Abstract
AbstractMeeting climate targets requires widespread deployment of low-carbon technologies such as distributed photovoltaics, heat pumps and electric vehicles. Without mitigating actions, changing power flows associated with these technologies would adversely impact some local networks. The extent of these impacts, and the optimal means of avoiding them, remains unclear. Here we use local-level data and network simulation to estimate variation in future network upgrade costs in over 40,000 geographical regions comprising all of Great Britain. We find that costs vary substantially between localities, and are typically highest in urban areas, and areas with highest deployment of heat pumps and electric vehicles. We estimate reductions in required upgrades associated with local flexibility, which vary substantially between localities. We show that using geographically disaggregated data to inform flexibility deployment across the country could reduce network upgrade costs by hundreds of millions of pounds relative to an approach that treats localities as homogeneous.
Funder
RCUK | Engineering and Physical Sciences Research Council
Royal Society
Publisher
Springer Science and Business Media LLC
Reference80 articles.
1. Rogelj, J. et al. in Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) Ch. 2 https://www.ipcc.ch/sr15/ (IPCC, WMO, 2018).
2. National Grid ESO Future Energy Scenarios www.nationalgrideso.com/future-energy/future-energy-scenarios (2023).
3. HM Government Net Zero Strategy: Build Back Greener https://www.gov.uk/government/publications/net-zero-strategy (2021).
4. Few, S., Djapic, P., Strbac, G., Nelson, J. & Candelise, C. Assessing local costs and impacts of distributed solar PV using high resolution data from across Great Britain. Renew. Energy 162, 1140–1150 (2020).
5. Oduro, R. A. & Taylor, P. G. Future pathways for energy networks: a review of international experiences in high income countries. Renew. Sustain. Energy Rev. 171, 113002 (2023).