Studying of long-term time series and methods of forecast for solar irradiance/energy

Postgraduate Thesis uoadl:2940516 8 Read counter

Unit:
Κατεύθυνση Φυσική Περιβάλλοντος
Library of the School of Science
Deposit date:
2021-03-31
Year:
2021
Author:
Moustaka Anna
Supervisors info:
Γιαννακάκη Ελίνα, Λέκτορας, Τμήμα Φυσικής, ΕΚΠΑ
Φλόκα Ε., Καθηγήτρια τμήματος "Φυσικής", Αθήνα
Καζαντζής Σ., Ερευνητής PMOD/WRC, Ελβετία
Original Title:
Μελέτη μακροχρόνιων χρονοσειρών και μέθοδοι πρόγνωσης ηλιακής ακτινοβολίας/ενέργειας
Languages:
Greek
Translated title:
Studying of long-term time series and methods of forecast for solar irradiance/energy
Summary:
The purpose of this diploma thesis is the utilization of long-term time series of solar radiation for the study and forecast of solar irradiance/energy on inclined surfaces in Europe. Solar irradiance data for the period 2005-2019 from Copernicus Atmosphere Monitoring Service (CAMS) are used. Firstly, models for diffuse irradiance and albedo are compared in order to calculate the global irradiance reaching various inclination angles, with constant South orientation. Two different combinations of models, annual and seasonal optimum inclination angles are estimated and used, while simple mathematical functions are extracted for the estimation of optimum inclination/angle as a function of latitude and cloud modification factor (CMF). The analysis is performed for both cloudless and “real” sky conditions. At real sky conditions the annual results for the optimum inclination angle are compared with the corresponding results of Jacobson et al. 2018. Furthermore, a comparison between global irradiance reaching different inclination surfaces relative to the horizontal one throughout the year is performed. Finally, different scenarios of changing the inclination angle during the year are studied, in order to achieve the maximum energy utilization of solar potential.
Main subject category:
Science
Keywords:
solar radiation, solar energy, inclined surfaces, clouds, albedo
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
64
Number of pages:
149

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