An Off-Grid PV Power System for Meteorological and Eddy Covariance Flux Station in Kranji, Singapore
Name
1-s2.0-S1876610213000878-main.pdf
Size
1 MB
Format
Adobe PDF
Checksum (MD5)
db402e3dd67702de85471e6ac53c946b
Author(s)
Kai, Fuu Ming
Chua, Amy F.L.
Tee, Ming Hui
Ng, Bernard
Gandois, Laure
Harvey, Charles
Cobb, Alexander R.
Harvey, Charles F
Date Issued
June 2013
Journal
Energy Procedia
Publisher
Elsevier BV
Citation
Kai, Fuu Ming, Alex Cobb, Amy F.L. Chua, Ming Hui Tee, Bernard Ng, Laure Gandois and Charles Harvey. "An Off-Grid PV Power System for Meteorological and Eddy Covariance Flux Station in Kranji, Singapore." Energy Procedia 3 (2013): 364-373.
Version
Final published version
Abstract
This paper describes an off-grid (stand-alone) PV system for powering an eddy flux station on tropical grassland in Kranji (1°25ʹN, 103°43ʹE), Singapore. Eddy covariance flux systems are used to quantify exchanges of CO₂, H₂O and energy between the atmosphere and land. Our system includes gas analyzers for CO₂ and H₂O, and sensors for rainfall, wind speed, wind direction, long-wave and short-wave radiation, diffuse radiation, and soil heatflux. The off-grid PV system consists of eight 160W p monocrystalline solar panels, sixteen 12V deep cycle batteries, a charge controller, and an inverter. To monitor the performance of our off-grid PV system, we developed a Python program to communicate with the controller and inverter, and record data on a small single-board computer. We applied a Matlab program with meteorological measurements to predict the PV array output. The meteorological measurements and operating data of the PV system are presented and discussed here.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.EGYPRO.2013.05.077
