IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i7p2480-d158201.html
   My bibliography  Save this article

Development of A BIM-Based Maintenance Decision-Making Framework for the Optimization between Energy Efficiency and Investment Costs

Author

Listed:
  • Jin-Up Kim

    (Department of Residential Construction, Lotte E&C, Seoul 06527, Korea)

  • Oussama A. Hadadi

    (Global Urban and Infrastructure Research Center, University of Seoul, Seoul 02504, Korea)

  • Hyunjoo Kim

    (Department of Global Construction, University of Seoul, Seoul 02504, Korea)

  • Jonghyeob Kim

    (Research and Development Center, PMPgM Co., Ltd., Seoul 02504, Korea)

Abstract

Eco-friendly materials have been developed recently that have made it possible to significantly reduce the maintenance cost of buildings when they are appropriately used in renovation. Indeed, it became extremely important to consider the eco-friendly energy-saving effects on design alternatives during renovation. The present study proposes a framework for the optimum maintenance decision-making model for considering eco-friendly energy to help people interested in making decisions concerning renovation; it requires that both the environmental friendliness and economic feasibility of the target building be simultaneously considered. Several studies mainly cover the structural aspects for energy improvements based on innovation and technology. However, energy simulation in existing buildings needs some additional consideration regarding the economic analysis of energy savings and the recovery period of construction costs. A case study was conducted as a research method by utilizing the proposed framework, which aims to: (1) make energy simulations with different basic design assumptions; (2) perform the energy simulations through building information modeling (BIM) technology; and (3) analyze the economic feasibility of the alternatives. As a result, an alternative combination that can save the net maximum energy cost during the life cycle period and invest the lowest renovation costs has been recommended. Furthermore, effective guidelines were proposed on which items the building owner values, depending on his economic investment conditions in decision-making regarding the level of design, through a comprehensive review of the energy savings by design variable. It is expected that the research findings will be utilized in the decision-making process and for conducting further relevant research in future.

Suggested Citation

  • Jin-Up Kim & Oussama A. Hadadi & Hyunjoo Kim & Jonghyeob Kim, 2018. "Development of A BIM-Based Maintenance Decision-Making Framework for the Optimization between Energy Efficiency and Investment Costs," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2480-:d:158201
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/7/2480/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/7/2480/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Seok-Hyun Kim & Kyung-Ju Shin & Bo-Eun Choi & Jae-Hun Jo & Soo Cho & Young-Hum Cho, 2015. "A Study on the Variation of Heating and Cooling Load According to the Use of Horizontal Shading and Venetian Blinds in Office Buildings in Korea," Energies, MDPI, vol. 8(2), pages 1-18, February.
    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. 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. He, Jigang & Gao, Hongli & Li, Shichao & Guo, Liang & Lei, Yuncong & Cao, Ao, 2024. "An intelligent maintenance decision-making based on cutters economic life," International Journal of Production Economics, Elsevier, vol. 267(C).
    3. Marcus Sandberg & Jani Mukkavaara & Farshid Shadram & Thomas Olofsson, 2019. "Multidisciplinary Optimization of Life-Cycle Energy and Cost Using a BIM-Based Master Model," Sustainability, MDPI, vol. 11(1), pages 1-19, January.
    4. Natalia Lasarte & Peru Elguezabal & Maialen Sagarna & Iñigo Leon & Juan Pedro Otaduy, 2021. "Challenges for Digitalisation in Building Renovation to Enhance the Efficiency of the Process: A Spanish Case Study," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    5. Thuy-Ninh Dao & Po-Han Chen & The-Quan Nguyen, 2020. "Enhancement of Mutual Recognition and Mobility of BIM Experts in ASEAN Countries," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    6. Zoran Pučko & Damjan Maučec & Nataša Šuman, 2020. "Energy and Cost Analysis of Building Envelope Components Using BIM: A Systematic Approach," Energies, MDPI, vol. 13(10), pages 1-24, May.
    7. Guofeng Ma & Ying Liu & Shanshan Shang, 2019. "A Building Information Model (BIM) and Artificial Neural Network (ANN) Based System for Personal Thermal Comfort Evaluation and Energy Efficient Design of Interior Space," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    8. Min Ho Shin & Hye Kyung Lee & Hwan Yong Kim, 2018. "Benefit–Cost Analysis of Building Information Modeling (BIM) in a Railway Site," Sustainability, MDPI, vol. 10(11), pages 1-10, November.
    9. 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.

    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. Soo Cho & Seok-Hyun Kim, 2017. "Analysis of the Performance of Vacuum Glazing in Office Buildings in Korea: Simulation and Experimental Studies," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    2. 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.
    3. 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.
    4. Aiman Mohammed & Muhammad Atiq Ur Rehman Tariq & Anne Wai Man Ng & Zeeshan Zaheer & Safwan Sadeq & Mahmood Mohammed & Hooman Mehdizadeh-Rad, 2022. "Reducing the Cooling Loads of Buildings Using Shading Devices: A Case Study in Darwin," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    5. Heangwoo Lee & Janghoo Seo, 2018. "Development of Window-Mounted Air Cap Roller Module," Energies, MDPI, vol. 11(7), pages 1-14, July.
    6. Ye Liu & Wanjiang Wang & Zixiao Li & Junkang Song & Zhicheng Fang & Dongbing Pang & Yanhui Chen, 2023. "Daylighting Performance and Thermal Comfort Performance Analysis of West-Facing External Shading for School Office Buildings in Cold and Severe Cold Regions of China," Sustainability, MDPI, vol. 15(19), pages 1-27, October.
    7. Kyung-joo Cho & Dong-woo Cho, 2018. "Solar Heat Gain Coefficient Analysis of a Slim-Type Double Skin Window System: Using an Experimental and a Simulation Method," Energies, MDPI, vol. 11(1), pages 1-17, January.
    8. Simona Moretti & Alvaro Marucci, 2019. "A Photovoltaic Greenhouse with Passive Variation in Shading by Fixed Horizontal PV Panels," Energies, MDPI, vol. 12(17), pages 1-18, August.
    9. Ahmed M. Abdel-Ghany & Pietro Picuno & Ibrahim Al-Helal & Abdullah Alsadon & Abdullah Ibrahim & Mohamed Shady, 2015. "Radiometric Characterization, Solar and Thermal Radiation in a Greenhouse as Affected by Shading Configuration in an Arid Climate," Energies, MDPI, vol. 8(12), pages 1-10, December.
    10. Vincenzo Dovì & Antonella Battaglini, 2015. "Energy Policy and Climate Change: A Multidisciplinary Approach to a Global Problem," Energies, MDPI, vol. 8(12), pages 1-8, November.

    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:10:y:2018:i:7:p:2480-:d:158201. 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.