Air quality models can improve the accuracy of forecasts of daily solar power production in the future

Air quality models can improve the accuracy of forecasts of daily solar power production in the future
Analyses of the influence of aerosols on the yield of photovoltaic systems contribute to better utilisation of electricity grids and to making the energy transition more secure. A measurement campaign in Allgäu as part of the MetPVNet project provided important data for estimating the production of solar electricity. Credit: Jonas Witthuhn, TROPOS

The expansion of renewable energies is placing increasing demands on the power grids. and in the process requires forecasts that are as precise as possible as to how much solar power will be fed into the grid. In addition to clouds, aerosol particles also strongly influence the amount of electricity generated by photovoltaic systems. Current air quality models are a good basis for estimating the production of solar electricity. However, they should be further improved. This is the conclusion drawn by researchers from the Leibniz Institute for Tropospheric Research (TROPOS), the German Weather Service (DWD) and the International Centre for Sustainable Development (IZNE) at Bonn-Rhein-Sieg University of Applied Sciences.

As part of the joint project MetPVNet, they have compared the reanalysis of the Copernicus Atmosphere Monitoring Service (CAMS) with real solar radiation measurement data from 25 DWD stations in Germany for one year. The study has now been published in the journal Atmospheric Chemistry and Physics (ACP).

The warming or cooling of the atmosphere does not only depend on clouds and greenhouse gases. Aerosol particles also play an important role. The tiny particles (also known as particulate matter) float in the air and, despite their small size, reflect and absorb some of the sun's energy. Too little is currently known about how strongly this effect influences the amount of electricity generated from photovoltaic (PV) systems. In the interdisciplinary research project MetPVNet, experts from atmospheric research and the field of renewable energies therefore worked together to (further) develop innovative energy meteorological methods for predicting irradiation and PV output at plant level and to test them with practical partners.

As part of the joint project, which ran from 2017 to 2021, a study was also conducted which has now been published. This study examined the radiative effect of aerosol as an example for Germany during 2015 on the ground and within the atmosphere using two complementary modeling approaches: Firstly, data on solar radiation in cloud-free situations from 25 stations of the observation network of the German Weather Service (DWD) and the global AERONET network throughout Germany were considered. On the other hand, the radiative effect was estimated by explicit radiative transfer simulations based on the reanalysis of the Copernicus Atmosphere Monitoring Service (CAMS) of the European Union (ESA) on atmospheric composition.

The evaluation which has now been published demonstrated for the example year 2015 that there is a clear gradient in solar energy in Germany: Due to the higher position of the sun, it shines more intensively in the south of the Federal Republic on an annual average of up to 0.5 megawatt hours per square meter than in the north. Due to aerosol from continental sources, solar energy is dimmed in the east of Germany compared to the west. Both effects overlap and ensure that the annual average yield of photovoltaic systems on the Neisse River in the far east of Germany is up to 0.05 megawatts per square meter lower than in the Alps in the far south of Germany. In practice, a variety of other influencing factors from cloud cover to the height of the solar installation play a role.

"The radiative effect of aerosol should definitely be taken into account in daily solar power forecasts. The CAMS model of the European climate observation program Copernicus is a good basis, but it should also be further improved so that grid operators can better control the increasing share of electricity from photovoltaic systems in their power grids. Our basic research thus provides an important building block for the energy transition and emphasizes the social relevance of aerosol research beyond air quality," says Dr. Hartwig Deneke, head of the Satellite Remote Sensing working group at TROPOS. His working group mainly uses satellite data to investigate the properties of clouds and aerosol and to determine their influence on solar and terrestrial radiation.

The study also underlines that ground measurements of solar radiation are important as a reference, since the actual solar energy on solar arrays varies greatly and this can so far only be partially predicted by air quality models. The published analysis is an important step towards an accurate solar weather report, but the road ahead is still long. "In our study, we were only able to study one year. However, solar radiation and air quality sometimes fluctuate significantly between years. Therefore, in the next step, we want to consider a longer time period, from 2003 to 2021, and we are curious to see whether our findings from 2015 are also applicable to other years," says Jonas Witthuhn from TROPOS. Not only electricity grid operators in Germany, but also worldwide could benefit from an improved forecast of photovoltaic output.

Explore further

Aerosols have an impact on the solar power yield in Europe

More information: Jonas Witthuhn et al, Aerosol properties and aerosol–radiation interactions in clear-sky conditions over Germany, Atmospheric Chemistry and Physics (2021). DOI: 10.5194/acp-21-14591-2021
Provided by Leibniz Institute for Tropospheric Research
Citation: Air quality models can improve the accuracy of forecasts of daily solar power production in the future (2021, December 3) retrieved 16 January 2022 from
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Feedback to editors