本論文的目的，就是要研究當一個多目標的溫差發電廠(含發電及深層海水應用)
設計時，如何建立其合適的電力及成本模型。然後在考量當地整年的海水溫度變化下，
以整廠成本效益為目標函數(效益含售電、售水)，利用微粒群演算法來求解多目標海洋
溫差發電廠的參數最佳化設計問題，將發電過後的冷海水進一步應用於淡化水、水產
養殖、冷凍空調及農業應用，以期望能獲得較高的成本效益。微粒群演算法的解答效
能並與傳統Powell 法作比較。測試結果顯示，多目標海洋溫差發電廠以微粒群演算法
求解出的全域最佳解較優於Powell 法的本地最佳解，故能獲得較高的成本效益。

The purposes of this thesis are to investigate the design of a multi-purpose OTEC plant
(including power generation and deep sea water applications) and to build the proper power
model and cost model. Under the consideration of sea water temperature changes in one year,
the objective function is defined as OTEC plant cost-benefit (benefits include both electrical
energy and water sales). The optimal parameter design of a multi-purpose OTEC power plant
is solved by using Particle Swarm Optimization (PSO). It is expected that better cost-benefit
can be obtained by using the idea of multi-purpose OTEC, except for power generation,
which can also be applied to desalination, fishery, air conditioning and agriculture. The
performance of PSO is compared with that of traditional Powell’s method. Test results show
that the cost-benefit of multi-purpose OTEC power plant using global optimal solution of
PSO is better than that of local optimal solution of Powell’s method.

中文摘要……………………………………………………………………………………i
英文摘要……………………………………………………………………………………ii
誌謝…………………………………………………………………………………………iii
目錄…………………………………………………………………………………………iv
表目錄………………………………………………………………………………………vi
圖目錄………………………………………………………………………………………vii
第一章 緒論………………………………………………………………………………1
1.1 研究背景……………………………………………………………………1
1.2 研究動機……………………………………………………………………8
1.3 研究目的……………………………………………………………………12
1.4 文獻回顧……………………………………………………………………12
1.4.1 OTEC 廠模型發展………………………………………………………13
1.4.2 OTEC 廠單純發電參數設計……………………………………………14
1.4.3 OTEC 廠的多目標利用參數設計…………………………………… 15
第二章 多目標OTEC 廠成本效益及發電模型…………………………………………17
2.1 多目標OTEC 廠設計………………………………………………………17
2.2 台灣東岸海域垂直水溫資料搜集…………………………………………19
2.3 深層海水淡化設備選擇……………………………………………………21
2.4 多目標OTEC 之目標函數成本效益模型及發電模型建立………………23
2.4.1 目標函數………………………………………………………………23
2.4.2 多目標OTEC 廠成本效益模型………………………………………24
2.4.3 OTEC 廠發電模型…………………………………………………… 25
2.5 熱交換器介紹………………………………………………………………35
2.5.1 熱交換器的種類………………………………………………………35
2.6 工作流體選擇………………………………………………………………39
第三章 最佳化演算法……………………………………………………………………40
v
3.1 微粒群尋優(Particle Swarm Optimization, PSO)演算法………………… 40
3.2 PSO 各參數對演算法之性能影響…………………………………………42
3.3 Powell 演算法………………………………………………………………43
3.4 OTEC 參數最佳化求解流程………………………………………………46
第四章 測試結果與討論…………………………………………………………………48
4.1 簡介…………………………………………………………………………48
4.2 多目標OTEC 廠及演算法參數……………………………………………48
4.3 各演算法測試結果…………………………………………………………50
4.4 溫海水管入口溫度變化之影響……………………………………………53
4.5 多目標OTEC 園區冷海水日用水量之影響………………………………55
4.6 小結…………………………………………………………………………58
第五章 結論與未來展望…………………………………………………………………59
5.1 結論…………………………………………………………………………59
5.2 未來研究方向………………………………………………………………60
參考文獻……………………………………………………………………………………61
簡歷…………………………………………………………………………………………65

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