Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_CAD0003 | |
| Title | Connections Forecasting Feasibility Study | |
| Status | Completed | |
| Energy Categories | Fossil Fuels: Oil Gas and Coal(Oil and Gas, Other oil and gas) 75%; Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 25%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given Cadent Gas |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 May 2017 | |
| End Date | 01 July 2017 | |
| Duration | 2 months | |
| Total Grant Value | £26,022 | |
| Industrial Sectors | Technical Consultancy | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Cadent Gas (99.997%) |
| Other Investigator | Project Contact , Science Research Centre, Coventry University (0.001%) Project Contact , Coventry University (0.001%) Project Contact , Engineering and Computing, Coventry University (0.001%) |
|
| Web Site | http://www.smarternetworks.org/project/NIA_CAD0003 |
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| Objectives | The Objective of this Project is to determine whether it is feasible to create a forecasting model for future UK connections demand. If we can’t deliver this model, why is it not feasible? If we can, Coventry University is tasked with creating an accurate forecasting model that meets all of the desired criteria set out in the Project brief. A categorical analysis of whether we can accurately forecast Connection demands for a future period of 7 yearIf we can, Coventry University, as our partner, must develop a forecasting model that incorporates all requested variables as well as accurately predicting the role we, as a business, will have to play as the Connections market continues to develop. | |
| Abstract | Lack of clarity over Connection market share and no accurate forecasting model for future Connections workload. In order to provide excellent service to our customers, we need to ensure sufficient resources are available to meet our customer’s requirements and aspirations. Short to medium term regional workload forecasts will facilitate effective resource planning. In addition, our Regulator requires us to forecast future workloads when considering our future allowances. The objective of this study is to identify total market, and any correlation with, for example, housebuilding? What drives the changes in that factor, such as government policy and economic factors, and then to identify what Cadent’s market share is, dependent on a range of factors such as, pricing, reputation, marketing and overall company strategy. Project to be broken down into two Phases - both Phases to be delivered by our project partners at Coventry University. Phase 1 - to last two calendar months, with its deliverable being a Feasibility report confirming whether such a forecasting model is feasible, the timescales to produce the model, the data requirements, the development costs, the ongoing maintenance costs and the success criteria for the model. This Feasibility report is to be reviewed by National Grid Gas Distribution before a decision is made to move the Project onto Phase 2. Phase 2 consists of Coventry University developing and testing the agreed model, against the success criteria set out.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 09/08/18 | |
