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    Sensitivity Analysis of the Levelized Cost of Electricity for a Particle-Based Concentrating Solar Power System

    Source: Journal of Solar Energy Engineering:;2022:;volume( 144 ):;issue: 003::page 30902-1
    Author:
    González-Portillo, Luis F.
    ,
    Albrecht, Kevin J.
    ,
    Sment, Jeremy
    ,
    Mills, Brantley
    ,
    Ho, Clifford K.
    DOI: 10.1115/1.4053167
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study presents a sensitivity analysis of the levelized cost of electricity (LCOE) for a particle-based system with the costs of the most current components. New models for the primary heat exchanger, thermal energy storage, and tower are presented and used to establish lower and upper bounds for these three components. The rest of component costs such as particle cost, cavity cost, and lift cost are set to lower and upper bounds estimating an uncertainty between 25% and 50%. Other relevant parameters related to lift and storage performance are also included in the analysis with the same uncertainty. This study also includes an upgrade to the receiver model by including the wind effect in the efficiency, which was not included in previous publications and may have a big impact in the system design. A parametric analysis shows the optimum values of solar multiple, storage hours, tower height, and concentration ratio, and a probabilistic analysis provides a cumulative distribution function for a range of LCOE values. The results show that the LCOE could be below $0.06/kWh with a probability of between 80% and 90%, where the costs of primary heat exchanger, particles, and lifts have largest contribution to the variance of the LCOE.
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      Sensitivity Analysis of the Levelized Cost of Electricity for a Particle-Based Concentrating Solar Power System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4284242
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    contributor authorGonzález-Portillo, Luis F.
    contributor authorAlbrecht, Kevin J.
    contributor authorSment, Jeremy
    contributor authorMills, Brantley
    contributor authorHo, Clifford K.
    date accessioned2022-05-08T08:42:33Z
    date available2022-05-08T08:42:33Z
    date copyright1/13/2022 12:00:00 AM
    date issued2022
    identifier issn0199-6231
    identifier othersol_144_3_030902.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284242
    description abstractThis study presents a sensitivity analysis of the levelized cost of electricity (LCOE) for a particle-based system with the costs of the most current components. New models for the primary heat exchanger, thermal energy storage, and tower are presented and used to establish lower and upper bounds for these three components. The rest of component costs such as particle cost, cavity cost, and lift cost are set to lower and upper bounds estimating an uncertainty between 25% and 50%. Other relevant parameters related to lift and storage performance are also included in the analysis with the same uncertainty. This study also includes an upgrade to the receiver model by including the wind effect in the efficiency, which was not included in previous publications and may have a big impact in the system design. A parametric analysis shows the optimum values of solar multiple, storage hours, tower height, and concentration ratio, and a probabilistic analysis provides a cumulative distribution function for a range of LCOE values. The results show that the LCOE could be below $0.06/kWh with a probability of between 80% and 90%, where the costs of primary heat exchanger, particles, and lifts have largest contribution to the variance of the LCOE.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSensitivity Analysis of the Levelized Cost of Electricity for a Particle-Based Concentrating Solar Power System
    typeJournal Paper
    journal volume144
    journal issue3
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4053167
    journal fristpage30902-1
    journal lastpage30902-8
    page8
    treeJournal of Solar Energy Engineering:;2022:;volume( 144 ):;issue: 003
    contenttypeFulltext
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