IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i9p2375-d1650229.html
   My bibliography  Save this article

A Systematic Review of Sensitivity Analysis in Building Energy Modeling: Key Factors Influencing Building Thermal Energy Performance

Author

Listed:
  • Rajendra Roka

    (CERIS—Civil Engineering Research and Innovation for Sustainability, Civil Engineering Department, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

  • António Figueiredo

    (CERIS—Civil Engineering Research and Innovation for Sustainability, Civil Engineering Department, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

  • Ana Vieira

    (Geotechnics Department, National Laboratory for Civil Engineering, Av. do Brasil 101, 1700-075 Lisboa, Portugal)

  • Claudino Cardoso

    (CERIS—Civil Engineering Research and Innovation for Sustainability, Civil Engineering Department, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

Abstract

Improving building thermal energy performance is essential to reducing energy consumption, minimizing carbon emissions, and enhancing occupants’ thermal comfort. For this purpose, there is an increasing research interest in this field of building energy performance. This review aims to present a precise and systematic overview of the sensitivity analysis in optimizing the thermal energy performance of buildings. The investigation covers various aspects, including sensitivity analysis techniques, key measures and variables, objectives and criteria, software tools, optimization methods, climate zones, building typology, and climate change effects. The findings reveal that sensitivity analysis is a powerful technique for optimizing energy performance and identifying adaptive strategies such as dynamic shading, reflective coatings, and efficient HVAC set points to address climate change. Most of the study also highlights that the temperature set point is the key influential parameter in both heating-dominant and cooling-dominant climate zones. This review offers critical insights on advancing sustainable building design, informing policy, and guiding future research in energy-efficient building solutions.

Suggested Citation

  • Rajendra Roka & António Figueiredo & Ana Vieira & Claudino Cardoso, 2025. "A Systematic Review of Sensitivity Analysis in Building Energy Modeling: Key Factors Influencing Building Thermal Energy Performance," Energies, MDPI, vol. 18(9), pages 1-27, May.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2375-:d:1650229
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/9/2375/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/9/2375/
    Download Restriction: no
    ---><---

    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:jeners:v:18:y:2025:i:9:p:2375-:d:1650229. 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: 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.