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TECHNICAL PAPERS

Microturbines and Trigeneration: Optimization Strategies and Multiple Engine Configuration Effects

[+] Author and Article Information
S. Campanari, L. Boncompagni, E. Macchi

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

J. Eng. Gas Turbines Power 126(1), 92-101 (Mar 02, 2004) (10 pages) doi:10.1115/1.1622410 History: Received December 01, 2001; Revised March 01, 2002; Online March 02, 2004
Copyright © 2004 by ASME
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References

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, Proceedings of World Gas Conference 2000, Nice, June IGUTCC, France, pp. 55–82.
Kincaid, D. E., 1999, “Distributed Generation: A Primer,” Gas Research Institute, Diesel&Gas Turbine–Distributed power, BPA International, Oct.
Green, S., 2001, “Distributed Generation—A New Wave,” Power Engineering International, PennWell, Mar.
Campanari,  S., and Macchi,  E., 2001, “Potential Developments in Gas-Fired Microturbines: Hybrid Cycles and Trigeneration,” Cogeneration and On-site Power Production, 2 (2) (Mar.).
De Biasi, V., 2001, “DOE Developing Technology Base for Advanced Microturbine Designs,” Gas Turbine World, Pequot, CT, 31 , (4), July.
Consonni, S., Lozza, G., and Macchi, E., 1989, “Optimization of Cogeneration Systems Operation—Part A: Prime Movers Modelization,” Proceedings of the 1989 ASME Cogen-Turbo Symposium, Nice, Aug., ASME, New York, pp. 313–322.
Consonni, S., Lozza, G., and Macchi, E., 1989, “Optimization of Cogeneration Systems Operation—Part B: Solution Algorithm and Examples of Optimum Operating Strategies,” Proc. of the 1989 ASME Cogen-Turbo Symposium, Nice, France, Aug. ASME, New York, pp. 323–331.
Anon., 2000, “Statistical Data on Electricity in Italy” GRTN, Italy.
Bombarda, P., 2001, “Survey of Commercial ERC Performance,” Technical Report, Department of Energetics, Politecnico di Milano.
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.
Campanari, S., and Boncompagni, L., 2001, “Experimental Acquisition of Emission Data From a Commercial Microturbine,” Internal Technical Note, Department of Energetics, Politecnico di Milano.
Anon., 1999, “Performance and Electrical Characterization Tests on a Microturbine Commercial Prototype,” EPRI-TR 114270, Dec.
Carnö, J., Cavani, A., and Liinanki, L., 1998, “Micro Gas Turbine for Combined Heat and Power in Distributed Generation,” ASME Paper 98-GT-309.
Gliddon-Bush, C., 2001, “Micro Size, Maximum Efficiency,” Power Engineering International, Cogeneration supplement, PennWell, July.

Figures

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Plant configurations considered in the present paper (see description in the text)
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Detail of the energy flows for the optimum solution (#1 of Table 2) discussed in 3.2
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Daily demand and temperature profiles for the “average cold” winter working day
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Daily demand and temperature profiles for the “average hot” summer working day
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Daily demand and temperature profiles for a half-season working day
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Annual load profiles for the cooling, heating and electric demand (Cd,Hd,Ed), calculated on a weekly base. Each set of three curves represents maximum, average, and minimum loads, except for the cooling load where the minimum is zero.
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Optimization of nominal MTG output versus building size for a cogenerative (heat+electricity) load, with respect to conventional solutions with (a) NGB and (b) EHP
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Optimization of nominal MTG output versus building size for a trigenerative (heat+cooling+electricity) load. MTG operates with AC+ERC+NGB and is compared to ERC+NGB systems.
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Same as Fig. 8 without AC
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Temperature distribution and heat exchanger arrangement of the EHP/ERC system. Temperature of two-phase processes varies due to pressure losses.
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Comparison of test results and simulated MTG performances
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Test results for MGT emissions and primary energy savings (EES)/first law efficiency versus load
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NGB thermal efficiency versus load curve

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