{"title":"干旱地区社会住房的密度和朝向对室外热舒适度的影响:敏感性分析","authors":"Mariam A. Adly, Hatem Mahmoud, Omar M. Galal","doi":"10.1080/16874048.2023.2287776","DOIUrl":null,"url":null,"abstract":"ABSTRACT Many developing countries are experiencing rapid urban growth, resulting in a high demand for social housing schemes. In Egypt, newly built communities and potential extensions are incompatible with its hot climate due to low aspect ratios, high sky view factors values (SVF) and less shaded areas, which negatively affect outdoor thermal comfort at the pedestrian level. This study aims to find a relationship between density (represented in SVF), Physiological Equivalent Temperature (PET) and orientation through a sensitivity analysis to improve the thermal comfort of outdoor spaces in new cities. The research was held on the peakiest summer day using a validated ENVI-met simulation model for a residential area in New October city. The simulation results of 36 scenarios with a total of 37,138 spatial grids were examined through sensitivity analysis to quantify the impact of densification parameters like building coverage ratio, floor area ratio, building height variation, and orientation on PET. PET was found to be more sensitive to densification in cardinal directions. With Higher mid-range densities PET at cardinal orientation reached up to 10℃ higher than in diagonal. Also, the results revealed that optimizing density and building heights could improve average PET (08:00 to 18:00) in diagonal orientation with up to 8℃ in the mid-range densities. However, orientation is insignificant in low densities. Out of the tested parameters, densification was found to be the most impactful strategy than height variation. These results can aid in developing public and private housing schemes that are more climate responsive.","PeriodicalId":502312,"journal":{"name":"HBRC Journal","volume":"250 ","pages":"523 - 541"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of densification and orientation manipulation on outdoor thermal comfort at social housing in arid regions: a sensitivity analysis\",\"authors\":\"Mariam A. Adly, Hatem Mahmoud, Omar M. Galal\",\"doi\":\"10.1080/16874048.2023.2287776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Many developing countries are experiencing rapid urban growth, resulting in a high demand for social housing schemes. In Egypt, newly built communities and potential extensions are incompatible with its hot climate due to low aspect ratios, high sky view factors values (SVF) and less shaded areas, which negatively affect outdoor thermal comfort at the pedestrian level. This study aims to find a relationship between density (represented in SVF), Physiological Equivalent Temperature (PET) and orientation through a sensitivity analysis to improve the thermal comfort of outdoor spaces in new cities. The research was held on the peakiest summer day using a validated ENVI-met simulation model for a residential area in New October city. The simulation results of 36 scenarios with a total of 37,138 spatial grids were examined through sensitivity analysis to quantify the impact of densification parameters like building coverage ratio, floor area ratio, building height variation, and orientation on PET. PET was found to be more sensitive to densification in cardinal directions. With Higher mid-range densities PET at cardinal orientation reached up to 10℃ higher than in diagonal. Also, the results revealed that optimizing density and building heights could improve average PET (08:00 to 18:00) in diagonal orientation with up to 8℃ in the mid-range densities. However, orientation is insignificant in low densities. Out of the tested parameters, densification was found to be the most impactful strategy than height variation. 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引用次数: 0
摘要
摘要 许多发展中国家正经历着快速的城市增长,导致对社会住房计划的大量需求。在埃及,新建的社区和潜在的扩建项目与炎热的气候格格不入,原因是长宽比低、天空视角系数(SVF)值高、遮阳面积少,这对行人的室外热舒适度产生了负面影响。本研究旨在通过敏感性分析,找到密度(以 SVF 表示)、生理等效温度(PET)和朝向之间的关系,以改善新城市室外空间的热舒适度。研究在夏季最炎热的一天进行,使用的是经过验证的 ENVI-met 模拟模型,对象是新十月市的一个住宅区。通过敏感性分析研究了 36 种情景共 37 138 个空间网格的模拟结果,以量化建筑密度参数(如建筑覆盖率、容积率、建筑高度变化和朝向)对 PET 的影响。研究发现,PET 对主要方向上的密集度更为敏感。在较高的中密度下,正中方向的 PET 比对角线方向的 PET 高 10℃。结果还显示,优化密度和建筑高度可提高对角线方向(08:00 至 18:00)的平均 PET 值,在中密度时最高可提高 8℃。然而,在低密度情况下,朝向并不重要。在测试的参数中,与高度变化相比,密集化是影响最大的策略。这些结果有助于开发更适应气候的公共和私人住房方案。
The impact of densification and orientation manipulation on outdoor thermal comfort at social housing in arid regions: a sensitivity analysis
ABSTRACT Many developing countries are experiencing rapid urban growth, resulting in a high demand for social housing schemes. In Egypt, newly built communities and potential extensions are incompatible with its hot climate due to low aspect ratios, high sky view factors values (SVF) and less shaded areas, which negatively affect outdoor thermal comfort at the pedestrian level. This study aims to find a relationship between density (represented in SVF), Physiological Equivalent Temperature (PET) and orientation through a sensitivity analysis to improve the thermal comfort of outdoor spaces in new cities. The research was held on the peakiest summer day using a validated ENVI-met simulation model for a residential area in New October city. The simulation results of 36 scenarios with a total of 37,138 spatial grids were examined through sensitivity analysis to quantify the impact of densification parameters like building coverage ratio, floor area ratio, building height variation, and orientation on PET. PET was found to be more sensitive to densification in cardinal directions. With Higher mid-range densities PET at cardinal orientation reached up to 10℃ higher than in diagonal. Also, the results revealed that optimizing density and building heights could improve average PET (08:00 to 18:00) in diagonal orientation with up to 8℃ in the mid-range densities. However, orientation is insignificant in low densities. Out of the tested parameters, densification was found to be the most impactful strategy than height variation. These results can aid in developing public and private housing schemes that are more climate responsive.