### Abstract

Convective heat transfer coefficients for external building surfaces (h_{c,ext}) are essential in building energy simulation (BES) to calculate convective heat gains and losses from building facades and roofs to the environment. These coefficients are complex functions of, among other factors, building geometry, building surroundings, building facade roughness, local air flow patterns and temperature differences. Previous research on h _{c,ext} has led to a number of empirical models, many of which are implemented in BES programs. This paper first provides an extensive overview of such models for h_{c,ext} calculation implemented in BES programs together with the corresponding assumptions. Next, the factors taken into account by each model are listed, in order to clarify model capabilities and deficiencies. Finally, the uncertainty related to the use of these models is discussed by means of a case study, where the use of different models shows deviations up to ±30% in the yearly cooling energy demand (in relation to the average result) and ±14% in the hourly peak cooling energy demand of an isolated, well-insulated building, while deviations in yearly heating energy demand are around ±6%. The paper concludes that each model has a specific range of application, which is identified in this review paper. It also concludes that there is considerable uncertainty in the prediction of h _{c,ext}, which can be transferred to the BES results. This large uncertainty highlights the importance of using an appropriate convection model for simulations of a specific building, certainly for calculating cooling demands and related important performance indicators such as indoor temperatures, indoor relatively humidity, thermal comfort, etc.

Original language | English |
---|---|

Pages (from-to) | 134-151 |

Number of pages | 18 |

Journal | Applied Thermal Engineering |

Volume | 56 |

Issue number | 1-2 |

DOIs | |

Publication status | Published - 2013 |

### Fingerprint

### Keywords

- building envelope
- Buoyancy
- Convective heat transfer coefficient
- Heat, air and moisture transfer (HAM)
- Wind-induced heat transfer

### Cite this

*Applied Thermal Engineering*,

*56*(1-2), 134-151. https://doi.org/10.1016/j.applthermaleng.2013.03.003

}

*Applied Thermal Engineering*, vol. 56, no. 1-2, pp. 134-151. https://doi.org/10.1016/j.applthermaleng.2013.03.003

**Review of external convective heat transfer coefficient models in building energy simulation programs : implementation and uncertainty.** / Mirsadeghi, M.; Cóstola, D.; Blocken, B.; Hensen, J. L M.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Review of external convective heat transfer coefficient models in building energy simulation programs

T2 - implementation and uncertainty

AU - Mirsadeghi, M.

AU - Cóstola, D.

AU - Blocken, B.

AU - Hensen, J. L M

PY - 2013

Y1 - 2013

N2 - Convective heat transfer coefficients for external building surfaces (hc,ext) are essential in building energy simulation (BES) to calculate convective heat gains and losses from building facades and roofs to the environment. These coefficients are complex functions of, among other factors, building geometry, building surroundings, building facade roughness, local air flow patterns and temperature differences. Previous research on h c,ext has led to a number of empirical models, many of which are implemented in BES programs. This paper first provides an extensive overview of such models for hc,ext calculation implemented in BES programs together with the corresponding assumptions. Next, the factors taken into account by each model are listed, in order to clarify model capabilities and deficiencies. Finally, the uncertainty related to the use of these models is discussed by means of a case study, where the use of different models shows deviations up to ±30% in the yearly cooling energy demand (in relation to the average result) and ±14% in the hourly peak cooling energy demand of an isolated, well-insulated building, while deviations in yearly heating energy demand are around ±6%. The paper concludes that each model has a specific range of application, which is identified in this review paper. It also concludes that there is considerable uncertainty in the prediction of h c,ext, which can be transferred to the BES results. This large uncertainty highlights the importance of using an appropriate convection model for simulations of a specific building, certainly for calculating cooling demands and related important performance indicators such as indoor temperatures, indoor relatively humidity, thermal comfort, etc.

AB - Convective heat transfer coefficients for external building surfaces (hc,ext) are essential in building energy simulation (BES) to calculate convective heat gains and losses from building facades and roofs to the environment. These coefficients are complex functions of, among other factors, building geometry, building surroundings, building facade roughness, local air flow patterns and temperature differences. Previous research on h c,ext has led to a number of empirical models, many of which are implemented in BES programs. This paper first provides an extensive overview of such models for hc,ext calculation implemented in BES programs together with the corresponding assumptions. Next, the factors taken into account by each model are listed, in order to clarify model capabilities and deficiencies. Finally, the uncertainty related to the use of these models is discussed by means of a case study, where the use of different models shows deviations up to ±30% in the yearly cooling energy demand (in relation to the average result) and ±14% in the hourly peak cooling energy demand of an isolated, well-insulated building, while deviations in yearly heating energy demand are around ±6%. The paper concludes that each model has a specific range of application, which is identified in this review paper. It also concludes that there is considerable uncertainty in the prediction of h c,ext, which can be transferred to the BES results. This large uncertainty highlights the importance of using an appropriate convection model for simulations of a specific building, certainly for calculating cooling demands and related important performance indicators such as indoor temperatures, indoor relatively humidity, thermal comfort, etc.

KW - building envelope

KW - Buoyancy

KW - Convective heat transfer coefficient

KW - Heat, air and moisture transfer (HAM)

KW - Wind-induced heat transfer

UR - http://www.scopus.com/inward/record.url?scp=84876521362&partnerID=8YFLogxK

U2 - 10.1016/j.applthermaleng.2013.03.003

DO - 10.1016/j.applthermaleng.2013.03.003

M3 - Article

VL - 56

SP - 134

EP - 151

JO - Applied Thermal Engineering

JF - Applied Thermal Engineering

SN - 1359-4311

IS - 1-2

ER -