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Perspectives on the Advancement of Industry 4.0 Technologies Applied to Water Pumping Systems: Trends in Building Pumps

Author

Listed:
  • Danilo Ferreira de Souza

    (Faculty of Architecture, Engineering and Technology—FAET, Campus Cuiaba, Federal University of Mato Grosso, Cuiabá 78060-900, Brazil
    Institute of Energy and Environment—IEE, University of Sao Paulo—USP, Sao Paulo 05508-010, Brazil)

  • Emeli Lalesca Aparecida da Guarda

    (Environment Comfort Laboratory, Federal University of Santa Catarina, Florianopolis 88040-900, Brazil)

  • Welitom Ttatom Pereira da Silva

    (Faculty of Architecture, Engineering and Technology—FAET, Campus Cuiaba, Federal University of Mato Grosso, Cuiabá 78060-900, Brazil)

  • Ildo Luis Sauer

    (Institute of Energy and Environment—IEE, University of Sao Paulo—USP, Sao Paulo 05508-010, Brazil)

  • Hédio Tatizawa

    (Institute of Energy and Environment—IEE, University of Sao Paulo—USP, Sao Paulo 05508-010, Brazil)

Abstract

The rational use of energy systems is one of the main discussions in sustainability in the 21st century. Water pumping systems are one of the most significant consumers of electricity in urban systems, whether for urban water supply, sewage, or use in vertical buildings. Thus, this work aims to present Industry 4.0 (I4.0) technologies applied in buildings’ water pumping systems, focusing on energy efficiency, supervision, and control of the pumping system. The work involves four steps: (i) identifying the existing I4.0 technologies and (ii) mapping the possibilities of applying Industry 4.0 technologies in building pumping systems. The study includes the analysis of (16) articles published in journals between 2018 and June 2021 to identify I4.0 technologies cited in the publications. It identified and grouped eighteen (18) technologies based on twenty-two (22) terms observed in the papers. The study classified the identified technologies into three possible applications in a building water pumping system. The applications include: (i) directly applicable, (ii) partially applicable, and (iii) application not yet identified. Therefore, the study presents the advantages of I4.0 technologies developed primarily for the industry sector, also applicable in residential building water pumping systems. These technologies’ benefits include energy efficiency, user control, a reduction from periods of failure of the pumping system (maintenance), water quality, and moving towards Intelligent Pumping or Pumping 4.0.

Suggested Citation

  • Danilo Ferreira de Souza & Emeli Lalesca Aparecida da Guarda & Welitom Ttatom Pereira da Silva & Ildo Luis Sauer & Hédio Tatizawa, 2022. "Perspectives on the Advancement of Industry 4.0 Technologies Applied to Water Pumping Systems: Trends in Building Pumps," Energies, MDPI, vol. 15(9), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3319-:d:807389
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    References listed on IDEAS

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    1. De Almeida, A. & Fong, J. & Brunner, C.U. & Werle, R. & Van Werkhoven, M., 2019. "New technology trends and policy needs in energy efficient motor systems - A major opportunity for energy and carbon savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    2. Filipe, Jorge & Bessa, Ricardo J. & Reis, Marisa & Alves, Rita & Póvoa, Pedro, 2019. "Data-driven predictive energy optimization in a wastewater pumping station," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Michele Mutchek & Eric Williams, 2014. "Moving Towards Sustainable and Resilient Smart Water Grids," Challenges, MDPI, vol. 5(1), pages 1-15, March.
    4. Tim M. Müller & Lena C. Altherr & Philipp Leise & Peter F. Pelz, 2020. "Optimization of Pumping Systems for Buildings: Experimental Validation of Different Degrees of Model Detail on a Modular Test Rig," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 481-488, Springer.
    5. Miltiadis D. Lytras & Anna Visvizi, 2018. "Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    6. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    7. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    9. Zhikun Ding & Rongsheng Liu & Zongjie Li & Cheng Fan, 2020. "A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management," Energies, MDPI, vol. 13(18), pages 1-33, September.
    10. Danilo Ferreira de Souza & Emeli Lalesca Aparecida da Guarda & Ildo Luis Sauer & Hédio Tatizawa, 2021. "Energy Efficiency Indicators for Water Pumping Systems in Multifamily Buildings," Energies, MDPI, vol. 14(21), pages 1-13, November.
    11. Rio Carrillo, Anna Mercè & Frei, Christoph, 2009. "Water: A key resource in energy production," Energy Policy, Elsevier, vol. 37(11), pages 4303-4312, November.
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