IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p8861-d434594.html
   My bibliography  Save this article

BIM-Based Human Machine Interface (HMI) Framework for Energy Management

Author

Listed:
  • Taewook Kang

    (Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea)

Abstract

This study proposes a Building Information Modeling (BIM)-based Human Machine Interface (HMI) framework for intuitive space-based energy management. The BIM-based HMI supports building managers with a method of linking data between BIM and Building Energy Management System (BEMS), which are heterogeneous systems, and provides space-based real-time energy monitoring. This study also proposes a BIM and BEMS data linking framework for systematic BIM-based HMI development. Towards this end, the BIM-based HMI framework was defined after deriving the considerations and requirements necessary for linking the energy control point and BIM through a questionnaire designed by practitioners. Through case analysis, the authors implemented BIM-based HMI and analyzed its effects. The results of the analysis confirmed the positive effects (3.9/5.0) on the connectivity of BIM-based HMI, the benefits (4.3/5.0) for real-time data monitoring, the system function expandability, and the BIM-based spatial intuitiveness.

Suggested Citation

  • Taewook Kang, 2020. "BIM-Based Human Machine Interface (HMI) Framework for Energy Management," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8861-:d:434594
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/8861/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/21/8861/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yun-Yi Zhang & Kai Kang & Jia-Rui Lin & Jian-Ping Zhang & Yi Zhang, 2020. "Building information modeling–based cyber-physical platform for building performance monitoring," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
    2. Wang, Wei & Hong, Tianzhen & Li, Nan & Wang, Ryan Qi & Chen, Jiayu, 2019. "Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification," Applied Energy, Elsevier, vol. 236(C), pages 55-69.
    3. Younès Dagdougui & Ahmed Ouammi & Rachid Benchrifa, 2020. "Energy Management-Based Predictive Controller for a Smart Building Powered by Renewable Energy," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    4. Wen Pan & Kepa Iturralde & Thomas Bock & Roberto Garay Martinez & Olga Macias Juez & Pietro Finocchiaro, 2020. "A Conceptual Design of an Integrated Façade System to Reduce Embodied Energy in Residential Buildings," Sustainability, MDPI, vol. 12(14), pages 1-23, July.
    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. Gherboudj, Imen & Zorgati, Mohamed & Chamarthi, Phani-Kumar & Tuomiranta, Arttu & Mohandes, Baraa & Beegum, Naseema S. & Al-Sudairi, Jood & Al-Owain, Omar & Shibli, Hussain & El-Moursi, Mohamed & Ghed, 2021. "Renewable energy management system for Saudi Arabia: Methodology and preliminary results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    2. Nawal Abdunasseer Hmidah & Nuzul Azam Haron & Aidi Hizami Alias & Teik Hua Law & Abubaker Basheer Abdalwhab Altohami & Raja Ahmad Azmeer Raja Ahmad Effendi, 2022. "The Role of the Interface and Interface Management in the Optimization of BIM Multi-Model Applications: A Review," Sustainability, MDPI, vol. 14(3), pages 1-29, February.
    3. Tatjana Vilutienė & Rasa Džiugaitė-Tumėnienė & Diana Kalibatienė & Darius Kalibatas, 2021. "How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping," Energies, MDPI, vol. 14(20), pages 1-27, October.

    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. Abbas Rabiee & Ali Abdali & Seyed Masoud Mohseni-Bonab & Mohsen Hazrati, 2021. "Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    2. Wang, Zhe & Hong, Tianzhen, 2020. "Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    3. Barani, Mostafa & Vadlamudi, Vijay Venu & Farzin, Hossein, 2023. "Impact of cyber failures on operation and adequacy of Multi-Microgrid distribution systems," Applied Energy, Elsevier, vol. 348(C).
    4. Jiang, Feifeng & Ma, Jun & Li, Zheng & Ding, Yuexiong, 2022. "Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model," Energy, Elsevier, vol. 249(C).
    5. Darija Gajić & Slobodan Peulić & Tim Mavrič & Anna Sandak & Črtomir Tavzes & Milica Malešević & Mladen Slijepčević, 2021. "Energy Retrofitting Opportunities Using Renewable Materials—Comparative Analysis of the Current Frameworks in Bosnia-Herzegovina and Slovenia," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    6. Qu, Yue & Chen, Jiayu & Liu, Lifang & Xu, Tao & Wu, Huijun & Zhou, Xiaoqing, 2020. "Study on properties of phase change foam concrete block mixed with paraffin / fumed silica composite phase change material," Renewable Energy, Elsevier, vol. 150(C), pages 1127-1135.
    7. Trinadh Pamulapati & Muhammed Cavus & Ishioma Odigwe & Adib Allahham & Sara Walker & Damian Giaouris, 2022. "A Review of Microgrid Energy Management Strategies from the Energy Trilemma Perspective," Energies, MDPI, vol. 16(1), pages 1-34, December.
    8. Elsisi, Mahmoud & Amer, Mohammed & Dababat, Alya’ & Su, Chun-Lien, 2023. "A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation," Energy, Elsevier, vol. 281(C).
    9. Viljanen, A. & Lähtinen, K. & Kanninen, V. & Toppinen, A., 2023. "A tale of five cities: The role of municipalities in the market diffusion of wooden residential multistory construction and retrofits," Forest Policy and Economics, Elsevier, vol. 153(C).
    10. Bode, Gerrit & Schreiber, Thomas & Baranski, Marc & Müller, Dirk, 2019. "A time series clustering approach for Building Automation and Control Systems," Applied Energy, Elsevier, vol. 238(C), pages 1337-1345.
    11. Ibrahim Ali Kachalla & Christian Ghiaus, 2024. "Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions," Energies, MDPI, vol. 17(2), pages 1-32, January.
    12. Hang Liu & Yongcheng Wang & Shilin Nie & Yi Wang & Yu Chen, 2022. "Multistage Economic Scheduling Model of Micro-Energy Grids Considering Flexible Capacity Allocation," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    13. Varlamis, Iraklis & Sardianos, Christos & Chronis, Christos & Dimitrakopoulos, George & Himeur, Yassine & Alsalemi, Abdullah & Bensaali, Faycal & Amira, Abbes, 2022. "Smart fusion of sensor data and human feedback for personalized energy-saving recommendations," Applied Energy, Elsevier, vol. 305(C).
    14. Zhang, Sheng & Cheng, Yong & Liu, Jian & Lin, Zhang, 2019. "Subzone control optimization of air distribution for thermal comfort and energy efficiency under cooling load uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    15. Luo, Xiaoyuan & Wang, Xinyu & Zhang, Mingyue & Guan, Xinping, 2019. "Distributed detection and isolation of bias injection attack in smart energy grid via interval observer," Applied Energy, Elsevier, vol. 256(C).
    16. Jaewan Joe & Piljae Im & Jin Dong, 2020. "Empirical Modeling of Direct Expansion (DX) Cooling System for Multiple Research Use Cases," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    17. Isaías Gomes & Karol Bot & Maria Graça Ruano & António Ruano, 2022. "Recent Techniques Used in Home Energy Management Systems: A Review," Energies, MDPI, vol. 15(8), pages 1-41, April.
    18. Trang Thi Pham & Tsai-Chi Kuo & Ming-Lang Tseng & Raymond R. Tan & Kimhua Tan & Denny Satria Ika & Chiuhsiang Joe Lin, 2019. "Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    19. Deepu Krishnan & Scott Kelly & Yohan Kim, 2022. "A Meta-Analysis Review of Occupant Behaviour Models for Assessing Demand-Side Energy Consumption," Energies, MDPI, vol. 15(3), pages 1-23, February.
    20. Tianyi Chen & Yaning An & Chye Kiang Heng, 2022. "A Review of Building-Integrated Photovoltaics in Singapore: Status, Barriers, and Prospects," Sustainability, MDPI, vol. 14(16), pages 1-25, August.

    More about this item

    Keywords

    BIM; HMI; energy; management; BEMS;
    All these keywords.

    Statistics

    Access and download statistics

    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:jsusta:v:12:y:2020:i:21:p:8861-:d:434594. 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.