Table 1 Previous studies of design-based natural ventilation cooling potential evaluation for buildings in China40,41.
Scenarios & Criteria | Climate & Configuration data | Simulator/Core methodology | Evaluation purpose /Highlight | Climate zone (Cities) | Annual NV hours (hr) | ||||
|---|---|---|---|---|---|---|---|---|---|
1. ASHRAE Handbook-Fundamentals-2009 2. ASHRAE 55–2009 | Climate data | Chinese Standard Weather Data (CSWD) | 1. EnergyPlus 2. Fundamental heat balance principle | 1. To prove the impact of ambient air pollution on NV potential 2. 8–78% of cooling energy usage can potentially be reduced by NV | 5 (76) | Harbin (2091) Beijing (2771) Shanghai (2365) Kunming (6047) Guangzhou (2898) | |||
Outdoor threshold | Outdoor dry-bulb temperature and Humidity | 1. Adaptive thermal comfort model 2. > 12.8℃ | Configuration data | GB 50,189–2015: Chinese Design Standard for Energy Efficiency of Public Buildings | |||||
Airflow | None | Ventilation strategy | 1. Mechanical ventilation 2. Hybrid ventilation | ||||||
Scenarios & Criteria | Climate & Configuration data | Simulator/Core Methodology | Evaluation purpose/Highlight | Climate zone (Cities) | Annual NV hours (hr) | ||||
1. ASHRAE Standard 169–2006 2. ASHRAE Standard 90.1–2007 3. ASHRAE Standard 55–2009 4. ASHRAE Handbook-Fundamentals-2009 | Climate data | 1. Typical Meteorological Year 3 (TMY3) 2. International Weather for Energy Calculations (IWEC) 3. CSWD | 1. EnergyPlus 2. Fundamental heat balance principle | To estimate the NV potential of 1854 locations around the world and calculate energy saving potentials of the world’s 60 largest cities | 5 (1854) | Harbin (2356) Beijing (2651) Shanghai (2302) Kunming (5566) Guangzhou (2434) | |||
Outdoor threshold | Outdoor dry-bulb temperature and Humidity | Adaptive thermal comfort model | Configuration data | 1. U.S. Department of Energy (DOE) commercial reference building database 2. International Energy Conservation Code (IECC) 2009 | |||||
Airflow | ASHRAE Standard 55 | Ventilation strategy | 1. Mechanical ventilation 2. Hybrid ventilation | ||||||
Scenarios & Criteria | Climate & Configuration data | Simulator/Core Methodology | Evaluation purpose/Highlight | Climate zone (Cities) | Annual NV hours (hr) | ||||
1. GB 50,736–2012 2. GB 50,352–2019 | Climate data | CSWD | 1. Wind tunnel 2. Computational fluid dynamics (CFD) 3. Wind-ventilation rate | 1. The calculation formula for the wind-ventilation potential is established 2. The NV potentials of main cities in China are estimated | 5 (31) | Harbin (1929) Beijing (2884) Shanghai (3402) Kunming (3427) Guangzhou (4777) | |||
Outdoor threshold | Outdoor dry-bulb temperature | 1. 18 °C < , & < 28 °C 2. Adaptive thermal comfort model | Configuration data | 1. The building model with a length scale of 1:100 and dimensions of 0.2*0.2*0.16 m (depth*width*height) 2. A single 1 m*1 m window on each façade | |||||
Humidity | None | ||||||||
Airflow | None | Ventilation strategy | None | ||||||
30 | Scenarios & Criteria | Climate & Configuration data | Simulator/Core Methodology | Evaluation purpose/Highlight | Climate zone (Cities) | Annual NV hours (hr) | |||
1. Ventilation, Thermal Comfort and Indoor Air Quality 2018, Crawford Wright Head of Design (BB 101) 2. GB 50,189–2015 | Climate data | CSWD | 1. Energy performance calculator (EPC) 2. EN ISO 13,790 | 1. Normative calculation approach that can reduce the impact of parametric uncertainties 2. Six scenarios in 100 cities under five standards are analyzed and displayed on index map, including underdeveloped regions | 5 (100) | Harbin (1476) Beijing (1714) Shanghai (1071) Kunming (2437) Guangzhou (1285) | |||
Outdoor threshold | Outdoor dry-bulb temperature | Below upper threshold of adaptive thermal comfort model and higher than 12.8℃ | Configuration data | 1. GB 50,189–2010 2. GB 50,352–2005 3. GB/T 50,033–2013 4. GB 50,189–2015 5. GB 50,736–2012 6. GB 50,176–93 | |||||
Humidity | 70%, 80% RH | ||||||||
Airflow | 15 ACH, 20 ACH | Ventilation strategy | 1. Hybrid ventilation 2. Pure natural ventilation | ||||||