Air-Based Bottoming-Cycles for Water-Free Hybrid Solar Gas-Turbine Power Plants

Sandoz, Raphaël; Spelling, James; Laumert, Björn; Fransson, Torsten

doi:10.1115/1.4025003

Cited by 28 publications

(6 citation statements)

References 12 publications

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“…N hel,cell,i is the number of heliostats in cell i. r cell,i is the receiver -cell's center distance. Subscripts hel and land refer to heliostat and land, respectively [41]. It should be noted that the cells closer to the receiver have more heliostats; however, shorter cables are required for these cells.…”

Section: Economic Analysismentioning

confidence: 99%

See 1 more Smart Citation

Optimization of a Heliostat Field by Multiobjective Particle Swarm Optimization (MOPSO) Algorithm Based on Energy, Exergy, and Economic Point of Views

Zhang¹,

Bayati²,

Ehyaei³

et al. 2021

Preprint

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This research is devoted to the energy, exergy, and economic analyses and optimization of a heliostat field. The model of the heliostat solar receiver includes detailed geometric factors related to the optical and thermal losses and efficiencies throughout the year. The main parameters of the thermal performance of this system consist of energy and exergy efficiencies, and economic parameters are investigated. By computing the energy, exergy, and economic analysis tools, they are applied for the analysis of performance, and viability of the system’s operating in Tehran City, including the detailed information of the environmental conditions of that location. For optimization purposes, 7 design variables related to geometric specification of the heliostat field are selected and the related lower and upper bonds are selected. Two target functions considered for the optimization are heliostat field exergy efficiency and payback period. The economic feasibility results of this study reveal that the net present value is 58.84 million US$, the payback period is 6.76 years, and the internal rate of return is 0.16. By considering the MOPSO algorithml, the annual mean exergy efficiency is increased from the 30.9–34.3% while the heliostat field payback period in reduced from the 6.76 to 4.3 years.

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Section: Economic Analysismentioning

confidence: 99%

“…It should be noted that the cells closer to the receiver have more heliostats; however, shorter cables are required for these cells. Wiring cost evaluation starts considering that for the cells of the equal area the density of heliostats is obtained as [13,17,39,41,42].…”

Section: Economic Analysismentioning

confidence: 99%

Optimization of a Heliostat Field by Multiobjective Particle Swarm Optimization (MOPSO) Algorithm Based on Energy, Exergy, and Economic Point of Views

Zhang¹,

Bayati²,

Ehyaei³

et al. 2021

Preprint

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show abstract

“…ρ cell,i denotes the heliostat density in A cell,i , which is the area of cell i. r cell,i represents the distance of the cell's center and the receiver. Further information can be obtained from Reference [47,57,[62][63][64]. E TES is the amount of energy stored in the storage tank [60].…”

Section: W Andmentioning

confidence: 99%

Investigation the Integration of Heliostat Solar Receiver to Gas and Combined Cycles by Energy, Exergy, and Economic Point of Views

et al. 2020

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Due to the high amount of natural gas resources in Iran, the gas cycle as one of the main important power production system is used to produce electricity. The gas cycle has some disadvantages such as power consumption of air compressors, which is a major part of gas turbine electrical production and a considerable reduction in electrical power production by increasing the environment temperature due to a reduction in air density and constant volumetric airflow through a gas cycle. To overcome these weaknesses, several methods are applied such as cooling the inlet air of the system by different methods and integration heat recovery steam generator (HRSG) with the gas cycle. In this paper, using a heliostat solar receiver (HSR) in gas and combined cycles are investigated by energy, exergy, and economic analyses in Tehran city. The heliostat solar receiver is used to heat the pressurized exhaust air from the air compressor in gas and combined cycles. The key parameter of the three mentioned analyses was calculated and compared by writing computer code in MATLAB software. Results showed the use of HSR in gas and combined cycles increase the annual average energy efficiency from 28.4% and 48.5% to 44% and 76.5%, respectively. Additionally, for exergy efficiency, these increases are from 29.2% and 49.8% to 45.2% and 78.5%, respectively. However, from an economic point of view, adding the HRSG increases the payback period (PP) and it decreases the net present value (NPV) and internal rate of return (IRR).

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“…Results showed that SBC has the highest thermal efficiency followed by the nonhybrid ABC. Multiobjective optimization of a hybrid ABC with heliostat field collectors were accomplished by Sandoz et al In this study, heliostat field collector was implemented in the topping cycle to preheat the incoming air stream from the compressor. It was reported that the optimum plant capital cost was approximately 119.8 MUS$, while LCOE was 109 US$/MWh.…”

Section: Air Bottoming Cycle Overviewmentioning

confidence: 99%

A critical assessment of thermo‐economic analyses of different air bottoming cycles for waste heat recovery

Saghafifar

Gadalla

2018

Int J Energy Res

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Summary Steam turbine cycle's low operating temperature makes it suitable for waste heat recovery applications. Even though conventional combined cycles, ie, topping gas turbine and bottoming steam turbine cycles, are thermodynamically efficient, they are not the most economical alternatives for power generation with capacities less than 50 MWe. A recently proposed alternative is to utilize a bottoming gas turbine cycle in form of an air bottoming cycle. In this study, an overview of air bottoming cycle is presented. Based on the discussed studies, it is decided to further evaluate the merits of water injection in the bottoming cycle air stream by using either a humidifier or an air saturator. Thermo‐economic analysis and optimization are performed to evaluate simple and water injected air bottoming cycles against steam bottoming cycles. Results indicate that conventional combined cycles can achieve the highest thermal efficiency of about 48%. While water injected air bottoming cycle with air saturator is the most cost effective combined cycle configuration and most efficient air bottoming cycle with levelized cost of electricity and energy efficiency of 64.41 US$/MWh and 39%–40%, respectively, followed by the water injected air bottoming cycle with humidifier and simple air bottoming cycle with reported levelized cost of electricity of 65.75 US$/MWh, 66.36 US$/MWh, respectively. Steam bottoming cycle has the highest levelized cost of electricity of 68.88 US$/MWh.

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Air-Based Bottoming-Cycles for Water-Free Hybrid Solar Gas-Turbine Power Plants

Cited by 28 publications

References 12 publications

Optimization of a Heliostat Field by Multiobjective Particle Swarm Optimization (MOPSO) Algorithm Based on Energy, Exergy, and Economic Point of Views

Optimization of a Heliostat Field by Multiobjective Particle Swarm Optimization (MOPSO) Algorithm Based on Energy, Exergy, and Economic Point of Views

Investigation the Integration of Heliostat Solar Receiver to Gas and Combined Cycles by Energy, Exergy, and Economic Point of Views

A critical assessment of thermo‐economic analyses of different air bottoming cycles for waste heat recovery

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