Modelling and Optimisation of Shared Renewable Energy Microgrid for Proposed UK Residential Community
Sprake, David, Monir, Shafiul, Vagapov, Yuriy, Bolam, Robert and Elcock, David (2025) Modelling and Optimisation of Shared Renewable Energy Microgrid for Proposed UK Residential Community. Modelling and optimisation of shared renewable energy microgrid for proposed UK residential community, 341 (139383). ISSN 0360-5442
|
Text
WURO_1-s2.0-S036054422505025X-main.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
Abstract
To end fossil fuel usage in new residential housing, new ways of powering future buildings need to be explored. This paper formulates an optimal solution using available technology for a case study of a proposed 1000-property housing estate in the UK, without the use of gas, maximising a shared renewable energy grid, and minimising grid electricity. Predicted energy demand for 2050 was modelled in 1-h periods over ten years for electricity usage, domestic hot water heating and electric vehicle charging. Heating degree day ambient temperature records over 10 years were used to calculate heating requirements. For the proposed location, 10 typical years of hourly wind and solar meteorological data were obtained and modelled to convert it into renewable energy potential for any proposed scenario. Additionally, the ability to add energy storage and different levels of housing thermal insulation standards was modelled. Numerous different systems and scenarios were explored, analysed, and tested for energy production vs demand, energy security, financial costs, and benefits. A practical optimal solution was concluded, depending on key performance indicators. Using real data, this research demonstrates that community-owned renewable energy smart grids for housing estates are not only possible but also offer considerable financial benefits for homeowners.
| Item Type: | Article |
|---|---|
| Keywords: | Sustainable energy systemsApplication of smart gridsEnergy resourcesSustainable housingRenewable energyCommunity energyEnergy modelling |
| Divisions: | Applied Science, Computing and Engineering |
| Depositing User: | Hayley Dennis |
| Date Deposited: | 16 Jul 2026 10:30 |
| Last Modified: | 16 Jul 2026 10:30 |
| URI: | https://wrexham.repository.guildhe.ac.uk/id/eprint/18471 |
Actions (login required)
![]() |
Edit Item |

