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TECHNICAL PAPERS: Gas Turbines: Industrial and Cogeneration

Technical and Tariff Scenarios Effect on Microturbine Trigenerative Applications

[+] Author and Article Information
Stefano Campanari, Ennio Macchi

Energetics Department, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italye-mail: ennio.macchi@polimi.it

J. Eng. Gas Turbines Power 126(3), 581-589 (Aug 11, 2004) (9 pages) doi:10.1115/1.1762904 History: Received October 01, 2002; Revised March 01, 2003; Online August 11, 2004
Copyright © 2004 by ASME
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References

Green, S., 2001, “Distributed Generation—A New Wave,” Power Engineering International, PennWell, Mar.
Gliddon-Bush, C., 2001, “Micro Size, Maximum Efficiency,” Power Engineering International, PennWell, July.
Malrup, L., 2002, “Gaining Experience With Microturbine CHP,” Cogeneration and On-Site Power Production, James and James, eds., 3 , May, pp. 60–63.
Anon., 2002, “Landmark Installation for Micro-CHP,” Modern Power Systems, Wilmington Publishing, May.
Campanari,  S., Boncompagni,  L., and Macchi,  E., 2002, “Microturbines and Trigeneration: Optimization Strategies and Multiple Engine Configuration Effects,” ASME Paper No. 2002-GT-30417, to be published on ASME J. Eng. Gas Turbines Power.
Roncato, J. P., and Macchi, E., 2000, “Report of Study Group 7.2: Comparison of Medium or Large Scale CHP and Combined Cycles, in Various Countries,” Woc7 Report, Proc. of World Gas Conference 2000, Nice, June, pp. 55–82.
Campanari, S., and Macchi, E., 2002, “Future Potentials of MTGs: Hybrid Cycles and Tri-Generation,” in Micro Turbine Generators, M. J. Moore, ed., Professional Engineering Publishing Ltd., IMechE, London, Chap. 4, pp. 43–66.
Campanari,  S., 2000, “Full Load and Part-Load Performance Prediction for Integrated SOFC and Microturbine Systems,” ASME J. Eng. Gas Turbines Power, 122, pp. 239–246.
Kobayashi, H. et al., 1998, “Current Status of Ceramic Gas Turbine (GT302),” ASME Paper 98-GT-501.
Ohashi,  I., and Arakawa,  S., 1995, “Development of 300 kW Class Ceramic Gas Turbine (CGT 303),” ASME J. Eng. Gas Turbines Power, 117, p. 777.
Taoka, T. et al., 1998, “Current Status of the CGT301, Ceramic Gas Turbine,” ASME Paper 98-GT-288.
Campanari, S., and Boncompagni, L., 2001, “Experimental Acquisition of Emission Data From a Commercial Microturbine,” Internal Technical Note, Department of Energetics, Politecnico di Milano, Sept.
Anon., 1999, “Performance and Electrical Characterization Tests on a Microturbine Commercial Prototype,” EPRI-TR 114270, Dec.
Anon., 2002, “T100 Microturbine CHP System Technical Description,” D10293 Ver. 5.0, Turbec AB, Sweden.
De Biasi, V., 2001, “DOE Developing Technology Base for Advanced Microturbine Designs,” Gas Turbine World, Pequot Fairfield, CT, 31 (4).
Anon., 2002, “Methodology for Determining the Efficiency of Cogeneration Production,” Annex III of “Proposal for a Directive of the European Parliament and of the Council on the promotion of cogeneration”—2002/0185 (COD), Brussels, July.
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Figures

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Effect of taxation on investment IRR
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Effects of operation with target EES as constraint on IRR and first-law efficiency. Dots indicate the configurations resulting from economic optimization.
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Effects of MTG efficiency on the optimization of MTG versus building size, by the point of view of first-law efficiency and EES
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Effects of MTG efficiency on the optimization of MTG versus building size, by the point of view of NPV and economic savings on the energy bill
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Weekly analysis of plant EES and economic savings on the energy bill
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Effect of fuel cost on system IRR and MTG firing hours per year
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MTG part-load performance. The actual operating range considered in the simulation is limited to 60–100% due to specific emissions limitation.
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Influence of electricity purchase/sale cost ratio (RMF) on system IRR and on the fraction of electricity sold/electricity generated
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Layout configuration for the trigeneration plant. The ERC/EHP unit may operate with contemporary generation of heating and cooling with a summer configuration (ERC, blue lines) or winter (EHP, red lines, dashed) configuration.
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Yearly distribution of the electric, heating and cooling loads. Lines represent weekly minimum, average, and maximum power, referred to the peak of heat demand (with the exception of the minimum cooling demand which is equal to zero).

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