2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)最新文献

筛选

英文中文

Performance Analysis of Single Axis Tracking and Floating Solar Panel for Domestic usage 家用单轴跟踪浮动太阳能电池板性能分析

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687778

R. Abhinav, Adithya P. Rajeev, Anson M. Varghese, M. Harigovind

{"title":"Performance Analysis of Single Axis Tracking and Floating Solar Panel for Domestic usage","authors":"R. Abhinav, Adithya P. Rajeev, Anson M. Varghese, M. Harigovind","doi":"10.1109/APPEEC50844.2021.9687778","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687778","url":null,"abstract":"Technology is currently making a quantum leap towards meeting the growing demand for knowledge, resources, and the desire to improve the status quo. As a result, there is a massive build-up of cache, non-recyclable waste, and emissions in the atmosphere. To counteract these unfavorable outcomes, we have swapped our ways of exploiting natural resources and fossil fuels to other sources and renewable energy. Solar energy is the third most prevalent of these after Hydro-power and Wind energy, since it is the most common renewable energy source for energy production and consumption, and there are also numerous ways to enhance solar energy. However, since there are cascading losses, the expected result can only be achieved by minimizing these losses with sufficient add-on. For example, for a panel, the solar tilt angle, the temperature, shadow casting, site of installation, etc are the factors that can cause loss if not dealt with accuracy. Along with the essential regulations, additional equipment like tracking systems, floating panels, as well as integrating other technologies with the systems can improve efficiency. In this paper, the performance of a solar panel with single-axis tracking and a floating panel with a tracker is evaluated for domestic usage. The findings, effectiveness, and any defects that may exist are discussed.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126348880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural Networks-Based Detection of Cyber-Physical Attacks Leading to Blackouts in Smart Grids 基于神经网络的智能电网网络物理攻击检测

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687713

Zhanwei He, J. Khazaei, F. Moazeni, J. Freihaut

引用次数: 0

首页上一页