Advanced Manufacturing Research & Development at DOE h2atscale workshop_johnson
Coal Fired Boilers Efficiency
1. Increasing Energy Efficiency and Reducing GHGs Emissions and Fuel input by Coal-Fired Plants Adam J. Szladow REDUCT & Lobbe Technologies and Bruce Clements CANMET, Natural Resources Canada
2. Background Szladow, A.J., “Performance and Emission Improvement in Thermal Generation Plants Using Optim/RT and DecisionExpert Systems”, The 28th International Technical Conference on Coal Utilization and Fuel Systems, Clearwater, Florida, March 10 – 13, 2003. Szladow, A.J., “Automated Fault Detection and Diagnosis Systems (AFDDS) for Industrial Process Energy and Performance Improvement, NRCan, Canadian Energy Technology Center, 2008. Szladow, A.J., “Data Analytics and Data Visualization”, DevTeach International Developers Conference, Vancouver, November 26-30, 2007. Szladow, A.J. and Clemants, B., “Increasing Energy Efficiency and Reducing GHGs Emissions and Fuel input by Coal-Fired Plants,” CEATI, Washington, DC, October 28, 2009.
8. What Does It Mean? ±10% approach incorrect: Plants behavior (efficiencies) described by many patterns (groups) The patterns are non-linear and defined by plant design and operations Each pattern describes a bench-mark for possible improvement
17. Discovered Patterns of Boilers 1Productivity Improvement for Fossil Power Plants: One Hundred Case Studies, EPRI 2005
18. Boiler Efficiency Summary There are strong non-linear relationships between boiler/plant performance and variables in DOE/NETL database A number of clear patterns could be identified The patterns show possible efficiency improvements of up to 2-3 percent, valued at ½ to 1.5 million dollars in operational savings Additional efficiency improvements are possible for the plant generator and should be investigated A Research Proposal is presented by REDUCT to CEARI for utility funding (bellow)
19. Work Statement: Analysis of Performance Patterns in Clients Coal-Fired Power Plants Database Identifying different boiler/plant clusters based on client database including their critical factors and performance/emissions patterns Determining, for each cluster, possible improvements in performance and emissions given the limiting factors and operating procedures. Establishing important factors for the design of future generation plants including potential benefits to utilities from
20. Work Statement Task 1. Analysis of Key Performance Factors Influencing Efficiency Task 2. Analysis of Plants Design and Performance Characteristics Task 3. Analysis of Efficiency Improvements and GHGs Reductions Task 4. Analysis of Possible Improvements to Sponsors' Plants Task 5. Monthly Progress Reports and a Final Report
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22. The max efficiency to be expected for their boilers/plants based on the US boilers/plants database.
23. A list of possible specific measures for increasing boiler/plant efficiencies
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25. Summary “The way to success is no longer knowledge and information only, it is experience and insight into information.”