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Preliminary Results on Design and Implementation of a Solar Radiation Monitoring System

View Article: PubMed Central - PubMed

ABSTRACT

The paper presents a solar radiation monitoring system, using two scientific pyranometers and an on-line computer home-made data acquisition system. The first pyranometer measures the global solar radiation and the other one, which is shaded, measure the diffuse radiation. The values of total and diffuse solar radiation are continuously stored into a database on a server. Original software was created for data acquisition and interrogation of the created system. The server application acquires the data from pyranometers and stores it into a database with a baud rate of one record at 50 seconds. The client-server application queries the database and provides descriptive statistics. A web interface allow to any user to define the including criteria and to obtain the results. In terms of results, the system is able to provide direct, diffuse and total radiation intensities as time series. Our client-server application computes also derivate heats. The ability of the system to evaluate the local solar energy potential is highlighted.

No MeSH data available.


Autocorrelation Correlogram on Total Radiation. Lag = the k order, Corr. = correlation coefficient, p = significance of correlation coefficient
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f9-sensors-08-00963: Autocorrelation Correlogram on Total Radiation. Lag = the k order, Corr. = correlation coefficient, p = significance of correlation coefficient

Mentions: As it can be observed in figure 9, from the correlogram (made with Statistica Software, version 6), the autocorrelation decrease linearly, pass through zero and become negative. This result revealed that the series is not stationary, and the data must be differenced one or more times before it may be modeled with an autoregressive process.


Preliminary Results on Design and Implementation of a Solar Radiation Monitoring System
Autocorrelation Correlogram on Total Radiation. Lag = the k order, Corr. = correlation coefficient, p = significance of correlation coefficient
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927518&req=5

f9-sensors-08-00963: Autocorrelation Correlogram on Total Radiation. Lag = the k order, Corr. = correlation coefficient, p = significance of correlation coefficient
Mentions: As it can be observed in figure 9, from the correlogram (made with Statistica Software, version 6), the autocorrelation decrease linearly, pass through zero and become negative. This result revealed that the series is not stationary, and the data must be differenced one or more times before it may be modeled with an autoregressive process.

View Article: PubMed Central - PubMed

ABSTRACT

The paper presents a solar radiation monitoring system, using two scientific pyranometers and an on-line computer home-made data acquisition system. The first pyranometer measures the global solar radiation and the other one, which is shaded, measure the diffuse radiation. The values of total and diffuse solar radiation are continuously stored into a database on a server. Original software was created for data acquisition and interrogation of the created system. The server application acquires the data from pyranometers and stores it into a database with a baud rate of one record at 50 seconds. The client-server application queries the database and provides descriptive statistics. A web interface allow to any user to define the including criteria and to obtain the results. In terms of results, the system is able to provide direct, diffuse and total radiation intensities as time series. Our client-server application computes also derivate heats. The ability of the system to evaluate the local solar energy potential is highlighted.

No MeSH data available.