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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.

Descriptions

Resource type

Software

Contributors

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

Funder

North East Centre for Energy Materials
Engineering and Physical Sciences Research Council

Research methods

Other description

Includes CSV data.

Keyword

Subject

Photovoltaic power systems
Solar energy

Location

Language

Cited in

Identifier

ark:/32150/r2xs55mc10f
doi:10.15128/r2xs55mc10f

Rights

Creative Commons Attribution 4.0 International (CC BY)

Publisher

Durham University

Date Created

File Details

Depositor

C. Williams

Date Uploaded

5 October 2022, 15:10:28

Date Modified

2 August 2023, 12:08:01

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File format: zip (ZIP Format)

Mime type: application/zip

File size: 240868761

Last modified: 2023:08:02 12:13:43+01:00

Filename: Decarbonising_Grids_Using_CFPVs.zip

Original checksum: e14411045a8cdc53dee0a98b822560c8