Solar Power-Based Thermo Electric Cooler (TEC) System

M. Situmorang, Monika Panjaitan
{"title":"Solar Power-Based Thermo Electric Cooler (TEC) System","authors":"M. Situmorang, Monika Panjaitan","doi":"10.32734/jotp.v3i2.5624","DOIUrl":null,"url":null,"abstract":"Solar energy has been considered as a promising renewable energy source for electric power generation. Solar panel systems have become a popular object to be developed by researchers, but the low efficiency of solar panels in energy conversion is one of the weaknesses of this system. Factors that affect the output produced by solar panels are the intensity of sunlight and the working temperature of the solar panels. The solar panel module has a single operating point where the voltage and current outputs produce the maximum power output. There are three main methods in Maximum Power Point Tracking (MPPT), namely conventional methods, artificial intelligence methods, and hybrid methods. In most solar panel systems, this study uses Maximum Power Point Tracking (MPPT) with perturb and observe algorithms to maximize the use of solar energy. The maximum power point extracted by MPPT will be supplied to the battery and controlled by the Charge Controller. The energy stored in the battery will be used by the Thermo Electric Cooler cooling system to reach the desired temperature point using the keypad as temperature input.","PeriodicalId":323487,"journal":{"name":"Journal of Technomaterial Physics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Technomaterial Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32734/jotp.v3i2.5624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Solar energy has been considered as a promising renewable energy source for electric power generation. Solar panel systems have become a popular object to be developed by researchers, but the low efficiency of solar panels in energy conversion is one of the weaknesses of this system. Factors that affect the output produced by solar panels are the intensity of sunlight and the working temperature of the solar panels. The solar panel module has a single operating point where the voltage and current outputs produce the maximum power output. There are three main methods in Maximum Power Point Tracking (MPPT), namely conventional methods, artificial intelligence methods, and hybrid methods. In most solar panel systems, this study uses Maximum Power Point Tracking (MPPT) with perturb and observe algorithms to maximize the use of solar energy. The maximum power point extracted by MPPT will be supplied to the battery and controlled by the Charge Controller. The energy stored in the battery will be used by the Thermo Electric Cooler cooling system to reach the desired temperature point using the keypad as temperature input.
太阳能热电冷却器(TEC)系统
太阳能已被认为是一种很有前途的可再生发电能源。太阳能电池板系统已成为研究人员开发的热门对象,但太阳能电池板能量转换效率低是该系统的弱点之一。影响太阳能电池板输出的因素有太阳光的强度和太阳能电池板的工作温度。太阳能电池板模块有一个单一的工作点,电压和电流输出产生最大的功率输出。最大功率点跟踪(MPPT)主要有三种方法,即传统方法、人工智能方法和混合方法。在大多数太阳能电池板系统中,本研究使用最大功率点跟踪(MPPT)与摄动和观察算法来最大限度地利用太阳能。MPPT提取的最大功率点将提供给电池并由充电控制器控制。储存在电池中的能量将被热电冷却器冷却系统使用,以达到所需的温度点,使用键盘作为温度输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信