Projects
Projects: Projects for Investigator |
||
| Reference Number | NIA_NGET0028 | |
| Title | Impact of extreme events on power production at the scale of a single wind-farm | |
| Status | Completed | |
| Energy Categories | Renewable Energy Sources(Wind Energy) 50%; Other Power and Storage Technologies(Electricity transmission and distribution) 50%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 25%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 January 2013 | |
| End Date | 01 July 2014 | |
| Duration | 18 months | |
| Total Grant Value | £150,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (100.000%) |
| Web Site | http://www.smarternetworks.org/project/NIA_NGET0028 |
|
| Objectives | The objective of this project is to develop advanced models that have the capability of forecasting wind power output more accurately. Conference-style paper summarising literary research Deliver Model Code Provide presentation of code results Full project report delivered describing method, approach, findings and areas of interest for future research | |
| Abstract | The generation mix in the UK is changing. Controllable large thermal generation units located relatively close to centres of electricity demand are being closed down. Dispersed intermittent, predominantly wind generation located towards the periphery of the network are being developed. This is radically changing the nature of system management and increasing the complexity of the problem. Knowledge about generation patterns and network flows are essential to the appropriate placement of network outages as well as balancing the cost and risks of procuring necessary energy reserves. Wind power forecasts have become essential to the safe and economic operation of the GB transmission system. As experience has been gained in the process of generating forecasts and improving their accuracy it has become apparent that there is a need to better understand extreme meteorological events. The current models used by National Grid are based upon mean wind speed at the average hub height of the wind farm. It is known that this approximation leads to varying degrees of forecast error. It is anticipated that incorporating more detail about the true nature of wind flow will improve this significantly. Specifically information describing different forms of turbulence caused by convection or wake from terrain and neighbouring wind farms is believed to be very significant. Research The method that has been proposed for this project includes; Report on relevant literature and comparison of academic and industry approaches (small scale wind activities Conference-style paper summarising literary research Report on proposed model design including inputs and outputs. Results from initial model scoping work. Deliver Model Code Report on activities, findings and progress Integrate wind-field model with turbine characteristics to give power output (follow methodology of D. Drew; use a range of different turbine models) Updated Model Code Report on activities, findings and progress Undertake simulations for a range of atmospheric conditions leading to extreme gust conditions; Provide presentation of code results Full project report delivered describing method, approach, findings and areas of interest for future researchNote : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 20/08/18 | |
