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Evaluating Social Housing Retrofit Options to Support Clients’ Decision Making—SIMPLER BIM Protocol

Author

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  • Patricia Tzortzopoulos

    (School of Art, Design and Architecture, University of Huddersfield, Huddersfield HD1 3DH, UK)

  • Ling Ma

    (The Bartlett School of Construction and Project Management, Faculty of the Built Environment; London’s Global University, London WC1H 0QB, UK)

  • João Soliman Junior

    (School of Art, Design and Architecture, University of Huddersfield, Huddersfield HD1 3DH, UK)

  • Lauri Koskela

    (School of Art, Design and Architecture, University of Huddersfield, Huddersfield HD1 3DH, UK)

Abstract

The UK government made significant commitments to upgrading the energy efficiency of seven million British homes by 2020, aiming at reducing carbon emissions and addressing fuel poverty. One alternative to achieve better energy performance in existing houses is retrofit. However, there are difficulties associated with retrofitting social housing. It is currently challenging to compare scenarios (retrofit options) considering costs, potential energy efficiency gains, and at the same time minimising disruption to users. This paper presents a Building Information Modelling (BIM) protocol aimed to support decision making by social housing owners. It adopts BIM to simulate alternative retrofit options, considering: (a) potential reductions in energy consumption, (b) 4D BIM for retrofit planning and reduction of users’ disruption and (c) simulation of costs. A what-if scenario matrix is proposed to support decision making in the selection of social housing retrofit solutions, according to client and users’ needs. A case study of the retrofit of a mid-terrace house is presented to demonstrate the workflow. The main output of the work is the BIM protocol, which can support client decision making in diverse social housing retrofit projects, considering all three elements (energy simulation, planning for reduced disruption and cost estimation) in an integrated fashion. Such an integrated approach enables clients to make better informed decisions considering diverse social housing retrofit options through a simple process using readily available BIM technology.

Suggested Citation

  • Patricia Tzortzopoulos & Ling Ma & João Soliman Junior & Lauri Koskela, 2019. "Evaluating Social Housing Retrofit Options to Support Clients’ Decision Making—SIMPLER BIM Protocol," Sustainability, MDPI, vol. 11(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2507-:d:227087
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    References listed on IDEAS

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    1. Sanhudo, Luís & Ramos, Nuno M.M. & Poças Martins, João & Almeida, Ricardo M.S.F. & Barreira, Eva & Simões, M. Lurdes & Cardoso, Vítor, 2018. "Building information modeling for energy retrofitting – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 249-260.
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    Cited by:

    1. Maria Conceição da Costa Silva & Alyx Diêgo Oliveira Silva & Emilia Rahnemay Kohlman Rabbani & Luciana H. Alencar & George da Mota Passos Neto & João Pedro Couto & Rodolfo Valdes-Vasquez, 2022. "Guidelines for the Implementation of BIM for Post-Occupancy Management of Social Housing in Brazil," Energies, MDPI, vol. 15(18), pages 1-20, September.
    2. Ibukun O. Famakin & Idris Othman & Ahmed Farouk Kineber & Ayodeji Emmanuel Oke & Oludolapo Ibrahim Olanrewaju & Mohammed Magdy Hamed & Taiwo Matthew Olayemi, 2023. "Building Information Modeling Execution Drivers for Sustainable Building Developments," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    3. Giuseppe Desogus & Emanuela Quaquero & Giulia Rubiu & Gianluca Gatto & Cristian Perra, 2021. "BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    4. Ki Pyung Kim & Rob Freda & Tan Hai Dang Nguyen, 2020. "Building Information Modelling Feasibility Study for Building Surveying," Sustainability, MDPI, vol. 12(11), pages 1-19, June.

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