養液薄膜技術為水培種植的一種，相對於其它水培法其可進行溫度控制。本研究目的為用熱傳分析推導出數學模型，且可以利用模型來預測不同操作條件下與不同環境負載下的溫度變化情形。本研究使用MATLAB模擬計算養液薄膜技術在夏季極端氣候的溫升情況，分析基於二維、穩態、不可壓縮流之質量、動量方程式以及熱阻分析模擬計算植栽管熱傳溫升現象；環境溫度在35 (°C)、植栽管頂部40 (°C)條件下，計算結果顯示只改變導入水溫度以及水流率，植栽管內水溫可以介於植栽管內目標溫度15~24 (°C)，但植栽管內氣溫無法到達目標溫度且差距不小。因此必須更改硬體設備參數進行多參數最佳化設計，本文應用實驗設計法中的田口法結合灰關聯分析，設計因子為熱泵之散熱源溫度、水流量、植栽管寬度、植栽管入口水溫度以及植栽管斜度，綜合探討植栽管內氣溫與耗能考慮情況之最佳參數組合。數值模擬結果顯示植栽管內氣溫與耗能最佳參數配置為地下水散熱之熱泵、水流量2 (L/min)、植栽管寬度0.06 (m)、植栽管入口水溫度16 (°C)以及植栽管斜度4 %，植栽管最高水溫由21.66 (°C)減少至17.87 (°C)，植栽管最高氣溫由30.65 (°C)減少至25.14 (°C)，植栽管總耗能減少53%，其中淺層溫能在節能量中佔了43 %相當高之貢獻度，從模擬運轉情況得知使用淺層溫能取代傳統冷卻水塔之建製費用回收年限大約5個月，且每個月能減少約1,000 (kg)的碳排放量。

Temperature of Nutrient Film Technique(NFT) is one of the types of Hydroponics. As compared to other Hydroponics, it can be controlled by temperature. The purpose of this study is to derive the mathematical model by heat transfer analysis, and the model can be used to predict the changes of the temperature with different operating and environmental conditions. This study used MATLAB to simulate the changes of the temperature of NFT during the summer time based on Steady State, Incompressible Flow, Navier-Stokes equations, and Thermal Resistance Analysis. According to the results of numerical analysis, with 35 °C ambient temperature and 40 °C the top of the planting tube, if we only change the input water temperature and its flow rate, the temperature of the water in the planting tube can reach the target temperature (15 ~ 24 °C), but the temperature of the air in the planting tube cannot reach the target temperature. Therefore, we need to change the parameters of hardware to optimize the design. This study used Taguchi Method and Gray Relation Analysis to approach the optimum parametric combination, with the considering of the temperature of NFT and the power consumption. The parameters include cooling method of heat pump, volume flow rate of water, wide of planting tube, temperature of inlet water of planting tube, and slope of planting tube. The result show, cooling method of heat pump with Shallow Geothermal Energy, volume flow rate of water of 2 (L/min), wide of planting tube of 0.06 (m), temperature of inlet water of planting tube of 16 (°C), and slope of planting tube of 4 % is the best in all level for system. According to the results of optimization, the highest temperature of water of inside planting tube of 21.66 (°C) can be reduced to 17.87 (°C), the highest temperature of air of inside planting tube of 30.65 (°C) can be reduced to 25.14 (°C), and power consumption of planting tube can save 53%. Shallow Geothermal Energy accounts for 43% of the contribution in the saving energy. According to the results of simulating operation, it''s payback period is 5 months, and it can reduce carbon emission by 1,000 (kg) monthly.

致謝 I
摘要 II
Abstract III
目錄 V
圖目錄 VII
表目錄 IX
符號說明 XI
第一章 緒論 1
1.1 前言 1
1.2 文獻回顧 2
1.2.1 淺層溫能熱泵系統 2
1.2.2 水耕栽培系統及養液薄膜技術 3
1.3 研究動機與目的 5
第二章 理論計算 6
2.1 研究系統介紹 6
2.2 薄膜流道動量模型 10
2.3 植栽管能量平衡模型 13
2.3.1 空氣側能量平衡模型 13
2.3.2 水流能量平衡模型 15
2.4 水份蒸發、凝結量分析 17
2.5 熱泵系統 18
2.5.1 熱泵原理 18
2.5.2 熱泵節能方法 19
2.5.3 熱泵循環系統之性能係數 19
2.6 植栽管耗能計算 20
2.7 水槽與熱泵大小計算 21
第三章 研究方法 22
3.1 數值模擬 22
3.2 田口法與灰關聯 24
3.3 水槽與熱泵大小選擇 32
第四章 結果與討論 33
4.1 誤差分析 33
4.2 模擬計算結果 37
4.3 耗能與溫控最佳化結果 42
4.3.1 田口法直交表計算結果 42
4.3.2 因子反應圖分析結果 43
4.3.3 灰關聯應用於田口法分析結果 46
4.3.4 最佳化組合與預測結果 48
4.4 最佳化水槽與熱泵大小 50
4.5 淺層溫能效益評估 51
4.5.1 節能效益評估 51
4.5.2 經濟效益評估 52
第五章 結論與建議 53
5.1 結論 53
5.2 建議 54
參考文獻 55

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