated for the specific case of waste-water treatment units, a practical example illustrates its applicability. It is shown how the model can lead to a disruptive solution, which integrates cloud computing, IoT, and data analytics in the SCADA system, with some competitive advantages in terms of flexibility, cost effectiveness, and increased value added for both integrators and beneficiaries.

Keywords: waste-water management; SCADA; design optimization; remote control; IoT; cloud computing; disruptive innovation; lifecycle (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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