研究生: |
張弘楷 Hung-kai Chang |
---|---|
論文名稱: |
結合聚光型太陽能發電系統與水冷系統以改善太陽能使用率 A Combination of Concentrator Photovoltaics and Water Cooling System to Improve Solar Energy Utilization |
指導教授: |
郭明哲
Ming-Tse Kuo |
口試委員: |
楊宗銘
Chung-Ming Young 黃仲欽 Jonq-Chin Hwang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2011 |
畢業學年度: | 100 |
語文別: | 中文 |
論文頁數: | 140 |
中文關鍵詞: | 聚光型太陽能電池 、水冷系統 、類神經網路 |
外文關鍵詞: | Concentrator Photovoltaics, Water Cooling System, Neural |
相關次數: | 點閱:281 下載:0 |
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太陽能目前主要應用在熱能方面為太陽能熱水器,光電方面應用在發電,由於太陽能的發電效率並不高,以目前商用的太陽能電池而言,其轉換效率多低於20%,而本論文主要是利用聚光型太陽能電池做光能與熱能的結合,一方面應用於光電整合,增加太陽能電池的發電效率,另一方面利用熱能增加太陽能的使用率,由於聚光型太陽能電池發電時聚光表面會產生大量熱能,本論文所提出的水冷系統可有效進行降溫,利用冷水循環的方式將廢熱導出以達到冷卻效果,測量水冷系統散熱時所造成的水溫度差而得到的水熱功率與系統總消耗功率,以及太陽能電池進行太陽光發電時的發電效率做分析與比較,利用水冷系統水循環散熱可提升太陽能電池約2%~15%發電量,可改善太陽能約2.29%~3.37%發電效率。可提升整體的總能量值約37%~59%,將光電與熱能的應用做結合,同時也具體實現了環保節能的目標,讓太陽光的使用效率增加,最後利用類神經網路(Neural Network)達到最佳化的效率提升。
The solar energy is mainly used for solar heaters that utilize heat of solar and photovoltaics that utilize sunlight. Because the efficiency of solar power generation is not high, the conversion efficiency of current commercial solar cells is often less than 20%. The thesis mainly concentrated on combination of heat and light in concentrator photovoltaics. On one hand it will be used for optoelectronic integration to increase the efficiency of solar generation; on the other hand the employment of solar heat can also increase utility rate of solar energy. Since the surface of concentrating light in concentrator photovoltaics will produce a lot of heat when it generates electric power, the proposed water cooling systems in the thesis can be effective to lower the temperature. The use of cold water cycles can achieve the cooling effect by exporting heat. To measure the water temperature difference which caused by heat dissipation of the cooling system can get the thermal power of water and power consumption of total system. When solar cells generate the power by using light, the generation efficiency will be analyzed and compared. The total amount of electric power can be improved about 2% to 15% by using heat dissipation of the cooling system and the generating efficiency from light can also be improved about 2.29% to 3.37%. It can also enhance the total energy about 37% to 59%. To combine the optical and thermal applications will achieve the specific energy saving and environmental protection targets in the same time. It will increase the utility rate of sunlight. Finally, the use of neural network will achieve the optimal efficiency.
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