@article{Few:2020:10.1016/j.renene.2020.08.025,
author = {Few, S and Djapic, P and Strbac, G and Nelson, J and Candelise, C},
doi = {10.1016/j.renene.2020.08.025},
journal = {Renewable Energy},
pages = {1140--1150},
title = {Assessing local costs and impacts of distributed solar PV using high resolution data from across Great Britain},
url = {http://dx.doi.org/10.1016/j.renene.2020.08.025},
volume = {162},
year = {2020}
}

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TY  - JOUR
AB  - Highly spatially resolved data from across Great Britain (GB) are combined with a distribution network modelling tool to assess impacts of distributed photovoltaic (PV) deployment up to 2050 on local networks, the costs of avoiding these impacts, and how these depend upon context. Present-day deployment of distributed PV, meter density, and network infrastructure across GB are found to be highly dependent on rurality, and data on these are used to build up three representative contexts: cities, towns, and villages. For each context, distribution networks are simulated, and impacts on these networks associated with PV deployment and growth in peak load up to 2050 calculated. Present-day higher levels of PV deployment in rural areas are maintained in future scenarios, necessitating upgrades in ambitious PV scenarios in towns and villages from around 2040, but not before 2050 in cities. Impacts of load growth are more severe than those of PV deployment, potentially necessitating upgrades in cities, towns, and villages from 2030. These are most extensive in cities and towns, where long feeders connect more customers, making networks particularly susceptible to impacts. Storage and demand side response are effective in reducing upgrade costs, particularly in cities and towns.
AU  - Few,S
AU  - Djapic,P
AU  - Strbac,G
AU  - Nelson,J
AU  - Candelise,C
DO  - 10.1016/j.renene.2020.08.025
EP  - 1150
PY  - 2020///
SN  - 0960-1481
SP  - 1140
TI  - Assessing local costs and impacts of distributed solar PV using high resolution data from across Great Britain
T2  - Renewable Energy
UR  - http://dx.doi.org/10.1016/j.renene.2020.08.025
UR  - https://www.sciencedirect.com/science/article/pii/S0960148120312623?via%3Dihub
UR  - http://hdl.handle.net/10044/1/82735
VL  - 162
ER  - 

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