Ample land for agriculture is a valuable resource and combining agriculture and photovoltaicpowerplant can give more effective usage of the available area. The vertical double-sidedpanels used in this study are more dependent on the albedo compared to standard-mountedpanels. This study searched for and implemented available albedo models and used researchdata gathered from the agrivoltaic site in Kärrbo Prästgård over two periods of differentseasons. In-situ measurements were studied concerning the albedo's impact on power outputwith the focus on comparing albedo with power output during ground conditions Ley, Winterwheat, and snow. Two models were found and tested with the available in-situ data tovalidate if the models could predict the albedo, both daily and hourly during the differentseasons. Most of the work on the models was coded in MATLAB. The impact of albedo wasshown to differ between the two photovoltaic systems and the different ground conditions.The hourly albedo model produced a decent prediction, both on the summer set and winterset with input of site-dependent measurements of irradiance. The daily albedo model withthe input of satellite data produced a good albedo prediction for both seasons. Both models can be used to predict a more refined albedo value.
Keywords: agrivoltaic, photovoltaics, albedo, model, LIN-FIT, prediction