Extraction and simulation analysis of climate adaptation strategy for raw earth dwellings in the Tumochuan area of China based on the prototype of building space

The Tumochuan area in Inner Mongolia, China, is a key geographical region where Mongolian and Han cultures have long coexisted, giving rise to a unique system of raw earth dwellings. These structures blend the green building wisdom of nomadic and agricultural traditions, incorporating passive climate regulation strategies with significant ecological and architectural value. However, these traditional dwellings are increasingly being replaced by modern buildings, and their environmental benefits remain underexplored. This study focuses on Tumochuan earth dwellings, identifying their spatial prototypes through field research and analyzing local climate data using Climate Consultant software. From this, general climate adaptation strategies and design references were derived, and passive design features embedded in the spatial prototypes were further extracted. Ecotect Analysis software was then used for quantitative evaluation. Results show that these dwellings enhance heat gain, reduce heat loss, and adapt well to the cold regional climate through a comprehensive climate response system. After applying the strategies, energy consumption dropped by 12.9%. This study uses a combination of qualitative and quantitative methods to reveal the climate-adaptable design of the residence, providing theoretical support for its protection and offering a localised green design reference for the development of residential buildings in cold regions.

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Publication Details

Journal
Journal of Asian Architecture and Building Engineering
Published
2025-10-15
DOI
https://doi.org/10.1080/13467581.2025.2573894
Citations
1
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
1.30
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article

Extraction and simulation analysis of climate adaptation strategy for raw earth dwellings in the Tumochuan area of China based on the prototype of building space

W.C. Fan, Shuai Wang, Donghao Li, Pengtao Li
1 citations
Journal of Asian Architecture and Building Engineering
Remote Sensing and Land Use
1.30
article

Extraction and simulation analysis of climate adaptation strategy for raw earth dwellings in the Tumochuan area of China based on the prototype of building space

W.C. Fan, Shuai Wang, Donghao Li, Pengtao Li
article en
1 citations

Abstract

The Tumochuan area in Inner Mongolia, China, is a key geographical region where Mongolian and Han cultures have long coexisted, giving rise to a unique system of raw earth dwellings. These structures blend the green building wisdom of nomadic and agricultural traditions, incorporating passive climate regulation strategies with significant ecological and architectural value. However, these traditional dwellings are increasingly being replaced by modern buildings, and their environmental benefits remain underexplored. This study focuses on Tumochuan earth dwellings, identifying their spatial prototypes through field research and analyzing local climate data using Climate Consultant software. From this, general climate adaptation strategies and design references were derived, and passive design features embedded in the spatial prototypes were further extracted. Ecotect Analysis software was then used for quantitative evaluation. Results show that these dwellings enhance heat gain, reduce heat loss, and adapt well to the cold regional climate through a comprehensive climate response system. After applying the strategies, energy consumption dropped by 12.9%. This study uses a combination of qualitative and quantitative methods to reveal the climate-adaptable design of the residence, providing theoretical support for its protection and offering a localised green design reference for the development of residential buildings in cold regions.

Journal of Asian Architecture and Building Engineering
Mongolian University of Science and Technology (MN), Institute of Grassland Research (CN), Guangzhou Huali College, Inner Mongolia University of Technology (CN)
Openalex Percentile: Top 17%
Remote Sensing and Land Use
1.30
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