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Decarbonising electrical grids using photovolatics with enhanced capacity factors [software] Open Access

Many scenarios for Net Zero anticipate substantial growth of Solar PV generation to satisfy 30% of our electricity needs. However, this scale of deployment introduces challenges as supply may not meet demand, thereby necessitating energy storage and demand-side management. Here we demonstrate a different, complementary approach to resolving this challenge in which Solar PV generation can be made intrinsically less variable than commercial PV. Dye-sensetized PVs for which the power conversion efficiency increases as light intensity reduces are demonstrated. Modelling of the UK mainland energy network predicts that these devices are more effective at displacing high carbon generation from Coal and Gas than commercial PV. The capacity factor of these PV devices are controlled by their design, and capacity factors >60% greater than silicon are predicted based on experimental data. These data demonstrate a new approach to designing PV in which minimising variability in generation is the goal. This approach is predicted to be more effective at delivering carbon reductions for a given energy network than commercial PV.


Resource type
Creator: Williams, Cai 1
Editor: Williams, Cai 1
Data collector: Michales, Hannes 2
Editor: Michales, Hannes 2
Creator: Crossland, Andrew 3
Editor: Crossland, Andrew 3
Editor: Shirshova, Natasha 1
Editor: Mackenzie, Roderick 1
Editor: Sun, Hongjian 1
Data collector: Kettle, Jeff 4
Editor: Kettle, Jeff 4
Data collector: Freitag, Marina 2
Editor: Freitag, Marina 2
Contact person: Groves, Chris 1
Editor: Groves, Chris 1
1 Durham University, UK
2 Newcastle University, UK
3 Durham Energy Institute, UK
4 Glasgow University, UK
North East Centre for Energy Materials
Engineering and Physical Sciences Research Council
Research methods
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Includes CSV data.
Photovoltaic power systems
Solar energy
Cited in
Creative Commons Attribution 4.0 International (CC BY)

Durham University
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C. Williams
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2 August 2023, 12:08:01
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Last modified: 2023:08:02 12:13:43+01:00
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