IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v40y2022i3p207-222.html
   My bibliography  Save this article

Monte Carlo simulation approach to understand the cost variance for energy retrofit projects: comparative study of Finland and the United States

Author

Listed:
  • Ming Hu
  • Eero Nippala
  • Kari Kallioharju
  • Sofie Pelsmakers

Abstract

Energy-efficient building is often characterised with higher construction costs. There is a large variance in energy-efficient building construction costs, especially in retrofit projects. A lack of understanding of cost variance and ambiguity of cost-optimal practices has impeded the adoption of energy retrofit practices globally. To respond to such a knowledge gap, a comparative study was conducted on energy retrofit projects on residential buildings in Finland and the United States. A Monte Carlo simulation was used to determine the coefficient of variation for construction costs and the potential reasons behind the variations. The specific aims of this study are (a) to gain a deeper understanding of construction cost variances in energy retrofit projects, (b) to identify the most influential cost items, and (c) to understand the correlations among different cost items. For this analysis, a database including 10 Finnish buildings and 7 US buildings was created, and actual construction cost data was collected. The results showed the following: (1) US projects had a larger total construction cost variance with highly skewed distribution, and Finnish energy retrofit projects had a cost distribution similar to conventional retrofit projects; (2) the two most significant construction cost factors for both countries were non-energy related cost items and the building envelope, rather than the mechanical system (heating and ventilation) as commonly perceived; and (3) the larger construction cost variance in the United States may be associated with the unfamiliarity of energy-efficient technologies and varied construction methods in different regions. The insights and suggestions derived from those findings are discussed in the conclusion.

Suggested Citation

  • Ming Hu & Eero Nippala & Kari Kallioharju & Sofie Pelsmakers, 2022. "Monte Carlo simulation approach to understand the cost variance for energy retrofit projects: comparative study of Finland and the United States," Construction Management and Economics, Taylor & Francis Journals, vol. 40(3), pages 207-222, March.
  • Handle: RePEc:taf:conmgt:v:40:y:2022:i:3:p:207-222
    DOI: 10.1080/01446193.2022.2034906
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01446193.2022.2034906
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01446193.2022.2034906?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria Psillaki & Nikolaos Apostolopoulos & Ilias Makris & Panagiotis Liargovas & Sotiris Apostolopoulos & Panos Dimitrakopoulos & George Sklias, 2023. "Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-21, January.

    More about this item

    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:taf:conmgt:v:40:y:2022:i:3:p:207-222. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    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.