Gas Turbines: Microturbines and Small Turbomachinery

Optimal Gas-Turbine Design for Hybrid Solar Power Plant Operation

[+] Author and Article Information
James Spelling1

Department of Energy Technology,  Royal Institute of Technology, SE-100 44 Stockholmjames.spelling@energy.kth.se

Björn Laumert

Department of Energy Technology,  Royal Institute of Technology, SE-100 44 Stockholmbjorn.laumert@energy.kth.se

Torsten Fransson

Department of Energy Technology,  Royal Institute of Technology, SE-100 44 Stockholmtorsten.fransson@energy.kth.se


Corresponding author.

J. Eng. Gas Turbines Power 134(9), 092301 (Jul 23, 2012) (9 pages) doi:10.1115/1.4006986 History: Received June 16, 2012; Revised June 19, 2012; Published July 23, 2012; Online July 23, 2012

A dynamic simulation model of a hybrid solar gas-turbine power plant has been developed, allowing determination of its thermodynamic and economic performance. In order to examine optimum gas-turbine designs for hybrid solar power plants, multiobjective thermoeconomic analysis has been performed, with two conflicting objectives: minimum levelized electricity costs and minimum specific CO2 emissions. Optimum cycle conditions: pressure-ratio, receiver temperature, turbine inlet temperature and flow rate, have been identified for a 15 MWe gas-turbine under different degrees of solarization. At moderate solar shares, the hybrid solar gas-turbine concept was shown to provide significant water and CO2 savings with only a minor increase in the levelized electricity cost.

Copyright © 2012 by American Society of Mechanical Engineers
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Figure 1

Measured efficiency and daily output of the SEGS-XI solar thermal power plant as a function of daily direct normal irradiation [1]

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Figure 2

Hybrid solar gas-turbine power plant flow sheet for a serial hybridization arrangement

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Figure 3

Temperature-entropy diagram for a hybrid solar gas-turbine cycle. Pressure and piping losses have been exaggerated for emphasis.

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Figure 4

TRNSYS model of the hybrid solar gas-turbine power plant showing both material and information flows

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Figure 5

Layout of a cell-wise heliostat field model

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Figure 6

Local heliostat field mirror density as a function of the normalized distance from the central tower [13]

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Figure 7

Pareto-optimal frontier for a generic trade-off between quality and cost

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Figure 8

Evolutionary algorithm convergence from an initial population of 120 through 30 generations

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Figure 9

Pareto-optimal power plant temperatures

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Figure 10

Receiver temperature as a function of thermal power delivered to the receiver, for different solar multiples

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Figure 11

Pareto-optimal compressor pressure ratios

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Figure 12

Gas-turbine heat rate for Pareto-optimal designs

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Figure 13

Specific CO2 emissions and specific water consumption as a function of annual solar share for Pareto-optimal power plant designs

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Figure 14

Levelized electricity cost as a function of annual solar share for Pareto-optimal power plant designs

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Figure 15

Specific CO2 emissions versus levelized electricity cost for different power plants (at 50% capacity factor) [(23),24]




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