IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i13p3338-d378311.html
   My bibliography  Save this article

SMART Computational Solutions for the Optimization of Selected Technology Processes as an Innovation and Progress in Improving Energy Efficiency of Smart Cities—A Case Study

Author

Listed:
  • Krzysztof Gaska

    (Department of Water and Wastewater Engineering, Silesian University of Technology, Konarskiego 18, 44–100 Gliwice, Poland)

  • Agnieszka Generowicz

    (Department of Environmental Technologies, Cracow University of Technology, Warszawska 24, 31–155 Cracow, Poland)

Abstract

The paper presents advanced computational solutions for selected sectors in the context of the optimization of technology processes as an innovation and progress in improving energy efficiency of smart cities. The main emphasis was placed on the sectors of critical urban infrastructure, including in particular the use of algorithmic models based on artificial intelligence implemented in supervisory control systems (SCADA-type, including Virtual SCADA) of technological processes involving the sewage treatment systems (including in particular wastewater treatment systems) and waste management systems. The novelty of the presented solution involves the use of predictive diagnostic tools, based on multi-threaded polymorphic models supporting decision making processes during the control of a complex technological process and objects of distributed network systems (smart water grid, smart sewage system, smart waste management system) and solving problems of optimal control for smart dynamic objects with logical representation of knowledge about the process, the control object and the control itself, for which the learning process consists of successive validation and updating of knowledge and the use of the results of this updating to make control decisions. The advantage of the proposed solution in relation to the existing ones lies in the use of advanced models of predictive diagnostics, validation and reconstruction of data, implemented in functional tools, allowing the stabilization of the work of technological objects through the use of FTC technology (fault tolerant control) and soft sensors, predictive measurement path diagnostics (sensors, transducers), validation and reconstruction of measurement data from sensors in the measuring paths in real time. The dedicated tools (Intelligent Real Time Diagnostic System − iRTDS) built into the system of a hierarchical, multi-threaded control optimizing system of SCADA system allow to obtain advanced diagnostics of technological processes in real time using HPC technology. In effect of the application of the proprietary iRTDS tool, we obtain a significant rise of energy efficiency of technological processes in key sectors of the economy, which in global terms, e.g., urban agglomeration, increases the economic efficiency.

Suggested Citation

  • Krzysztof Gaska & Agnieszka Generowicz, 2020. "SMART Computational Solutions for the Optimization of Selected Technology Processes as an Innovation and Progress in Improving Energy Efficiency of Smart Cities—A Case Study," Energies, MDPI, vol. 13(13), pages 1-41, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3338-:d:378311
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/13/3338/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/13/3338/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eric Santos-Clotas & Alba Cabrera-Codony & Alba Castillo & Maria J. Martín & Manel Poch & Hèctor Monclús, 2019. "Environmental Decision Support System for Biogas Upgrading to Feasible Fuel," Energies, MDPI, vol. 12(8), pages 1-14, April.
    2. Blanca Antizar-Ladislao & Juan L. Turrion-Gomez, 2010. "Decentralized Energy from Waste Systems," Energies, MDPI, vol. 3(2), pages 1-12, January.
    3. Hiroshi Koseki, 2011. "Evaluation of Various Solid Biomass Fuels Using Thermal Analysis and Gas Emission Tests," Energies, MDPI, vol. 4(4), pages 1-12, April.
    4. Longo, Stefano & d’Antoni, Benedetto Mirko & Bongards, Michael & Chaparro, Antonio & Cronrath, Andreas & Fatone, Francesco & Lema, Juan M. & Mauricio-Iglesias, Miguel & Soares, Ana & Hospido, Almudena, 2016. "Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement," Applied Energy, Elsevier, vol. 179(C), pages 1251-1268.
    5. Marcin Jewiarz & Krzysztof Mudryk & Marek Wróbel & Jarosław Frączek & Krzysztof Dziedzic, 2020. "Parameters Affecting RDF-Based Pellet Quality," Energies, MDPI, vol. 13(4), pages 1-17, February.
    6. Takahiro Yamashita & Makoto Shiraishi & Hiroshi Yokoyama & Akifumi Ogino & Ryoko Yamamoto-Ikemoto & Takashi Osada, 2019. "Evaluation of the Nitrous Oxide Emission Reduction Potential of an Aerobic Bioreactor Packed with Carbon Fibres for Swine Wastewater Treatment," Energies, MDPI, vol. 12(6), pages 1-13, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tatiana Tucunduva Philippi Cortese & Jairo Filho Sousa de Almeida & Giseli Quirino Batista & José Eduardo Storopoli & Aaron Liu & Tan Yigitcanlar, 2022. "Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review," Energies, MDPI, vol. 15(7), pages 1-38, March.
    2. Anna Gronba-Chyła & Agnieszka Generowicz & Paweł Kwaśnicki & Dawid Cycoń & Justyna Kwaśny & Katarzyna Grąz & Krzysztof Gaska & Józef Ciuła, 2022. "Determining the Effectiveness of Street Cleaning with the Use of Decision Analysis and Research on the Reduction in Chloride in Waste," Energies, MDPI, vol. 15(10), pages 1-11, May.
    3. Adrian Czajkowski & Agata Wajda & Nikolina Poranek & Shubhangi Bhadoria & Leszek Remiorz, 2022. "Prediction of the Market of End-of-Life Photovoltaic Panels in the Context of Common EU Management System," Energies, MDPI, vol. 16(1), pages 1-15, December.
    4. Olga Pilipczuk, 2020. "Sustainable Smart Cities and Energy Management: The Labor Market Perspective," Energies, MDPI, vol. 13(22), pages 1-24, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adrian Knapczyk & Sławomir Francik & Marcin Jewiarz & Agnieszka Zawiślak & Renata Francik, 2020. "Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case," Energies, MDPI, vol. 14(1), pages 1-31, December.
    2. Hussain, Fida & Shah, Syed Z. & Ahmad, Habib & Abubshait, Samar A. & Abubshait, Haya A. & Laref, A. & Manikandan, A. & Kusuma, Heri S. & Iqbal, Munawar, 2021. "Microalgae an ecofriendly and sustainable wastewater treatment option: Biomass application in biofuel and bio-fertilizer production. A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    3. Antonio Messineo & Roberto Volpe & Francesco Asdrubali, 2012. "Evaluation of Net Energy Obtainable from Combustion of Stabilised Olive Mill By-Products," Energies, MDPI, vol. 5(5), pages 1-14, May.
    4. Andrea G. Capodaglio & Gustaf Olsson, 2019. "Energy Issues in Sustainable Urban Wastewater Management: Use, Demand Reduction and Recovery in the Urban Water Cycle," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    5. Geng, ZhiQiang & Dong, JunGen & Han, YongMing & Zhu, QunXiong, 2017. "Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes," Applied Energy, Elsevier, vol. 205(C), pages 465-476.
    6. Adam Masłoń & Joanna Czarnota & Paulina Szczyrba & Aleksandra Szaja & Joanna Szulżyk-Cieplak & Grzegorz Łagód, 2024. "Assessment of Energy Self-Sufficiency of Wastewater Treatment Plants—A Case Study from Poland," Energies, MDPI, vol. 17(5), pages 1-19, March.
    7. Capelo, Bernardo & Pérez-Sánchez, Modesto & Fernandes, João F.P. & Ramos, Helena M. & López-Jiménez, P. Amparo & Branco, P.J. Costa, 2017. "Electrical behaviour of the pump working as turbine in off grid operation," Applied Energy, Elsevier, vol. 208(C), pages 302-311.
    8. Salvatori, Simone & Benedetti, Miriam & Bonfà, Francesca & Introna, Vito & Ubertini, Stefano, 2018. "Inter-sectorial benchmarking of compressed air generation energy performance: Methodology based on real data gathering in large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 217(C), pages 266-280.
    9. Andrzej Greinert & Maria Mrówczyńska & Radosław Grech & Wojciech Szefner, 2020. "The Use of Plant Biomass Pellets for Energy Production by Combustion in Dedicated Furnaces," Energies, MDPI, vol. 13(2), pages 1-17, January.
    10. Mehdi Sharif Shourjeh & Przemysław Kowal & Jakub Drewnowski & Bartosz Szeląg & Aleksandra Szaja & Grzegorz Łagód, 2020. "Mutual Interaction between Temperature and DO Set Point on AOB and NOB Activity during Shortcut Nitrification in a Sequencing Batch Reactor in Terms of Energy Consumption Optimization," Energies, MDPI, vol. 13(21), pages 1-21, November.
    11. Jung-Kyu Lee & Dongho Hong & Hyunkyu Chae & Dong-Hoon Lee, 2023. "Prediction of Storage Conditions to Increase the Bioenergy Efficiency of Giant Miscanthus Pellets Produced through On-Site Integrated Pretreatment Machines," Energies, MDPI, vol. 16(5), pages 1-14, March.
    12. Nikolaos Tsalas & Spyridon K. Golfinopoulos & Stylianos Samios & Georgios Katsouras & Konstantinos Peroulis, 2024. "Optimization of Energy Consumption in a Wastewater Treatment Plant: An Overview," Energies, MDPI, vol. 17(12), pages 1-43, June.
    13. Rosa M. Llácer-Iglesias & P. Amparo López-Jiménez & Modesto Pérez-Sánchez, 2021. "Energy Self-Sufficiency Aiming for Sustainable Wastewater Systems: Are All Options Being Explored?," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    14. Macintosh, C. & Astals, S. & Sembera, C. & Ertl, A. & Drewes, J.E. & Jensen, P.D. & Koch, K., 2019. "Successful strategies for increasing energy self-sufficiency at Grüneck wastewater treatment plant in Germany by food waste co-digestion and improved aeration," Applied Energy, Elsevier, vol. 242(C), pages 797-808.
    15. Lam, Chor-Man & Leng, Ling & Chen, Pi-Cheng & Lee, Po-Heng & Hsu, Shu-Chien, 2017. "Eco-efficiency analysis of non-potable water systems in domestic buildings," Applied Energy, Elsevier, vol. 202(C), pages 293-307.
    16. Guven, Huseyin & Ersahin, Mustafa Evren & Dereli, Recep Kaan & Ozgun, Hale & Isik, Isa & Ozturk, Izzet, 2019. "Energy recovery potential of anaerobic digestion of excess sludge from high-rate activated sludge systems co-treating municipal wastewater and food waste," Energy, Elsevier, vol. 172(C), pages 1027-1036.
    17. Maurizio Volpe & Carmelo D'Anna & Simona Messineo & Roberto Volpe & Antonio Messineo, 2014. "Sustainable Production of Bio-Combustibles from Pyrolysis of Agro-Industrial Wastes," Sustainability, MDPI, vol. 6(11), pages 1-17, November.
    18. Benedetti, Miriam & Bonfa', Francesca & Bertini, Ilaria & Introna, Vito & Ubertini, Stefano, 2018. "Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 227(C), pages 436-448.
    19. Michela Gallo & Desara Malluta & Adriana Del Borghi & Erica Gagliano, 2024. "A Critical Review on Methodologies for the Energy Benchmarking of Wastewater Treatment Plants," Sustainability, MDPI, vol. 16(5), pages 1-18, February.
    20. Kirchem, Dana & Lynch, Muireann Á. & Bertsch, Valentin & Casey, Eoin, 2020. "Modelling demand response with process models and energy systems models: Potential applications for wastewater treatment within the energy-water nexus," Applied Energy, Elsevier, vol. 260(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3338-:d:378311. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.