Keywords
Exergy analysis
Dual-function unit
Carnot battery system
Thermodynamic and economic models
How to Cite
Abstract
Artificial activities, environmental factors, and industrial production lead to periodic fluctuations in electricity consumption, necessitating peak-shaving measures to ensure efficient and stable operation of the power grid. The Carnot battery system represents an effective solution due to its high efficiency and convenience. In this paper, we propose a novel Carnot battery system based on a dual-function unit and establish thermodynamic and economic models. This paper proposed a simple reversible heat pump-organic Rankine cycle Carnot battery system, where a compression and expansion dual-function unit was developed to simplify the system and reduce investment costs. Subsequently, considering the unsaturated operating conditions that occur during practical operation, a comprehensive performance analysis of the system is conducted by varying pressure and temperature parameters. Afterward, an exergy analysis is performed on the proposed system to determine the exergy losses of its components for subsequent optimization. The results indicate that pressure drop has a detrimental effect on the system. When the pressure drop is 15 kPa, the system achieves a power-to-power ratio (P2P), levelized cost of storage (LCOS), and exergy efficiency of 27.57%, 0.66 $/kW∙h, and 62.8%. However, this also leads to increased exergy losses in the evaporator, resulting in decreased exergy efficiency. The evaporator exhibits the highest exergy loss, with a maximum loss of 21.16 kW among all components. Undercharging mode, the condenser shows the lowest exergy efficiency of 64.43%.
References
Ge X, Ma Y, Li Y, Jiao Y, Wang Z, Wu F, et al. Daily peak shaving operation of mixed pumped-storage hydro plants considering cascade hydraulic coupling. Energy Rep. 2023; 9: 971-8. https://doi.org/10.1016/j.egyr.2023.05.207
Efkarpidis NA, Imoscopi S, Geidl M, Cini A, Lukovic S, Alippi C, et al. Peak shaving in distribution networks using stationary energy storage systems: A Swiss case study. Sustain Energy Grid Netw. 2023; 34: 101018. https://doi.org/10.1016/j.segan.2023.101018
Meng Y, Cao Y, Li J, Liu C, Li J, Wang Q, et al. The real cost of deep peak shaving for renewable energy accommodation in coal-fired power plants: Calculation framework and case study in China. J Clean Prod. 2022; 367: 132913. https://doi.org/10.1016/j.jclepro.2022.132913
Zhang M, Shi L, Zhang Y, He J, Sun X, Hu P, et al. Configuration mapping of thermally integrated pumped thermal energy storage system. Energy Convers Manag. 2023; 294: 117561. https://doi.org/10.1016/j.enconman.2023.117561
Sharma S, Mortazavi M. Pumped thermal energy storage: A review. Int J Heat Mass Transf. 2023; 213: 124286. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124286
Sorknæs P, Thellufsen JZ, Knobloch K, Engelbrecht K, Yuan M. Economic potentials of carnot batteries in 100% renewable energy systems. Energy. 2023; 282: 128837. https://doi.org/10.1016/j.energy.2023.128837
Su Z, Yang L, Song J, Jin X, Wu X, Li X. Multi-dimensional comparison and multi-objective optimization of geothermal-assisted Carnot battery for photovoltaic load shifting. Energy Convers Manag. 2023; 289: 117156. https://doi.org/10.1016/j.enconman.2023.117156
Niu J, Wang J, Liu X, Dong L. Optimal integration of solar collectors to Carnot battery system with regenerators. Energy Convers Manag 2023; 277: 116625. https://doi.org/10.1016/j.enconman.2022.116625
Canpolat Tosun D, Açıkkalp E, Altuntas O, Hepbasli A, Palmero-Marrero AI, Borge-Diez D. Dynamic performance and sustainability assessment of a PV driven carnot battery. Energy. 2023; 278: 127769. https://doi.org/10.1016/j.energy.2023.127769
Hu S, Yang Z, Li J, Duan Y. Thermo-economic analysis of the pumped thermal energy storage with thermal integration in different application scenarios. Energy Convers Manag. 2021; 236: 114072. https://doi.org/10.1016/j.enconman.2021.114072
Dai R, Tian R, Zheng S, Wei M. Finite-time thermodynamic and economic analysis of Rankine Carnot battery based on life-cycle method. Appl Therm Eng. 2023; 230: 120813. https://doi.org/10.1016/j.applthermaleng.2023.120813
Fan R, Xi H. Energy, exergy, economic (3E) analysis, optimization and comparison of different Carnot battery systems for energy storage. Energy Convers Manag. 2022; 252: 115037. https://doi.org/10.1016/j.enconman.2021.115037
Ma R, Qiao H, Yu X, Yang B, Yang H. Thermo-economic analysis and multi-objective optimization of a reversible heat pump-organic Rankine cycle power system for energy storage. Appl Therm Eng. 2023; 220: 119658. https://doi.org/10.1016/j.applthermaleng.2022.119658
Steger D, Regensburger C, Eppinger B, Will S, Karl J, Schlücker E. Design aspects of a reversible heat pump - Organic rankine cycle pilot plant for energy storage. Energy. 2020; 208: 118216. https://doi.org/10.1016/j.energy.2020.118216
Mosaffa AH, Farshi LG, Infante Ferreira CA, Rosen MA. Exergoeconomic and environmental analyses of CO2/NH3 cascade refrigeration systems equipped with different types of flash tank intercoolers. Energy Convers Manag. 2016; 117: 442-53. https://doi.org/10.1016/j.enconman.2016.03.053
Ahmadi MH, Sayyaadi H, Mohammadi AH, Barranco-Jimenez MA. Thermo-economic multi-objective optimization of solar dish-Stirling engine by implementing evolutionary algorithm. Energy Convers Manag. 2013; 73: 370-80. https://doi.org/10.1016/j.enconman.2013.05.031
Martínez de León C, Ríos C, Molina P, Brey JJ. Levelized Cost of Storage (LCOS) for a hydrogen system. Int J Hydrogen Energy. 2023 (in press). https://doi.org/10.1016/j.ijhydene.2023.07.239
Wang L, Lin X, Zhang H, Peng L, Zhang X, Chen H. Analytic optimization of Joule–Brayton cycle-based pumped thermal electricity storage system. J Energy Storage. 2022; 47: 103663. https://doi.org/10.1016/j.est.2021.103663
Berstad D, Gundersen T. On the exergy efficiency of CO2 capture: The relation between sub-process and overall efficiencies. Carbon Capture Sci Technol. 2023; 7: 100111. https://doi.org/10.1016/j.ccst.2023.100111
Kirtania B, Shilapuram V. Conceptual design, energy, exergy, economic and water footprint analysis of CO2-ORC integrated dry gasification oxy-combustion power cycle. J Clean Prod. 2023; 416: 137930. https://doi.org/10.1016/j.jclepro.2023.137930
Yu X, Li Z, Zhang Z, Wang L, Qian G, Huang R, et al. Energy, exergy, economic performance investigation and multi-objective optimization of reversible heat pump-organic Rankine cycle integrating with thermal energy storage. Case Stud Thermal Eng. 2022;38: 102321. https://doi.org/10.1016/j.csite.2022.102321
Yu X, Qiao H, Yang B, Zhang H. Thermal-economic and sensitivity analysis of different Rankine-based Carnot battery configurations for energy storage. Energy Convers Manag. 2023; 283: 116959. https://doi.org/10.1016/j.enconman.2023.116959
Xu G, Liang F, Yang Y, Hu Y, Zhang K, Liu W. An improved CO2 separation and purification system based on cryogenic separation and distillation theory. Energies. 2014; 7: 3484-502. https://doi.org/10.3390/en7053484
Sanaye S, Shirazi A. Four E analysis and multi-objective optimization of an ice thermal energy storage for air-conditioning applications. Int J Refrig. 2013; 36: 828-41. https://doi.org/10.1016/j.ijrefrig.2012.10.014
Babajamali Z, khabaz MK, Aghadavoudi F, Farhatnia F, Eftekhari SA, Toghraie D. Pareto multi-objective optimization of tandem cold rolling settings for reductions and inter stand tensions using NSGA-II. ISA Trans. 2022; 130: 399-408. https://doi.org/10.1016/j.isatra.2022.04.002
Xia R, Wang Z, Cao M, Jiang Y, Tang H, Ji Y, et al. Comprehensive performance analysis of cold storage Rankine Carnot batteries: Energy, exergy, economic, and environmental perspectives. Energy Convers Manag. 2023; 293: 117485. https://doi.org/10.1016/j.enconman.2023.117485
Lei K, Chang J, Wang X, Guo A, Wang Y, Ren C. Peak shaving and short-term economic operation of hydro-wind-PV hybrid system considering the uncertainty of wind and PV power. Renew Energy. 2023; 215: 118903. https://doi.org/10.1016/j.renene.2023.118903
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