Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGGT0074 | |
| Title | Next Generation Predictive Emission Monitoring Validation (PEMS) | |
| Status | Completed | |
| Energy Categories | Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Chemistry) 50%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 50%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Gas Transmission |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 March 2016 | |
| End Date | 01 February 2017 | |
| Duration | 17 months | |
| Total Grant Value | £151,000 | |
| Industrial Sectors | Technical Consultancy | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Gas Transmission (100.000%) |
| Web Site | http://www.smarternetworks.org/project/NIA_NGGT0074 |
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| Objectives | The primary objective is to assess the suitability of the PEMS model in predicting NOx and CO emissions over a range of operating and ambient conditions by comparing predicted emissions to actual measured values taken by a dedicated measurement device (commonly referred to as a CEMS system). The results from this project may also be used to improve the current prototype model and provide even more accurate predicted emissions. An assessment of the PEMS model based on a comparison to measured values taken over the same period, which should include a range of ambient and operating conditions. Modification to the PEMS model periodically is expected as more data becomes available. In-house trials suggest that an accuracy of +/-5ppm relative to measured values can be achieved on NOx and CO levels down to 50% loads. It is expected that a similar accuracy can be obtained from the field trial. The stability of the PEMS software should also be assessed, although it is not possible to assign a value to this. The PEMS should deliver at the emission limit value 95% confidence intervals of a single result that shall not exceed 10% for carbon monoxide and 20% for nitrogen oxides to be in line with the uncertainty requirements of continuous emission monitoring systems in Annex 5 Part III of the Industrial Emissions Directive. | |
| Abstract | National Grid currently operates a Predictive Emission Monitoring System (PEMS) for all gas turbines at compressor stations on the National Transmission System (NTS). As gas turbine technology develops to meet new EU regulations imposing stricter emissions to air the turbine control systems are becoming more complex. These more complex control systems require more complex PEMS to provide accurate emissions. National Grid wishes to be at the forefront of these developments with a trial of a turbine OEM PEMS. Siemens prototype Predictive Emissions Monitoring System (PEMS) will be fitted on a National Grid site running an SGT-400 gas turbine over the period of approximately one year. During this period the following will be carried out:1. The prototype PEMS system is in the form of a software package that will be installed on a PC or laptop. This will require a data link to the engine controls system (note that this only needs to be a one way link - in its current form no data from the PEMS system is transferred to the controls system). In its most basic form, the prototype PEMS system uses parameters from the engine control system in a calculation and prediction algorithm which is then used to predict NOx and CO emissions2. Measurements and calculated parameters required in the PEMS model can be obtained from the default controls system. Using a stand-alone PC or laptop approach ensures that the prototype algorithm is kept separate from the engine controls system during its validation phase. 3. The PEMS system should be run throughout the period of one year with minimal downtime. The more data obtained, the wider a range of operating conditions the PEMS system can be validated against, providing that continuous actual emissions measurement is obtained at the same time (see note 4 )4. Regularly (preferably continuously) record actual emission levels using a dedicated measurement device. Generally referred to as measured values. Ensure that the results from the measurement device are time-synchronised with the results from the PEMS software. It would be preferable (although not mandatory) to record both sets of results in one location5. Monitor predicted values using Siemens prototype PEMS system and compare to measured values. Ideally this will be performed remotely. However, should this not be possible then periodic visits to site to obtain the data taken so far will be required Assess viability of prototype PEMS system and investigate potential for improvement. Viability will be assessed by comparing the difference between measured and predicted values (accounting for uncertainty) and assessing the range of operating conditions the PEMS system has been run over. Potential for improvement could be, for example, improving the constant offset values in the PEMS model as a wider range of operating conditions is obtained (thus filling in the blanks from in-house testing), or improving the software itself to run more efficiently or provide improved user feedback.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 | 14/09/18 | |
