Evaluation of the Solar Energy Nowcasting System (SENSE) during a 12-Months Intensive Measurement Campaign in Athens, Greece

Author:

Raptis Ioannis-Panagiotis1ORCID,Kazadzis Stelios2ORCID,Fountoulakis Ilias34,Papachristopoulou Kyriakoula14ORCID,Kouklaki Dimitra1,Psiloglou Basil E.5ORCID,Kazantzidis Andreas6,Benetatos Charilaos1ORCID,Papadimitriou Nikolaos6ORCID,Eleftheratos Kostas17ORCID

Affiliation:

1. Department of Geology and Geoenvironment, National and Kapodistrian University of Athens, GR-15784 Athens, Greece

2. Physics and Meteorology Observatory of Davos, World Radiation Center (PMOD/WRC), CH-7260 Davos, Switzerland

3. Research Centre for Atmospheric Physics and Climatology, Academy of Athens, GR-11527 Athens, Greece

4. Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, GR-15236 Athens, Greece

5. Institute for Environmental Research & Sustainable Development, National Observatory of Athens, GR-15236 Athens, Greece

6. Physics Department, University of Patras, GR-26500 Patras, Greece

7. Biomedical Research Foundation, Academy of Athens, GR-11527 Athens, Greece

Abstract

Energy nowcasting is a valuable asset in managing energy loads and having real-time information on solar irradiation availability. In this study, we evaluate the spectrally integrated outputs of the SENSE system for solar irradiance nowcasting for the period of the ASPIRE (atmospheric parameters affecting spectral solar irradiance and solar energy) campaign (December 2020–December 2021) held in Athens, Greece. For the needs of the campaign, several ground-based instruments were operating, including two pyranometers, a pyrheliometer, a cloud camera, a CIMEL sunphotometer, and a precision spectral radiometer (PSR). Global horizontal irradiance (GHI) estimations were more accurate than direct normal irradiance (DNI). SENSE estimations are provided every 15 min, but when comparing bigger time intervals (hours-days), the statistics improved. A dedicated assessment of the SENSE’s inputs is performed in respect to ground-based retrievals, considering cloud conditions (from a sky imager), AOD, and precipitable water vapor from AERONET. The factor that established the larger errors was the visibility of the solar disc, which cannot be defined by the available sources of model inputs. Additionally, there were discrepancies between the satellite estimation of the clouds and the ground picture, which caused deviations in results. AOD differences affected more the DNI.

Funder

Hellenic Foundation for Research and Innovation

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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