2020
DOI: 10.1177/1744259120901840
|View full text |Cite
|
Sign up to set email alerts
|

Coupling building energy simulation and computational fluid dynamics: An overview

Abstract: Building energy simulations coupled with computational fluid dynamics tools have emerged, recently, as an accurate and effective tool to improve the estimation of energy requirements and thermal comfort in buildings. Building modelers and researchers usually implement this coupling in the boundary conditions of both tools (e.g. surface temperature, ambient temperature, and conductive and convective fluxes). This work reviews how the building energy simulation–computational fluid dynamics coupling has evolved s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1
1

Relationship

1
9

Authors

Journals

citations
Cited by 18 publications
(5 citation statements)
references
References 71 publications
0
4
0
Order By: Relevance
“…Since the time scale of transport in the air subdomain is much smaller than that in the building materials, it is assumed that the solution of the air subdomain remains constant during the transient simulation in the building subdomain (Saneinejad et al, 2014). Information is exchanged at the coupled boundaries at every exchange timestep, similar to the quasi-dynamic coupling mentioned in Rodrı´guez-Va´zquez et al (2020). The exchange timestep is set to 10 min in this study.…”
Section: Coupling Approachmentioning
confidence: 99%
“…Since the time scale of transport in the air subdomain is much smaller than that in the building materials, it is assumed that the solution of the air subdomain remains constant during the transient simulation in the building subdomain (Saneinejad et al, 2014). Information is exchanged at the coupled boundaries at every exchange timestep, similar to the quasi-dynamic coupling mentioned in Rodrı´guez-Va´zquez et al (2020). The exchange timestep is set to 10 min in this study.…”
Section: Coupling Approachmentioning
confidence: 99%
“…The BES-CFD coupling can be of a dynamic type when both programs work together, exchanging information at each moment, or static when the programs work using the information received from the other, but they work independently. These benefits include reduced time and computational resources of convergence in CFD, more exact heat transfer coefficients used in BES, and better estimation of building energy requirements compared to standalone BES simulations [61]. In this study, a static coupling was implemented where the TRNSYS building modeling software implements the data obtained from the CFD numerical modeling through the following procedure:…”
Section: Bes-cfd Couplingmentioning
confidence: 99%
“…The different characteristics of these two groups make them difficult to combine in one single workflow for simulations, although it is required in order to compute microclimate effects on building energy simulations. This approach linking different tools is called Hybrid, and has been a recent focus among the research community (Rodríguez-Vázquez et al, 2020). By coupling BES and CFD tools it is possible to improve the results and capabilities of the analysis.…”
Section: State Of the Artmentioning
confidence: 99%