Agrivoltaics: solar power generation and food production

Trommsdorff, Max; Dhal, Ipsa Sweta; Özdemir, Özal Emre; Ketzer, Daniel; Weinberger, Nora; Rösch, Christine

doi:10.1016/b978-0-323-89866-9.00012-2

Cited by 23 publications

(17 citation statements)

References 50 publications

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“…This is necessary since any type of shadowing will result in a reduction in electricity output for the entire panel. Using this model, the effective shading factor F ES of a solar panel in Equation ( 9) is calculated according to Equation (10).…”

Section: Solar Electricity Productionmentioning

confidence: 99%

“…6 Agrivoltaics (APV) is defined as the simultaneous use of land for agriculture and PV systems. [8][9][10] Synergies can enable both the crops and the PV modules to benefit from this integration. In dry climates, the shadow cast by PV modules could reduce the irrigation needs by up to 20% due to an altered micro-climate below them 11,12 and improves the soil conditions.…”

Section: Introductionmentioning

confidence: 99%

“…APV yield reduction in grass-clover by 5% while winter wheat, potato, and celeriac yield were improved by 3%, 11%, and 12%, respectively. 10 Overall, a potential benefit for the PV system would be an increased performance ratio due to improved convective cooling. 10 This work aims to investigate the potential of APV installations across Europe.…”

Section: Introductionmentioning

confidence: 99%

“…10 Overall, a potential benefit for the PV system would be an increased performance ratio due to improved convective cooling. 10 This work aims to investigate the potential of APV installations across Europe. For this purpose, three different configurations for PV systems are investigated under different spacing between the rows and various heights.…”

Section: Introductionmentioning

confidence: 99%

“…Agrivoltaics (APV) is defined as the simultaneous use of land for agriculture and PV systems 8–10 . Synergies can enable both the crops and the PV modules to benefit from this integration.…”

Section: Introductionmentioning

confidence: 99%

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Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe

Niazi

Victoria

2023

Progress in Photovoltaics

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Agrivoltaics is the dual use of land by combining agricultural crop production and photovoltaic (PV) systems. In this work, we have analyzed three different agrivoltaic configurations: static with optimal tilt, vertically mounted bifacial, and single‐axis horizontal tracking. A model is developed to calculate the shadowing losses on the PV panels along with the reduced solar irradiation reaching the area under them for different PV capacity densities. First, we investigate the trade‐offs using a location in Denmark as a case study and second, we extrapolate the analysis to the rest of Europe. We find that the vertical and single‐axis tracking produce more uniform irradiance on the ground, and a capacity density of around 30 W/m2 is suitable for agrivoltaic systems. Based on our model and a 100‐m‐resolution land cover database, we calculate the potential for agrivoltaic in every region within the European Union. The potential for agrivoltaic is enormous as the electricity generated by agrivoltaic systems could produce 25 times the current electricity demand in Europe. Overall, the potential capacity for agrivoltaic in Europe is 51 TW, which would result in an electricity yield of 71,500 TWh/year.

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Section: Solar Electricity Productionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe

Niazi

Victoria

2023

Progress in Photovoltaics

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Soiling in Solar Energy Systems: The Role of the Thresholding Method in Image Analysis

Micheli,

Smestad,

Khan

et al. 2023

Solar RRL

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The use of image analysis has often been suggested as a practical way to monitor the soiling accumulated on the surfaces of solar energy conversion devices. Indeed, the deposited soiling particles can be counted and characterized to calculate the area they cover, and this area can be converted into an energy loss. However, several particle counting methodologies exist and can lead to dissimilar results. This work focuses on the role of thresholding, an essential step where particles are distinguished from a background based on the pixel brightness. Sixteen automatic thresholding methods are assessed using 13 200 micrographs of glass coupons soiled at nine locations globally. In low‐to‐intermediate soiling conditions, the “Triangle” method is found to return the minimum coefficient of variation and a mean deviation closer to zero. On the other hand, methods assuming a bimodal distribution of pixel brightness underestimate the area coverage. In addition, since soiling can be unevenly distributed over a surface, different loss estimations can be returned when the same image analysis process is used on different spots on a sample's surface. For these reasons, image analysis should be repeated at multiple locations on each investigated surface.

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Designing the Future of Agrivoltaics

Chalkias,

Stathatos

2024

The Emergence of Agrivoltaics

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Agrivoltaics: solar power generation and food production

Cited by 23 publications

References 50 publications

Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe

Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe

Soiling in Solar Energy Systems: The Role of the Thresholding Method in Image Analysis

Designing the Future of Agrivoltaics

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