Reference Number
NIA_WWU_001
Title
Diurnal Storage (Phase 2)
Energy Categories
Other Power and Storage Technologies(Energy storage)
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
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics)
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 2013
Total Grant Value
£396,940
Programme
Network Innovation Allowance
Investigators
Principal Investigator
Objectives
The project objective is to build, test and support implementation of a system that applies new modelling techniques and methodologies for predicting diurnal storage needs for a GDN to support both investment and operational planning activities. A more robust and, crucially, defensible storage estimation model that can be used to: Predict the 1:20 storage requirement Predict the likely storage requirement away from peak. Allow GDNs to investigate in more detail, factors that affect/influence the diurnal storage requirements.
Abstract
To understand factors that influence the storage requirements, aiding a Gas Distribution Network to make efficient investments or flex bookings and demonstrate regulatory compliance. On any supply day the DNCC has to ensure that sufficient storage is available to meet the customer requirements, taking account of any forecast errors and minimising the storage take from the National Transmission System. This project will potentially have a 2 stage approach. Firstly with the development of an application that will form the basis of providing a better analysis tool. This will in turn provide a good foundation on which to conduct more innovation in a future project stage.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Added to Database
09/08/18