Solar energy stands out among renewable energy sources due to its efficiency and ease of application, making it a preferred option. It can be utilized through both active and passive systems, significantly reducing heating costs. Sunspaces, a type of passive heating system, not only provide additional usable spaces but also decrease the heating load of buildings. However, studies and market applications indicate that the roof slopes of sunspaces are generally not significantly varied. Additionally, the depth of the sunspace is often determined based on the area of use, which can limit the full utilization of its energy potential. In this study, the impact of sunspace geometry on energy savings was investigated. A scaled model of a detached house with a sunspace was created in Istanbul, and measurements were taken in an open field during winter conditions. Parameters such as indoor and outdoor temperature, humidity, wind speed, and solar energy were examined. This house model was then simulated using TRNSYS software, and the results were compared with experimental data. After confirming that accurate results could be obtained with the computer model, different roof slopes and room depths of the sunspace were simulated. The results determined the effects of roof slope and room depth on energy consumption. Consequently, it became possible to better harness solar energy in sunspaces and reduce heating costs.

中文翻译：

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优化加热效率：sunspace 几何学的作用


太阳能因其效率和易用性而在可再生能源中脱颖而出，使其成为首选。它可以通过主动和被动系统使用，从而显著降低加热成本。Sunspaces 是一种被动供暖系统，不仅可以提供额外的可用空间，还可以降低建筑物的供暖负荷。然而，研究和市场应用表明，阳光空间的屋顶坡度通常没有显着变化。此外，阳光空间的深度通常是根据使用区域确定的，这可能会限制其能源潜力的充分利用。在这项研究中，研究了太阳空间几何结构对节能的影响。在伊斯坦布尔创建了一个带有阳光空间的独立式住宅的比例模型，并在冬季条件下在开阔的田野中进行了测量。检查了室内和室外温度、湿度、风速和太阳能等参数。然后使用 TRNSYS 软件对该房屋模型进行仿真，并将结果与实验数据进行比较。在确认计算机模型可以获得准确的结果后，模拟了阳光空间的不同屋顶坡度和房间深度。结果确定了屋顶坡度和房间深度对能耗的影响。因此，在阳光空间中更好地利用太阳能并降低供暖成本成为可能。