Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model
For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xu, Jingxian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Integration-free reprogramming of human umbilical arterial endothelial cells into induced pluripotent stem cells IHSTMi001-A - Li, Huilin ELSEVIER, 2018, the international journal of building science and its applications, New York, NY [u.a.] |
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| Übergeordnetes Werk: |
volume:166 ; year:2019 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.buildenv.2019.106340 |
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| 245 | 1 | 0 | |a Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model |
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| 520 | |a For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. | ||
| 520 | |a For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. | ||
| 650 | 7 | |a Human body posture |2 Elsevier | |
| 650 | 7 | |a Numerical simulation |2 Elsevier | |
| 650 | 7 | |a Heat transfer coefficient |2 Elsevier | |
| 650 | 7 | |a Wall emissivity |2 Elsevier | |
| 650 | 7 | |a Human indoor thermal comfort |2 Elsevier | |
| 650 | 7 | |a Human body geometry |2 Elsevier | |
| 700 | 1 | |a Psikuta, Agnes |4 oth | |
| 700 | 1 | |a Li, Jun |4 oth | |
| 700 | 1 | |a Annaheim, Simon |4 oth | |
| 700 | 1 | |a Rossi, René M. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Li, Huilin ELSEVIER |t Integration-free reprogramming of human umbilical arterial endothelial cells into induced pluripotent stem cells IHSTMi001-A |d 2018 |d the international journal of building science and its applications |g New York, NY [u.a.] |w (DE-627)ELV000477206 |
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10.1016/j.buildenv.2019.106340 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000848.pica (DE-627)ELV048228567 (ELSEVIER)S0360-1323(19)30550-5 DE-627 ger DE-627 rakwb eng 570 VZ Xu, Jingxian verfasserin aut Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. Human body posture Elsevier Numerical simulation Elsevier Heat transfer coefficient Elsevier Wall emissivity Elsevier Human indoor thermal comfort Elsevier Human body geometry Elsevier Psikuta, Agnes oth Li, Jun oth Annaheim, Simon oth Rossi, René M. oth Enthalten in Elsevier Li, Huilin ELSEVIER Integration-free reprogramming of human umbilical arterial endothelial cells into induced pluripotent stem cells IHSTMi001-A 2018 the international journal of building science and its applications New York, NY [u.a.] (DE-627)ELV000477206 volume:166 year:2019 pages:0 https://doi.org/10.1016/j.buildenv.2019.106340 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 166 2019 0 |
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10.1016/j.buildenv.2019.106340 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000848.pica (DE-627)ELV048228567 (ELSEVIER)S0360-1323(19)30550-5 DE-627 ger DE-627 rakwb eng 570 VZ Xu, Jingxian verfasserin aut Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. Human body posture Elsevier Numerical simulation Elsevier Heat transfer coefficient Elsevier Wall emissivity Elsevier Human indoor thermal comfort Elsevier Human body geometry Elsevier Psikuta, Agnes oth Li, Jun oth Annaheim, Simon oth Rossi, René M. oth Enthalten in Elsevier Li, Huilin ELSEVIER Integration-free reprogramming of human umbilical arterial endothelial cells into induced pluripotent stem cells IHSTMi001-A 2018 the international journal of building science and its applications New York, NY [u.a.] (DE-627)ELV000477206 volume:166 year:2019 pages:0 https://doi.org/10.1016/j.buildenv.2019.106340 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 166 2019 0 |
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10.1016/j.buildenv.2019.106340 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000848.pica (DE-627)ELV048228567 (ELSEVIER)S0360-1323(19)30550-5 DE-627 ger DE-627 rakwb eng 570 VZ Xu, Jingxian verfasserin aut Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. Human body posture Elsevier Numerical simulation Elsevier Heat transfer coefficient Elsevier Wall emissivity Elsevier Human indoor thermal comfort Elsevier Human body geometry Elsevier Psikuta, Agnes oth Li, Jun oth Annaheim, Simon oth Rossi, René M. oth Enthalten in Elsevier Li, Huilin ELSEVIER Integration-free reprogramming of human umbilical arterial endothelial cells into induced pluripotent stem cells IHSTMi001-A 2018 the international journal of building science and its applications New York, NY [u.a.] (DE-627)ELV000477206 volume:166 year:2019 pages:0 https://doi.org/10.1016/j.buildenv.2019.106340 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 166 2019 0 |
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10.1016/j.buildenv.2019.106340 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000848.pica (DE-627)ELV048228567 (ELSEVIER)S0360-1323(19)30550-5 DE-627 ger DE-627 rakwb eng 570 VZ Xu, Jingxian verfasserin aut Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. Human body posture Elsevier Numerical simulation Elsevier Heat transfer coefficient Elsevier Wall emissivity Elsevier Human indoor thermal comfort Elsevier Human body geometry Elsevier Psikuta, Agnes oth Li, Jun oth Annaheim, Simon oth Rossi, René M. oth Enthalten in Elsevier Li, Huilin ELSEVIER Integration-free reprogramming of human umbilical arterial endothelial cells into induced pluripotent stem cells IHSTMi001-A 2018 the international journal of building science and its applications New York, NY [u.a.] (DE-627)ELV000477206 volume:166 year:2019 pages:0 https://doi.org/10.1016/j.buildenv.2019.106340 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 166 2019 0 |
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10.1016/j.buildenv.2019.106340 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000848.pica (DE-627)ELV048228567 (ELSEVIER)S0360-1323(19)30550-5 DE-627 ger DE-627 rakwb eng 570 VZ Xu, Jingxian verfasserin aut Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. Human body posture Elsevier Numerical simulation Elsevier Heat transfer coefficient Elsevier Wall emissivity Elsevier Human indoor thermal comfort Elsevier Human body geometry Elsevier Psikuta, Agnes oth Li, Jun oth Annaheim, Simon oth Rossi, René M. oth Enthalten in Elsevier Li, Huilin ELSEVIER Integration-free reprogramming of human umbilical arterial endothelial cells into induced pluripotent stem cells IHSTMi001-A 2018 the international journal of building science and its applications New York, NY [u.a.] (DE-627)ELV000477206 volume:166 year:2019 pages:0 https://doi.org/10.1016/j.buildenv.2019.106340 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 166 2019 0 |
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Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model |
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For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. |
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For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. |
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For accurate prediction of human thermal comfort in indoor space, a fully validated human body–environment interface model is the key factor. In this study, a numerical model for heat transfer simulation between the human body and the environment was developed. Three parameters, including air speed, air temperature, and total heat transfer coefficient at the body surface, were validated against experiments including a manikin placed in a climatic chamber. Based on the verified model, a set of human body–environment parameters were investigated to quantify their relevance for thermal simulations. The parameters included three body geometries with different simplification levels, three body postures, and three kinds of environments differing in room configuration, size, and wall emissivity. The investigations revealed that body geometry simplification had only a moderate influence on overall heat transfer between the body and environment, while greatly influencing local heat transfer. Body posture showed a more prominent impact on heat transfer than the geometry, especially on the radiative heat transfer, due to the view factor change caused by local body orientation. The room configuration largely influenced the airflow pattern and, thus, convective heat transfer, while room size and wall emissivity only had an influence on radiative heat transfer. A similar environmental setup and body posture with the real situation would be suggested as the premise for the body–environment modelling work. The validated numerical model, along with the set of body–environment parameters, can be used for a large range of investigations on human physiological response in varying thermal environments. |
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