Reference Number
NIA_NGGD0052
Title
Demand Allocation Phase 2
Energy Categories
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas)
Research Types
Applied Research and Development
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Project Contact
Cadent Gas
Award Type
Network Innovation Allowance
Start Date
01 February 2015
End Date
01 November 2015
Total Grant Value
£340,733
Industrial Sectors
Technical Consultancy
Programme
Network Innovation Allowance
Investigators
Principal Investigator
Objectives
The aim of this project is to further develop a tested prototype database and application to undertake data conflation, demand classification and spatial allocation, of the demand within some sampled network analysis models, produce example results and build on the next steps necessary to implement the system as business as usual. Success of this project will be the development of a new prototype database, application and process that is proven to be consistent and developed around a methodology that is readily applicable to network models and has a positive effect in reducing any security of supply risk and also reduces the level of intervention required.
Abstract
National Grid Gas Distribution plans its below 7 bar networks in accordance with industry guidance document IGE/GL/1. The Graphics Based Network Analysis (GBNA) and Demand Derivation System (DDS) are the primary systems utilized in the Network Analysis element of the overall planning process. Key inputs to the GBNA and DDS systems are customer Meter Point Reference Number (MPRN) data, Standard Industrial Classification (SIC) codes and the network location of the demand - node. Current processes to maintain and manage this data are labour intensive and require significant training with the inherent risk of inconsistency of application which has the potential for security of supply and financial impacts. This project therefore seeks to develop a more robust, transparent and repeatable method of classifying and allocating the demand within the network model. This project seeks to develop work carried out under a previous Innovation Funding Incentive (IFI) project, through the innovative use of a combination of socio-economic, Ordnance Survey and customer demand data to better classify and allocate the demand within the network model.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Added to Database
09/08/18