## 1 Introduction
The study of T-walls has been accompanied by the optimization of T-wall design. Most scholars mainly focus on the optimization of the structural parameters of T-walls. A T-wall is primarily driven by thermal buoyancy in the cavity, so the cavity gap of T-walls plays a  
Figure 1: Diagram of the working principle of a T-wall. crucial role. [PERSON] et al. [19], [PERSON] et al. [20], [PERSON] et al. [21], and [PERSON] et al. [22] have all studied the cavity depth of T-walls. T-wall inlets have also been investigated in many studies. The research of [PERSON] et al. [20] and [PERSON] et al. [21] concerns T-wall inlet and outlet areas. [PERSON] et al. [23] analyzed the opening and closing of T-wall vents and determined the optimal opening and closing times of vents. The experimental study of [PERSON] et al. [4] showed that, for T-wall or thermosyphon air heating collectors, the height of the chimney should be maximized to maximize thermal efficiency. In addition, the material and thickness of the heat storage wall [21; 24], the absorptivity and emissivity of the coating [25], and the Trombe wall-to-wall ratio [21; 26; 27] have been considered by some scholars as factors that influence the performance of T-walls. A T-wall is a subsidiary structure of a building. If it is only its structural parameters that are optimized, the T-wall may not be able to achieve the optimal application effect. Studies into how the external environment affects a T-wall's performance have been carried out by some scholars in the existing research, but these factors only involved solar radiation intensity [19; 22; 28] and external ambient temperature [29; 30]. The influences of room configuration (e.g., room width and length) on the performance of T-walls have rarely been studied. The working principle of the T-wall is similar to that of the solar chimney. Studies on solar chimneys have confirmed that ignoring room structure may lead performance to be over-predicted, and a room coefficient was proposed to address these effects [31; 32]. In the subsequent study of [PERSON] et al., the interaction effect of room openings and air inlets on solar chimney performance was analyzed, and the best combination of air inlet and window heights for the typical solar chimney was provided [33]. With the rapid development of computer technology, its function is also very powerful. All kinds of industries are using artificial intelligence, algorithms, and so on, to solve problems that needed to be solved by tedious methods in the past, and there are also many scholars [34; 35; 36; 37] using algorithms and neural networks to predict the heating and cooling loads of residential buildings. The application of T-walls on Tibetan dwellings in Sichuan-Tibet alpine valley areas was researched by our team [21]. In our previous study, six key influencing factors of T-walls were analyzed, including the south T-wall-to-wall ratio, inlet/outlet height, the glazing inclination angle, storage wall thickness, storage wall material, and the cavity gap. The optimal combination of T-wall structural parameters in this area was determined. However, the factors in the study were all structural parameters of the T-wall itself. Based on previous studies, the influencing factors chosen in this study are no longer the T-wall's own structural parameters, but the parameters of the room and its openings. This study aims to:  
* Further study the application of T-walls to traditional Tibetan dwellings in Sichuan-Tibet alpine valley areas to find out the impact of room configuration on the performance of T-walls, and rank the degree of influence of these factors. * Find out the optimal room configuration for the best T-wall performance in this area to improve the optimal design of T-walls.