本文旨在優化室內垂直農業於空腔內之通風，進而改善耗能。故以田口法設計實驗參數並輔以逆向數值方法分析結果，本文所使用之逆向數值方法係一運用實驗測得溫度和逆算法搭配CFD軟體精確未知物理量之方法，此逆向數值方法使用最小平方法配合多個溫度點逆算較少數量的未知參數以提高精度，此方法可藉CFD提供溫度場、流場、熱傳係數等方便分析，同時為確保此方法精確，探討網格劃分及紊流模型之適正性是必要的。結果顯示，紊流模型選用RNG k-ε輔以增強壁面處理較符合實驗結果；逆向數值方法運用於計算未知壓力亦能與實驗結果具0.86 %以下的方均根誤差；逆向數值方法計算出LED陣列有0.08 W的熱功率、加熱片則有1.28 W的熱功率；隨著不同位置之出風口開閉，模擬計算出的流場與溫度場皆有不同；使用PID控制器配合通風優化可以達到8.06 %之節能率，並提高系統對環境影響之韌性。此研究成果可為室內垂直農業提供另類的節能方法，並將熱流分析、品質工程與控制方法結合應用。

This article shows an optimization of ventilation, which is applied to energy conservation of indoor vertical farming (IVF) system in a cavity. Using Taguchi method with 3D computational fluid dynamics (CFD) simulation and the inverse method, an accurate and effective optimization can be found. In order to verify the temperature distribution, flow characteristics and unknown variables of optimization, selecting an acceptable flow model and mesh of inverse numerical method are necessary. The numerical results and experimental temperature data are closest when RNG k-ε model with enhance wall treatment is used. Verifying the pressure of fan by inverse numerical method is accurate since the maximum root-mean-square error (RMSE) is 0.86 %. The flow characteristics dependences of the vent status at various locations are obtained by streamlines and temperature contour. Adding a PID controller to optimization can reduce 8.06 % energy consumption and improve robustness of system. The investigation in this work could provide another option for energy conservation of IVF system, which combines quality engineering, control system, and thermal and fluid analysis.

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