Forecasting Climate Change Impacts on Urban Electricity Distribution Network Loads
Reference Number
InnUK/102351/01
Title
Forecasting Climate Change Impacts on Urban Electricity Distribution Network Loads
Status
Completed
Energy Categories
Other Power and Storage Technologies(Electricity transmission and distribution)
Research Types
Applied Research and Development
Science and Technology Fields
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Project Contact Element Energy
Award Type
Collaborative Research & Development
Funding Source
Innovate UK
Start Date
01 July 2015
End Date
31 March 2017
Duration
21 months
Total Grant Value
£243,869
Industrial Sectors
Region
East of England
Programme
Competition Call: 1412_CRD2_FUT_CIT_SUCD - Solving Urban Challenges with Data - CRD. Activity Solving urban challenges with data
Growing electricity demand and on-site generation in urban areas means that urban electricity networks require significant reinforcement. Much of the 43 billion that distribution network operators (DNOs) in the UK are forecast to spend out to 2050 on reinforcing the electricity networks feeding UK homes and businesses is expected to be deployed in constrained urban areas. While DNOs currently have access to load forecasting tools to plan this investment process by specific region and individual asset, there is currently no way of quantifying how climate change impacts on demand (e.g. more summer cooling and less winter heating) and distributed generation (e.g. changing average solar insolation and wind levels) will influence the extent of urban network upgrades required. To solve this problem, we will research and develop a full commercial tool integrating Met Office climate forecast data with DNO load data to identify the size and network location of potential climate change load impacts on urban electricity networks, resolved to individual network assets (all London primary substations in the first instance) under various climate change scenarios.Growing electricity demand and on-site generation in urban areas means that urban electricity networks require significant reinforcement. Much of the 43 billion that distribution network operators (DNOs) in the UK are forecast to spend out to 2050 on reinforcing the electricity networks feeding UK homes and businesses is expected to be deployed in constrained urban areas. While DNOs currently have access to load forecasting tools to plan this investment process by specific region and individual asset, there is currently no way of quantifying how climate change impacts on demand (e.g. more summer cooling and less winter heating) and distributed generation (e.g. changing average solar insolation and wind levels) will influence the extent of urban network upgrades required. To solve this problem, we will research and develop a full commercial tool integrating Met Office climate forecast data with DNO load data to identify the size and network location of potential climate change load impacts on urban electricity networks, resolved to individual network assets (all London primary substations in the first instance) under various climate change scenarios.Growing electricity demand and on-site generation in urban areas means that urban electricity networks require significant reinforcement. Much of the 43 billion that distribution network operators (DNOs) in the UK are forecast to spend out to 2050 on reinforcing the electricity networks feeding UK homes and businesses is expected to be deployed in constrained urban areas. While DNOs currently have access to load forecasting tools to plan this investment process by specific region and individual asset, there is currently no way of quantifying how climate change impacts on demand (e.g. more summer cooling and less winter heating) and distributed generation (e.g. changing average solar insolation and wind levels) will influence the extent of urban network upgrades required. To solve this problem, we will research and develop a full commercial tool integrating Met Office climate forecast data with DNO load data to identify the size and network location of potential climate change load impacts on urban electricity networks, resolved to individual network assets (all London primary substations in the first instance) under various climate change scenarios.
Data
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Projects
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Publications
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Added to Database
01/12/17
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