Parametric Analysis of Particle CSP System Performance and Cost to Intrinsic Particle Properties and Operating Conditions

Kevin Albrecht, M. Bauer, C. Ho
{"title":"Parametric Analysis of Particle CSP System Performance and Cost to Intrinsic Particle Properties and Operating Conditions","authors":"Kevin Albrecht, M. Bauer, C. Ho","doi":"10.1115/es2019-3893","DOIUrl":null,"url":null,"abstract":"\n The use of solid particles as a heat-transfer fluid and thermal storage media for concentrating solar power is a promising candidate for meeting levelized cost of electricity (LCOE) targets for next-generation CSP concepts. Meeting these cost targets for a given system concept will require optimization of the particle heat-transfer fluid with simultaneous consideration of all system components and operating conditions. This paper explores the trade-offs in system operating conditions and particle thermophysical properties on the levelized cost of electricity through parametric analysis. A steady-state modeling methodology for design point simulations dispatched against typical meteorological year (TMY) data is presented, which includes computationally efficient submodels of a falling particle receiver, moving packed-bed heat exchanger, storage bin, particle lift, and recompression supercritical CO2 (sCO2) cycle. The components selected for the baseline system configuration presents the most near-term realization of a particle-based CSP system that has been developed to date. However, the methodology could be extended to consider alternative particle receiver and heat exchanger concepts. The detailed system-level model coupled to component cost models is capable of propagating component design and performance information directly into the plant performance and economics. The system-level model is used to investigate how the levelized cost of electricity varies with changes in particle absorptivity, hot storage bin temperature, heat exchanger approach temperature, and sCO2 cycle operating parameters. Trade-offs in system capital cost and solar-to-electric efficiency due to changes in the size of the heliostat field, storage bins, primary heat exchanger, and receiver efficiency are observed. Optimal system operating conditions are reported, which approach levelized costs of electricity of $0.06 kWe−1hr−1.","PeriodicalId":219138,"journal":{"name":"ASME 2019 13th International Conference on Energy Sustainability","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASME 2019 13th International Conference on Energy Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/es2019-3893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

The use of solid particles as a heat-transfer fluid and thermal storage media for concentrating solar power is a promising candidate for meeting levelized cost of electricity (LCOE) targets for next-generation CSP concepts. Meeting these cost targets for a given system concept will require optimization of the particle heat-transfer fluid with simultaneous consideration of all system components and operating conditions. This paper explores the trade-offs in system operating conditions and particle thermophysical properties on the levelized cost of electricity through parametric analysis. A steady-state modeling methodology for design point simulations dispatched against typical meteorological year (TMY) data is presented, which includes computationally efficient submodels of a falling particle receiver, moving packed-bed heat exchanger, storage bin, particle lift, and recompression supercritical CO2 (sCO2) cycle. The components selected for the baseline system configuration presents the most near-term realization of a particle-based CSP system that has been developed to date. However, the methodology could be extended to consider alternative particle receiver and heat exchanger concepts. The detailed system-level model coupled to component cost models is capable of propagating component design and performance information directly into the plant performance and economics. The system-level model is used to investigate how the levelized cost of electricity varies with changes in particle absorptivity, hot storage bin temperature, heat exchanger approach temperature, and sCO2 cycle operating parameters. Trade-offs in system capital cost and solar-to-electric efficiency due to changes in the size of the heliostat field, storage bins, primary heat exchanger, and receiver efficiency are observed. Optimal system operating conditions are reported, which approach levelized costs of electricity of $0.06 kWe−1hr−1.
粒子CSP系统性能和成本对粒子特性和运行条件的参数化分析
固体颗粒作为聚光太阳能发电的传热流体和储热介质是满足下一代CSP概念的平准化电力成本(LCOE)目标的有希望的候选物。为了满足给定系统概念的这些成本目标,需要优化颗粒传热流体,同时考虑所有系统组件和操作条件。本文通过参数分析探讨了系统运行条件和粒子热物理性质对平准化电力成本的权衡。提出了一种针对典型气象年(TMY)数据进行设计点模拟的稳态建模方法,其中包括沉降颗粒收集器、移动填料床热交换器、存储仓、颗粒提升和再压缩超临界CO2 (sCO2)循环的计算效率子模型。为基线系统配置选择的组件展示了迄今为止开发的基于颗粒的CSP系统的近期实现。然而,该方法可以扩展到考虑替代颗粒接收器和热交换器的概念。与组件成本模型耦合的详细系统级模型能够将组件设计和性能信息直接传播到工厂性能和经济中。系统级模型用于研究平准化电力成本如何随颗粒吸收率、储热仓温度、热交换器接近温度和sCO2循环运行参数的变化而变化。由于定日镜场、储物箱、主热交换器和接收器效率的变化,系统资本成本和太阳能发电效率的权衡被观察到。报告了最优系统运行条件,接近0.06 kWe−1hr−1的电力成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信