IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v161y2022ics1364032122002921.html
   My bibliography  Save this article

Influence of interior layouts on occupant energy-saving behaviour in buildings: An integrated approach using Agent-Based Modelling, System Dynamics and Building Information Modelling

Author

Listed:
  • Uddin, Mohammad Nyme
  • Chi, Hung-Lin
  • Wei, His-Hsien
  • Lee, Minhyun
  • Ni, Meng

Abstract

Interior layouts of a building may influence the presence and movement of occupants, which can lead them to participate in a certain activity, energy-saving behaviour for instance, which occurs at a particular location within an indoor space. Moreover, rearranging this interior layout can help understanding how and why occupants use more energy and encourage their energy-saving behaviours through occupancy-based interventions. However, only a handful of studies have attempted to evaluate the effects of interior layout on the energy-saving behaviour of occupants. In light of this, this study offers a comprehensive modelling framework for investigating the influence of interior layouts on occupants' energy-saving behaviours by integrating Agent-Based Modelling (ABM), Systems Dynamics (SD), and Building Information Modelling (BIM). The occupant behaviour within this hybrid model is built based upon the theory of reasoned action. Moreover, while most of the ABM studies related to occupant behaviour are based on synthetic data, this study used real energy data collected from customized sensors to validate the proposed model. As a result, it has been shown that adjustment of interior layout (i.e., occupant intervention) can improve building energy performance by 14.9%. In terms of model validation, the proposed hybrid model has exhibited an acceptable level of accuracy with an average CV(RMSE) of 10.5%, MBE of 1.5%, and R2 of 0.77. This study differs from other existing studies in that it adopts an interior layout-based human behavioural investigation considering stochastic attitudes and subjective norms of occupants and provides a robust validation through empirical-based intervention.

Suggested Citation

  • Uddin, Mohammad Nyme & Chi, Hung-Lin & Wei, His-Hsien & Lee, Minhyun & Ni, Meng, 2022. "Influence of interior layouts on occupant energy-saving behaviour in buildings: An integrated approach using Agent-Based Modelling, System Dynamics and Building Information Modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122002921
    DOI: 10.1016/j.rser.2022.112382
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122002921
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2022.112382?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. Abanda, F.H. & Byers, L., 2016. "An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)," Energy, Elsevier, vol. 97(C), pages 517-527.
    2. Jia, Mengda & Srinivasan, Ravi S. & Raheem, Adeeba A., 2017. "From occupancy to occupant behavior: An analytical survey of data acquisition technologies, modeling methodologies and simulation coupling mechanisms for building energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 525-540.
    3. Delzendeh, Elham & Wu, Song & Lee, Angela & Zhou, Ying, 2017. "The impact of occupants’ behaviours on building energy analysis: A research review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1061-1071.
    4. Hwang Yi, 2020. "Visualized Co-Simulation of Adaptive Human Behavior and Dynamic Building Performance: An Agent-Based Model (ABM) and Artificial Intelligence (AI) Approach for Smart Architectural Design," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    5. Klessmann, Corinna & Held, Anne & Rathmann, Max & Ragwitz, Mario, 2011. "Status and perspectives of renewable energy policy and deployment in the European Union—What is needed to reach the 2020 targets?," Energy Policy, Elsevier, vol. 39(12), pages 7637-7657.
    6. Sebastian Strunz, Erik Gawel, and Paul Lehmann, 2015. "Towards a general Europeanization of EU Member States energy policies?," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    7. Kangas, Hanna-Liisa & Lazarevic, David & Kivimaa, Paula, 2018. "Technical skills, disinterest and non-functional regulation: Barriers to building energy efficiency in Finland viewed by energy service companies," Energy Policy, Elsevier, vol. 114(C), pages 63-76.
    8. Tiantian Du & Sabine Jansen & Michela Turrin & Andy van den Dobbelsteen, 2020. "Effects of Architectural Space Layouts on Energy Performance: A Review," Sustainability, MDPI, vol. 12(5), pages 1-23, February.
    9. Shi-Yi Song & Hong Leng, 2020. "Modeling the Household Electricity Usage Behavior and Energy-Saving Management in Severely Cold Regions," Energies, MDPI, vol. 13(21), pages 1-22, October.
    10. Qadeer Ali & Muhammad Jamaluddin Thaheem & Fahim Ullah & Samad M. E. Sepasgozar, 2020. "The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?," Energies, MDPI, vol. 13(6), pages 1-27, March.
    11. Germán Ramos Ruiz & Carlos Fernández Bandera, 2017. "Validation of Calibrated Energy Models: Common Errors," Energies, MDPI, vol. 10(10), pages 1-19, October.
    12. Wang, Huan & Chen, Wenying & Shi, Jingcheng, 2018. "Low carbon transition of global building sector under 2- and 1.5-degree targets," Applied Energy, Elsevier, vol. 222(C), pages 148-157.
    13. Anjos, Miguel F. & Vieira, Manuel V.C., 2017. "Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions," European Journal of Operational Research, Elsevier, vol. 261(1), pages 1-16.
    14. Soares, N. & Bastos, J. & Pereira, L. Dias & Soares, A. & Amaral, A.R. & Asadi, E. & Rodrigues, E. & Lamas, F.B. & Monteiro, H. & Lopes, M.A.R. & Gaspar, A.R., 2017. "A review on current advances in the energy and environmental performance of buildings towards a more sustainable built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 845-860.
    15. Gaetani, Isabella & Hoes, Pieter-Jan & Hensen, Jan L.M., 2018. "Estimating the influence of occupant behavior on building heating and cooling energy in one simulation run," Applied Energy, Elsevier, vol. 223(C), pages 159-171.
    16. Chen, Yixing & Hong, Tianzhen & Piette, Mary Ann, 2017. "Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis," Applied Energy, Elsevier, vol. 205(C), pages 323-335.
    17. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    18. Zhang, Kai & Zhao, Dongliang & Yin, Xiaobo & Yang, Ronggui & Tan, Gang, 2018. "Energy saving and economic analysis of a new hybrid radiative cooling system for single-family houses in the USA," Applied Energy, Elsevier, vol. 224(C), pages 371-381.
    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. Xu, Xiaoxiao & Yu, Hao & Sun, Qiuwen & Tam, Vivian W.Y., 2023. "A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Yan, Biao & Yang, Wansheng & He, Fuquan & Zeng, Wenhao, 2023. "Occupant behavior impact in buildings and the artificial intelligence-based techniques and data-driven approach solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

    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. Yan, Biao & Yang, Wansheng & He, Fuquan & Zeng, Wenhao, 2023. "Occupant behavior impact in buildings and the artificial intelligence-based techniques and data-driven approach solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    2. Abbasabadi, Narjes & Ashayeri, Mehdi & Azari, Rahman & Stephens, Brent & Heidarinejad, Mohammad, 2019. "An integrated data-driven framework for urban energy use modeling (UEUM)," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Aldubyan, Mohammad & Krarti, Moncef, 2022. "Impact of stay home living on energy demand of residential buildings: Saudi Arabian case study," Energy, Elsevier, vol. 238(PA).
    4. Ali Ghofrani & Esmat Zaidan & Mohsen Jafari, 2021. "Reshaping energy policy based on social and human dimensions: an analysis of human-building interactions among societies in transition in GCC countries," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-26, December.
    5. Bianchi, Carlo & Zhang, Liang & Goldwasser, David & Parker, Andrew & Horsey, Henry, 2020. "Modeling occupancy-driven building loads for large and diversified building stocks through the use of parametric schedules," Applied Energy, Elsevier, vol. 276(C).
    6. Piselli, Cristina & Pisello, Anna Laura, 2019. "Occupant behavior long-term continuous monitoring integrated to prediction models: Impact on office building energy performance," Energy, Elsevier, vol. 176(C), pages 667-681.
    7. Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
    8. Yang, Xiu'e & Liu, Shuli & Zou, Yuliang & Ji, Wenjie & Zhang, Qunli & Ahmed, Abdullahi & Han, Xiaojing & Shen, Yongliang & Zhang, Shaoliang, 2022. "Energy-saving potential prediction models for large-scale building: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    9. Paulína Šujanová & Monika Rychtáriková & Tiago Sotto Mayor & Affan Hyder, 2019. "A Healthy, Energy-Efficient and Comfortable Indoor Environment, a Review," Energies, MDPI, vol. 12(8), pages 1-37, April.
    10. Xu, Xiaoxiao & Yu, Hao & Sun, Qiuwen & Tam, Vivian W.Y., 2023. "A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    11. Walker, Shalika & Labeodan, Timilehin & Boxem, Gert & Maassen, Wim & Zeiler, Wim, 2018. "An assessment methodology of sustainable energy transition scenarios for realizing energy neutral neighborhoods," Applied Energy, Elsevier, vol. 228(C), pages 2346-2360.
    12. Salah Bouktif & Ali Ouni & Sanja Lazarova-Molnar, 2022. "Towards a Rigorous Consideration of Occupant Behaviours of Residential Households for Effective Electrical Energy Savings: An Overview," Energies, MDPI, vol. 15(5), pages 1-30, February.
    13. Jakob Carlander & Kristina Trygg & Bahram Moshfegh, 2019. "Integration of Measurements and Time Diaries as Complementary Measures to Improve Resolution of BES," Energies, MDPI, vol. 12(11), pages 1-29, May.
    14. Rouleau, Jean & Gosselin, Louis & Blanchet, Pierre, 2019. "Robustness of energy consumption and comfort in high-performance residential building with respect to occupant behavior," Energy, Elsevier, vol. 188(C).
    15. Kwan, Trevor Hocksun & Zhao, Bin & Liu, Jie & Pei, Gang, 2020. "Performance analysis of the sky radiative and thermoelectric hybrid cooling system," Energy, Elsevier, vol. 200(C).
    16. Wang, Xiaojun & Chen, Yiping & Chen, Jingjing & Mao, Bingjing & Peng, Lihong & Yu, Ang, 2022. "China's CO2 regional synergistic emission reduction: Killing two birds with one stone?," Energy Policy, Elsevier, vol. 168(C).
    17. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    18. Žižak, Tej & Domjan, Suzana & Medved, Sašo & Arkar, Ciril, 2022. "Efficiency and sustainability assessment of evaporative cooling of photovoltaics," Energy, Elsevier, vol. 254(PA).
    19. Martín Pensado-Mariño & Lara Febrero-Garrido & Pablo Eguía-Oller & Enrique Granada-Álvarez, 2021. "Feasibility of Different Weather Data Sources Applied to Building Indoor Temperature Estimation Using LSTM Neural Networks," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    20. Abdelhakim Mesloub & Aritra Ghosh & Mabrouk Touahmia & Ghazy Abdullah Albaqawy & Emad Noaime & Badr M. Alsolami, 2020. "Performance Analysis of Photovoltaic Integrated Shading Devices (PVSDs) and Semi-Transparent Photovoltaic (STPV) Devices Retrofitted to a Prototype Office Building in a Hot Desert Climate," Sustainability, MDPI, vol. 12(23), pages 1-17, December.

    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:rensus:v:161:y:2022:i:c:s1364032122002921. 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/600126/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.