IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v320y2022ics0306261922006535.html
   My bibliography  Save this article

Optimal controls of precooling strategies using switchable insulation systems for commercial buildings

Author

Listed:
  • Dehwah, Ammar H.A.
  • Krarti, Moncef

Abstract

In this paper, optimized controls to enhance the energy efficiency and demand response benefits of roof-integrated switchable insulation system combined with precooling strategies are evaluated for office buildings. A wide range of optimal cost functions are investigated to evaluate the total building energy saving as well as electrical peak demand shedding and shifting potentials. The results indicate that roof-integrated switchable insulation systems provide modest reductions even when optimally controlled of up to 5% and 4% savings in total building’s energy use and electrical peak demand during a peak day. However, when precooling strategies are integrated with roof switchable insulation systems, optimal controls can enhance the performance of office buildings by reducing total energy use by up to 19% and electrical peak demand by up to 34%. Moreover, the analysis presented in this study demonstrated that roof-integrated SIS combined with precooling strategies offer significant potential to shape the energy demand profiles for grid-interactive efficient building (GEB) applications when optimized controls are deployed.

Suggested Citation

  • Dehwah, Ammar H.A. & Krarti, Moncef, 2022. "Optimal controls of precooling strategies using switchable insulation systems for commercial buildings," Applied Energy, Elsevier, vol. 320(C).
  • Handle: RePEc:eee:appene:v:320:y:2022:i:c:s0306261922006535
    DOI: 10.1016/j.apenergy.2022.119298
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922006535
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2022.119298?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. Nelson, James & Johnson, Nathan G. & Chinimilli, Prudhvi Tej & Zhang, Wenlong, 2019. "Residential cooling using separated and coupled precooling and thermal energy storage strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    2. Favoino, Fabio & Jin, Qian & Overend, Mauro, 2017. "Design and control optimisation of adaptive insulation systems for office buildings. Part 1: Adaptive technologies and simulation framework," Energy, Elsevier, vol. 127(C), pages 301-309.
    3. Dehwah, Ammar H.A. & Krarti, Moncef, 2021. "Performance of precooling strategies using switchable insulation systems for commercial buildings," Applied Energy, Elsevier, vol. 303(C).
    4. Kimber, Mark & Clark, William W. & Schaefer, Laura, 2014. "Conceptual analysis and design of a partitioned multifunctional smart insulation," Applied Energy, Elsevier, vol. 114(C), pages 310-319.
    5. Luo, Yongqiang & Zhang, Ling & Bozlar, Michael & Liu, Zhongbing & Guo, Hongshan & Meggers, Forrest, 2019. "Active building envelope systems toward renewable and sustainable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 470-491.
    6. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    7. Pang, Zhihong & Chen, Yan & Zhang, Jian & O'Neill, Zheng & Cheng, Hwakong & Dong, Bing, 2020. "Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates," Applied Energy, Elsevier, vol. 279(C).
    8. Jin, Qian & Favoino, Fabio & Overend, Mauro, 2017. "Design and control optimisation of adaptive insulation systems for office buildings. Part 2: A parametric study for a temperate climate," Energy, Elsevier, vol. 127(C), pages 634-649.
    9. Ruan, Yingjun & Liu, Qingrong & Li, Zhengwei & Wu, Jiazheng, 2016. "Optimization and analysis of Building Combined Cooling, Heating and Power (BCHP) plants with chilled ice thermal storage system," Applied Energy, Elsevier, vol. 179(C), pages 738-754.
    10. Dehwah, Ammar H.A. & Krarti, Moncef, 2021. "Cost-benefit analysis of retrofitting attic-integrated switchable insulation systems of existing US residential buildings," Energy, Elsevier, vol. 221(C).
    11. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    12. Li, Xiwang & Malkawi, Ali, 2016. "Multi-objective optimization for thermal mass model predictive control in small and medium size commercial buildings under summer weather conditions," Energy, Elsevier, vol. 112(C), pages 1194-1206.
    13. Turner, W.J.N. & Walker, I.S. & Roux, J., 2015. "Peak load reductions: Electric load shifting with mechanical pre-cooling of residential buildings with low thermal mass," Energy, Elsevier, vol. 82(C), pages 1057-1067.
    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. Dehwah, Ammar H.A. & Krarti, Moncef, 2021. "Performance of precooling strategies using switchable insulation systems for commercial buildings," Applied Energy, Elsevier, vol. 303(C).
    2. Karanafti, Aikaterina & Theodosiou, Theodoros & Tsikaloudaki, Katerina, 2022. "Assessment of buildings’ dynamic thermal insulation technologies-A review," Applied Energy, Elsevier, vol. 326(C).
    3. Dehwah, Ammar H.A. & Krarti, Moncef, 2021. "Energy performance of integrated adaptive envelope systems for residential buildings," Energy, Elsevier, vol. 233(C).
    4. Zeng, Zhaoyun & Augenbroe, Godfried & Chen, Jianli, 2022. "Realization of bi-level optimization of adaptive building envelope with a finite-difference model featuring short execution time and versatility," Energy, Elsevier, vol. 243(C).
    5. Tyler R. Stevens & Nathan B. Crane & Rydge B. Mulford, 2023. "Topology Morphing Insulation: A Review of Technologies and Energy Performance in Dynamic Building Insulation," Energies, MDPI, vol. 16(19), pages 1-38, October.
    6. Miren Juaristi & Thaleia Konstantinou & Tomás Gómez-Acebo & Aurora Monge-Barrio, 2020. "Development and Validation of a Roadmap to Assist the Performance-Based Early-Stage Design Process of Adaptive Opaque Facades," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    7. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    8. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    9. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    10. Prada, A. & Gasparella, A. & Baggio, P., 2018. "On the performance of meta-models in building design optimization," Applied Energy, Elsevier, vol. 225(C), pages 814-826.
    11. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2017. "Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach," Energy, Elsevier, vol. 118(C), pages 999-1017.
    12. Wang, Junke & Yik Tang, Choon & Song, Li, 2022. "Analysis of precooling optimization for residential buildings," Applied Energy, Elsevier, vol. 323(C).
    13. Nelson, James & Johnson, Nathan G. & Chinimilli, Prudhvi Tej & Zhang, Wenlong, 2019. "Residential cooling using separated and coupled precooling and thermal energy storage strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    14. Pathomthat Chiradeja & Atthapol Ngaopitakkul, 2019. "Energy and Economic Analysis of Tropical Building Envelope Material in Compliance with Thailand’s Building Energy Code," Sustainability, MDPI, vol. 11(23), pages 1-23, December.
    15. Wijesuriya, Sajith & Brandt, Matthew & Tabares-Velasco, Paulo Cesar, 2018. "Parametric analysis of a residential building with phase change material (PCM)-enhanced drywall, precooling, and variable electric rates in a hot and dry climate," Applied Energy, Elsevier, vol. 222(C), pages 497-514.
    16. Tabares-Velasco, Paulo Cesar & Speake, Andrew & Harris, Maxwell & Newman, Alexandra & Vincent, Tyrone & Lanahan, Michael, 2019. "A modeling framework for optimization-based control of a residential building thermostat for time-of-use pricing," Applied Energy, Elsevier, vol. 242(C), pages 1346-1357.
    17. Yang, Yang & Chen, Sarula, 2022. "Thermal insulation solutions for opaque envelope of low-energy buildings: A systematic review of methods and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    18. Rudai Shan & Lars Junghans, 2023. "Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review," Sustainability, MDPI, vol. 15(21), pages 1-33, November.
    19. Simon Heslop & Baran Yildiz & Mike Roberts & Dong Chen & Tim Lau & Shayan Naderi & Anna Bruce & Iain MacGill & Renate Egan, 2022. "A Novel Temperature-Independent Model for Estimating the Cooling Energy in Residential Homes for Pre-Cooling and Solar Pre-Cooling," Energies, MDPI, vol. 15(23), pages 1-18, December.
    20. Tang, Hong & Wang, Shengwei & Li, Hangxin, 2021. "Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective," Energy, Elsevier, vol. 219(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:eee:appene:v:320:y:2022:i:c:s0306261922006535. 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.