Cloud Motion Vector Estimation Using Scalable Wireless Sensor Networks
Document Type
Conference Proceeding
Publication Date
1-21-2019
Publication Title
International System on Chip Conference
Volume
2018
First page number:
13
Last page number:
18
Abstract
Short-term solar irradiation estimation is essential for effective matching of real-time demands and distribution in PV microgrids. In this work, we have developed and evaluated a scalable solar irradiation monitoring wireless sensor network. The WSN can monitor and estimate short-term cloud shadow speed and direction. The individual nodes of the WSN can communicate with each other using RF and WiFi connectivity, thereby allowing us to create a scalable and configurable WSN. The solar irradiations at each WSN node have been calibrated with respect to standard pyranometer values. Also, a network of nodes arranged in a circular orientation was implemented to determine the cloud motion vector. The developed network was evaluated for artificial and real cloud shadow speed and direction. The power consumption of the sensor nodes at different operating states was also determined.
Keywords
Irradiation; Motion estimation; Programmable logic controllers; Solar radiation
Disciplines
Computer Engineering
Language
English
Repository Citation
Gacusan, M. A.,
Muthukumar, V.
(2019).
Cloud Motion Vector Estimation Using Scalable Wireless Sensor Networks.
International System on Chip Conference, 2018
13-18.
http://dx.doi.org/10.1109/SOCC.2018.8618507