IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i14p5584-d1201537.html
   My bibliography  Save this article

The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors

Author

Listed:
  • Michał Markiewicz

    (Faculty of Mathematics and Computer Science, Jagiellonian University, ul. prof. Stanisława Łojasiewicza 6, 30-348 Cracow, Poland
    Atner Sp. z o.o., ul. Podole 60, 30-394 Cracow, Poland)

  • Aleksander Skała

    (Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland)

  • Jakub Grela

    (Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland)

  • Szymon Janusz

    (Atner Sp. z o.o., ul. Podole 60, 30-394 Cracow, Poland)

  • Tadeusz Stasiak

    (Honeywell Sp. z o.o., ul. Domaniewska 39, 02-672 Warsaw, Poland)

  • Dominik Latoń

    (Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland)

  • Andrzej Bielecki

    (Chair of Applied Computer Science, Faculty of Electrical Engineering, Automation, Computer Science and Biomedical Engineering, AGH University of Kraków, 30-059 Cracow, Poland)

  • Katarzyna Bańczyk

    (Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland)

Abstract

The energy consumption of buildings is a significant contributor to overall energy consumption in developed countries. Therefore, there is great demand for intelligent buildings in which energy consumption is optimized. Online control is a crucial aspect of such optimization. The implementation of modern algorithms that take advantage of developments in information technology, artificial intelligence, machine learning, sensors, and the Internet of Things (IoT) is used in this context. In this paper, an architecture for testing central heating control algorithms as well as the control algorithms of the heating system of the building is presented. In particular, evaluation metrics, the method for seamless integration, and the mechanism for real-time performance monitoring and control are put forward. The proposed tools have been successfully tested in a residential building, and the conducted tests confirmed the efficiency of the proposed solution.

Suggested Citation

  • Michał Markiewicz & Aleksander Skała & Jakub Grela & Szymon Janusz & Tadeusz Stasiak & Dominik Latoń & Andrzej Bielecki & Katarzyna Bańczyk, 2023. "The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors," Energies, MDPI, vol. 16(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5584-:d:1201537
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/14/5584/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/14/5584/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Farinaz Behrooz & Norman Mariun & Mohammad Hamiruce Marhaban & Mohd Amran Mohd Radzi & Abdul Rahman Ramli, 2018. "Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps," Energies, MDPI, vol. 11(3), pages 1-41, February.
    2. Rolf Golombek & Sverre Kittelsen & Ingjerd Haddeland, 2012. "Climate change: impacts on electricity markets in Western Europe," Climatic Change, Springer, vol. 113(2), pages 357-370, July.
    Full references (including those not matched with items on IDEAS)

    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. Panagiotis Michailidis & Iakovos Michailidis & Dimitrios Vamvakas & Elias Kosmatopoulos, 2023. "Model-Free HVAC Control in Buildings: A Review," Energies, MDPI, vol. 16(20), pages 1-45, October.
    2. Anass Berouine & Radouane Ouladsine & Mohamed Bakhouya & Mohamed Essaaidi, 2020. "Towards a Real-Time Predictive Management Approach of Indoor Air Quality in Energy-Efficient Buildings," Energies, MDPI, vol. 13(12), pages 1-16, June.
    3. Rafiq Asghar & Francesco Riganti Fulginei & Hamid Wadood & Sarmad Saeed, 2023. "A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
    4. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    5. Finn Roar Aune and Rolf Golombek, 2021. "Are Carbon Prices Redundant in the 2030 EU Climate and Energy Policy Package?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 225-264.
    6. Jonas Savelsberg & Moritz Schillinger & Ingmar Schlecht & Hannes Weigt, 2018. "The Impact of Climate Change on Swiss Hydropower," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    7. Teotónio, Carla & Fortes, Patrícia & Roebeling, Peter & Rodriguez, Miguel & Robaina-Alves, Margarita, 2017. "Assessing the impacts of climate change on hydropower generation and the power sector in Portugal: A partial equilibrium approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 788-799.
    8. Anh Tuan Phan & Thi Tuyet Hong Vu & Dinh Quang Nguyen & Eleonora Riva Sanseverino & Hang Thi-Thuy Le & Van Cong Bui, 2022. "Data Compensation with Gaussian Processes Regression: Application in Smart Building’s Sensor Network," Energies, MDPI, vol. 15(23), pages 1-16, December.
    9. Tayyaba Nosheen & Ahsan Ali & Muhammad Umar Chaudhry & Dmitry Nazarenko & Inam ul Hasan Shaikh & Vadim Bolshev & Muhammad Munwar Iqbal & Sohail Khalid & Vladimir Panchenko, 2023. "A Fractional Order Controller for Sensorless Speed Control of an Induction Motor," Energies, MDPI, vol. 16(4), pages 1-15, February.
    10. Anuja Shaktawat & Shelly Vadhera, 2021. "Risk management of hydropower projects for sustainable development: a review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 45-76, January.
    11. Serafín Alonso & Antonio Morán & Miguel Ángel Prada & Perfecto Reguera & Juan José Fuertes & Manuel Domínguez, 2019. "A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study," Energies, MDPI, vol. 12(5), pages 1-28, March.
    12. Haddeland, I. & Hole, J. & Holmqvist, E. & Koestler, V. & Sidelnikova, M. & Veie, C.A. & Wold, M., 2022. "Effects of climate on renewable energy sources and electricity supply in Norway," Renewable Energy, Elsevier, vol. 196(C), pages 625-637.
    13. Pechan, Anna & Eisenack, Klaus, 2014. "The impact of heat waves on electricity spot markets," Energy Economics, Elsevier, vol. 43(C), pages 63-71.
    14. Geoffrey J. Blanford & Christoph Weissbart, 2019. "A Framework for Modeling the Dynamics of Power Markets – The EU-REGEN Model," ifo Working Paper Series 307, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    15. Jiapeng Yan & Huifang Kong & Zhihong Man, 2022. "Recurrent Neural Network-Based Nonlinear Optimization for Braking Control of Electric Vehicles," Energies, MDPI, vol. 15(24), pages 1-17, December.
    16. Moudgil, Vipul & Hewage, Kasun & Hussain, Syed Asad & Sadiq, Rehan, 2023. "Integration of IoT in building energy infrastructure: A critical review on challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    17. Halhoul Merabet, Ghezlane & Essaaidi, Mohamed & Ben Haddou, Mohamed & Qolomany, Basheer & Qadir, Junaid & Anan, Muhammad & Al-Fuqaha, Ala & Abid, Mohamed Riduan & Benhaddou, Driss, 2021. "Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    18. Rao, Sandeep & Koirala, Santosh & Thapa, Chandra & Neupane, Suman, 2022. "When rain matters! Investments and value relevance," Journal of Corporate Finance, Elsevier, vol. 73(C).
    19. Monjazeb, Mohammad Reza & Amiri, Hossein & Movahedi, Akram, 2024. "Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method," Energy, Elsevier, vol. 290(C).
    20. Amal Azzi & Mohamed Tabaa & Badr Chegari & Hanaa Hachimi, 2024. "Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort," Sustainability, MDPI, vol. 16(5), pages 1-36, March.

    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:16:y:2023:i:14:p:5584-:d:1201537. 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.