# Abstract: Refining Estimates of Land for Biomass (RELB) was a project commissioned and funded by the ETI. As part of the RELB project, the ETI commissioned the project team to complete three case studies of farms growing bioenergy crops. This workbook includes the data and calculations for the Friars Farm Miscanthus case study and should be read alongside the ETI's publication of the case studies which are available on the ETI website: http://www.eti.co.uk/library/bioenergy-crops-in-the-uk-case-studies-on-successful-whole-farm-integration-evidence-pack # Context: Many significant pieces of work have been undertaken to assess UK “2nd generation” bioenergy feedstock production potential. The RELB project was undertaken to help refine and sense-check these existing estimates, including the ETI's own in-house modelling assumptions, in order to understand what further ‘correction factors’ (if any) may need to be applied to adjust existing estimates. In addition, the project aimed to better understand the process for converting land to 2nd generation bioenergy feedstocks and the impact planting these feedstocks could have on farm businesses. The RELB project had four distinct work packages: 1. A review of latest theoretical estimates of land available for biomass production in the UK and Europe. 2. A desk study to identify additional constraint layers which could be used to refine the ETI's own in-house land availability constraint masks. The suitability of these additional constraint layers was tested through field surveys. 3. A review of the steps and agencies involved in land use change to bioenergy crops and forestry. 4. Case studies of three farmers who have planted bioenergy crops, focusing on the financial and food production impacts of their decision. # Disclaimer: The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed ‘as is’ and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that the authors of the document have consented to its publication by the Energy Technologies Institute.