Irradiance Field Reconstruction from Partial Observability of Solar Radiation

Jonatan Ostrometzky*, Andrey Bernstein, Gil Zussman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Photovoltaic (PV) panels have become a significant source of electric power generation. These panels are considered to be one of the cleanest energy production systems available, so their spread is expected to increase in the following years, especially because recent technologies have reduced the cost of these panels. Unlike classic energy production methodologies that are connected to the high-voltage transmission power lines, many PV panels are connected directly to the lower voltage distribution networks of the electric power grid, making the management of the grid an ongoing challenge. In this letter, we address this challenge and show that the irradiance field that is required to calculate the expected power output of the PV panels can be estimated in a simplistic methodology, using partial observability of the solar radiation. We validate our proposed methodology by conducting an empirical study that uses real data of the solar radiation taken from satellites, and we show that even when the observability of the solar radiation is as low as 10% (meaning that only one in ten points of interest in a regular grid is observable), the irradiance field can be accurately estimated.

Original languageEnglish
Article number8699106
Pages (from-to)1698-1702
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume16
Issue number11
DOIs
StatePublished - Nov 2019
Externally publishedYes

Funding

FundersFunder number
Alliance for Sustainable Energy, LLC
DOE Grid Modernization Initiative
DOE OE
U.S. DOE
U.S. Department of EnergyDE-AC36-08GO28308
Defense Threat Reduction AgencyHDTRA1-13-1-0021
Office of Energy Efficiency and Renewable Energy
National Renewable Energy Laboratory
Laboratory Directed Research and Development

    Keywords

    • Inverse distance weighting
    • irradiance nowcast
    • partial observability
    • photovoltaic (PV) panels
    • renewable energy

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