IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v156y2015icp555-565.html
   My bibliography  Save this article

Optimal exergy control of building HVAC system

Author

Listed:
  • Razmara, M.
  • Maasoumy, M.
  • Shahbakhti, M.
  • Robinett, R.D.

Abstract

Exergy or availability is an accurate metric related to quality of energy and it is used to determine sustainability of an energy system. Exergy has been extensively used to evaluate efficiency of energy systems and energy conversion processes. An exergy model for a building is presented in this study. In this paper, exergy destruction, which indicates the loss of work potential, is formulated as a function of physical parameters of the building model and environment. To minimize exergy destruction in an Heating, Ventilation and Air-Conditioning (HVAC) system, we develop model predictive control (MPC) technique using the exergy model. Comparing to a traditional on–off controller for the building, the proposed exergy-based MPC (XMPC) reduces the exergy destruction and energy consumption up to 22% and 36%, respectively. Simulation results also indicate the advantage of XMPC over conventional energy-based MPC (EMPC). The results show that XMPC reduces exergy destruction by 4% compared to EMPC as well as saving 12% more energy.

Suggested Citation

  • Razmara, M. & Maasoumy, M. & Shahbakhti, M. & Robinett, R.D., 2015. "Optimal exergy control of building HVAC system," Applied Energy, Elsevier, vol. 156(C), pages 555-565.
    • Handle: RePEc:eee:appene:v:156:y:2015:i:c:p:555-565
    DOI: 10.1016/j.apenergy.2015.07.051
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915008806
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.07.051?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
    2. Žáčeková, Eva & Váňa, Zdeněk & Cigler, Jiří, 2014. "Towards the real-life implementation of MPC for an office building: Identification issues," Applied Energy, Elsevier, vol. 135(C), pages 53-62.
    3. Boait, P.J. & Rylatt, R.M. & Wright, A., 2007. "Exergy-based control of electricity demand and microgeneration," Applied Energy, Elsevier, vol. 84(3), pages 239-253, March.
    4. Meggers, Forrest & Ritter, Volker & Goffin, Philippe & Baetschmann, Marc & Leibundgut, Hansjürg, 2012. "Low exergy building systems implementation," Energy, Elsevier, vol. 41(1), pages 48-55.
    5. Yildiz, Abdullah & Güngör, Ali, 2009. "Energy and exergy analyses of space heating in buildings," Applied Energy, Elsevier, vol. 86(10), pages 1939-1948, October.
    6. Lowe, Robert, 2011. "Combined heat and power considered as a virtual steam cycle heat pump," Energy Policy, Elsevier, vol. 39(9), pages 5528-5534, September.
    7. Koca, Ahmet & Oztop, Hakan F. & Koyun, Tansel & Varol, Yasin, 2008. "Energy and exergy analysis of a latent heat storage system with phase change material for a solar collector," Renewable Energy, Elsevier, vol. 33(4), pages 567-574.
    8. Marcel Bruelisauer & Kian Wee Chen & Rupesh Iyengar & Hansjürg Leibundgut & Cheng Li & Mo Li & Matthias Mast & Forrest Meggers & Clayton Miller & Dino Rossi & Esmail M. Saber & Kwok Wai Tham & Arno Sc, 2013. "BubbleZERO—Design, Construction and Operation of a Transportable Research Laboratory for Low Exergy Building System Evaluation in the Tropics," Energies, MDPI, vol. 6(9), pages 1-21, September.
    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. Lork, Clement & Li, Wen-Tai & Qin, Yan & Zhou, Yuren & Yuen, Chau & Tushar, Wayes & Saha, Tapan K., 2020. "An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management," Applied Energy, Elsevier, vol. 276(C).
    2. Gokhale, Gargya & Claessens, Bert & Develder, Chris, 2022. "Physics informed neural networks for control oriented thermal modeling of buildings," Applied Energy, Elsevier, vol. 314(C).
    3. Georgios D. Kontes & Georgios I. Giannakis & Víctor Sánchez & Pablo De Agustin-Camacho & Ander Romero-Amorrortu & Natalia Panagiotidou & Dimitrios V. Rovas & Simone Steiger & Christopher Mutschler & G, 2018. "Simulation-Based Evaluation and Optimization of Control Strategies in Buildings," Energies, MDPI, vol. 11(12), pages 1-23, December.
    4. Gábor L. Szabó, 2020. "Thermo-Chemical Instability and Energy Analysis of Absorption Heat Pumps," Energies, MDPI, vol. 13(8), pages 1-13, April.
    5. Khodabakhshian, Mohammad & Feng, Lei & Börjesson, Stefan & Lindgärde, Olof & Wikander, Jan, 2017. "Reducing auxiliary energy consumption of heavy trucks by onboard prediction and real-time optimization," Applied Energy, Elsevier, vol. 188(C), pages 652-671.
    6. Gruber, Mattias & Trüschel, Anders & Dalenbäck, Jan-Olof, 2015. "Energy efficient climate control in office buildings without giving up implementability," Applied Energy, Elsevier, vol. 154(C), pages 934-943.
    7. Behl, Madhur & Smarra, Francesco & Mangharam, Rahul, 2016. "DR-Advisor: A data-driven demand response recommender system," Applied Energy, Elsevier, vol. 170(C), pages 30-46.
    8. Du, Zhimin & Jin, Xinqiao & Fang, Xing & Fan, Bo, 2016. "A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems," Applied Energy, Elsevier, vol. 183(C), pages 700-714.
    9. Michailidis, Iakovos T. & Schild, Thomas & Sangi, Roozbeh & Michailidis, Panagiotis & Korkas, Christos & Fütterer, Johannes & Müller, Dirk & Kosmatopoulos, Elias B., 2018. "Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study," Applied Energy, Elsevier, vol. 211(C), pages 113-125.
    10. Zhan, Sicheng & Chong, Adrian, 2021. "Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    11. Szabó, Gábor L. & Kalmár, Ferenc, 2019. "Investigation of energy and exergy performances of radiant cooling systems in buildings – A design approach," Energy, Elsevier, vol. 185(C), pages 449-462.
    12. Guo, Hongshan & Aviv, Dorit & Loyola, Mauricio & Teitelbaum, Eric & Houchois, Nicholas & Meggers, Forrest, 2020. "On the understanding of the mean radiant temperature within both the indoor and outdoor environment, a critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    13. Yang, Lei & Nagy, Zoltan & Goffin, Philippe & Schlueter, Arno, 2015. "Reinforcement learning for optimal control of low exergy buildings," Applied Energy, Elsevier, vol. 156(C), pages 577-586.
    14. Chen, Xiao & Wang, Qian & Srebric, Jelena, 2016. "Occupant feedback based model predictive control for thermal comfort and energy optimization: A chamber experimental evaluation," Applied Energy, Elsevier, vol. 164(C), pages 341-351.
    15. Sangi, Roozbeh & Müller, Dirk, 2019. "Application of the second law of thermodynamics to control: A review," Energy, Elsevier, vol. 174(C), pages 938-953.
    16. Sharif, M.K. Anuar & Al-Abidi, A.A. & Mat, S. & Sopian, K. & Ruslan, M.H. & Sulaiman, M.Y. & Rosli, M.A.M., 2015. "Review of the application of phase change material for heating and domestic hot water systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 557-568.
    17. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    18. Vallianos, Charalampos & Candanedo, José & Athienitis, Andreas, 2023. "Application of a large smart thermostat dataset for model calibration and Model Predictive Control implementation in the residential sector," Energy, Elsevier, vol. 278(PA).
    19. Zhang, Nan & Yuan, Yanping & Du, Yanxia & Cao, Xiaoling & Yuan, Yaguang, 2014. "Preparation and properties of palmitic-stearic acid eutectic mixture/expanded graphite composite as phase change material for energy storage," Energy, Elsevier, vol. 78(C), pages 950-956.
    20. Muhammad Fayaz & DoHyeun Kim, 2018. "Energy Consumption Optimization and User Comfort Management in Residential Buildings Using a Bat Algorithm and Fuzzy Logic," Energies, MDPI, vol. 11(1), pages 1-22, January.

    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:eee:appene:v:156:y:2015:i:c:p:555-565. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.