Local Benefits
RES seeks to be a power for good in the communities that neighbour its projects by working openly and constructively to ensure tangible local benefits.The Blair Hill Wind Farm, if consented, would support the local area and help to secure long-term economic, social and environmental benefits.
If you would like to show your support for the Blair Hill proposal please click here.
Generating clean, green electricity for the equivalent of approximately 115,703 homes1 annually.
Reducing carbon emissions by over 72,159 tonnes each year2.
Predicted to deliver around £17 million inward investment in the form of jobs, employment and the use of local services during construction.
£70 million of economic activity linked to operations and maintenance work3.
Up to £55 million would be paid in business rates to Dumfries and Galloway Council4 supporting vital local services.
Skills development through engaging universities and colleges to offer field schools for archaeology students during the construction phase of the project.
Creating further job opportunities for local people by funding a work experience or apprenticeship placement and the appointment and funding of a Heritage Ranger.
Enhancing biodiversity through peat restoration, woodland creation and bracken control.
Protecting heritage assets through potential enhancement works funded by RES at Garlies Castle.
Providing additional recreational benefit through the potential creation of an accessible, signposted heritage trail.
Providing a community benefit package worth over £23 million over the wind farm lifetime.
Potential to deliver an annual discount on the electricity bills of homes closest to the wind farm.
2 The carbon reduction figure is taken from the EIAR using the SEPA Carbon Calculator for Wind Farms.
3 The inward investment figure and economic activity figure are taken from the Economic and Community Impact Report.
4 The business rates figure has been calculated from the most recent non-domestic rates revaluation in Scotland (2023 Revaluation) and predicted performance of the wind farm.