多目標海洋溫差發電廠最佳參數設計之研究

Optimal Parameter Design of a Multi-purpose Ocean Thermal Energy Conversion Plant

林欣怡(Hsin-Yi Lin)

指導教授 ： 黃厚生

健行科技大學/電資學院/電機工程所/碩士(2009年)

https://doi.org/10.6824/UCH.2009.00005

摘要

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。

關鍵字

多目標海洋溫差發電 ； 微粒群演算法

並列摘要

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.

並列關鍵字

Multi-purpose Ocean Thermal Energy Conversion (OTEC) ； Particle Swarm Optimization (PSO)

參考文獻

參考文獻

[1] 台灣電力公司網站, http://www.taipower.com.tw/

[2] 孫守樟, ”板式熱交換器,” 中國百科網,

http://www.chinabaike.com/article/316/408/2007/20070509111294.html

[3] 徐永康,” 管殼式熱交換器,” 中國百科網,