Abstract

Meteorological data collected by an automated LSI Lastem weather station connected with an Arduino device for remote acquisition are reported and discussed. Weather station, located at 38° 15’ 35.10’’ N latitude and 15° 35’ 58.86’’ E longitude, registered data which were analysed by wavelet transform to obtain time-frequency characterization of the signals. Such an approach allowed to highlight the correlation existing among the registered meteorological data. The results show a positive correlation between the minimum temperature and the maximum temperature values whereas a negative correlation emerges between daily rainfall and minimum temperature values as well as for daily rainfall and maximum temperature values. These results suggest the possibility to estimate the global and diffuse solar radiation using more reliable climatologic parameters for optimizing solar energy collected by solar panels.

Highlights

  • Error in the computation of the optimum tilt and orientation of a solar panel depends on the model of diffuse solar radiation which is used [10]

  • Some empirical models for estimating the diffuse solar radiation have to be used to obtain the solar radiation impinging on a tilted surface so that the relationship between the global solar irradiation on horizontal planes and that on tilted planes can be evaluated [11,12,13,14,15]

  • Meteorological data study is generally used for the environmental monitoring, in particular for weather forecasts, to analyze air pollution and to give useful information for farmers, for alternative energies, such as photovoltaic and wind systems, to establish their correct position and for all actions and processes required to monitor and characterize the environment quality [16]. It follows several standards for climatic observations, for the selection of the sites, accuracy and specifications, for the weather station installation and calibration and data interpretation developed by the World Meteorological Organization (WMO) [17]

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Summary

Introduction

Error in the computation of the optimum tilt and orientation of a solar panel depends on the model of diffuse solar radiation which is used [10]. Meteorological data study is generally used for the environmental monitoring, in particular for weather forecasts, to analyze air pollution and to give useful information for farmers, for alternative energies, such as photovoltaic and wind systems, to establish their correct position and for all actions and processes required to monitor and characterize the environment quality [16]. It follows several standards for climatic observations, for the selection of the sites, accuracy and specifications, for the weather station installation and calibration and data interpretation developed by the World Meteorological Organization (WMO) [17]. This methodology can be used in the near future to obtain more reliable climatological parameters to estimate better the diffuse solar radiation

Data Engineering Acquisition System
Wavelet Results Data Analysis
Conclusions
ASHRAE handbook
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