IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i11p1815-d118193.html
   My bibliography  Save this article

Robust Sliding Mode Control of Air Handling Unit for Energy Efficiency Enhancement

Author

Listed:
  • Awais Shah

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Deqing Huang

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Yixing Chen

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Xin Kang

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Na Qin

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

In order to achieve feasible and copacetic low energy consuming building, a robust and efficient air conditioning system is necessary. Since heating ventilation and air conditioning systems are nonlinear and temperature and humidity are coupled, application of conventional control is inappropriate. A multi-input multi-output nonlinear model is presented. The temperature and humidity of thermal zone are ascendance by the manipulation of the water and air flow rates. A sliding mode controller (SMC) is designed to ensure robust performance of air handling unit in the presence of uncertainties. A simple proportional-integral-derivative (PID) controller is used as a comparison template to highlight the efficiency of the proposed controller. To accomplish tracking targets, a variety of desired temperature and relative humidity commands (including ramp and combination with sequence of steps) are investigated. According to simulation results, SMC transcends the PID controller in terms of settling time, steady state and rise time, which makes SMC more energy efficient.

Suggested Citation

  • Awais Shah & Deqing Huang & Yixing Chen & Xin Kang & Na Qin, 2017. "Robust Sliding Mode Control of Air Handling Unit for Energy Efficiency Enhancement," Energies, MDPI, vol. 10(11), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1815-:d:118193
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/11/1815/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/11/1815/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Clemente García Cutillas & Javier Ruiz Ramírez & Manuel Lucas Miralles, 2017. "Optimum Design and Operation of an HVAC Cooling Tower for Energy and Water Conservation," Energies, MDPI, vol. 10(3), pages 1-27, March.
    2. Yaser Imad Alamin & María Del Mar Castilla & José Domingo Álvarez & Antonio Ruano, 2017. "An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building," Energies, MDPI, vol. 10(3), pages 1-18, March.
    3. Stefano De Antonellis & Manuel Intini & Cesare Maria Joppolo & Calogero Leone, 2014. "Design Optimization of Heat Wheels for Energy Recovery in HVAC Systems," Energies, MDPI, vol. 7(11), pages 1-20, November.
    4. Khan, Muhammad Waqas & Choudhry, Mohammad Ahmad & Zeeshan, Muhammad & Ali, Ahsan, 2015. "Adaptive fuzzy multivariable controller design based on genetic algorithm for an air handling unit," Energy, Elsevier, vol. 81(C), pages 477-488.
    5. Homod, Raad Z., 2014. "Assessment regarding energy saving and decoupling for different AHU (air handling unit) and control strategies in the hot-humid climatic region of Iraq," Energy, Elsevier, vol. 74(C), pages 762-774.
    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. Mpho J. Lencwe & SP Daniel Chowdhury & Sipho Mahlangu & Maxwell Sibanyoni & Louwrance Ngoma, 2021. "An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room," Energies, MDPI, vol. 14(16), pages 1-23, August.
    2. Kamal Rsetam & Mohammad Al-Rawi & Ahmed M. Al-Jumaily & Zhenwei Cao, 2023. "Finite Time Disturbance Observer Based on Air Conditioning System Control Scheme," Energies, MDPI, vol. 16(14), pages 1-28, July.
    3. Awais Shah & Deqing Huang & Tianpeng Huang & Umar Farid, 2018. "Optimization of BuildingsEnergy Consumption by Designing Sliding Mode Control for Multizone VAV Air Conditioning Systems," Energies, MDPI, vol. 11(11), pages 1-18, October.
    4. Ali Hamza & Muhammad Uneeb & Iftikhar Ahmad & Komal Saleem & Zunaib Ali, 2023. "Variable Structure-Based Control for Dynamic Temperature Setpoint Regulation in Hospital Extreme Healthcare Zones," Energies, MDPI, vol. 16(10), pages 1-27, May.

    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. Awais Shah & Deqing Huang & Tianpeng Huang & Umar Farid, 2018. "Optimization of BuildingsEnergy Consumption by Designing Sliding Mode Control for Multizone VAV Air Conditioning Systems," Energies, MDPI, vol. 11(11), pages 1-18, October.
    2. Leehter Yao & Jin-Hao Huang, 2019. "Multi-Objective Optimization of Energy Saving Control for Air Conditioning System in Data Center," Energies, MDPI, vol. 12(8), pages 1-16, April.
    3. Zbigniew Buryn & Anna Kuczuk & Janusz Pospolita & Rafał Smejda & Katarzyna Widera, 2021. "Impact of Weather Conditions on the Operation of Power Unit Cooling Towers 905 MWe," Energies, MDPI, vol. 14(19), pages 1-19, October.
    4. Homod, Raad Z., 2018. "Analysis and optimization of HVAC control systems based on energy and performance considerations for smart buildings," Renewable Energy, Elsevier, vol. 126(C), pages 49-64.
    5. Barth, Florian & Schüppler, Simon & Menberg, Kathrin & Blum, Philipp, 2023. "Estimating cooling capacities from aerial images using convolutional neural networks," Applied Energy, Elsevier, vol. 349(C).
    6. Giovanni Pau & Mario Collotta & Antonio Ruano & Jiahu Qin, 2017. "Smart Home Energy Management," Energies, MDPI, vol. 10(3), pages 1-5, March.
    7. Eloy Melian & Harald Klein & Nikolaus Thißen, 2021. "Economic Optimization of Rotary Heat Exchangers Using CO 2 Pricing Scenarios Based on Validated Fluid Dynamic and Thermodynamic-Based Simulation," Energies, MDPI, vol. 14(13), pages 1-19, July.
    8. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2019. "Adaptive full-range decoupled ventilation strategy and air-conditioning systems for cleanrooms and buildings requiring strict humidity control and their performance evaluation," Energy, Elsevier, vol. 168(C), pages 883-896.
    9. Homod, Raad Z. & Gaeid, Khalaf S. & Dawood, Suroor M. & Hatami, Alireza & Sahari, Khairul S., 2020. "Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings," Applied Energy, Elsevier, vol. 271(C).
    10. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
    11. García Vázquez, C.A. & Cotfas, D.T. & González Santos, A.I. & Cotfas, P.A. & León Ávila, B.Y., 2024. "Reduction of electricity consumption in an AHU using mathematical modelling for controller tuning," Energy, Elsevier, vol. 293(C).
    12. Homod, Raad Z. & Togun, Hussein & Ateeq, Adnan A. & Al-Mousawi, Fadhel Noraldeen & Yaseen, Zaher Mundher & Al-Kouz, Wael & Hussein, Ahmed Kadhim & Alawi, Omer A. & Goodarzi, Marjan & Ahmadi, Goodarz, 2022. "An innovative clustering technique to generate hybrid modeling of cooling coils for energy analysis: A case study for control performance in HVAC systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    13. Homod, Raad Z. & Togun, Hussein & Kadhim Hussein, Ahmed & Noraldeen Al-Mousawi, Fadhel & Yaseen, Zaher Mundher & Al-Kouz, Wael & Abd, Haider J. & Alawi, Omer A. & Goodarzi, Marjan & Hussein, Omar A., 2022. "Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings," Applied Energy, Elsevier, vol. 313(C).
    14. Humberto Verdejo & Rodrigo Torres & Victor Pino & Wolfgang Kliemann & Cristhian Becker & José Delpiano, 2019. "Tuning of Controllers in Power Systems Using a Heuristic-Stochastic Approach," Energies, MDPI, vol. 12(12), pages 1-25, June.
    15. Shahsavar, Amin & Khanmohammadi, Shoaib & Khaki, Mahsa & Salmanzadeh, Mazyar, 2018. "Performance assessment of an innovative exhaust air energy recovery system based on the PV/T-assisted thermal wheel," Energy, Elsevier, vol. 162(C), pages 682-696.
    16. Homod, Raad Z. & Munahi, Basil Sh. & Mohammed, Hayder Ibrahim & Albadr, Musatafa Abbas Abbood & Abderrahmane, AISSA & Mahdi, Jasim M. & Ben Hamida, Mohamed Bechir & Alhasnawi, Bilal Naji & Albahri, A., 2024. "Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings," Applied Energy, Elsevier, vol. 356(C).
    17. Badis Bakri & Hani Benguesmia & Ahmed Ketata & Slah Driss & Haythem Nasraoui & Zied Driss, 2024. "Enhancing Sustainable Development: Assessing a Solar Air Heater (SAH) Test Bench through Computational and Experimental Methods," Sustainability, MDPI, vol. 16(14), pages 1-19, July.
    18. Esmaeilzadeh, Ahmad & Deal, Brian & Yousefi-Koma, Aghil & Zakerzadeh, Mohammad Reza, 2023. "How combination of control methods and renewable energies leads a large commercial building to a zero-emission zone – A case study in U.S," Energy, Elsevier, vol. 263(PD).
    19. Wei Yuan & Fengzhong Sun & Ruqing Liu & Xuehong Chen & Ying Li, 2020. "The Effect of Air Parameters on the Evaporation Loss in a Natural Draft Counter-Flow Wet Cooling Tower," Energies, MDPI, vol. 13(23), pages 1-16, November.
    20. Liu, Peng & Justo Alonso, Maria & Mathisen, Hans Martin, 2023. "Global sensitivity analysis and optimal design of heat recovery ventilation for zero emission buildings," Applied Energy, Elsevier, vol. 329(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:10:y:2017:i:11:p:1815-:d:118193. 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.