Computational Fluid Dynamics Coupled with Thermal Impact Model for Building Design

Haupt, Sue Ellen; Kunz, Robert F.; Peltier, L. J.; Dreyer, James J.

doi:10.4304/jcp.5.10.1552-1559

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…This analysis tool is used to calculate the distribution of temperature, velocity, pressure, and other properties of fluids, in other words, to provide data on temperature and airflow distribution in and around considered buildings (Zhai 2006;Haupt et al 2010;Blocken et al 2011). …”

Section: The Role Of Cfd In Low-energy Building Designmentioning

confidence: 99%

Low-energy design for future housing developments in Kazakhstan: a case study

2015

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There is a distinct lack of building design literature specific to the Central Asian region. This perhaps, could be one of the reasons for insignificant improvements in new building design and construction, even despite huge investment in the construction of new buildings in, for example, Astana, Kazakhstan. The absence of low-energy building design guidelines could lead to adverse internal conditions and skyrocketing energy bills. In the present context, low-energy buildings refer to buildings that are inherently low-energy consuming by careful passive design, by utilizing intelligent building technologies to automate building services, by minimizing wastage of energy, and by incorporating renewable technologies for its energy supply. This paper focuses on the low-energy design of buildings for harsh weather conditions that prevail in Astana, Kazakhstan. The main aspects of low-energy design are critically discussed. A case study for Dostar residential complex in Astana is presented. Computational fluid dynamics (CFD) analysis is used to demonstrate the effect of important aspects of passive design, such as building orientation, configuration, and envelope on energy efficiency and wind comfort in Dostar residential complex in Astana. The results indicated that there is a considerable influence of low-energy building design on energy efficiency, wind comfort, and safety. Based on the findings of this study, it is suggested that a multiple buildings configuration (a box-shaped form in this case) rather than a single-standing building should be considered while designing future housing developments in Kazakhstan.

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Section: The Role Of Cfd In Low-energy Building Designmentioning

confidence: 99%

Low-energy design for future housing developments in Kazakhstan: a case study

2015

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“…personal ventilation was an airflow from a diffuser at the height of the head or the height of the floor which only require an air flow of 2 l/s to condition the body while a diffuser implemented on the edge of the desk can require up to 6.5 l/s. Haupt et al (2010) using a BES-CFD coupling analyzed a building heated by large windows and a Trombe wall. The authors implemented a dynamic coupling where the BES provided surface temperature as boundary conditions for the CFD.…”

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confidence: 99%

Coupling building energy simulation and computational fluid dynamics: An overview

Rodríguez-Vázquez

Hernández-Pérez

Xamán

et al. 2020

Journal of Building Physics

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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 since its first implementation to the present day. Moreover, this article also summarizes and discusses the research studies in which the building energy simulation–computational fluid dynamics coupling has been used to analyze building systems, building components, and building urban configurations. Implementing a building energy simulation–computational fluid dynamics coupling brings a series of benefits when compared with the conventional building energy simulation methodology, a building energy simulation–computational fluid dynamics coupling provides an improvement that ranges between 10% and 50% for estimating the building energy requirements. Moreover, the computation time to implement computational fluid dynamics with information obtained from the building energy simulation could be reduced by as well.

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“…The commercial CFD code provides MuSES with the cell temperature nearest the wall and a convection coefficient; MuSES provides the CFD code with wall temperatures. (Haupt et al 2010) provides an example of this process for building temperature prediction. The CFD code NPHASE-PSU is only updated at the following times over 24 hours: 00:00, 08:00, 10:00, 13:00, 16:00, and 18: 00.…”

Section: Cfd Coupling Literature Reviewmentioning

confidence: 99%

Computational fluids domain reduction to a simplified fluid network

Smith¹

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Computational Fluid Dynamics Coupled with Thermal Impact Model for Building Design

Cited by 4 publications

References 15 publications

Low-energy design for future housing developments in Kazakhstan: a case study

Low-energy design for future housing developments in Kazakhstan: a case study

Coupling building energy simulation and computational fluid dynamics: An overview

Computational fluids domain reduction to a simplified fluid network

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