可信賴的建築數位孿生需要的不只是即時連線：其預測準確度取決於輸入資料的品質，其實用性則取決於校準後的模型在操作條件改變時，是否仍能重現實測行為。多數建築場址僅量測全水平面日射量，模擬所需的直射與漫射分量因此缺測；同時，鮮少研究會將校準後的模型，拿去對照它從未被調校過的條件加以測試。本論文以 SPINLab 的可旋轉雙房測試平台與由此建立的 IESVE 模型，同時處理這兩個問題。
在輸入保真度方面，四種太陽輻射重建方法在四個朝向下，對照實測室內溫度反應進行評估（CV(RMSE) 4.34%–9.18%）。這些方法在不同太陽輻射暴露條件下的表現差異，顯示目前的局地太陽輻射輸入建模，仍需在更廣泛的條件範圍內提升其代表性。
在模型驗證方面，參數先針對一種操作模式（全時段運轉房間）進行校準，接著凍結參數，並在未經任何調整的情況下，對照執行獨立間歇循環協議、未參與校準的第二個房間進行評估。兩房配對比較後，合併室內溫度 CV(RMSE) 為 3.08%；其中循環房間（Room B）的資料則提供了獨立證據，顯示校準後的模型在操作條件改變後仍維持適用性。
驗證後的模型接著延伸至決策支援應用。在所測試的西向朝向條件下，duty-cycle 分析辨識出一個可用的 10:00–14:00 控制時間窗；此後，隨著日照負荷增加，可供循環運轉利用的熱容裕度大幅縮小。另一項獨立於模擬模型之外的捲簾遮陽實驗顯示，同樣的上游遮陽邏輯效益明顯因朝向而異，並診斷出目前阻礙將遮陽整合進模型的具體技術缺口：實驗中桌面照度觸發點與模擬中分區層級輸出之間，尚缺乏經驗證的對應關係。
整體而言，這些結果使虛擬模型從靜態基準，推進到具備已刻劃輸入保真度、且經跨操作模式驗證行為的模型，同時明確指出在它能根據持續傳入的量測資料自動更新自身之前，還缺少哪些具體環節。

A trustworthy Building Digital Twin needs more than real-time connectivity: its predictions are only as good as their inputs, and its usefulness depends on whether a calibrated model still reproduces measured behaviour once operating conditions change. Most building sites measure only global horizontal irradiance, leaving the direct and diffuse components a simulation needs unmeasured, and few studies test a calibrated model against conditions it was never tuned to match. This dissertation addresses both problems using SPINLab’s rotatable twin-room testbed and an IESVE model built from it.
For input fidelity, four solar-radiation reconstruction approaches were evaluated against measured indoor-temperature responses across four orientations (CV(RMSE) 4.34–9.18%). Their varying performance across solar-exposure conditions highlights the need for more representative local solar-input modelling across a broader range of conditions.
For model validation, parameters were calibrated against one operating regime, an always-ON room, then frozen and evaluated without retuning against a second room running an independent intermittent-cycling protocol that took no part in calibration. The paired-room comparison yielded a combined indoor-temperature CV(RMSE) of 3.08%, while the cycling-room data provided independent evidence that the calibrated model remained useful under the changed operating condition.
The validated model was then extended toward decision support. Under the examined west-facing condition, the duty-cycle analysis identified a usable 10:00–14:00 control window, after which increasing solar load substantially reduced the thermal margin available for cycling. A separate, model-independent roller-blind experiment showed the same upstream-shading logic delivers markedly orientation-dependent value, and identified the specific technical gap, an unresolved correspondence between the experiment’s desk-level illuminance trigger and the simulation’s zone-level output, that currently blocks integrating shading into the model.
Together, these results move the virtual model from a static baseline to one with characterised input fidelity and cross-regime validated behaviour, while identifying exactly what remains before it can update itself automatically against incoming measurements.

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