Biomass assessments for local authorities - a case study

Published by:
Leeds City Council
Last updated:
04 August 2021
Topic:
Not added
Licence:
Open Government Licence

Summary

A dataset provding a comprehensive dataset outlining the quantities of some biomass resources available to Leeds City Council and the methodology used can also act as a guideline of assessment techniques suitable for other local councils to use in their own biomass assessments.

Case study

The aim of this study was to characterise and quantify the waste biomass resources available to Leeds City Council, calculating the annual mass available and the corresponding potential annual energy output from such resources.

This is to form part of the solid evidence base that is required for Local Planning Authorities to incorporate local forms of renewable energies into their development plans.

Various waste biomasses were assessed, as well as the future potential of these resources if further alterations to the strategic running of LCC were made.

A hierarchy of biomass quantification techniques was created with the aim of producing a methodology that other local councils can follow in their own biomass assessments.

The technique was successfully applied, giving an annual current biomass potential of (55±8)×103 tonnes per annum, equivalent to (19±7)×107 MJ/year, with a potential future annual mass and energy of (90±9)×105 tonnes and (20±5)×109 MJ/year.

A MJ or megajoule is the equivalent of a one tonne vehicle moving at 160km/hour.

Further information

The case study was produced by Daisy Thomas, University of Leeds, in conjunction with Leeds City Council

The holistic report was produced by Daisy Thomas, Charlotte Weaver and Weiyi Yao, Universtiy of Leeds in conjunction with Leeds City Council. 

For further information you can contact Daisy at py11dbt@leeds.ac.uk

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Data links

Link to the data Format File added Data preview
Wet biomass CSV 24 November 2018 Preview
Wood biomass CSV 24 November 2018 Preview
Holistic report PDF 24 November 2018 Not available
Case study PDF 24 November 2018 Not available

Additional information

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c2ab490b-c2ca-4fff-9e90-f0296ce9a281
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