A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China

Abstract

In this study, we first found that the few and sparse meteorological stations used in earlier comprehensive studies of building climate zoning in a complicated terrain area like Chongqing, China, may lead to the inapplicability of building energy efficiency standards in some areas. To address this issue, the study used daily data from 1908 extremely dense surface meteorological stations from 2011 to 2020 in Chongqing, China. In order to conduct fine zoning of building climate in Chongqing, China, GB50176-2016 and ASHRAE standard 169-2021 were employed, respectively. The findings indicated that by using the ASHRAE standard, the entire Chongqing region was classified into five climate zones. The Chongqing region was categorized into three different climate zones using China GB50176-2016: cold zone (CZ), hot summer and cold winter zone (HSCWZ), and mild zone (MZ). Not to be overlooked is the MZ (China’s GB50176-2016)/mixed-humid zone (ASHRAE standard), which is primarily situated at higher elevations in the southeast and northeast of Chongqing. In comparison to the HSCWZ/warm-humid zone, these zones have drastically different building energy efficiency regulations and approaches. According to preliminary projections, improved building climate zoning will to some extent increase building energy efficiency and reduce emissions in Chongqing. Finally, this study case can be replicated in different regions with complicated terrain.

Advancing Rural Building Extraction via Diverse Dataset Construction and Model Innovation with Attention and Context Learning

“…When building homes, people often use abundant local materials and technical traditions to construct buildings adapted to the local climate; thus, different regions have formed unique regional architectural cultures [29]. With the industrialization and standardization of the construction industry, the regional features of urban buildings have gradually weakened, while the regionality of rural buildings is still pronounced in many areas, resulting in high heterogeneity among rural buildings [30]. Considering the vast territory and complex diverse landforms in China, as well as the dilemma of insufficient samples and large differences in rural building extraction, this study selected nine typical geographical regions, including the Northeast Plain (Yanji), North China Plain (Zhangqiu), and Loess Plateau (Qian County), to construct a rural building image dataset to cover the main geomorphological types, climate characteristics and regional architectural styles in China with strong typicality and representativeness [31].…”

Multi-criterial performance-based climatic zoning of Brazil supported by local experts

“…A review published in 2017 showed a myriad of methods applied in different countries [1]. After this review, various papers were published reporting developments in climatic zoning approaches based on climate data [2][3][4][5][6][7][8][9][10][11], as well as in the emerging field of performance-based climatic zoning methods [9,[12][13][14][15][16][17]. A recent study in performance-based zoning demonstrated significant improvement over approaches using only climatic data (e.g.…”