Abstract
Increased interest in wireless data collection for environmental and energy applications has developed due to the recent growth in renewable energy power systems. Wireless sensor networks have improved the efficiency and ease of monitoring and reporting of environmental data and system performance from remote locations. This paper describes the development of a wireless sensor network for environmental and energy applications. An array of sensors measuring wind speed, wind direction, temperature, relative humidity and rainfall are present at a remote sensor node. A Libelium Waspmote was used to interface the weather sensors and two Raspberry Pi's were used for pre-transmission processing, data storage and web hosting. XBee-Pro 868MHz RF modules were used for the wireless communication of data between nodes. The system implemented is a robust, flexible platform for wind data sensing, particularly suitable to remote locations where renewable energy plants are often located.
| Original language | English |
|---|---|
| Title of host publication | IET Conference Publications |
| Publisher | Institution of Engineering and Technology |
| Pages | 64-69 |
| Number of pages | 6 |
| Edition | CP639 |
| ISBN (Print) | 9781849199247 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014 - Limerick, Ireland Duration: 26 Jun 2014 → 27 Jun 2014 |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | CP639 |
| Volume | 2014 |
Conference
| Conference | 25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014 |
|---|---|
| Country/Territory | Ireland |
| City | Limerick |
| Period | 26/06/14 → 27/06/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Embedded systems
- Environmental wireless sensor networks
- LiDAR
- Ultrasonic anemometry
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