Thermoeconomic Optimization of an Irreversible Novikov Plant Model under Different Regimes of Performance

被引:11
|
作者
Carlos Pacheco-Paez, Juan [1 ]
Angulo-Brown, Fernando [1 ]
Antonio Barranco-Jimenez, Marco [2 ]
机构
[1] Inst Politecn Nacl, Escuela Super Fis & Matemat, Ciudad De Mexico 07738, DF, Mexico
[2] Inst Politecn Nacl, Escuela Super Computo, Ciudad De Mexico 07738, DF, Mexico
来源
ENTROPY | 2017年 / 19卷 / 03期
关键词
thermo-economics optimization; irreversible heat engine; Novikov model; ENDOREVERSIBLE HEAT ENGINE; MAXIMUM POWER OUTPUT; FINITE-TIME; ECOLOGICAL OPTIMIZATION; THERMODYNAMICS; CRITERION; EFFICIENCY; LAW; CYCLE;
D O I
10.3390/e19030118
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The so-called Novikov power plant model has been widely used to represent some actual power plants, such as nuclear electric power generators. In the present work, a thermo-economic study of a Novikov power plant model is presented under three different regimes of performance: maximum power (MP), maximum ecological function (ME) and maximum efficient power (EP). In this study, different heat transfer laws are used: The Newton's law of cooling, the Stefan-Boltzmann radiation law, the Dulong-Petit's law and another phenomenological heat transfer law. For the thermoeconomic optimization of power plant models, a benefit function defined as the quotient of an objective function and the total economical costs is commonly employed. Usually, the total costs take into account two contributions: a cost related to the investment and another stemming from the fuel consumption. In this work, a new cost associated to the maintenance of the power plant is also considered. With these new total costs, it is shown that under the maximum ecological function regime the plant improves its economic and energetic performance in comparison with the other two regimes. The methodology used in this paper is within the context of finite-time thermodynamics.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Physiological response of Fenugreek plant to the application of proline under different water regimes.
    Abd Elhamid, Ebtihal M.
    Sadak, Mervat Sh
    Tawfik, M. M.
    [J]. RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2016, 7 (03): : 580 - 594
  • [42] Allometric Relationships of Maize Organ Development under Different Water Regimes and Plant Densities
    Song, Youhong
    Birch, Colin
    Rui, Yukui
    Hanan, Jim
    [J]. PLANT PRODUCTION SCIENCE, 2015, 18 (01) : 1 - 10
  • [43] Temporal trajectories of plant functional traits in mediterranean grasslands under different grazing regimes
    Al Hajj, Nour
    Bricca, Alessandro
    Caria, Maria Carmela
    Gascon, Stephanie
    Piga, Giovanna
    Pulina, Antonio
    Rivieccio, Giovanni
    Hassoun, George
    Bonari, Gianmaria
    Bagella, Simonetta
    [J]. APPLIED VEGETATION SCIENCE, 2024, 27 (03)
  • [44] Performance of a volatiles distributor equipped with internal baffles under different fluidization regimes
    Li, Xiaoyun
    Lyngfelt, Anders
    Linderholm, Carl
    Leckner, Bo
    Mattisson, Tobias
    [J]. POWDER TECHNOLOGY, 2022, 409
  • [45] INFLUENCE OF DIETARY ENERGY ON PERFORMANCE OF BROILERS REARED UNDER DIFFERENT LIGHTING REGIMES
    CHERRY, JA
    BEANE, WL
    WEAVER, WD
    [J]. POULTRY SCIENCE, 1978, 57 (04) : 998 - 1001
  • [46] Performance of UPFD scheme under some different regimes of advection, diffusion and reaction
    Appadu, Appanah Rao
    [J]. INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW, 2017, 27 (07) : 1412 - 1429
  • [47] Comparative performance of different Canola varieties under various salinity regimes.
    Gul, H
    Ahmad, R
    Ismail, S
    [J]. PROSPECTS FOR SALINE AGRICULTURE, 2002, 37 : 251 - 260
  • [48] Off-design Thermoeconomic Performance Analysis of Gas Turbine Combined Cycle Under Different Operation Strategies
    Wang Z.
    Duan L.
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2021, 41 (14): : 4912 - 4922
  • [49] A generalizing fuzzy model for shallow cavity flows under different Mach regimes
    Efe, MÖ
    Debiasi, M
    Yan, P
    Özbay, H
    Samimy, M
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), VOLS 1AND 2, 2005, : 67 - 72
  • [50] ASSESSMENT OF AQUACROP MODEL IN THE SIMULATION OF WHEAT GROWTH UNDER DIFFERENT WATER REGIMES
    Kale, Sema
    [J]. SCIENTIFIC PAPERS-SERIES A-AGRONOMY, 2016, 59 : 308 - 314