IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v145y2015icp43-51.html
   My bibliography  Save this article

Control strategies for intelligent glazed façade and their influence on energy and comfort performance of office buildings in Denmark

Author

Listed:
  • Liu, Mingzhe
  • Wittchen, Kim Bjarne
  • Heiselberg, Per Kvols

Abstract

The research aims to develop control strategies for intelligent glazed façades and investigate the influence of different control strategies on energy and comfort performance in office buildings. The intelligent glazed façade is capable of controlling the thermal, solar and mass transmittance by controlling shutters, blinds and openings. The façade and building services are designed and controlled holistically to optimize the indoor comfort (thermal, visual comfort and indoor air quality) and minimize the energy demand by heating, cooling, lighting and ventilation. The study is conducted numerically utilising a simplified hourly calculation method developed to calculate yearly energy and comfort performance of an office room equipped with an intelligent façade. The simplified method is verified by the Danish dynamic building simulation tool BSim and experimental test in a full scale test facility at Aalborg University (Cube).

Suggested Citation

  • Liu, Mingzhe & Wittchen, Kim Bjarne & Heiselberg, Per Kvols, 2015. "Control strategies for intelligent glazed façade and their influence on energy and comfort performance of office buildings in Denmark," Applied Energy, Elsevier, vol. 145(C), pages 43-51.
    • Handle: RePEc:eee:appene:v:145:y:2015:i:c:p:43-51
    DOI: 10.1016/j.apenergy.2015.02.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915000951
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.02.003?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. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
    2. Chan, A.L.S., 2012. "Effect of adjacent shading on the thermal performance of residential buildings in a subtropical region," Applied Energy, Elsevier, vol. 92(C), pages 516-522.
    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. Webb, Matthew & Aye, Lu & Green, Ray, 2018. "Simulation of a biomimetic façade using TRNSYS," Applied Energy, Elsevier, vol. 213(C), pages 670-694.
    2. Huebner, Gesche M. & Hamilton, Ian & Chalabi, Zaid & Shipworth, David & Oreszczyn, Tadj, 2015. "Explaining domestic energy consumption – The comparative contribution of building factors, socio-demographics, behaviours and attitudes," Applied Energy, Elsevier, vol. 159(C), pages 589-600.
    3. Ángel Gómez-Moreno & Pedro José Casanova-Peláez & José Manuel Palomar-Carnicero & Fernando Cruz-Peragón, 2016. "Modeling and Experimental Validation of a Low-Cost Radiation Sensor Based on the Photovoltaic Effect for Building Applications," Energies, MDPI, vol. 9(11), pages 1-16, November.
    4. Congedo, Paolo Maria & Baglivo, Cristina & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal design for nearly zero energy office buildings located in warm climates," Energy, Elsevier, vol. 91(C), pages 967-982.
    5. Xie, Jing Chao & Xue, Peng & Mak, Cheuk Ming & Liu, Jia Ping, 2017. "Balancing energy and daylighting performances for envelope design: A new index and proposition of a case study in Hong Kong," Applied Energy, Elsevier, vol. 205(C), pages 13-22.
    6. Pinto, Maria Cristina & Crespi, Giulia & Dell'Anna, Federico & Becchio, Cristina, 2023. "Combining energy dynamic simulation and multi-criteria analysis for supporting investment decisions on smart shading devices in office buildings," Applied Energy, Elsevier, vol. 332(C).
    7. Kirimtat, Ayca & Koyunbaba, Basak Kundakci & Chatzikonstantinou, Ioannis & Sariyildiz, Sevil, 2016. "Review of simulation modeling for shading devices in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 23-49.
    8. Bui, Dac-Khuong & Nguyen, Tuan Ngoc & Ghazlan, Abdallah & Ngo, Ngoc-Tri & Ngo, Tuan Duc, 2020. "Enhancing building energy efficiency by adaptive façade: A computational optimization approach," Applied Energy, Elsevier, vol. 265(C).
    9. Bustamante, Waldo & Uribe, Daniel & Vera, Sergio & Molina, Germán, 2017. "An integrated thermal and lighting simulation tool to support the design process of complex fenestration systems for office buildings," Applied Energy, Elsevier, vol. 198(C), pages 36-48.
    10. Ramkishore Singh & Dharam Buddhi & Samar Thapa & Chander Prakash & Rajesh Singh & Atul Sharma & Shane Sheoran & Kuldeep Kumar Saxena, 2022. "Sensitivity Analysis for Decisive Design Parameters for Energy and Indoor Visual Performances of a Glazed Façade Office Building," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    11. Wu, Yujie & Kämpf, Jérôme H. & Scartezzini, Jean-Louis, 2019. "Automated ‘Eye-sight’ Venetian blinds based on an embedded photometric device with real-time daylighting computing," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    12. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2015. "Effect of internal woven roller shade and glazing on the energy and daylighting performances of an office building in the cold climate of Shillong," Applied Energy, Elsevier, vol. 159(C), pages 317-333.
    13. Ahn, Jonghoon & Cho, Soolyeon, 2017. "Anti-logic or common sense that can hinder machine’s energy performance: Energy and comfort control models based on artificial intelligence responding to abnormal indoor environments," Applied Energy, Elsevier, vol. 204(C), pages 117-130.
    14. 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.
    15. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.
    16. Omrany, Hossein & Ghaffarianhoseini, Ali & Ghaffarianhoseini, Amirhosein & Raahemifar, Kaamran & Tookey, John, 2016. "Application of passive wall systems for improving the energy efficiency in buildings: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1252-1269.
    17. Korkas, Christos D. & Baldi, Simone & Michailidis, Iakovos & Kosmatopoulos, Elias B., 2016. "Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage," Applied Energy, Elsevier, vol. 163(C), pages 93-104.
    18. 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).
    19. Baldi, Simone & Zhang, Fan & Le Quang, Thuan & Endel, Petr & Holub, Ondrej, 2019. "Passive versus active learning in operation and adaptive maintenance of Heating, Ventilation, and Air Conditioning," Applied Energy, Elsevier, vol. 252(C), pages 1-1.

    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. Souayfane, Farah & Biwole, Pascal Henry & Fardoun, Farouk, 2018. "Thermal behavior of a translucent superinsulated latent heat energy storage wall in summertime," Applied Energy, Elsevier, vol. 217(C), pages 390-408.
    2. Dong Eun Jung & Chanuk Lee & Kwang Ho Lee & Minjae Shin & Sung Lok Do, 2021. "Evaluation of Building Energy Performance with Optimal Control of Movable Shading Device Integrated with PV System," Energies, MDPI, vol. 14(7), pages 1-21, March.
    3. Wang, Y. & Mauree, D. & Sun, Q. & Lin, H. & Scartezzini, J.L. & Wennersten, R., 2020. "A review of approaches to low-carbon transition of high-rise residential buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    4. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    5. Małgorzata Fedorczak-Cisak & Katarzyna Nowak & Marcin Furtak, 2019. "Analysis of the Effect of Using External Venetian Blinds on the Thermal Comfort of Users of Highly Glazed Office Rooms in a Transition Season of Temperate Climate—Case Study," Energies, MDPI, vol. 13(1), pages 1-18, December.
    6. Sara Brito-Coimbra & Daniel Aelenei & Maria Gloria Gomes & Antonio Moret Rodrigues, 2021. "Building Façade Retrofit with Solar Passive Technologies: A Literature Review," Energies, MDPI, vol. 14(6), pages 1-18, March.
    7. Kirimtat, Ayca & Koyunbaba, Basak Kundakci & Chatzikonstantinou, Ioannis & Sariyildiz, Sevil, 2016. "Review of simulation modeling for shading devices in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 23-49.
    8. Bessa, Vanessa M.T. & Prado, Racine T.A., 2015. "Reduction of carbon dioxide emissions by solar water heating systems and passive technologies in social housing," Energy Policy, Elsevier, vol. 83(C), pages 138-150.
    9. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    10. Chi, Fang'ai & Zhang, Jianxun & Li, Gaomei & Zhu, Zongzhou & Bart, Dewancker, 2019. "An investigation of the impact of Building Azimuth on energy consumption in sizhai traditional dwellings," Energy, Elsevier, vol. 180(C), pages 594-614.
    11. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.
    12. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
    13. Ihara, Takeshi & Gao, Tao & Grynning, Steinar & Jelle, Bjørn Petter & Gustavsen, Arild, 2015. "Aerogel granulate glazing facades and their application potential from an energy saving perspective," Applied Energy, Elsevier, vol. 142(C), pages 179-191.
    14. Yingjie Jiang & Changguang Wu & Mingjun Teng, 2020. "Impact of Residential Building Layouts on Microclimate in a High Temperature and High Humidity Region," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    15. Yuanyuan Li & Qiang Chen & Qianhao Cheng & Kangning Li & Beilei Cao & Yixiao Huang, 2022. "Evaluating the Influence of Different Layouts of Residential Buildings on the Urban Thermal Environment," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    16. Ihara, Takeshi & Gustavsen, Arild & Jelle, Bjørn Petter, 2015. "Effect of facade components on energy efficiency in office buildings," Applied Energy, Elsevier, vol. 158(C), pages 422-432.
    17. Ángel Gómez-Moreno & Pedro José Casanova-Peláez & José Manuel Palomar-Carnicero & Fernando Cruz-Peragón, 2016. "Modeling and Experimental Validation of a Low-Cost Radiation Sensor Based on the Photovoltaic Effect for Building Applications," Energies, MDPI, vol. 9(11), pages 1-16, November.
    18. Wang, C. & Zhu, Y. & Qu, J. & Hu, H.D., 2018. "Automatic air temperature control in a container with an optic-variable wall," Applied Energy, Elsevier, vol. 224(C), pages 671-681.
    19. Byungyun Lee, 2019. "Heating, Cooling, and Lighting Energy Demand Simulation Analysis of Kinetic Shading Devices with Automatic Dimming Control for Asian Countries," Sustainability, MDPI, vol. 11(5), pages 1-20, February.
    20. Hu, Zhongting & He, Wei & Hu, Dengyun & Lv, Song & Wang, Liping & Ji, Jie & Chen, Hongbing & Ma, Jinwei, 2017. "Design, construction and performance testing of a PV blind-integrated Trombe wall module," Applied Energy, Elsevier, vol. 203(C), pages 643-656.

    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:145:y:2015:i:c:p:43-51. 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.