TY - GEN
T1 - Method for flagging shaded solar data using a semi-graphical representation
AU - Perez-Astudillo, Daniel
AU - Bachour, Dunia
AU - Sanfilippo, Antonio
N1 - Publisher Copyright:
© 2021. The Authors. Published by International Solar Energy Society Selection and/or peer review under responsibility of Scientific Committee.
PY - 2021
Y1 - 2021
N2 - Sola r ra dia tion monitoring instruments should have unobstructed views to the sun at a ll times of the day and the yea r a s it moves across the local sky, and measured data should be quality-flagged automatically, a s large amounts of da ta are to be processed. If shading is identified, the data a t the shaded areas should be properly flagged and excluded from the 'usable' data; for this, the shaded areas have to be expressed in the data processing code as equa tions or conditions that define the areas a nd a llow to determine whether a ny measurement was ta ken inside the sha ded area. There is no established method for identifying and flagging those shaded data when analysing sola r ra dia tion measurements. This work presents a method that uses CERN's ROOT Da ta Analysis Fra mework to define the shaded area gra phically in a n efficient a nd precise wa y, tra nslating this into a region a ga inst which ea ch measurement is then easily checked in the code, a nd discarded or flagged accordingly.
AB - Sola r ra dia tion monitoring instruments should have unobstructed views to the sun at a ll times of the day and the yea r a s it moves across the local sky, and measured data should be quality-flagged automatically, a s large amounts of da ta are to be processed. If shading is identified, the data a t the shaded areas should be properly flagged and excluded from the 'usable' data; for this, the shaded areas have to be expressed in the data processing code as equa tions or conditions that define the areas a nd a llow to determine whether a ny measurement was ta ken inside the sha ded area. There is no established method for identifying and flagging those shaded data when analysing sola r ra dia tion measurements. This work presents a method that uses CERN's ROOT Da ta Analysis Fra mework to define the shaded area gra phically in a n efficient a nd precise wa y, tra nslating this into a region a ga inst which ea ch measurement is then easily checked in the code, a nd discarded or flagged accordingly.
KW - data quality
KW - sensor shading
KW - solar resource assessment
UR - http://www.scopus.com/inward/record.url?scp=85135904568&partnerID=8YFLogxK
U2 - 10.18086/swc.2021.39.01
DO - 10.18086/swc.2021.39.01
M3 - Conference contribution
AN - SCOPUS:85135904568
T3 - Proceedings - ISES Solar World Congress 2021
SP - 1076
EP - 1081
BT - Proceedings - ISES Solar World Congress 2021
PB - International Solar Energy Society
T2 - ISES Solar World Congress 2021
Y2 - 25 October 2021 through 29 October 2021
ER -