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|a Kai, Fuu Ming
|e author
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|a Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
|e contributor
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|a Cobb, Alexander R.
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|a Harvey, Charles F
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|a Chua, Amy F.L.
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|a Tee, Ming Hui
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|a Ng, Bernard
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|a Gandois, Laure
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|a Harvey, Charles
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|a Cobb, Alexander R.
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|a Harvey, Charles F
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|a An Off-Grid PV Power System for Meteorological and Eddy Covariance Flux Station in Kranji, Singapore
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|b Elsevier BV,
|c 2018-08-06T15:52:44Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/117278
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|a 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.
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|a Singapore. National Research Foundation
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|a Article
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|t Energy Procedia
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