Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System

碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 103 === This study discusses the relationship of the most important setup parameters (including collector material, number of heat collecting pipes, diameter of heat collecting pipe, Volume to Area(V/A) ratio, mass flow rate, cycle temperature and azimuth) influenci...

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Main Authors: Pei-Chung Yang, 楊沛中
Other Authors: Chung-Feng Jeffrey Kuo
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/86663799368897851195
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spelling ndltd-TW-103NTUS51461512016-11-06T04:19:41Z http://ndltd.ncl.edu.tw/handle/86663799368897851195 Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System 雙面太陽能光電熱能複合系統之最佳化參數設計與實務驗證 Pei-Chung Yang 楊沛中 碩士 國立臺灣科技大學 自動化及控制研究所 103 This study discusses the relationship of the most important setup parameters (including collector material, number of heat collecting pipes, diameter of heat collecting pipe, Volume to Area(V/A) ratio, mass flow rate, cycle temperature and azimuth) influencing Bifacial Photovoltaic and Thermal Composite Module(BPV/T) to the electrical efficiency and heat storage efficiency. First, the experiment is designed by Taguchi method. Optimized setup parameter combinations design is made for each quarter according to the track and elevation angle of sun. The testing software TRaNsient System Simulation(TRNSYS) is used for simulation and combined with Main Effect Analysis(MEA) and Analysis of Variance(ANOVA) to review the effect of various setup parameters on each single quality characteristic (electrical efficiency and heat storage efficiency), and to obtain various single quality characteristic optimized setup parameter combinations. Considering electrical efficiency and heat storage efficiency multiple quality characteristics optimization, the Principal Component Analysis(PCA) of multiple quality characteristics theory is used to calculate the objective weights of each properties, combined with Elimination Et Choice Translating Reality(ELECTRE) to work out the multiple quality characteristics optimized setup parameter combinations, practical validation is implemented according to multiple quality characteristics optimized setup parameter combinations. It is observed that single quality characteristic and multiple quality characteristics optimized setup parameter combinations of simulation test are in the 95% confidence interval, the maximum error of electrical efficiency and heat storage efficiency and of practical validation and simulation test is less than 4.3%, simulation test has reliability. This study analyzes the BPV/T, Photovoltaic(PV) and Photovoltaic and Thermal(PV/T) benefit and floor area of installed capacity 1 kW. Compared with PV/T, BPV/T has 13.7% higher annual power generation, 4.8% higher thermal storage capacity and 0.2 year shorter cost recovered years; compared with PV, annual power generation is higher by 19.25%, annual overall energy output is higher by 389% and cost recovered years is shorter by 4.8 years. Based on 20-year warranty of photovoltaic module, in terms of economic benefit deducting construction cost: BPV/T is higher than PV/T by 18%, higher than PV by 460%; comparison of floor area: BPV/T is less than PV and PV/T by 11%, and overall energy output per unit area: BPV/T is higher than PV/T by 20%, higher than PV by 210%. Chung-Feng Jeffrey Kuo 郭中豐 2015 學位論文 ; thesis 166 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 103 === This study discusses the relationship of the most important setup parameters (including collector material, number of heat collecting pipes, diameter of heat collecting pipe, Volume to Area(V/A) ratio, mass flow rate, cycle temperature and azimuth) influencing Bifacial Photovoltaic and Thermal Composite Module(BPV/T) to the electrical efficiency and heat storage efficiency. First, the experiment is designed by Taguchi method. Optimized setup parameter combinations design is made for each quarter according to the track and elevation angle of sun. The testing software TRaNsient System Simulation(TRNSYS) is used for simulation and combined with Main Effect Analysis(MEA) and Analysis of Variance(ANOVA) to review the effect of various setup parameters on each single quality characteristic (electrical efficiency and heat storage efficiency), and to obtain various single quality characteristic optimized setup parameter combinations. Considering electrical efficiency and heat storage efficiency multiple quality characteristics optimization, the Principal Component Analysis(PCA) of multiple quality characteristics theory is used to calculate the objective weights of each properties, combined with Elimination Et Choice Translating Reality(ELECTRE) to work out the multiple quality characteristics optimized setup parameter combinations, practical validation is implemented according to multiple quality characteristics optimized setup parameter combinations. It is observed that single quality characteristic and multiple quality characteristics optimized setup parameter combinations of simulation test are in the 95% confidence interval, the maximum error of electrical efficiency and heat storage efficiency and of practical validation and simulation test is less than 4.3%, simulation test has reliability. This study analyzes the BPV/T, Photovoltaic(PV) and Photovoltaic and Thermal(PV/T) benefit and floor area of installed capacity 1 kW. Compared with PV/T, BPV/T has 13.7% higher annual power generation, 4.8% higher thermal storage capacity and 0.2 year shorter cost recovered years; compared with PV, annual power generation is higher by 19.25%, annual overall energy output is higher by 389% and cost recovered years is shorter by 4.8 years. Based on 20-year warranty of photovoltaic module, in terms of economic benefit deducting construction cost: BPV/T is higher than PV/T by 18%, higher than PV by 460%; comparison of floor area: BPV/T is less than PV and PV/T by 11%, and overall energy output per unit area: BPV/T is higher than PV/T by 20%, higher than PV by 210%.
author2 Chung-Feng Jeffrey Kuo
author_facet Chung-Feng Jeffrey Kuo
Pei-Chung Yang
楊沛中
author Pei-Chung Yang
楊沛中
spellingShingle Pei-Chung Yang
楊沛中
Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System
author_sort Pei-Chung Yang
title Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System
title_short Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System
title_full Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System
title_fullStr Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System
title_full_unstemmed Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System
title_sort optimal parameter design and practical validation of bifacial photovoltaic thermal energy composite system
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/86663799368897851195
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