太陽能光電熱水系統智能控制技術開發

Development of intelligent control technology for solar photovoltaic and hot water hybrid system

彭成量(Cheng-Liang Peng)

指導教授 ： 黃秉鈞

國立臺灣大學/工學院/機械工程學研究所/碩士(2021年)

https://doi.org/10.6342/NTU202101709

摘要

本研究旨在透過熱傳學結合人工智能的決策分析，設計低成本單感測控制，比較分析單感測控制與溫差控制的實驗結果，發現單感測控制的效率稍低。本研究也比較感測器位置不同的差異以及有無保溫之差異，並探討其發電效益，發現無保溫的PVT模組可以使太陽能板平均提升1.81%的發電量，有保溫且去除氣泡的PVT模組則使太陽能板平均提升2.83%的發電量。本研究也對成本與效益進行評估，分析在不同電價下，PVT成本回收年限變化，發現可在3-5年內回收成本

關鍵字

太陽能 ； 太陽能光電熱水系統 ； 智能控制 ； PVT ； 儲能

並列摘要

This study aims to design a single sensor control for a PVT system through decision analysis of heat transfer. The single sensor control experimental results are analyzed and compared to a temperature difference control of an analog system. It is found that the efficiency of single sensor control is slightly lower, but according to the theoretical analysis , its efficiency is higher than that of a normal PVT system. The effects of the sensor position and thermal insulation on the PVT system performance are also investigated. While discussing heat transfer efficiency, this paper also presents and analyzes the power generation benefit of PVT systems. An average power generation increase of 1.81% is registered for a non-insulated PVT system compared to 2.83% for an insulated PVT system. This study also mentions the cost and benefit and analyzes the change of cost recovery period under different electricity prices. The results show that the PV module with single sensing control can recover the cost within 3-5years

並列關鍵字

Solar ； solar photovoltaic and hot water hybrid system ； intelligent Control ； energy ； PVT

參考文獻

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