Research Papers

A Thermo-Economic Study of Storage Integration in Hybrid Solar Gas-Turbine Power Plants

[+] Author and Article Information
James Spelling

Department of Energy Technology,
KTH Royal Institute of Technology,
Stockholm SE-100 44, Sweden
e-mail: james.spelling@energy.kth.se

Rafael Guédez

Department of Energy Technology,
KTH Royal Institute of Technology,
Stockholm SE-100 44, Sweden
e-mail: rafael.guedez@energy.kth.se

Björn Laumert

Department of Energy Technology,
KTH Royal Institute of Technology,
Stockholm SE-100 44, Sweden
e-mail: bjorn.laumert@energy.kth.se

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received November 21, 2012; final manuscript received July 24, 2014; published online August 25, 2014. Assoc. Editor: Markus Eck.

J. Sol. Energy Eng 137(1), 011008 (Aug 25, 2014) (10 pages) Paper No: SOL-12-1318; doi: 10.1115/1.4028142 History: Received November 21, 2012; Revised July 24, 2014; Accepted July 28, 2014

A thermo-economic simulation model of a hybrid solar gas-turbine (HSGT) power plant with an integrated storage unit has been developed, allowing determination of the thermodynamic and economic performance. Designs were based around two representative industrial gas-turbines: a high efficiency machine and a low temperature machine. In order to examine the trade-offs that must be made, multi-objective thermo-economic analysis was performed, with two conflicting objectives: minimum investment costs and minimum specific carbon dioxide (CO2) emissions. It was shown that with the integration of storage, annual solar shares above 85% can be achieved by HSGT systems. The levelized electricity cost (LEC) for the gas-turbine system as this level of solar integration was similar to that of parabolic trough plants, allowing them to compete directly in the solar power market. At the same time, the water consumption of the gas-turbine system is significantly lower than contemporary steam-cycle based solar thermal power plants.

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Fig. 1

Flow diagram for the HSGT with integrated storage

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Fig. 2

Receiver temperature as a function of the thermal power delivered to the receiver, for different values of the SM

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Fig. 3

Pressurized regenerative thermal energy storage concept

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Fig. 4

TRNSYS model of the solar gas-turbine power plant with storage integration

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Fig. 5

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

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Fig. 6

Evolutionary algorithm convergence through 90 generations

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Fig. 7

Locations of the final Pareto-optimal frontiers

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Fig. 8

Investment costs as a function of the annual solar share

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Fig. 9

Levelized cost of electricity as a function of the annual solar share

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Fig. 10

Solar electricity costs for the storage-integrated power plants

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Fig. 11

Annual solar share as a function of the SM

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Fig. 12

Storage capacity as a function of the annual solar share

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Fig. 13

CO2 emissions as a function of the annual solar share

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Fig. 14

Water consumption as a function of the annual solar share

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Fig. 15

Thermo-economic performance of the gas-turbines with storage




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