| 引用本文: | 王永杰,赵蕾,范可新,杨柳.新人体㶲分析模型在建筑热舒适评价中的应用[J].哈尔滨工业大学学报,2019,51(10):186.DOI:10.11918/j.issn.0367-6234.201711073 |
| WANG Yongjie,ZHAO Lei,FAN Kexin,YANG Liu.A set of new human body exergy analysis model and its application in evaluating indoor thermal comfort conditions[J].Journal of Harbin Institute of Technology,2019,51(10):186.DOI:10.11918/j.issn.0367-6234.201711073 |
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| 新人体㶲分析模型在建筑热舒适评价中的应用 |
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王永杰1,2,赵蕾1,2,范可新1,2,杨柳3
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(1.西安建筑科技大学 环境与市政工程学院,西安 710055; 2.环境工程重点实验室(西安建筑科技大学), 西安 710055; 3.西安建筑科技大学 建筑学院,西安 710055)
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| 摘要: |
| 为探究人体㶲分析法在评估室内热环境状态中的应用,严格根据新陈代谢㶲的定义,在已有的两种?分析模型基础上,首先提出了更合理的新陈代谢㶲计算方法,建立了新的两节点㶲分析模型. 然后利用ASHRAE数据库中的实验数据验证了所建立模型的可靠性.最后,揭示了人体㶲交换速率、㶲损失速率随室内、外环境参数的变化规律. 研究结果表明:新的新陈代谢㶲计算方法能更准确地进行人体㶲分析；㶲损失速率比㶲交换速率占新陈代谢㶲率的比例大；操作温度25 ℃时,㶲交换速率主要包含辐射?率和对流㶲率；操作温度32 ℃时,蒸发?率和呼吸㶲率则是㶲交换速率的主要组成部分；人体㶲损失速率在操作温度较低或较高条件下均出现极值,将其单独用于人体热舒适评价不妥,结合㶲损失速率和㶲交换速率两者可更好地评价室内热环境状态；最小㶲损失速率和最小㶲交换速率在给定室内条件下,均在室外高温低湿工况下出现；室外温度比室外相对湿度更强烈地影响人体㶲损失速率和人体㶲交换速率. |
| 关键词: 人体㶲模型 新陈代谢㶲 㶲损失速率 㶲交换速率 热舒适 |
| DOI：10.11918/j.issn.0367-6234.201711073 |
| 分类号:TU111 |
| 文献标识码:A |
| 基金项目:国家杰出青年基金(51325803) |
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| A set of new human body exergy analysis model and its application in evaluating indoor thermal comfort conditions |
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WANG Yongjie1,2,ZHAO Lei1,2,FAN Kexin1,2,YANG Liu3
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(1.School of Municipal and Environmental Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China; 2.Key Laboratory of Environmental Engineering (Xi’an University of Architecture and Technology), Xi’an 710055, China; 3.School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China)
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| Abstract: |
| To explore the application of human body exergy analysis method in evaluating thermal comfort conditions of indoor environment, a more feasible method based on the definition of metabolic exergy was proposed to calculate human body metabolic exergy rate after comparison with two existing calculation methods. Then a new two-node human body exergy analysis model validated by ASHRAE thermal comfort database was proposed. Results indicate that exergy rates were more precise if the sum of warm and humid metabolic exergy rates was calculated based on clearly-defined energy metabolism by heat and moisture. The proportion of exergy consumption rate to metabolic rate was greater than that of the exergy exchange rate. The exergy exchange rate mainly consisted of convection and radiation exergy rate when the operative temperature was 25 ℃, while it consisted of evaporation and respiration exergy rate at 32 ℃. The exergy consumption rates reached extreme values at both lower and higher operative temperatures, and hence using the index alone as a thermal comfort evaluation parameter was inappropriate. It was more appropriate to consolidate exergy exchange rate with exergy consumption rate as a human body thermal comfort estimating index. The minimum values of aforementioned two terms, for a given indoor parameter, appeared at a greater outdoor air temperature and a lower outdoor relative humidity. The outdoor air temperature had a stronger impact on exergy exchange rate and exergy consumption rate than outdoor relative humidity. |
| Key words: human body exergy model metabolic exergy exergy consumption rate exergy exchange rate thermal comfort |
