IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i1p286-d195753.html
   My bibliography  Save this article

Multidisciplinary Optimization of Life-Cycle Energy and Cost Using a BIM-Based Master Model

Author

Listed:
  • Marcus Sandberg

    (Construction Management and Building Technology, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 971 87 Luleå, Sweden)

  • Jani Mukkavaara

    (Construction Management and Building Technology, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 971 87 Luleå, Sweden)

  • Farshid Shadram

    (Construction Management and Building Technology, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 971 87 Luleå, Sweden)

  • Thomas Olofsson

    (Construction Management and Building Technology, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 971 87 Luleå, Sweden)

Abstract

Virtual design tools and methods can aid in creating decision bases, but it is a challenge to balance all the trade-offs between different disciplines in building design. Optimization methods are at hand, but the question is how to connect and coordinate the updating of the domain models of each discipline and centralize the product definition into one source instead of having several unconnected product definitions. Building information modelling (BIM) features the idea of centralizing the product definition to a BIM-model and creating interoperability between models from different domains and previous research reports on different applications in a number of fields within construction. Recent research features BIM-based optimization, but there is still a question of knowing how to design a BIM-based process using neutral file formats to enable multidisciplinary optimization of life-cycle energy and cost. This paper proposes a framework for neutral BIM-based multidisciplinary optimization. The framework consists of (1) a centralized master model, from which different discipline-specific domain models are generated and evaluated; and (2) an optimization algorithm controlling the optimization loop. Based on the proposed framework, a prototype was developed and used in a case study of a Swedish multifamily residential building to test the framework’s applicability in generating and optimizing multiple models based on the BIM-model. The prototype was developed to enhance the building’s sustainability performance by optimizing the trade-off between the building’s life-cycle energy (LCE) and life-cycle cost (LCC) when choosing material for the envelope. The results of the case study demonstrated the applicability of the framework and prototype in optimizing the trade-off between conflicting objectives, such as LCE and LCC, during the design process.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:1:p:286-:d:195753
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/1/286/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/1/286/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tian Han & Qiong Huang & Anxiao Zhang & Qi Zhang, 2018. "Simulation-Based Decision Support Tools in the Early Design Stages of a Green Building—A Review," Sustainability, MDPI, vol. 10(10), pages 1-23, October.
    2. Han-Soo Ryu & Kyung-Soon Park, 2016. "A Study on the LEED Energy Simulation Process Using BIM," Sustainability, MDPI, vol. 8(2), pages 1-13, February.
    3. 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.
    4. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    5. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    6. Mohamad Monkiz Khasreen & Phillip F. G. Banfill & Gillian F. Menzies, 2009. "Life-Cycle Assessment and the Environmental Impact of Buildings: A Review," Sustainability, MDPI, vol. 1(3), pages 1-28, September.
    7. Sungwoo Lee & Sungho Tae & Seungjun Roh & Taehyung Kim, 2015. "Green Template for Life Cycle Assessment of Buildings Based on Building Information Modeling: Focus on Embodied Environmental Impact," Sustainability, MDPI, vol. 7(12), pages 1-15, December.
    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. Carlo Iapige De Gaetani & Andrea Macchi & Pasquale Perri, 2020. "Joint Analysis of Cost and Energy Savings for Preliminary Design Alternative Assessment," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    2. Zezhou Wu & Changhong Chen & Yuzhu Cai & Chen Lu & Hao Wang & Tao Yu, 2019. "BIM-Based Visualization Research in the Construction Industry: A Network Analysis," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    3. Oksana Marinina & Anna Nechitailo & Gennady Stroykov & Anna Tsvetkova & Ekaterina Reshneva & Liudmila Turovskaya, 2023. "Technical and Economic Assessment of Energy Efficiency of Electrification of Hydrocarbon Production Facilities in Underdeveloped Areas," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    4. Marko Jausovec & Metka Sitar, 2019. "Comparative Evaluation Model Framework for Cost-Optimal Evaluation of Prefabricated Lightweight System Envelopes in the Early Design Phase," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    5. Li, Clyde Zhengdao & Lai, Xulu & Xiao, Bing & Tam, Vivian W.Y. & Guo, Shan & Zhao, Yiyu, 2020. "A holistic review on life cycle energy of buildings: An analysis from 2009 to 2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(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. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    2. Razmi, Afshin & Rahbar, Morteza & Bemanian, Mohammadreza, 2022. "PCA-ANN integrated NSGA-III framework for dormitory building design optimization: Energy efficiency, daylight, and thermal comfort," Applied Energy, Elsevier, vol. 305(C).
    3. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    4. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    5. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    6. Østergård, Torben & Jensen, Rasmus Lund & Maagaard, Steffen Enersen, 2018. "A comparison of six metamodeling techniques applied to building performance simulations," Applied Energy, Elsevier, vol. 211(C), pages 89-103.
    7. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "A comparison of an energy/economic-based against an exergoeconomic-based multi-objective optimisation for low carbon building energy design," Energy, Elsevier, vol. 128(C), pages 244-263.
    8. Cristina Brunelli & Francesco Castellani & Alberto Garinei & Lorenzo Biondi & Marcello Marconi, 2016. "A Procedure to Perform Multi-Objective Optimization for Sustainable Design of Buildings," Energies, MDPI, vol. 9(11), pages 1-15, November.
    9. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    10. Alaia Sola & Cristina Corchero & Jaume Salom & Manel Sanmarti, 2018. "Simulation Tools to Build Urban-Scale Energy Models: A Review," Energies, MDPI, vol. 11(12), pages 1-24, November.
    11. Eleftheria Touloupaki & Theodoros Theodosiou, 2017. "Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review," Energies, MDPI, vol. 10(5), pages 1-18, May.
    12. Forde, Joe & Hopfe, Christina J. & McLeod, Robert S. & Evins, Ralph, 2020. "Temporal optimization for affordable and resilient Passivhaus dwellings in the social housing sector," Applied Energy, Elsevier, vol. 261(C).
    13. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    14. Prada, A. & Gasparella, A. & Baggio, P., 2018. "On the performance of meta-models in building design optimization," Applied Energy, Elsevier, vol. 225(C), pages 814-826.
    15. Jozef Mitterpach & Emília Hroncová & Juraj Ladomerský & Jozef Štefko, 2016. "Quantification of Improvement in Environmental Quality for Old Residential Buildings Using Life Cycle Assessment," Sustainability, MDPI, vol. 8(12), pages 1-12, December.
    16. 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.
    17. Karmellos, M. & Kiprakis, A. & Mavrotas, G., 2015. "A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies," Applied Energy, Elsevier, vol. 139(C), pages 131-150.
    18. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    19. Li, Hong Xian & Li, Yan & Jiang, Boya & Zhang, Limao & Wu, Xianguo & Lin, Jingyi, 2020. "Energy performance optimisation of building envelope retrofit through integrated orthogonal arrays with data envelopment analysis," Renewable Energy, Elsevier, vol. 149(C), pages 1414-1423.
    20. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Napolitano, Davide Ferdinando, 2019. "Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness," Applied Energy, Elsevier, vol. 254(C).

    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:11:y:2019:i:1:p:286-:d:195753. 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.