{"title":"Architecture design of grid-connected exploratory photovoltaic power generation based on Internet of Things and construction of power marketing system","authors":"Feng Qian, Zhe Wang, Jinghua Wang","doi":"10.1093/ijlct/ctad099","DOIUrl":null,"url":null,"abstract":"Abstract Solar energy, as a prominent clean energy source, is increasingly favored by nations worldwide. However, managing numerous photovoltaic (PV) power generation units via wired connections presents a considerable challenge. The advent of the Internet of Things (IoT) and cloud service technologies has facilitated the creation of an efficient and convenient PV grid-connected management system. This paper investigates IoT technology and PV grid-connected systems, integrating wireless sensor network technology, cloud computing service platforms and distributed PV grid-connected systems. We propose a Zigbee wireless network featuring ad hoc network functionality and Narrow Band Internet of Things (NB-IoT) smart gateway with multi-protocol and multi-device support. This system enables the collection and uploading of PV grid-connected system data to cloud service platforms, addressing daily operation and maintenance as well as intelligent management of distributed PV power stations. Furthermore, it expedites the aggregation and analysis of PV power generation data, streamlining power marketing across various regions.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":"16 1","pages":"0"},"PeriodicalIF":2.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Low-carbon Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ijlct/ctad099","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Solar energy, as a prominent clean energy source, is increasingly favored by nations worldwide. However, managing numerous photovoltaic (PV) power generation units via wired connections presents a considerable challenge. The advent of the Internet of Things (IoT) and cloud service technologies has facilitated the creation of an efficient and convenient PV grid-connected management system. This paper investigates IoT technology and PV grid-connected systems, integrating wireless sensor network technology, cloud computing service platforms and distributed PV grid-connected systems. We propose a Zigbee wireless network featuring ad hoc network functionality and Narrow Band Internet of Things (NB-IoT) smart gateway with multi-protocol and multi-device support. This system enables the collection and uploading of PV grid-connected system data to cloud service platforms, addressing daily operation and maintenance as well as intelligent management of distributed PV power stations. Furthermore, it expedites the aggregation and analysis of PV power generation data, streamlining power marketing across various regions.
期刊介绍:
The International Journal of Low-Carbon Technologies is a quarterly publication concerned with the challenge of climate change and its effects on the built environment and sustainability. The Journal publishes original, quality research papers on issues of climate change, sustainable development and the built environment related to architecture, building services engineering, civil engineering, building engineering, urban design and other disciplines. It features in-depth articles, technical notes, review papers, book reviews and special issues devoted to international conferences. The journal encourages submissions related to interdisciplinary research in the built environment. The journal is available in paper and electronic formats. All articles are peer-reviewed by leading experts in the field.