
doi: 10.2172/10132077
The project will provide the utility industry with a PC expert system to confidently and inexpensively evaluate the potential for coal cleaning, blending, and switching options to reduce emissions while producing lowest cost electricity. Specifically, this project will: (1) Enhance the existing Coal Quality Information System (CQIS) database and Coal Quality Impact Model (CQIM) to allow confident assessment of the effects of cleaning on specific boiler cost and performance; (2) Develop and validate a methodology, Coal Quality Expert (CQE) which allows accurate and detailed predictions of coal quality impacts on total power plant capital cost, operating cost, and performance based upon inputs from inexpensive bench-scale tests.
20 Fossil-Fueled Power Plants, Data Base Management, Progress Report, Economics, Personal Computers, Fuel Substitution, Cleaning, Computing, Expert Systems, Economic, 99 General And Miscellaneous//Mathematics, And Business Aspects, Mathematics And Computers, Coal, Mixing, And Information Science, Electric Utilities, Industrial, Computerized Simulation, 990200, Air Pollution Abatement, Forecasting 200600
20 Fossil-Fueled Power Plants, Data Base Management, Progress Report, Economics, Personal Computers, Fuel Substitution, Cleaning, Computing, Expert Systems, Economic, 99 General And Miscellaneous//Mathematics, And Business Aspects, Mathematics And Computers, Coal, Mixing, And Information Science, Electric Utilities, Industrial, Computerized Simulation, 990200, Air Pollution Abatement, Forecasting 200600
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
