研究生: |
林威任 Lin, Wei-Jen |
---|---|
論文名稱: |
超臨界NOVEC 649 在水平迷你流道中的熱傳分析 Experimental investigation on convective heat transfer of supercritical NOVEC 649 in horizontal miniature tubes |
指導教授: |
潘欽
Pan, Chin 傅本然 Fu, Ben-Ran |
口試委員: |
楊建裕
Yang, Chien-Yuh 李進得 Lee, Jin-Der |
學位類別: |
碩士 Master |
系所名稱: |
原子科學院 - 工程與系統科學系 Department of Engineering and System Science |
論文出版年: | 2018 |
畢業學年度: | 106 |
語文別: | 中文 |
論文頁數: | 55 |
中文關鍵詞: | 超臨界 、強制對流熱傳 、NOVEC 649 |
外文關鍵詞: | supercritical, convective heat transfer, NOVEC 649 |
相關次數: | 點閱:3 下載:0 |
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穿臨界(transcritical)有機朗肯循環(organic Rankine cycle,ORC)系統由於在加熱過程中有較高的溫度與較好的熱吻合(thermal match),可以降低加熱過程中產生的不可逆性,進而增加整體系統熱效率。穿臨界ORC系統的最高操作壓力高於工作流體的臨界壓力,且在升溫的過程中,流體的溫度將會超越臨界溫度,最後工作流體在離開熱交換器之前,會到達超臨界狀態。然而,目前文獻上對有機工作流體在超臨界狀態下的熱傳與壓降特性瞭解相當有限,進而使得穿臨界ORC系統的設計與開發相當困難。本研究的目的在探討穿臨界ORC系統之工作流體在超臨界狀態下的熱傳與壓降特性,包含超臨界熱傳實驗系統的架設與測試標準流成的建立、進行超臨界熱傳不同實驗參數的實驗(如:質量流率、系統壓力、流道管徑)、實驗數據與文獻上經驗式的比較並發展熱傳分析經驗式。
超臨界熱傳實驗參數分別有熱通率、質量流率、系統壓力、與流道管徑等,熱傳遞係數之量測需要壁溫,其可使用埋置於管壁中的T-Type熱電偶直接測量,為了不干擾管內流體流場形態,本研究將用進出口溫度以及能量平衡關係式來內差即可得知管內流體溫度,而實驗所量測溫度對應之熱物理性質均可由NIST 9.1 數據資料庫查詢得知。實驗結果顯示,質量流率的增加對於熱傳能力的提升有著顯著的效果,此與文獻上所呈現的趨勢相符合;管徑尺寸的提升會導致熱傳能力的明顯下降;系統壓力效應對於熱傳能力的影響並不顯著,唯在本研究的最小管徑(2 mm)靠近臨界溫度及假臨界溫度區間時對應的熱傳系數峰值有著隨著壓力增加而上升的趨勢。但是,當管徑增加為4 mm與6 mm,則峰值不再出現。本研究也有發現超臨界熱傳實驗中特有的熱傳惡化的現象。此一現象推測與進入超臨界區域時熱物理性質的劇烈變化有著極大的關係。更進一步分析之後,發現浮力效應在本實驗中也有著顯著的影響,因此在發展經驗式的過程中,也將浮力效應的參數加入迴歸分析,成功發展出合適的經驗式且數據預測的誤差在20%以內,有90%以上的數據在預測範圍之內。
A transcritical organic Rankine cycle (ORC) system has a higher operating temperature and better thermal match during the heating process that can reduce the irreversibility and, therefore, yields a higher thermal efficiency. In a transcritical ORC system, the maximum operation pressure of the working fluid is higher than its critical pressure and the temperature also exceeds the critical temperature during the heating process. Consequently, the fluid reaches its supercritical state during the heating process. However, the knowledge of the heat transfer and pressure drop of the organic fluid at its supercritical states is quite limited, resulting in the difficulty of the design and development of a transcritical ORC system. This study investigates the heat transfer characteristics of the transcritical organic Rankine cycle, including the establishment of the supercritical heat transfer system loop and operating procedures, the conducting experiments at various mass flow rates, system pressures, and tube diameters, the comparison between data and correlations published in literatures, and the development of an empirical correlation to predict the present set of supercritical heat transfer data.
Three different experimental parameters including mass flow rate, system pressure, and tube diameter are varied and their effects on heat transfer are investigated in this study. The wall temperatures along the flow channel are measured using T-type thermocouples embedded within the tube wall, and surface temperatures could then be extrapolated. However, in order to avoid disturbing the flow pattern, local fluid enthalpy can be evaluated based on the energy balance and the corresponding fluid temperature can then be acquired from NIST 9.1 database with other thermophysical properties. The results demonstrate the heat transfer ability increases with increasing mass flow rate. This trend is found to be in good agreement with previous experimental results. The tube diameter has a negative effect on heat transfer ability. Nevertheless, effects of system pressure present insignificant tendency except for the region that the peak of heat transfer coefficient, increasing with the increasing system pressure for the case with the smallest tube diameter. The heat transfer deterioration, which are distinct phenomena to supercritical heat transfer research, are clearly observed. The results also reveal that the heat transfer coefficient is strongly affected by the steep change in thermo-physical properties induced by operation under supercritical conditions. Additionally, it is discovered that buoyancy presents a significant impact on heat transfer ability. Hence, a buoyancy factor, defined as , is chosen to one of the parameters in the development the empirical correlation. Significantly, this study successfully develops an empirical correlation that can predict 90% of present experimental data within 20% error range.
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